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  • 2015-2019  (2.065)
  • 1930-1934  (50)
  • Birmingham, UK : Packt Publishing  (2.030)
  • Bruxelles
Materialart
Erscheinungszeitraum
Jahr
Fachgebiete(RVK)
  • 1
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1984/85(1984) -
    Dazugehörige Bände/Artikel
    In:  Alternatives
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1984/85(1984) -
    Suppl.: 1984/85=3 von "Répertoire général des Alternatives"
    Titel der Quelle: Alternatives
    Publ. der Quelle: Bruxelles, 1982
    DDC: 050
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1984 -
    Dazugehörige Bände/Artikel
    In:  Alternatives
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1984 -
    Suppl.: 1984=[1] von "Répertoire général des Alternatives"
    Vorheriger Titel: Vorg. Vivre en forme / Vivre autrement
    Titel der Quelle: Alternatives
    Publ. der Quelle: Bruxelles, 1982
    DDC: 050
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; Nachgewiesen 1994 -
    Dazugehörige Bände/Artikel
    In:  Le vif / L 'express
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: Nachgewiesen 1994 -
    Titel der Quelle: Le vif / L 'express
    Publ. der Quelle: Bruxelles, 1994
    DDC: 050
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; Nachgewiesen [2.]1982/83 - [3.]1983/84 = Nr. 9-18; 4.1984/85,19 -
    Dazugehörige Bände/Artikel
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: Nachgewiesen [2.]1982/83 - [3.]1983/84 = Nr. 9-18; 4.1984/85,19 -
    Suppl.: Beil. Annuaire de la paix
    Suppl.: Beil. Annuaire du développement et de la solidarité
    Suppl.: Beil. Annuaire de l'écologie
    DDC: 050
    Schlagwort(e): Zeitschrift
    Anmerkung: Auch mit durchgehender Nr.-Zählung
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  • 5
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.[2006] -
    Sprache: Englisch , Französisch
    Erscheinungsverlauf: 1.[2006] -
    DDC: 390
    Schlagwort(e): Monografische Reihe
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  • 6
    Sprache: Unbestimmte Sprache
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.[2006] -
    Sprache: Englisch , Französisch
    Erscheinungsverlauf: 1.[2006] -
    DDC: 390
    Schlagwort(e): Monografische Reihe
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.1971 -
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1.1971 -
    DDC: 300
    Schlagwort(e): Monografische Reihe
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 9
    Online-Ressource
    Online-Ressource
    Bruxelles ; Nachgewiesen 1999 -
    Dazugehörige Bände/Artikel
    ISSN: 1780-4957
    Sprache: Französisch
    Seiten: Online-Ressource
    Erscheinungsverlauf: Nachgewiesen 1999 -
    DDC: 800
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 10
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; [1.]1976 -
    ISSN: 0775-1532 , 0776-3697
    Sprache: Französisch
    Erscheinungsverlauf: [1.]1976 -
    Vorheriger Titel: bulletin des Musées de Wallonie et de Bruxelles (Belgique)
    DDC: 060
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 11
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.1973 -
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1.1973 -
    DDC: 910
    Schlagwort(e): Monografische Reihe
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 12
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.[2006] -
    Sprache: Englisch , Französisch
    Erscheinungsverlauf: 1.[2006] -
    DDC: 390
    Schlagwort(e): Monografische Reihe
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  • 13
    Sprache: Französisch , Niederländisch
    Erscheinungsverlauf: Nachgewiesen 1956 -
    DDC: 070
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 14
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1.1966,Febr. -
    DDC: 360
    Schlagwort(e): Zeitschrift
    Anmerkung: Weitere beteil. Körp. anfangs: Centre d'Etude d'Arts, Traditions et Parlers Populaires Bruxelles
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  • 15
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: [1.]1936 -
    DDC: 380
    Schlagwort(e): Zeitschrift ; Landeskunde
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 16
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.1930 - 24.1960[?] = Nr. 1-892[?]; 1961[?] -
    ISSN: 0005-7509
    Sprache: Französisch
    Erscheinungsverlauf: 1.1930 - 24.1960[?] = Nr. 1-892[?]; 1961[?] -
    DDC: 700
    Schlagwort(e): Zeitschrift
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  • 17
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; N.S. 5.1959,6 - 13.1967; 15.1969 -
    ISSN: 0001-4176
    Sprache: Niederländisch , Französisch
    Erscheinungsverlauf: N.S. 5.1959,6 - 13.1967; 15.1969 -
    Suppl.: Ersch. ab 13.1967 alternierend mit Académie Royale des Sciences d'Outre-Mer (Brüssel) Mededelingen der zittingen Brussel : KAOW, 1968 0001-4176
    Suppl.: 6,1=1960; 7,1=1961; 8,1=1963; 10,1=1964;11,1=1965; 12,1=1966 usw. von Académie Royale des Sciences d'Outre-Mer (Brüssel) Annuaire Bruxelles, 1960
    Vorheriger Titel: Vorg. Académie Royale des Sciences Coloniales (Brüssel) Bulletin des séances
    DDC: 900
    Schlagwort(e): Zeitschrift
    Anmerkung: Teils ohne Jg.-Zählung; 8.1962,1 nicht ersch.
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  • 18
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; N.S. 5.1959,6 - 13.1967; 15.1969 -
    ISSN: 0001-4176
    Sprache: Niederländisch , Französisch
    Erscheinungsverlauf: N.S. 5.1959,6 - 13.1967; 15.1969 -
    Suppl.: 6,1=1960; 7,1=1961; 8,1=1963; 10,1=1964;11,1=1965; 12,1=1966 61,1=2015 von Académie Royale des Sciences d'Outre-Mer 〈Brüssel〉 Annuaire / Académie Royale des Sciences d'Outre-Mer Bruxelles, 1960-
    Vorheriger Titel: Vorg.: Académie Royale des Sciences Coloniales 〈Brüssel〉 Bulletin des séances / Académie Royale des Sciences Coloniales
    Nachfolgender Titel: Ersch. ab 13.1967 alternierend mit Académie Royale des Sciences d'Outre-Mer 〈Brüssel〉 Mededelingen der zittingen / Koninklijke Academie voor Overzeese Wetenschappen, Onder der Hoge Bescherming van de Koning
    Schlagwort(e): Zeitschrift
    Anmerkung: Teils ohne Jg.-Zählung; 8.1962,1 nicht ersch.
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  • 19
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; Nachgewiesen 2006 -
    Sprache: Französisch , Englisch
    Erscheinungsverlauf: Nachgewiesen 2006 -
    DDC: 020
    Schlagwort(e): Zeitschrift
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  • 20
    Buch
    Buch
    Bruxelles
    Dazugehörige Bände/Artikel
    Sprache: Englisch
    Schlagwort(e): Art objects, Chinese Exhibitions ; Bronzes, Chinese Exhibitions
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  • 21
    Sprache: Deutsch
    Serie: Mémoires / Collection in -4° / Section des Sciences Morales et Politiques / Institut Royal Colonial Belge ...
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  • 22
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; Nachgewiesen 1992 -
    Sprache: Französisch
    Erscheinungsverlauf: Nachgewiesen 1992 -
    DDC: 700
    Schlagwort(e): Gisèle Croes (Gallery) Catalogs ; Periodicals ; Art, East Asian Catalogs ; Periodicals ; Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 23
    Sprache: Französisch
    Serie: Annales du Musée du Congo ...
    Serie: D, Ethnographie et anthropologie
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  • 24
    Sprache: Französisch
    Serie: Annales du Musée du Congo ...
    Serie: D, Ethnographie et anthropologie
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  • 25
    Sprache: Französisch
    Serie: Vente aux enchères publiques Bruxelles / Pierre Bergé & Associés ...
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 26
    Sprache: Französisch
    Seiten: 48 cm
    Ausgabe: Lieferungswerk in 2 Mappen
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  • 27
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1.1924 -
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1.1924 -
    DDC: 340
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 28
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1984 -
    Dazugehörige Bände/Artikel
    In:  Alternatives
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: 1984 -
    Suppl.: 1984=2 von "Répertoire général des Alternatives"
    Titel der Quelle: Alternatives
    Publ. der Quelle: Bruxelles, 1982
    DDC: 050
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 29
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; 1990(1991) -
    Dazugehörige Bände/Artikel
    In:  Réserves naturelles
    Sprache: Englisch
    Erscheinungsverlauf: 1990(1991) -
    Titel der Quelle: Réserves naturelles
    Publ. der Quelle: Bruxelles, 1983
    DDC: 590
    Schlagwort(e): Zeitschrift
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 30
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; No. 57.1984 -
    Dazugehörige Bände/Artikel
    In:  Test achats
    ISSN: 0772-9383 , 0772-974X
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: No. 57.1984 -
    Vorheriger Titel: Vorg. Test achats budget
    Titel der Quelle: Test achats
    Publ. der Quelle: Bruxelles : Assoc., 1959
    DDC: 600
    Schlagwort(e): Zeitschrift
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  • 31
    Sprache: Französisch
    Serie: Annales du Musée du Congo ...
    Serie: D, Ethnographie et anthropologie
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 32
    Sprache: Französisch
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  • 33
    Buch
    Buch
    Bruxelles
    Sprache: Deutsch
    Serie: Mémoires / Collection in -4° / Section des Sciences Morales et Politiques / Institut Royal Colonial Belge ...
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  • 34
    Zeitschrift/Serie
    Zeitschrift/Serie
    Bruxelles ; Nachgewiesen 1994 -
    Dazugehörige Bände/Artikel
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: Nachgewiesen 1994 -
    Suppl.: Beil. Televif
    Suppl.: Beil. Le vif / L 'express / Cahier
    DDC: 050
    Schlagwort(e): Zeitschrift
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  • 35
    ISSN: 0770-2310 , 0770-2310 , 0770-2310
    Sprache: Unbestimmte Sprache
    Erscheinungsverlauf: Nr. 1.1978 -
    Paralleltitel: Erscheint auch als Revue interdisciplinaire d'études juridiques
    DDC: 340
    Schlagwort(e): Zeitschrift
    Anmerkung: Index 1/10.1978/83 in: 11.1983; 1/12.1978/84 in: 13.1984; 12/16.1984/86 in: 17.1986; 1/20.1978/88 in: 21.1988
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  • 36
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789612943 , 1789612942
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Go (Computer program language) ; Data mining ; Internet searching ; Data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping. Key Features Use Go libraries like Goquery and Colly to scrape the web Common pitfalls and best practices to effectively scrape and crawl Learn how to scrape using the Go concurrency model Book Description Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery. The book starts with an introduction to the use cases of building a web scraper and the main features of the Go programming language, along with setting up a Go environment. It then moves on to HTTP requests and responses and talks about how Go handles them. You will also learn about a number of basic web scraping etiquettes. You will be taught how to navigate through a website, using a breadth-first and then a depth-first search, as well as find and follow links. You will get to know about the ways to track history in order to avoid loops and to protect your web scraper using proxies. Finally the book will cover the Go concurrency model, and how to run scrapers in parallel, along with large-scale distributed web scraping. What you will learn Implement Cache-Control to avoid unnecessary network calls Coordinate concurrent scrapers Design a custom, larger-scale scraping system Scrape basic HTML pages with Colly and JavaScript pages with chromedp Discover how to search using the "strings" and "regexp" packages Set up a Go development environment Retrieve information from an HTML document Protect your web scraper from being blocked by using proxies Control web browsers to scrape JavaScript sites Who this book is for Data scientists, and web developers with a basic knowledge of Golang wanting to collect web data and analyze them for effective reporting and visualization.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 37
    ISBN: 9781789341188 , 1789341183
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Rust (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: Become proficient in designing, developing and deploying effective software systems using the advanced constructs of Rust Key Features Improve your productivity using the latest version of Rust and write simpler and easier code Understand Rust's immutability and ownership principle, expressive type system, safe concurrency Deep dive into the new doamins of Rust like WebAssembly, Networking and Command line tools Book Description Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust ? Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You'll learn how Rust can be used for systems programming, network programming, and even on the web. You'll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code. What you will learn Write generic and type-safe code by using Rust's powerful type system How memory safety works without garbage collection Know the different strategies in error handling and when to use them Learn how to use concurrency primitives such as threads and channels Use advanced macros to reduce boilerplate code Create efficient web applications with the Actix-web framework Use Diesel for type-safe database interactions in your web application Who this book is for The book is aimed at beginner and intermediate programmers who already have familiarity with any imperative language and have only heard of Rust as a new language. If you are a developer who wants to write robust, efficient and maintainable software systems and want to become proficient with Rust, this book is for you. It starts by giving a whirlw...
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 38
    ISBN: 9781789341980 , 1789341981
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Paralleltitel: Erscheint auch als Kolodin, Denis Hands-on microservices with Rust
    Schlagwort(e): Rust (Computer program language) ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Kurzfassung: A comprehensive guide in developing and deploying high performance microservices with Rust Key Features Start your microservices journey and get a broader perspective on microservices development using RUST 2018, Build, deploy, and test microservices using AWS Explore advanced techniques for developing microservices such as actor model, Requests Routing, and threads Book Description Microservice architecture is sweeping the world as the de facto pattern for building web-based applications. Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C. This book describes web development using the Rust programming language and will get you up and running with modern web frameworks and crates with examples of RESTful microservices creation. You will deep dive into Reactive programming, and asynchronous programming, and split your web application into a set of concurrent actors. The book provides several HTTP-handling examples with manageable memory allocations. You will walk through stateless high-performance microservices, which are ideally suitable for computation or caching tasks, and look at stateful microservices, which are filled with persistent data and database interactions. As we move along, you will learn how to use Rust macros to describe business or protocol entities of our application and compile them into native structs, which will be performed at full speed with the help of the server's CPU. Finally, you will be taken through examples of how to test and debug microservices and pack them into a tiny monolithic binary or put them into a container and deploy them to modern cloud platforms such as AWS. What you will learn Get acquainted with leveraging Rust web programming Get to grips with various Rust crates, such as hyper, Tokio, and Actix Explore RESTful microservices with Rust Understand how to pack Rust code to a container using Docker Familiarize yourself with Reactive microservices Deploy your microservices to modern cloud platforms such as AWS Who this book is for This book is for developers who have basic knowledge of RUST, and want to learn how to build, test, scale, and manage RUST microservices. No prior experience of writing microservices in RUST is assumed. Downloading the example code for this ebook: You can download the example code files for this ebook on GitHub at the following link:https://github.com/PacktPublishing/...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
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  • 39
    ISBN: 9781789345247 , 1789345243
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): Computer networks ; Security measures ; Computer security ; Computer networks ; Electronic books ; Electronic books ; local
    Kurzfassung: Gather detailed statistics and deploy impressive business solutions with Zabbix 4.0 Key Features Experience the full impact of Zabbix 4.0, a useful and increasingly popular tool Enhance your network's performance and manage hosts and systems A step-by-step guide to smarter network monitoring Book Description Zabbix 4 Network Monitoring is the perfect starting point for monitoring the performance of your network devices and applications with Zabbix. Even if you've never used a monitoring solution before, this book will get you up and running quickly. You'll learn to monitor more sophisticated operations with ease and soon feel in complete control of your network, ready to meet any challenges you might face. Starting with the installation, you will discover the new features in Zabbix 4.0. You will then get to grips with native Zabbix agents and Simple Network Management Protocol (SNMP) devices. You will also explore Zabbix's integrated functionality for monitoring Java application servers and VMware. This book also covers notifications, permission management, system maintenance, and troubleshooting, so you can be confident that every potential challenge and task is under your control. If you're working with larger environments, you'll also be able to find out more about distributed data collection using Zabbix proxies. Once you're confident and ready to put these concepts into practice, you will understand how to optimize and improve performance. Troubleshooting network issues is vital for anyone working with Zabbix, so the book also helps you work through any technical snags and glitches you might face. By the end of this book, you will have learned more advanced techniques to fine-tune your system and make sure it is in a healthy state. What you will learn Install Zabbix server and an agent from source Manage hosts, users, and permissions while acting upon monitored conditions Visualize data with the help of ad hoc graphs, custom graphs, and maps Simplify complex configurations and learn to automate them Monitor everything from web pages to IPMI devices and Java applications to VMware stats Configure Zabbix to send alerts including problem severity and time periods Troubleshoot any network issue Who this book is for If you're new to Zabbix look no further than this book. Zabbix 4 Network Monitoring is for system and network administrators who are looking to put their knowledge to work with Zabbix 4.0.
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 12, 2019)
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  • 40
    ISBN: 9781789134261 , 1789134269
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Application software ; Development ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Leverage the features and libraries of Python to administrate your environment efficiently. Key Features Learn how to solve problems of system administrators and automate routine activities Learn to handle regular expressions, network administration Building GUI, web-scraping and database administration including data analytics Book Description Python has evolved over time and extended its features in relation to every possible IT operation. Python is simple to learn, yet has powerful libraries that can be used to build powerful Python scripts for solving real-world problems and automating administrators' routine activities. The objective of this book is to walk through a series of projects that will teach readers Python scripting with each project. This book will initially cover Python installation and quickly revise basic to advanced programming fundamentals. The book will then focus on the development process as a whole, from setup to planning to building different tools. It will include IT administrators' routine activities (text processing, regular expressions, file archiving, and encryption), network administration (socket programming, email handling, the remote controlling of devices using telnet/ssh, and protocols such as SNMP/DHCP), building graphical user interface, working with websites (Apache log file processing, SOAP and REST APIs communication, and web scraping), and database administration (MySQL and similar database data administration, data analytics, and reporting). By the end of this book, you will be able to use the latest features of Python and be able to build powerful tools that will solve challenging, real-world tasks What you will learn Understand how to install Python and debug Python scripts Understand and write scripts for automating testing and routine administrative activities Understand how to write scripts for text processing, encryption, decryption, and archiving Handle files, such as pdf, excel, csv, and txt files, and generate reports Write scripts for remote network administration, including handling emails Build interactive tools using a graphical user interface Handle Apache log files, SOAP and REST APIs communication Automate database administration and perform statistical analysis Who this book is for This book would be ideal for users with some basic understanding of Python programming and who are interested in scaling their programming skills to command line scripting and system administration. Prior ...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 41
    ISBN: 9781788837958 , 1788837959
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): C++ (Computer program language) ; Software patterns ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: A comprehensive guide with extensive coverage on concepts such as OOP, functional programming, generic programming, and STL along with the latest features of C++ Key Features Delve into the core patterns and components of C++ in order to master application design Learn tricks, techniques, and best practices to solve common design and architectural challenges Understand the limitation imposed by C++ and how to solve them using design patterns Book Description C++ is a general-purpose programming language designed with the goals of efficiency, performance, and flexibility in mind. Design patterns are commonly accepted solutions to well-recognized design problems. In essence, they are a library of reusable components, only for software architecture, and not for a concrete implementation. The focus of this book is on the design patterns that naturally lend themselves to the needs of a C++ programmer, and on the patterns that uniquely benefit from the features of C++, in particular, the generic programming. Armed with the knowledge of these patterns, you will spend less time searching for a solution to a common problem and be familiar with the solutions developed from experience, as well as their advantages and drawbacks. The other use of design patterns is as a concise and an efficient way to communicate. A pattern is a familiar and instantly recognizable solution to specific problem; through its use, sometimes with a single line of code, we can convey a considerable amount of information. The code conveys: "This is the problem we are facing, these are additional considerations that are most important in our case; hence, the following well-known solution was chosen." By the end of this book, you will have gained a comprehensive understanding of design patterns to create robust, reusable, and maintainable code. What you will learn Recognize the most common design patterns used in C++ Understand how to use C++ generic programming to solve common design problems Explore the most powerful C++ idioms, their strengths, and drawbacks Rediscover how to use popular C++ idioms with generic programming Understand the impact of design patterns on the program's performance Who this book is for This book is for experienced C++ developers and programmers who wish to learn about software design patterns and principles and apply them to create robust, reusable, and easily maintainable apps.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed February 15, 2019)
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  • 42
    ISBN: 9781789806090 , 1789806097
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Features Master machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, social media, and a variety of domains Implement smart cognitive models with helpful tips and best practices Book Description R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you'll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You'll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations. What you will learn Explore deep neural networks and various frameworks that can be used in R Develop a joke recommendation engine to recommend jokes that match users' tastes Create powerful ML models with ensembles to predict employee attrition Build autoencoders for credit card fraud detection Work with image recognition and convolutional neural networks Make predictions for casino slot machine using reinforcement learning Implement NLP techniques for sentiment analysis and customer segmentation Who this book is for If you're a data analyst, data scientist, or machine learning developer who wants to master machine learning concepts using R by building real-world projects, this is the book for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this book.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 6, 2019)
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  • 43
    ISBN: 9781789802528 , 1789802520
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Qt (Electronic resource) ; Graphical user interfaces (Computer systems) ; Design ; C++ (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Use Qt 5 to design and build functional, appealing, and user-friendly graphical user interfaces (GUIs) for your applications. Key Features Learn to use Qt 5 to design and customize the look and feel of your application Improve the visual quality of an application by using graphics rendering and animation Understand the balance of presentation and web content that will make an application appealing yet functional Book Description With the growing need to develop GUIs for multiple targets and multiple screens, improving the visual quality of your application becomes important so that it stands out from your competitors. With its cross-platform ability and the latest UI paradigms, Qt makes it possible to build intuitive, interactive, and user-friendly user interfaces for your applications. Qt5 C++ GUI Programming Cookbook, Second Edition teaches you how to develop functional and appealing user interfaces using the latest version of QT5 and C++. This book will help you learn a variety of topics such as GUI customization and animation, graphics rendering, implementing Google Maps, and more. You will also be taken through advanced concepts like asynchronous programming, event handling using signals and slots, network programming, various aspects of optimizing your application. By the end of the book, you will be confident to design and customize GUI applications that meet your clients' expectations and have an understanding of best practice solutions for common problems. What you will learn Animate GUI elements using Qt5's built-in animation system Draw shapes and 2D images using Qt5's powerful rendering system Implement an industry-standard OpenGL library in your project Build a mobile app that supports touch events and exports it onto devices Parse and extract data from an XML file and present it on your GUI Interact with web content by calling JavaScript functions from C++ Access MySQL and SQLite databases to retrieve data and display it on your GUI Who this book is for This intermediate-level book is designed for those who want to develop software using Qt 5. If you want to improve the visual quality and content presentation of your software application, this book is for you. Prior experience of C++ programming is required.
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 44
    ISBN: 9781789807301 , 1789807301
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Fifth edition.
    Schlagwort(e): Captivate (Electronic resource) ; Interactive multimedia ; Authoring programs ; Presentation graphics software ; Electronic books ; local ; Electronic books
    Kurzfassung: Create responsive eLearning content, including quizzes, demonstrations, simulations and Virtual Reality projects that fit on any device with Adobe Captivate 2019 Key Features Build responsive, interactive and highly engaging learning content with Adobe Captivate 2019 Build Virtual Reality eLearning experiences with Adobe Captivate 2019 Assess your student knowledge with interactive and random quizzes Seamlessly integrate your eLearning content with any SCORM or xAPI compliant LMS Book Description Adobe Captivate is used to create highly engaging, interactive, and responsive eLearning content. This book takes you through the production of a few pieces of eLearning content, covering all the project types and workflows of Adobe Captivate. First, you will learn how to create a typical interactive Captivate project. This will give you the opportunity to review all Captivate objects and uncover the application's main tools. Then, you will use the built-in capture engine of Captivate to create an interactive software simulation and a Video Demo that can be published as an MP4 video. Then, you will approach the advanced responsive features of Captivate to create a project that can be viewed on any device. And finally, you will immerse your learners in a 360o environment by creating Virtual Reality projects of Adobe Captivate. At the end of the book, you will empower your workflow and projects with the newer and most advanced features of the application, including variables, advanced actions, JavaScript, and using Captivate 2019 with other applications. If you want to produce high quality eLearning content using a wide variety of techniques, implement eLearning in your company, enable eLearning on any device, assess the effectiveness of the learning by using extensive Quizzing features, or are simply interested in eLearning, this book has you covered! What you will learn Learn how to use the objects in Captivate to build professional eLearning content Enhance your projects by adding interactivity, animations, and more Add multimedia elements, such as audio and video, to create engaging learning experiences Use themes to craft a unique visual experience Use question slides to create SCORM-compliant quizzes that integrate seamlessly with your LMS Make your content fit any device with responsive features of Captivate Create immersive 360B0; experiences with Virtual Reality projects of Captivate 2019 Integrate Captivate with other applications (such as Pow...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 21, 2019)
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  • 45
    ISBN: 9781789611694 , 1789611695
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Computer software ; Testing ; Automation ; Computer networks ; Security measures ; Information technology ; Security measures ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Your one stop guide to automating infrastructure security using DevOps and DevSecOps Key Features Secure and automate techniques to protect web, mobile or cloud services Automate secure code inspection in C++, Java, Python, and JavaScript Integrate security testing with automation frameworks like fuzz, BDD, Selenium and Robot Framework Book Description Security automation is the automatic handling of software security assessments tasks. This book helps you to build your security automation framework to scan for vulnerabilities without human intervention. This book will teach you to adopt security automation techniques to continuously improve your entire software development and security testing. You will learn to use open source tools and techniques to integrate security testing tools directly into your CI/CD framework. With this book, you will see how to implement security inspection at every layer, such as secure code inspection, fuzz testing, Rest API, privacy, infrastructure security, and web UI testing. With the help of practical examples, this book will teach you to implement the combination of automation and Security in DevOps. You will learn about the integration of security testing results for an overall security status for projects. By the end of this book, you will be confident implementing automation security in all layers of your software development stages and will be able to build your own in-house security automation platform throughout your mobile and cloud releases. What you will learn Automate secure code inspection with open source tools and effective secure code scanning suggestions Apply security testing tools and automation frameworks to identify security vulnerabilities in web, mobile and cloud services Integrate security testing tools such as OWASP ZAP, NMAP, SSLyze, SQLMap, and OpenSCAP Implement automation testing techniques with Selenium, JMeter, Robot Framework, Gauntlt, BDD, DDT, and Python unittest Execute security testing of a Rest API Implement web application security with open source tools and script templates for CI/CD integration Integrate various types of security testing tool results from a single project into one dashboard Who this book is for The book is for software developers, architects, testers and QA engineers who are looking to leverage automated security testing techniques.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
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  • 46
    ISBN: 9781789611380 , 1789611385
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): MongoDB ; Open source software ; Object-oriented databases ; Database management ; Software ; Electronic books ; Electronic books ; local
    Kurzfassung: Leverage the power of MongoDB 4.x to build and administer fault-tolerant database applications Key Features Master the new features and capabilities of MongoDB 4.x Implement advanced data modeling, querying, and administration techniques in MongoDB Includes rich case-studies and best practices followed by expert MongoDB developers Book Description MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers. What you will learn Perform advanced querying techniques such as indexing and expressions Configure, monitor, and maintain a highly scalable MongoDB environment Master replication and data sharding to optimize read/write performance Administer MongoDB-based applications on premises or on the cloud Integrate MongoDB with big data sources to process huge amounts of data Deploy MongoDB on Kubernetes containers Use MongoDB in IoT, mobile, and serverless environments Who this book is for This book is ideal for MongoDB developers and database administrators who wish to become successful MongoDB experts and build scalable and fault-tolerant applications using MongoDB. It will also be useful for database professionals who wish to become certified MongoDB professionals. Some understanding of MongoDB and basic database concepts is required to get the most out of this book.
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 47
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789610604 , 1789610605
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Microsoft .NET Framework ; Microsoft Windows (Computer file) ; Application software ; Development ; Computer software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency. Key Features Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability Design distributed containerized apps, using enterprise-grade open source software from Docker Hub Build a CI/CD pipeline with Docker, going from source to a production Docker Swarm in the cloud Book Description Docker on Windows, Second Edition teaches you all you need to know about Docker on Windows, from the 101 to running highly-available workloads in production. You'll be guided through a Docker journey, starting with the key concepts and simple examples of .NET Framework and .NET Core apps in Docker containers on Windows. Then you'll learn how to use Docker to modernize the architecture and development of traditional ASP.NET and SQL Server apps. The examples show you how to break up legacy monolithic applications into distributed apps and deploy them to a clustered environment in the cloud, using the exact same artifacts you use to run them locally. You'll see how to build a CI/CD pipeline which uses Docker to compile, package, test and deploy your applications. To help you move confidently to production, you'll learn about Docker security, and the management and support options. The book finishes with guidance on getting started with Docker in your own projects. You'll walk through some real-world case studies for Docker implementations, from small-scale on-premises apps to very large-scale apps running on Azure. What you will learn Understand key Docker concepts: images, containers, registries and swarms Run Docker on Windows 10, Windows Server 2019, and in the cloud Deploy and monitor distributed solutions across multiple Docker containers Run containers with high availability and failover with Docker Swarm Master security in-depth with the Docker platform, making your apps more secure Build a Continuous Deployment pipeline, running Jenkins and Git in Docker Debug applications running in Docker containers using Visual Studio Plan the adoption of Docker in your organization Who this book is for If you want to modernize an old monolithic application without rewriting it, smooth the deployment to production, or move to DevOps or the cloud, then Docker is the enabler for you. This book gives you a solid grounding in Docker so you can confidently approach all of these scenarios.
    Anmerkung: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 48
    ISBN: 9781789806342 , 1789806348
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Application software ; Development ; Web applications ; JavaScript (Computer program language) ; Web sites ; Design ; Electronic books ; Electronic books ; local
    Kurzfassung: Integrate Redux with React and other front-end JavaScript frameworks efficiently and manage application states effectively Key Features Get better at building web applications with state management using Redux Learn the fundamentals of Redux to structure your app more efficiently This guide will teach you develop complex apps that would be easier to maintain Book Description Starting with a detailed overview of Redux, we will follow the test-driven development (TDD) approach to develop single-page applications. We will set up JEST for testing and use JEST to test React, Redux, Redux-Sage, Reducers, and other components. We will then add important middleware and set up immutableJS in our application. We will use common data structures such as Map, List, Set, and OrderedList from the immutableJS framework. We will then add user interfaces using ReactJS, Redux-Form, and Ant Design. We will explore the use of react-router-dom and its functions. We will create a list of routes that we will need in order to create our application, and explore routing on the server site and create the required routes for our application. We will then debug our application and integrate Redux Dev tools. We will then set up our API server and create the API required for our application. We will dive into a modern approach to structuring our server site components in terms of Model, Controller, Helper functions, and utilities functions. We will explore the use of NodeJS with Express to build the REST API components. Finally, we will venture into the possibilities of extending the application for further research, including deployment and optimization. What you will learn Follow the test-driven development (TDD) approach to develop a single-page application Add important middleware, such as Redux store middleware, redux-saga middleware, and language middleware, to your application Understand how to use immutableJS in your application Build interactive components using ReactJS Configure react-router-redux and explore the differences between react-router-dom and react-router-redux Use Redux Dev tools to debug your application Set up our API server and create the API required for our application Who this book is for This book is meant for JavaScript developers interesting in learning state management and building easy to maintain web applications.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 49
    ISBN: 9781789530704 , 1789530709
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Tableau (Computer file) ; Information visualization ; Computer programs ; Electronic books ; Electronic books ; local
    Kurzfassung: Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau Server Key Features Master new features in Tableau 2019.1 to solve real-world analytics challenges Perform Geo-Spatial Analytics, Time Series Analysis, and self-service analytics using real-life examples Build and publish dashboards and explore storytelling using Python and MATLAB integration support Book Description Tableau is one of the leading business intelligence (BI) tools used to solve BI and analytics challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. This book is also the second edition of the popular Mastering Tableau series, with new features, examples, and updated code. The book covers essential Tableau concepts and its advanced functionalities. Using Tableau Hyper and Tableau Prep, you'll be able to handle and prepare data easily. You'll gear up to perform complex joins, spatial joins, union, and data blending tasks using practical examples. Following this, you'll learn how to perform data densification to make displaying granular data easier. Next, you'll explore expert-level examples to help you with advanced calculations, mapping, and visual design using various Tableau extensions. With the help of examples, you'll also learn about improving dashboard performance, connecting Tableau Server, and understanding data visualizations. In the final chapters, you'll cover advanced use cases such as Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics, and learn to connect Tableau to R, Python, and MATLAB. By the end of this book, you'll have mastered the advanced offerings of Tableau and be able to tackle common and not-so-common challenges faced in the BI domain. What you will learn Get up to speed with various Tableau components Master data preparation techniques using Tableau Prep Discover how to use Tableau to create a PowerPoint-like presentation Understand different Tableau visualization techniques and dashboard designs Interact with the Tableau server to understand its architecture and functionalities Study advanced visualizations and dashboard creation techniques Brush up on powerful Self-Service Analytics, Time Series Analytics, and Geo-Spatial Analytics Who this book is for This book is designed for business analysts, BI professionals and data analysts who want to master Tableau to solve a rang...
    Anmerkung: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 50
    ISBN: 9781789342109 , 1789342104
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Machine learning ; Neural networks (Computer science) ; Electronic books ; Electronic books ; local
    Kurzfassung: Implement neural network architectures by building them from scratch for multiple real-world applications. Key Features From scratch, build multiple neural network architectures such as CNN, RNN, LSTM in Keras Discover tips and tricks for designing a robust neural network to solve real-world problems Graduate from understanding the working details of neural networks and master the art of fine-tuning them Book Description This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. What you will learn Build multiple advanced neural network architectures from scratch Explore transfer learning to perform object detection and classification Build self-driving car applications using instance and semantic segmentation Understand data encoding for image, text and recommender systems Implement text analysis using sequence-to-sequence learning Leverage a combination of CNN and RNN to perform end-to-end learning Build agents to play games using deep Q-learning Who this book is for This intermediate-level book targets beginners and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks. This book is for those who are looking for resources to help them navigate through the various neural network architectures; you'll build multiple architectures, with concomitant case studies ordered by the complexity of the problem. A basic un...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 51
    ISBN: 9781788991490 , 1788991494
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Rust (Computer program language) ; Computer programming ; Computer algorithms ; Electronic books ; Electronic books ; local
    Kurzfassung: Design and implement professional level programs by exploring modern data structures and algorithms in Rust. Key Features Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples Learn the functional and reactive implementations of the traditional data structures Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Book Description Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. What you will learn Design and implement complex data structures in Rust Analyze, implement, and improve searching and sorting algorithms in Rust Create and use well-tested and reusable components with Rust Understand the basics of multithreaded programming and advanced algorithm design Become familiar with application profiling based on benchmarking and testing Explore the borrowing complexity of implementing algorithms Who this book is for This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 15, 2019)
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  • 52
    ISBN: 9781788993838 , 1788993837
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Microsoft CRM ; Customer relations ; Management ; Management information systems ; Electronic books ; Electronic books ; local
    Kurzfassung: A comprehensive guide packed with the latest features of Dynamics 365 for customer relationship management Key Features Create efficient client-side apps and customized plugins that work seamlessly Learn best practices from field experience to use Dynamics 365 efficiently Unleash the power of Dynamics 365 to maximize your organization's profits Book Description Microsoft Dynamics 365 is an all-in-one business management solution that's easy to use and adapt. It helps you connect your finances, sales, service, and operations to streamline business processes, improve customer interactions, and enable growth. This book gives you all the information you need to become an expert in MS Dynamics 365. This book starts with a brief overview of the functional features of Dynamics 365. You will learn how to create Word and Excel templates using CRM data to enable customized data analysis for your organization. This book helps you understand how to use Dynamics 365 as an XRM Framework, gain a deep understanding of client-side scripting in Dynamics 365, and create client-side applications using JavaScript and the Web API. In addition to this, you will discover how to customize Dynamics 365, and quickly move on to grasp the app structure, which helps you customize Dynamics 365 better. You will also learn how Dynamics 365 can be seamlessly embedded into various productivity tools to customize them for machine learning and contextual guidance. By the end of this book, you will have mastered utilizing Dynamics 365 features through real-world scenarios. What you will learn Manage various divisions of your organization using Dynamics 365 customizations Explore the XRM Framework and leverage its features Provide an enhanced mobile and tablet experience Develop client-side applications using JavaScript and the Web API Understand how to develop plugins and workflows using Dynamics 365 Explore solution framework improvements and new field types Who this book is for Mastering Microsoft Dynamics 365 Customer Engagement is for you if you have knowledge of Dynamics CRM and want to utilize the latest features of Dynamics 365. This book is also for you if you're a skilled developer looking to move to the Microsoft stack to build business solution software. Extensive Dynamics CRM development experience will be beneficial to understand the concepts covered in this book.
    Anmerkung: Previous edition published: 2017. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 53
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781788838740 , 1788838742
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): Tableau (Computer file) ; Information visualization ; Business intelligence ; Computer programs ; Electronic books ; Electronic books ; local
    Kurzfassung: Create powerful data visualizations and unlock intelligent business insights with Tableau Key Features Explore all the latest Tableau 2019 features and redefine business analytics for your organization Create impressive data visualizations and interactive dashboards to get insights from your data Learn effective data storytelling to transform how your business leverages data and makes decisions Book Description Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making. What you will learn Develop stunning visualizations that explain complexity with clarity Explore the exciting new features of Tableau Desktop and Tableau Prep Connect to various data sources to bring all your data together Uncover techniques to prep and structure your data for easy analysis Create and use calculations to solve problems and enrich analytics Master advanced topics such as sets, LOD calcs, and much more Enable smart decisions with clustering, distribution, and forecasting Share your data stories to build a culture of trust and action Who this book is for This Tableau book is for anyone who wants to understand data. If you're new to Tableau, don't worry. This book builds on the foundations to help you understand how Tableau really works and then builds on that knowledge with practical examples before moving on to advanced techniques. Working experience...
    Anmerkung: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 1, 2019)
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  • 54
    ISBN: 9781789613568 , 1789613566
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): Machine learning ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applications Key Features Build independent machine learning (ML) systems leveraging the best features of R 3.5 Understand and apply different machine learning techniques using real-world examples Use methods such as multi-class classification, regression, and clustering Book Description Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models. This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You'll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you'll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You'll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you'll get a glimpse into how some of these blackbox models can be diagnosed and understood. By the end of this book, you'll be equipped with the skills to deploy ML techniques in your own projects or at work. What you will learn Prepare data for machine learning methods with ease Understand how to write production-ready code and package it for use Produce simple and effective data visualizations for improved insights Master advanced methods, such as Boosted Trees and deep neural networks Use natural language processing to extract insights in relation to text Implement tree-based classifiers, including Random Forest and Boosted Tree Who this book is for This book is for data science professionals, machine learning engineers, or anyone who is looking for the ideal guide to help them implement...
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 55
    ISBN: 9781789345834 , 1789345839
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Microsoft .NET Framework ; C# (Computer program language) ; Application software ; Development ; Computer network architectures ; Electronic books ; Electronic books ; local
    Kurzfassung: A comprehensive guide to understanding network architecture, communication protocols, and network analysis to build secure applications compatible with the latest versions of C# 8 and .NET Core 3.0 Key Features Explore various network architectures that make distributed programming possible Learn how to make reliable software by writing secure interactions between clients and servers Use .NET Core for network device automation, DevOps, and software-defined networking Book Description The C# language and the .NET Core application framework provide the tools and patterns required to make the discipline of network programming as intuitive and enjoyable as any other aspect of C# programming. With the help of this book, you will discover how the C# language and the .NET Core framework make this possible. The book begins by introducing the core concepts of network programming, and what distinguishes this field of programming from other disciplines. After this, you will gain insights into concepts such as transport protocols, sockets and ports, and remote data streams, which will provide you with a holistic understanding of how network software fits into larger distributed systems. The book will also explore the intricacies of how network software is implemented in a more explicit context, by covering sockets, connection strategies such as Transmission Control Protocol (TCP) and User Datagram Protocol (UDP), asynchronous processing, and threads. You will then be able to work through code examples for TCP servers, web APIs served over HTTP, and a Secure Shell (SSH) client. By the end of this book, you will have a good understanding of the Open Systems Interconnection (OSI) network stack, the various communication protocols for that stack, and the skills that are essential to implement those protocols using the C# programming language and the .NET Core framework. What you will learn Understand the breadth of C#'s network programming utility classes Utilize network-layer architecture and organizational strategies Implement various communication and transport protocols within C# Discover hands-on examples of distributed application development Gain hands-on experience with asynchronous socket programming and streams Learn how C# and the .NET Core runtime interact with a hosting network Understand a full suite of network programming tools and features Who this book is for If you're a .NET developer or a system administrator with .NET experience and are lo...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 56
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789138191 , 1789138191
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Blockchains (Databases) ; Application software ; Development ; Cryptocurrencies ; Bitcoin ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn the foundations of blockchain technology - its core concepts and algorithmic solutions across cryptography, peer-to-peer technology, and game theory. Key Features Learn the core concepts and foundations of the blockchain and cryptocurrencies Understand the protocols and algorithms behind decentralized applications Master how to architect, build, and optimize blockchain applications Book Description Blockchain technology is a combination of three popular concepts: cryptography, peer-to-peer networking, and game theory. This book is for anyone who wants to dive into blockchain from first principles and learn how decentralized applications and cryptocurrencies really work. This book begins with an overview of blockchain technology, including key definitions, its purposes and characteristics, so you can assess the full potential of blockchain. All essential aspects of cryptography are then presented, as the backbone of blockchain. For readers who want to study the underlying algorithms of blockchain, you'll see Python implementations throughout. You'll then learn how blockchain architecture can create decentralized applications. You'll see how blockchain achieves decentralization through peer-to-peer networking, and how a simple blockchain can be built in a P2P network. You'll learn how these elements can implement a cryptocurrency such as Bitcoin, and the wider applications of blockchain work through smart contracts. Blockchain optimization techniques, and blockchain security strategies are then presented. To complete this foundation, we consider blockchain applications in the financial and non-financial sectors, and also analyze the future of blockchain. A study of blockchain use cases includes supply chains, payment systems, crowdfunding, and DAOs, which rounds out your foundation in blockchain technology. What you will learn The core concepts and technical foundations of blockchain The algorithmic principles and solutions that make up blockchain and cryptocurrencies Blockchain cryptography explained in detail How to realize blockchain projects with hands-on Python code How to architect the blockchain and blockchain applications Decentralized application development with MultiChain, NEO, and Ethereum Optimizing and enhancing blockchain performance and security Classical blockchain use cases and how to implement them Who this book is for This book is for anyone who wants to dive into blockchain technology from first principles and build a ...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 14, 2019)
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  • 57
    ISBN: 9781789131161 , 1789131162
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Go (Computer program language) ; Graphical user interfaces (Computer systems) ; Cross-platform software development ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover Golang's GUI libraries such as Go-GTK (GIMP Toolkit) and Go-Qt and build beautiful, performant, and responsive graphical applications Key Features Conceptualize and build state-of-art GUI applications with Golang (Go) Tackle the complexity of varying GUI application sizes with a structured and scalable approach Get hands-on experience of GUI development with Shiny, and labs/ui, Fyne, and Walk Book Description Go is often compared to C++ when it comes to low-level programming and implementations that require faster processing, such as Graphical User Interfaces (GUIs). In fact, many claim that Go is superior to C++ in terms of its concurrency and ease of use. Most graphical application toolkits, though, are still written using C or C++, and so they don't enjoy the benefits of using a modern programming language such as Go. This guide to programming GUIs with Go 1.11 explores the various toolkits available, including UI, Walk, Shiny, and Fyne. The book compares the vision behind each project to help you pick the right approach for your project. Each framework is described in detail, outlining how you can build performant applications that users will love. To aid you further in creating applications using these emerging technologies, you'll be able to easily refer to code samples and screenshots featured in the book. In addition to toolkit-specific discussions, you'll cover more complex topics, such as how to structure growing graphical applications, and how cross-platform applications can integrate with each desktop operating system to create a seamless user experience. By delving into techniques and best practices for organizing and scaling Go-based graphical applications, you'll also glimpse Go's impressive concurrency system. In the concluding chapters, you'll discover how to distribute to the main desktop marketplaces and distribution channels. By the end of this book, you'll be a confident GUI developer who can use the Go language to boost the performance of your applications. What you will learn Understand the benefits and complexities of building native graphical applications Gain insights into how Go makes cross-platform graphical application development simple Build platform-native GUI applications using andlabs/ui Develop graphical Windows applications using Walk Create multiplatform GUI applications using Shiny, Nuklear, and Fyne Use Go wrappers for GTK and Qt for GUI application development Streamline your requirements to pic...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 24, 2019)
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  • 58
    ISBN: 9781789132502 , 1789132509
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular machine learning algorithms using a recipe-based approach Implement boosting, bagging, and stacking ensemble methods to improve machine learning models Discover real-world ensemble applications and encounter complex challenges in Kaggle competitions Book Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you'll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You'll also be able to implement models such as fraud detection, text categorization, and sentiment analysis. By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes. What you will learn Understand how to use machine learning algorithms for regression and classification problems Implement ensemble techniques such as averaging, weighted averaging, and max-voting Get to grips with advanced ensemble methods, such as bootstrapping, bagging, and stacking Use Random Forest for tasks such as classification and regression Implement an ensemble of homogeneous and heterogeneous machine learning algorithms Learn and implement various boosting techniques, such as AdaBoost, Gradient Boosting Machine, and XGBoost Who this book is for This book is designed fo...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 59
    ISBN: 9781788994873 , 1788994876
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Ausgabe: Third edition.
    Schlagwort(e): Geographic information systems ; Computer programs ; Geodatabases ; Computer programs ; Cartography ; Computer programs ; Geospatial data ; Data processing ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Go beyond the basics and unleash the full power of QGIS 3.4 and 3.6 with practical, step-by-step examples Key Features One-stop solution to all of your GIS needs Master QGIS by learning about database integration, and geoprocessing tools Learn about the new and updated Processing toolbox and perform spatial analysis Book Description QGIS is an open source solution to GIS and widely used by GIS professionals all over the world. It is the leading alternative to proprietary GIS software. Although QGIS is described as intuitive, it is also, by default, complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics and getting you acquainted with the latest QGIS 3.6 updates, this book will take you all the way through to teaching you how to create a spatial database and a GeoPackage. Next, you will learn how to style raster and vector data by choosing and managing different colors. The book will then focus on processing raster and vector data. You will be then taught advanced applications, such as creating and editing vector data. Along with that, you will also learn about the newly updated Processing Toolbox, which will help you develop the advanced data visualizations. The book will then explain to you the graphic modeler, how to create QGIS plugins with PyQGIS, and how to integrate Python analysis scripts with QGIS. By the end of the book, you will understand how to work with all aspects of QGIS and will be ready to use it for any type of GIS work. What you will learn Create and manage a spatial database Get to know advanced techniques to style GIS data Prepare both vector and raster data for processing Add heat maps, live layer effects, and labels to your maps Master LAStools and GRASS integration with the Processing Toolbox Edit and repair topological data errors Automate workflows with batch processing and the QGIS Graphical Modeler Integrate Python scripting into your data processing workflows Develop your own QGIS plugins Who this book is for If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.
    Anmerkung: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 1, 2019)
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  • 60
    ISBN: 9781788996686 , 1788996682
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Kali Linux ; Penetration testing (Computer security) ; Application software ; Testing ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Kurzfassung: Convert Android to a powerful pentesting platform. Key Features Get up and running with Kali Linux NetHunter Connect your Android device and gain full control over Windows, OSX, or Linux devices Crack Wi-Fi passwords and gain access to devices connected over the same network collecting intellectual data Book Description Kali NetHunter is a version of the popular and powerful Kali Linux pentesting platform, designed to be installed on mobile devices. Hands-On Penetration Testing with Kali NetHunter will teach you the components of NetHunter and how to install the software. You'll also learn about the different tools included and how to optimize and use a package, obtain desired results, perform tests, and make your environment more secure. Starting with an introduction to Kali NetHunter, you will delve into different phases of the pentesting process. This book will show you how to build your penetration testing environment and set up your lab. You will gain insight into gathering intellectual data, exploiting vulnerable areas, and gaining control over target systems. As you progress through the book, you will explore the NetHunter tools available for exploiting wired and wireless devices. You will work through new ways to deploy existing tools designed to reduce the chances of detection. In the concluding chapters, you will discover tips and best practices for integrating security hardening into your Android ecosystem. By the end of this book, you will have learned to successfully use a mobile penetration testing device based on Kali NetHunter and Android to accomplish the same tasks you would traditionally, but in a smaller and more mobile form factor. What you will learn Choose and configure a hardware device to use Kali NetHunter Use various tools during pentests Understand NetHunter suite components Discover tips to effectively use a compact mobile platform Create your own Kali NetHunter-enabled device and configure it for optimal results Learn to scan and gather information from a target Explore hardware adapters for testing and auditing wireless networks and Bluetooth devices Who this book is for Hands-On Penetration Testing with Kali NetHunter is for pentesters, ethical hackers, and security professionals who want to learn to use Kali NetHunter for complete mobile penetration testing and are interested in venturing into the mobile domain. Some prior understanding of networking assessment and Kali Linux will be helpful.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 61
    ISBN: 9781788996464 , 1788996461
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Microsoft Windows (Computer file) ; Examination ; Study guides ; Electronic data processing personnel ; Certification ; Electronic books ; Electronic books ; local
    Kurzfassung: Get ready for the Windows 10: 70-698 exam and configure Windows to manage data recovery Key Features Implement Windows 10 operational and administrative tasks Configure devices, remote management settings, advanced management tools, and device drivers Comprehensive guide to help you work efficiently in Windows 10 Book Description The Installing and Configuring Windows 10: 70-698 Exam Guide is designed to confirm what you already know, while also updating your knowledge of Windows 10. With its easy-to-follow guidance, you will quickly learn the user interface and discover steps to work efficiently in Windows 10 to rule out delays and obstacles. This book begins by covering various ways of installing Windows 10, followed by instructions on post-installation tasks. You will learn about the deployment of Windows 10 in Enterprise and also see how to configure networking in Windows 10. You'll understand how to leverage Disk Management and Windows PowerShell to configure disks, volumes, and file system options. As you progress through the chapters, you will be able to set up remote management in Windows 10 and learn more about Windows update usage, behavior, and settings. You will also gain insights that will help you monitor and manage data recovery and explore how to configure authentication, authorization, and advanced management tools in Windows 10. By the end of this book, you will be equipped with enough knowledge to take the 70-698 exam and explore different study methods to improve your chances of passing the exam with ease. What you will learn Discover various ways of installing Windows 10 Understand how to configure devices and device drivers Configure and support IPv4 and IPv6 network settings Troubleshoot storage and removable device issues Get to grips with data access and usage Explore the advanced management tools available in Windows 10 Who this book is for This book is for IT professionals who perform installation, configuration, general local management and maintenance of Windows 10 core services and are preparing to clear the Windows 10: 70-698 exam
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 20, 2019)
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  • 62
    ISBN: 9781788831734 , 178883173X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Computer networks ; Security measures ; Management ; Cyber intelligence (Computer security) ; Financial institutions ; Effect of technological innovations on ; Internet ; Security measures ; Electronic books ; Electronic books ; local
    Kurzfassung: A comprehensive guide that will give you hands-on experience to study and overcome financial cyber threats Key Features Protect your financial environment with cybersecurity practices and methodologies Identify vulnerabilities such as data manipulation and fraudulent transactions Provide end-to-end protection within organizations Book Description Organizations have always been a target of cybercrime. Hands-On Cybersecurity for Finance teaches you how to successfully defend your system against common cyber threats, making sure your financial services are a step ahead in terms of security. The book begins by providing an overall description of cybersecurity, guiding you through some of the most important services and technologies currently at risk from cyber threats. Once you have familiarized yourself with the topic, you will explore specific technologies and threats based on case studies and real-life scenarios. As you progress through the chapters, you will discover vulnerabilities and bugs (including the human risk factor), gaining an expert-level view of the most recent threats. You'll then explore information on how you can achieve data and infrastructure protection. In the concluding chapters, you will cover recent and significant updates to procedures and configurations, accompanied by important details related to cybersecurity research and development in IT-based financial services. By the end of the book, you will have gained a basic understanding of the future of information security and will be able to protect financial services and their related infrastructures. What you will learn Understand the cyber threats faced by organizations Discover how to identify attackers Perform vulnerability assessment, software testing, and pentesting Defend your financial cyberspace using mitigation techniques and remediation plans Implement encryption and decryption Understand how Artificial Intelligence (AI) affects cybersecurity Who this book is for Hands-On Cybersecurity for Finance is for you if you are a security architect, cyber risk manager, or pentester looking to secure your organization. Basic understanding of cybersecurity tools and practices will help you get the most out of this book.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed April 17, 2019)
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  • 63
    ISBN: 9781788830232 , 1788830237
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Computer networks ; Management ; Client/server computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Power up your network applications with Python programming Key Features Master Python skills to develop powerful network applications Grasp the fundamentals and functionalities of SDN Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You'll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you'll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: Practical Network Automation by Abhishek Ratan Mastering Python Networking by Eric Chou Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn Create socket-based networks with asynchronous models Develop client apps for web APIs, including S3 Amazon and Twitter Talk to email and remote network servers with different protocols Integrate Python with Cisco, Juniper, and Arista eAPI for automation Use Telnet and SSH connections for remote system monitoring Interact with websites via XML-RPC, SOAP, and REST APIs Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 64
    ISBN: 9781789959000 , 1789959004
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): Information technology ; Automation ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Design, develop, and solve real-world automation and orchestration problems by unlocking the automation capabilities of Ansible. Key Features Tackle complex automation challenges with the newly added features in Ansible 2.7 Book Description Automation is essential for success in the modern world of DevOps. Ansible provides a simple, yet powerful, automation engine for tackling complex automation challenges. This book will take you on a journey that will help you exploit the latest version's advanced features to help you increase efficiency and accomplish complex orchestrations. This book will help you understand how Ansible 2.7 works at a fundamental level and will also teach you to leverage its advanced capabilities. Throughout this book, you will learn how to encrypt Ansible content at rest and decrypt data at runtime. Next, this book will act as an ideal resource to help you master the advanced features and capabilities required to tackle complex automation challenges. Later, it will walk you through workflows, use cases, orchestrations, troubleshooting, and Ansible extensions. Lastly, you will examine and debug Ansible operations, helping you to understand and resolve issues. By the end of the book, you will be able to unlock the true power of the Ansible automation engine and tackle complex, real- world actions with ease. What you will learn Gain an in-depth understanding of how Ansible works under the hood Fully automate Ansible playbook executions with encrypted data Access and manipulate variable data within playbooks Use blocks to perform failure recovery or cleanup Explore the Playbook debugger and the Ansible Console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Develop custom modules, plugins, and dynamic inventory sources Who this book is for This book is for Ansible developers and operators who have an understanding of its core elements and applications but are now looking to enhance their skills in applying automation using Ansible.
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 65
    ISBN: 9781789800753 , 1789800757
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Book Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful machine learning applications using modern libraries from the Python ecosystem. The book will also guide you on how to implement various machine learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions, dedicated sections in the book will help you to apply supervised and unsupervised learning techniques to real-world problems. Toward the concluding chapters, you will get to grips with recipes that teach you advanced techniques including reinforcement learning, deep neural networks, and automated machine learning. By the end of this book, you will be equipped with the skills you need to apply machine learning techniques and leverage the full capabilities of the Python ecosystem through real-world examples. What you will learn Use predictive modeling and apply it to real-world problems Explore data visualization techniques to interact with your data Learn how to build a recommendation engine Understand how to interact with text data and build models to analyze it Work with speech data and recognize spoken words using Hidden Markov Models Get well versed with reinforcement learning, automated ML, and transfer learning Work with image data and build systems for image recognition and biometric face recognition Use deep neural networks to build an optical character recognition system Who this book is for This book is for data scientists, machine learning developers, deep learning enthusiasts and Python programmers who want to solve real-world challenges using machine-learning techniques and algorithms. If you are facing challenges at work and want ready-to-use code solutions to cover key tasks in machine learning and the deep learning domain, then this book is w...
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 66
    ISBN: 9781789342765 , 1789342767
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Computer networks ; Security measures ; Python (Computer program language) ; Computer crimes ; Investigation ; Data recovery (Computer science) ; Electronic books ; Electronic books ; local
    Kurzfassung: Design, develop, and deploy innovative forensic solutions using Python Key Features Discover how to develop Python scripts for effective digital forensic analysis Master the skills of parsing complex data structures with Python libraries Solve forensic challenges through the development of practical Python scripts Book Description Digital forensics plays an integral role in solving complex cybercrimes and helping organizations make sense of cybersecurity incidents. This second edition of Learning Python for Forensics illustrates how Python can be used to support these digital investigations and permits the examiner to automate the parsing of forensic artifacts to spend more time examining actionable data. The second edition of Learning Python for Forensics will illustrate how to develop Python scripts using an iterative design. Further, it demonstrates how to leverage the various built-in and community-sourced forensics scripts and libraries available for Python today. This book will help strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. By the end of this book, you will build a collection of Python scripts capable of investigating an array of forensic artifacts and master the skills of extracting metadata and parsing complex data structures into actionable reports. Most importantly, you will have developed a foundation upon which to build as you continue to learn Python and enhance your efficacy as an investigator. What you will learn Learn how to develop Python scripts to solve complex forensic problems Build scripts using an iterative design Design code to accommodate present and future hurdles Leverage built-in and community-sourced libraries Understand the best practices in forensic programming Learn how to transform raw data into customized reports and visualizations Create forensic frameworks to automate analysis of multiple forensic artifacts Conduct effective and efficient investigations through programmatic processing Who this book is for If you are a forensics student, hobbyist, or professional seeking to increase your understanding in forensics through the use of a programming language, then Learning Python for Forensics is for you. You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding for ex...
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 67
    ISBN: 9781788834322 , 1788834321
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): C++ (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: Build safety-critical and memory-safe stand-alone and networked embedded systems Key Features Know how C++ works and compares to other languages used for embedded development Create advanced GUIs for embedded devices to design an attractive and functional UI Integrate proven strategies into your design for optimum hardware performance Book Description C++ is a great choice for embedded development, most notably, because it does not add any bloat, extends maintainability, and offers many advantages over different programming languages. Hands-On Embedded Programming with C++17 will show you how C++ can be used to build robust and concurrent systems that leverage the available hardware resources. Starting with a primer on embedded programming and the latest features of C++17, the book takes you through various facets of good programming. You'll learn how to use the concurrency, memory management, and functional programming features of C++ to build embedded systems. You will understand how to integrate your systems with external peripherals and efficient ways of working with drivers. This book will also guide you in testing and optimizing code for better performance and implementing useful design patterns. As an additional benefit, you will see how to work with Qt, the popular GUI library used for building embedded systems. By the end of the book, you will have gained the confidence to use C++ for embedded programming. What you will learn Choose the correct type of embedded platform to use for a project Develop drivers for OS-based embedded systems Use concurrency and memory management with various microcontroller units (MCUs) Debug and test cross-platform code with Linux Implement an infotainment system using a Linux-based single board computer Extend an existing embedded system with a Qt-based GUI Communicate with the FPGA side of a hybrid FPGA/SoC system Who this book is for If you want to start developing effective embedded programs in C++, then this book is for you. Good knowledge of C++ language constructs is required to understand the topics covered in the book. No knowledge of embedded systems is assumed.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 68
    ISBN: 9781838550318 , 1838550313
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Learning path
    Schlagwort(e): C# (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Conquer complex and interesting programming challenges by building robust and concurrent applications with caches, cryptography, and parallel programming. Key Features Understand how to use .NET frameworks like the Task Parallel Library (TPL)and CryptoAPI Develop a containerized application based on microservices architecture Gain insights into memory management techniques in .NET Core Book Description This Learning Path shows you how to create high performing applications and solve programming challenges using a wide range of C# features. You'll begin by learning how to identify the bottlenecks in writing programs, highlight common performance pitfalls, and apply strategies to detect and resolve these issues early. You'll also study the importance of micro-services architecture for building fast applications and implementing resiliency and security in .NET Core. Then, you'll study the importance of defining and testing boundaries, abstracting away third-party code, and working with different types of test double, such as spies, mocks, and fakes. In addition to describing programming trade-offs, this Learning Path will also help you build a useful toolkit of techniques, including value caching, statistical analysis, and geometric algorithms. This Learning Path includes content from the following Packt products: C# 7 and .NET Core 2.0 High Performance by Ovais Mehboob Ahmed Khan Practical Test-Driven Development using C# 7 by John Callaway, Clayton Hunt The Modern C# Challenge by Rod Stephens What you will learn Measure application performance using BenchmarkDotNet Leverage the Task Parallel Library (TPL) and Parallel Language Integrated Query (PLINQ)library to perform asynchronous operations Modify a legacy application to make it testable Use LINQ and PLINQ to search directories for files matching patterns Find areas of polygons using geometric operations Randomize arrays and lists with extension methods Use cryptographic techniques to encrypt and decrypt strings and files Who this book is for If you want to improve the speed of your code and optimize the performance of your applications, or are simply looking for a practical resource on test driven development, this is the ideal Learning Path for you. Some familiarity with C# and .NET will be beneficial.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 8, 2019)
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  • 69
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789951462 , 1789951461
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): R (Computer program language) ; Machine learning ; Data mining ; Electronic books ; Electronic books ; local
    Kurzfassung: Design clever algorithms that discover hidden patterns and draw responses from unstructured, unlabeled data. Key Features Build state-of-the-art algorithms that can solve your business' problems Learn how to find hidden patterns in your data Revise key concepts with hands-on exercises using real-world datasets Book Description Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and features of R that enable you to understand your data better and get answers to your most pressing business questions. This book begins with the most important and commonly used method for unsupervised learning - clustering - and explains the three main clustering algorithms - k-means, divisive, and agglomerative. Following this, you'll study market basket analysis, kernel density estimation, principal component analysis, and anomaly detection. You'll be introduced to these methods using code written in R, with further instructions on how to work with, edit, and improve R code. To help you gain a practical understanding, the book also features useful tips on applying these methods to real business problems, including market segmentation and fraud detection. By working through interesting activities, you'll explore data encoders and latent variable models. By the end of this book, you will have a better understanding of different anomaly detection methods, such as outlier detection, Mahalanobis distances, and contextual and collective anomaly detection. What you will learn Implement clustering methods such as k-means, agglomerative, and divisive Write code in R to analyze market segmentation and consumer behavior Estimate distribution and probabilities of different outcomes Implement dimension reduction using principal component analysis Apply anomaly detection methods to identify fraud Design algorithms with R and learn how to edit or improve code Who this book is for Applied Unsupervised Learning with R is designed for business professionals who want to learn about methods to understand their data better, and developers who have an interest in unsupervised learning. Although the book is for beginners, it will be beneficial to have some basic, beginner-level familiarity with R. This includes an understanding of how to open the R console, how to read data, and how to create a loop. To easily understand the concepts of this book, you should also know basic mathematical concepts, including ex...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from copyright page (Safari, viewed May 15, 2019)
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  • 70
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789955668 , 1789955661
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): JavaScript (Computer program language) ; Application software ; Development ; Web applications ; Electronic books ; Electronic books ; local
    Kurzfassung: Integrate your React applications with React to build efficient web services. Key Features Learn React by building applications with Create React App Create interactive UIs exploring the latest feature of CRA 2.0 Build Progressive Web Applications for a more seamless web Book Description If you're a power user and you aren't happy always reusing default configurations, from previous applications with each new application, then all you need is Create React App (CRA), a tool in the React ecosystem designed to help you create boilerplate code for building a web frontend. This book will help you use CRA to write React programs without significant configuration-related difficulties. With this quick start guide, you will integrate your applications with React to build efficient professional web services.You will learn to design UIs with the features of CRA and template your React applications. By the end of the book, you will be sufficiently skilled to be able to build faster and effective React apps using CRA. What you will learn Become familiar with React by building applications with Create React App Make your frontend development hassle free Create interactive UIs exploring the latest features of CRA 2 Build modern, React projects with, SASS,and progressive web applications Develop proxy backend servers and simulate interaction with a full backend Keep your application fully tested and maintain confidence in your project Who this book is for The book is intended for the web developers who want to jump into building great frontend with React using easy templating solutions.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 10, 2019)
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  • 71
    ISBN: 9781789342666 , 178934266X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Spark (Electronic resource : Apache Software Foundation) ; Electronic data processing ; Distributed processing ; Management ; Big data ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark. Key Features Learn about the core concepts and the latest developments in Apache Spark Master writing efficient big data applications with Spark's built-in modules for SQL, Streaming, Machine Learning and Graph analysis Get introduced to a variety of optimizations based on the actual experience Book Description Apache Spark is a flexible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases. It will also introduce you to Apache Spark ? one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark's built-in modules for SQL, streaming, machine learning, and graph analysis. Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications. What you will learn Learn core concepts such as RDDs, DataFrames, transformations, and more Set up a Spark development environment Choose the right APIs for your applications Understand Spark's architecture and the execution flow of a Spark application Explore built-in modules for SQL, streaming, ML, and graph analysis Optimize your Spark job for better performance Who this book is for If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their mach...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 72
    ISBN: 9781789349702 , 1789349702
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Python (Computer program language) ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects. This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota. By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications. What you will learn Grasp the mathematical theory behind neural networks and deep learning processes Investigate and resolve computer vision challenges using convolutional networks and capsule networks Solve generative tasks using variational autoencoders and Generative Adversarial Networks Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models Explore reinforcement learning and understand how agents behave in a complex environment Get up to date with applications of deep learning in autonomous vehicles Who this book is for This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understandi...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed February 15, 2019)
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  • 73
    ISBN: 9781789348828 , 178934882X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Marketing ; Data processing ; Machine learning ; Marketing research ; Python (Computer program language) ; R (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Optimize your marketing strategies through analytics and machine learning Key Features Understand how data science drives successful marketing campaigns Use machine learning for better customer engagement, retention, and product recommendations Extract insights from your data to optimize marketing strategies and increase profitability Book Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learn Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments Who this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-adv...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 1, 2019)
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  • 74
    ISBN: 9781789347043 , 1789347041
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Mobile apps ; Application software ; Development ; Artificial intelligence ; Machine learning ; Mobile computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn to build end-to-end AI apps from scratch for Android and iOS using TensorFlow Lite, CoreML, and PyTorch Key Features Build practical, real-world AI projects on Android and iOS Implement tasks such as recognizing handwritten digits, sentiment analysis, and more Explore the core functions of machine learning, deep learning, and mobile vision Book Description We're witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision. This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms. By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users. What you will learn Explore the concepts and fundamentals of AI, deep learning, and neural networks Implement use cases for machine vision and natural language processing Build an ML model to predict car damage using TensorFlow Deploy TensorFlow on mobile to convert speech to text Implement GAN to recognize hand-written digits Develop end-to-end mobile applications that use AI principles Work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch Who this book is for Mobile Artificial Intelligence Projects is for machine learning professionals, deep learning engineers, AI engineers, and software engineers who want to integrate AI technology into mobile-based platforms and applications. Sound knowledge of machine learning and experience with any programming language is all you need to get started with this book.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 75
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789340044 , 1789340047
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations, maps
    Schlagwort(e): Geographic information systems ; Computer programs ; Geodatabases ; Computer programs ; Cartography ; Computer programs ; Geospatial data ; Data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Step through loading GIS data, creating GIS data, styling GIS and making maps with QGIS following a simple narrative that will allow you to build confidence as you progress. Key Features Work with GIS data, a step by step guide from creation to making a map Perform geoprocessing tasks and automate them using model builder Explore a range of features in QGIS 3.4, discover the power behind open source desktop GIS Book Description QGIS is a user friendly, open source geographic information system (GIS). The popularity of open source GIS and QGIS, in particular, has been growing rapidly over the last few years. This book is designed to help beginners learn about all the tools required to use QGIS 3.4. This book will provide you with clear, step-by-step instructions to help you apply your GIS knowledge to QGIS. You begin with an overview of QGIS 3.4 and its installation. You will learn how to load existing spatial data and create vector data from scratch. You will then be creating styles and labels for maps. The final two chapters demonstrate the Processing toolbox and include a brief investigation on how to extend QGIS. Throughout this book, we will be using the GeoPackage format, and we will also discuss how QGIS can support many different types of data. Finally, you will learn where to get help and how to become engaged with the GIS community. What you will learn Use existing data to interact with the canvas via zoom/pan/selection Create vector data and a GeoPackage and build a simple project around it Style data, both vector and raster data, using the Layer Styling Panel Design, label, save, and export maps using the data you have created Analyze spatial queries using the Processing toolbox Expand QGIS with the help of plugins, model builder, and the command line Who this book is for If you know the basic functions and processes of GIS, and want to learn to use QGIS to analyze geospatial data and create rich mapping applications, then this is the book for you.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 76
    ISBN: 9781789340617 , 1789340616
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): Kali Linux ; Penetration testing (Computer security) ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Kurzfassung: A practical guide to testing your infrastructure security with Kali Linux, the preferred choice of pentesters and hackers Key Features Employ advanced pentesting techniques with Kali Linux to build highly secured systems Discover various stealth techniques to remain undetected and defeat modern infrastructures Explore red teaming techniques to exploit secured environment Book Description This book takes you, as a tester or security practitioner, through the reconnaissance, vulnerability assessment, exploitation, privilege escalation, and post-exploitation activities used by pentesters. To start with, you'll use a laboratory environment to validate tools and techniques, along with an application that supports a collaborative approach for pentesting. You'll then progress to passive reconnaissance with open source intelligence and active reconnaissance of the external and internal infrastructure. You'll also focus on how to select, use, customize, and interpret the results from different vulnerability scanners, followed by examining specific routes to the target, which include bypassing physical security and the exfiltration of data using a variety of techniques. You'll discover concepts such as social engineering, attacking wireless networks, web services, and embedded devices. Once you are confident with these topics, you'll learn the practical aspects of attacking user client systems by backdooring with fileless techniques, followed by focusing on the most vulnerable part of the network ? directly attacking the end user. By the end of this book, you'll have explored approaches for carrying out advanced pentesting in tightly secured environments, understood pentesting and hacking techniques employed on embedded peripheral devices. What you will learn Configure the most effective Kali Linux tools to test infrastructure security Employ stealth to avoid detection in the infrastructure being tested Recognize when stealth attacks are being used against your infrastructure Exploit networks and data systems using wired and wireless networks as well as web services Identify and download valuable data from target systems Maintain access to compromised systems Use social engineering to compromise the weakest part of the network - the end users Who this book is for This third edition of Mastering Kali Linux for Advanced Penetration Testing is for you if you are a security analyst, pentester, ethical hacker, IT professional, or security consultant wanting ...
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 77
    ISBN: 9781789133318 , 1789133319
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; local ; Electronic books
    Kurzfassung: Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in Python Key Features Discover neural network architectures (like CNN and LSTM) that are driving recent advancements in AI Build expert neural networks in Python using popular libraries such as Keras Includes projects such as object detection, face identification, sentiment analysis, and more Book Description Neural networks are at the core of recent AI advances, providing some of the best resolutions to many real-world problems, including image recognition, medical diagnosis, text analysis, and more. This book goes through some basic neural network and deep learning concepts, as well as some popular libraries in Python for implementing them. It contains practical demonstrations of neural networks in domains such as fare prediction, image classification, sentiment analysis, and more. In each case, the book provides a problem statement, the specific neural network architecture required to tackle that problem, the reasoning behind the algorithm used, and the associated Python code to implement the solution from scratch. In the process, you will gain hands-on experience with using popular Python libraries such as Keras to build and train your own neural networks from scratch. By the end of this book, you will have mastered the different neural network architectures and created cutting-edge AI projects in Python that will immediately strengthen your machine learning portfolio. What you will learn Learn various neural network architectures and its advancements in AI Master deep learning in Python by building and training neural network Master neural networks for regression and classification Discover convolutional neural networks for image recognition Learn sentiment analysis on textual data using Long Short-Term Memory Build and train a highly accurate facial recognition security system Who this book is for This book is a perfect match for data scientists, machine learning engineers, and deep learning enthusiasts who wish to create practical neural network projects in Python. Readers should already have some basic knowledge of machine learning and neural networks.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed April 18, 2019)
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  • 78
    ISBN: 9781789134193 , 1789134196
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Kurzfassung: Explore various Generative Adversarial Network architectures using the Python ecosystem Key Features Use different datasets to build advanced projects in the Generative Adversarial Network domain Implement projects ranging from generating 3D shapes to a face aging application Explore the power of GANs to contribute in open source research and projects Book Description Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain. Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries that you will use to build efficient projects. You will also use a variety of datasets for the different projects covered in the book. The level of complexity of the operations required increases with every chapter, helping you get to grips with using GANs. You will cover popular approaches such as 3D-GAN, DCGAN, StackGAN, and CycleGAN, and you'll gain an understanding of the architecture and functioning of generative models through their practical implementation. By the end of this book, you will be ready to build, train, and optimize your own end-to-end GAN models at work or in your own projects. What you will learn Train a network on the 3D ShapeNet dataset to generate realistic shapes Generate anime characters using the Keras implementation of DCGAN Implement an SRGAN network to generate high-resolution images Train Age-cGAN on Wiki-Cropped images to improve face verification Use Conditional GANs for image-to-image translation Understand the generator and discriminator implementations of StackGAN in Keras Who this book is for If you're a data scientist, machine learning developer, deep learning practitioner, or AI enthusiast looking for a project guide to test your knowledge and expertise in building real-world GANs models, this book is for you.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 79
    ISBN: 9781789135763 , 1789135761
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Application program interfaces (Computer software) ; Application software ; Development ; Web applications ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Unearth the power of GraphQL, React, Apollo, Node, and Express to build a scalable, production ready application Key Features Build full stack applications with modern APIs using GraphQL and Apollo Integrate Apollo into React and build frontend components using GraphQL Implement a self-updating notification pop-up with a unique GraphQL feature called Subscriptions Book Description React, one of the most widely used JavaScript frameworks, allows developers to build fast and scalable front end applications for any use case. GraphQL is the modern way of querying an API. It represents an alternative to REST and is the next evolution in web development. Combining these two revolutionary technologies will give you a future-proof and scalable stack you can start building your business around. This book will guide you in implementing applications by using React, Apollo, Node.js and SQL. We'll focus on solving complex problems with GraphQL, such as abstracting multi-table database architectures and handling image uploads. Our client, and server will be powered by Apollo. Finally we will go ahead and build a complete Graphbook. While building the app, we'll cover the tricky parts of connecting React to the back end, and maintaining and synchronizing state. We'll learn all about querying data and authenticating users. We'll write test cases to verify the front end and back end functionality for our application and cover deployment. By the end of the book, you will be proficient in using GraphQL and React for your full-stack development requirements. What you will learn Resolve data from multi-table database and system architectures Build a GraphQL API by implementing models and schemas with Apollo and Sequelize Set up an Apollo Client and build front end components using React Use Mocha to test your full-stack application Write complex React components and share data across them Deploy your application using Docker Who this book is for The book is for web developers who want to enhance their skills and build complete full stack applications using industry standards. Familiarity with JavaScript, React, and GraphQL is expected to get the most from this book.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 25, 2019)
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  • 80
    ISBN: 9781789133264 , 1789133262
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Internet of things ; Blockchains (Databases) ; Cloud computing ; Embedded Internet devices ; Electronic books ; Electronic books ; local
    Kurzfassung: Integrate an end-to-end logistic chain using IBM Blockchain and IoT platforms Key Features Explore practical implementation of ledger technology in the IoT architecture Study security best practices for your smart devices Understand Blockchain implementation for end-to-end IoT solutions Book Description Blockchain has been the hot topic of late thanks to cryptocurrencies. To make matters more interesting, the financial market is looking for ways to reduce operational costs and generate new business models, and this is where blockchain solutions come into the picture. In addition to this, with Internet of Things (IoT) trending and Arduino, Raspberry Pi, and other devices flooding the market, you can now create cheap devices even at home. Hands-On IoT Solutions with Blockchain starts with an overview of IoT concepts in the current business scenario. It then helps you develop your own device on the IBM Watson IoT platform and create your fi rst IoT solution using Watson and Intel Edison.Once you are familiar with IoT, you will learn about Blockchain technology and its use cases. You will also work with the Hyperledger framework and develop your own Blockchain network. As you progress through the chapters, you'll work with problem statements and learn how to design your solution architecture so that you can create your own integrated Blockchain and IoT solution. The next set of chapters will explain how to implement end-to-end Blockchain solutions with IoT using the IBM Cloud platform. By the end of this book, you will have mastered the convergence of IoT and Blockchain technology and exploited the best practices and drivers to develop a bulletproof integrated solution. What you will learn Understand the key roles of IoT in the current market Study the different aspects of IBM Watson IoT platform Create devices, gateways, and applications connected to the platform Explore the fundamentals of Blockchain Define good use cases for Blockchain Discover the Hyperledger Fabric and Composer frameworks Develop an IBM Watson IoT application using a Intel Edison Integrate IoT with the Blockchain platform Who this book is for Hands-On IoT Solutions with Blockchain is for you if you are an Internet of Things (IoT) analyst, architect, engineer, or any stakeholder responsible for security mechanisms on an IoT infrastructure. This book is also for IT professionals who want to start developing solutions using Blockchain and IoT on the IBM Cloud platform. Basic und...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 4, 2019)
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  • 81
    ISBN: 9781788832762 , 1788832760
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Internet of things ; Artificial intelligence ; Machine learning ; Electronic books ; Electronic books ; local
    Kurzfassung: Build smarter systems by combining artificial intelligence and the Internet of Things - two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how po...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 19, 2019)
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  • 82
    ISBN: 9781788832014 , 1788832019
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Cloud computing ; Web services ; Customer relations ; Management ; Data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Gain a complete overview of Oracle CX Cloud Suite and its tools for functions ranging from marketing to sales and commerce to service Key Features Make optimal use of your Oracle CX Cloud Suite to improve business results Achieve improved customer insights through Oracle CX's advanced capabilities Learn how to design a CX solution architecture Book Description Oracle CX Cloud offers features and capabilities that help companies excel at sales, customer management, and much more. This book is a detailed guide to implementing cloud solutions and helping administrators of all levels thoroughly understand the platform. Oracle CX Cloud Suite begins with an introduction to high-level Oracle architecture and examines what CX offers over CRM. You'll explore the different cloud-based tools for marketing, sales, and customer services, among others. The book then delves into deployment by covering basic settings, setting up users, and provisioning. You'll see how to integrate the CX suite to work together to interact with the environment and connect with legacy systems, social connectors, and internet services. The book concludes with a use case demonstrating how the entire Oracle CX Suite is set up, and also covers how to leverage Oracle ICS and Oracle CX Cloud for hybrid deployment. By end of the book, you will have learned about the working of the Oracle CX Cloud Suite and how to orchestrate user experience across all products seamlessly. What you will learn Differentiate between Oracle CRM and CX Cloud suites Explore a variety of Oracle CX Cloud tools for marketing and sales Set up users and database connections during deployment Employ Cloud Suite CX tools to aid in planning and analysis Implement hybrid Oracle CX solutions and connect with legacy systems Integrate with social media connectors like Facebook and LinkedIn Leverage Oracle ICS and Oracle CX Suite to improve business results Who this book is for This book is for administrators who want to develop and strengthen their Oracle CX Cloud Suite skills in the areas of configuration and system management. Whether you are a new administrator or an experienced professional, this book will enhance your understanding of the new Oracle CX features.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 14, 2019)
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  • 83
    ISBN: 9781788838184 , 1788838181
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): TypeScript (Computer program language) ; Web applications ; Application software ; Development ; Functional programming (Computer science) ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover the power of functional programming, lazy evaluation, monads, concurrency, and immutability to create succinct and expressive implementations Key Features Get a solid understanding of how to apply functional programming concepts in TypeScript Explore TypeScript runtime features such as event loop, closures, and Prototypes Gain deeper knowledge on the pros and cons of TypeScript Book Description Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language. The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you'll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios. By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript. What you will learn Understand the pros and cons of functional programming Delve into the principles, patterns, and best practices of functional and reactive programming Use lazy evaluation to improve the performance of applications Explore functional optics with Ramda Gain insights into category theory functional data structures such as Functors and Monads Use functions as values, so that they can be passed as arguments to other functions Who this book is for This book is designed for readers with no prior experience of functional programming with JavaScript, TypeScript or any other programming language. Some familiarity with TypeScript and web development is a must to grasp the concepts in the book easily.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 84
    ISBN: 9781788624640 , 1788624645
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Python (Computer program language) ; Blockchains (Databases) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: Implement real-world decentralized applications using Python, Vyper, Populus, and Ethereum Key Features Stay up-to-date with everything you need to know about the blockchain ecosystem Implement smart contracts, wallets, and decentralized applications(DApps) using Python libraries Get deeper insights into storing content in a distributed storage platform Book Description Blockchain is seen as the main technological solution that works as a public ledger for all cryptocurrency transactions. This book serves as a practical guide to developing a full-fledged decentralized application with Python to interact with the various building blocks of blockchain applications. Hands-On Blockchain for Python Developers starts by demonstrating how blockchain technology and cryptocurrency hashing works. You will understand the fundamentals and benefits of smart contracts such as censorship resistance and transaction accuracy. As you steadily progress, you'll go on to build smart contracts using Vyper, which has a similar syntax to Python. This experience will further help you unravel the other benefits of smart contracts, including reliable storage and backup, and efficiency. You'll also use web3.py to interact with smart contracts and leverage the power of both the web3.py and Populus framework to build decentralized applications that offer security and seamless integration with cryptocurrencies. As you explore later chapters, you'll learn how to create your own token on top of Ethereum and build a cryptocurrency wallet graphical user interface (GUI) that can handle Ethereum and Ethereum Request for Comments (ERC-20) tokens using the PySide2 library. This will enable users to seamlessly store, send, and receive digital money. Toward the end, you'll implement InterPlanetary File System (IPFS) technology in your decentralized application to provide a peer-to-peer filesystem that can store and expose media. By the end of this book, you'll be well-versed in blockchain programming and be able to build end-to-end decentralized applications on a range of domains using Python. What you will learn Understand blockchain technology and what makes it an immutable database Use the features of web3.py API to interact with the smart contract Create your own cryptocurrency and token in Ethereum using Vyper Use IPFS features to store content on the decentralized storage platform Implement a Twitter-like decentralized application with a desktop frontend Build decentralized app...
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 28, 2019)
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  • 85
    ISBN: 9781788390835 , 1788390830
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Microsoft Azure (Computing platform) ; Cloud computing ; Software patterns ; Application software ; Development ; Electronic books ; Electronic books ; local
    Kurzfassung: A practical guide that helps you progress to using modern integration methods and leverage new cloud capability models Key Features Design critical hybrid integration solutions for your organization Gain in-depth knowledge of how to build cloud-native integration solutions Leverage cognitive services to build smart cloud solutions Book Description With more enterprises adapting cloud-based and API-based solutions, application integration has become more relevant and significant than ever before. Parallelly, Serverless Integration has gained popularity, as it helps agile organizations to build integration solutions quickly without having to worry about infrastructure costs. With Microsoft Azure's serverless offerings, such as Logic Apps, Azure Functions, API Management, Azure Event Grid and Service Bus, organizations can build powerful, secure, and scalable integration solutions with ease. The primary objective of this book is to help you to understand various serverless offerings included within Azure Integration Services, taking you through the basics and industry practices and patterns. This book starts by explaining the concepts of services such as Azure Functions, Logic Apps, and Service Bus with hands-on examples and use cases. After getting to grips with the basics, you will be introduced to API Management and building B2B solutions using Logic Apps Enterprise Integration Pack. This book will help readers to understand building hybrid integration solutions and touches upon Microsoft Cognitive Services and leveraging them in modern integration solutions. Industry practices and patterns are brought to light at appropriate opportunities while explaining various concepts. What you will learn Learn about the design principles of Microsoft Azure Serverless Integration Get insights into Azure Functions, Logic Apps, Azure Event Grid and Service Bus Secure and manage your integration endpoints using Azure API Management Build advanced B2B solutions using Logic Apps, Enterprise Integration Pack Monitor integration solutions using tools available on the market Discover design patterns for hybrid integration Who this book is for Serverless Integration Design Patterns with Azure is for you if you are a solution architect or integration professional aiming to build complex cloud solutions for your organization. Developers looking to build next-level hybrid or cloud solutions will also find this book useful. Prior programming knowledge is necessary.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 28, 2019)
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  • 86
    ISBN: 9781789953121 , 178995312X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Electronic apparatus and appliances ; Design and construction ; Microcontrollers ; Programming ; Internet of things ; Electronic books ; Electronic books ; local
    Kurzfassung: Create and program Internet of Things projects using the Espressif ESP32. Key Features Getting to know the all new powerful EPS32 boards and build interesting Internet of Things projects Configure your ESP32 to the cloud technologies and explore the networkable modules that will be utilised in your IoT projects A step-by-step guide that teaches you the basic to advanced IoT concepts with ESP32 Book Description ESP32 is a low-cost MCU with integrated Wi-Fi and BLE. Various modules and development boards-based on ESP32 are available for building IoT applications easily. Wi-Fi and BLE are a common network stack in the Internet of Things application. These network modules can leverage your business and projects needs for cost-effective benefits. This book will serve as a fundamental guide for developing an ESP32 program. We will start with GPIO programming involving some sensor devices. Then we will study ESP32 development by building a number of IoT projects, such as weather stations, sensor loggers, smart homes, Wi-Fi cams and Wi-Fi wardriving. Lastly, we will enable ESP32 boards to execute interactions with mobile applications and cloud servers such as AWS. By the end of this book, you will be up and running with various IoT project-based ESP32 chip. What you will learn Understand how to build a sensor monitoring logger Create a weather station to sense temperature and humidity using ESP32 Build your own W-iFi wardriving with ESP32. Use BLE to make interactions between ESP32 and Android Understand how to create connections to interact between ESP32 and mobile applications Learn how to interact between ESP32 boards and cloud servers Build an IoT Application-based ESP32 board Who this book is for This book is for those who want to build a powerful and inexpensive IoT projects using the ESP32.Also for those who are new to IoT, or those who already have experience with other platforms such as Arduino, ESP8266, and Raspberry Pi.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 87
    ISBN: 9781789958065 , 1789958067
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Blockchains (Databases) ; Application software ; Development ; Business enterprises ; Technological innovations ; Data encryption (Computer science) ; Electronic funds transfers ; Electronic commerce ; Electronic books ; Electronic books ; local
    Kurzfassung: Your one-stop guide to blockchain technology and its business applications Key Features Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications Know in and out of blockchain technology to understand various business use cases Understand various common and not-so-common challenges faced in blockchain development Book Description Blockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend your existing business models and make correct fully-informed decisions. You will learn how decentralized applications are transforming numerous business sectors that are expected to play a huge role in the future. You will see how large corporations are already implementing blockchain technology now. You will then learn about the various blockchain services, such as Bitcoin, Ethereum, Hyperledger, and others to understand their use cases in a variety of business domains. You will develop a solid fundamental understanding of blockchain architecture. Moving ahead, you will get to grips with the inner workings of blockchain, with detailed explanations of mining, decentralized consensus, cryptography, smart contracts, and many other important concepts. You will delve into a realistic view of the current state of blockchain technology, along with its issues, limitations, and potential solutions that can take it to the next level. By the end of this book, you will all be well versed in the latest innovations and developments in the emerging blockchain space. What you will learn Understand the fundamentals of blockchain and how it was developed Gain a good understanding of economic concepts and developments Develop a base for concepts such as cryptography, computer networking, and programming Understand the applications of blockchain and its potential impact on the world Become well versed with the latest developments in the blockchain space Explore blockchain frameworks, including decentralized organizational structures, networks, and applications Who this book is for This book is for financial professionals, business executives, managers, and enthusiasts who are interested in getting well-versed with blockchain technology in various business domains. This book will help boost your existing business models using blockchain services. No prior experience of blockchain is required.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 15, 2019)
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  • 88
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789955989 , 178995598X
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Natural language processing (Computer science) ; Python (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features Assimilate key NLP concepts and terminologies Explore popular NLP tools and techniques Gain practical experience using NLP in application code Book Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learn Obtain, verify, and clean data before transforming it into a correct format for use Perform data analysis and machine learning tasks using Python Understand the basics of computational linguistics Build models for general natural language processing tasks Evaluate the performance of a model with the right metrics Visualize, quantify, and perform exploratory analysis from any text data Who this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.
    Anmerkung: Description based on online resource; title from cover (Safari, viewed May 15, 2019)
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  • 89
    ISBN: 9781789953701 , 1789953707
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Kali Linux ; Penetration testing (Computer security) ; Computer security ; Computers ; Access control ; Computer networks ; Security measures ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover end-to-end penetration testing solutions to enhance your ethical hacking skills Key Features Practical recipes to conduct effective penetration testing using the latest version of Kali Linux Leverage tools like Metasploit, Wireshark, Nmap, and more to detect vulnerabilities with ease Confidently perform networking and application attacks using task-oriented recipes Book Description Many organizations have been affected by recent cyber events. At the current rate of hacking, it has become more important than ever to pentest your environment in order to ensure advanced-level security. This book is packed with practical recipes that will quickly get you started with Kali Linux (version 2018.4 / 2019), in addition to covering the core functionalities. The book will get you off to a strong start by introducing you to the installation and configuration of Kali Linux, which will help you to perform your tests. You will also learn how to plan attack strategies and perform web application exploitation using tools such as Burp and JexBoss. As you progress, you will get to grips with performing network exploitation using Metasploit, Sparta, and Wireshark. The book will also help you delve into the technique of carrying out wireless and password attacks using tools such as Patator, John the Ripper, and airoscript-ng. Later chapters will draw focus to the wide range of tools that help in forensics investigations and incident response mechanisms. As you wrap up the concluding chapters, you will learn to create an optimum quality pentest report. By the end of this book, you will be equipped with the knowledge you need to conduct advanced penetration testing, thanks to the book's crisp and task-oriented recipes. What you will learn Learn how to install, set up and customize Kali for pentesting on multiple platforms Pentest routers and embedded devices Get insights into fiddling around with software-defined radio Pwn and escalate through a corporate network Write good quality security reports Explore digital forensics and memory analysis with Kali Linux Who this book is for If you are an IT security professional, pentester, or security analyst who wants to conduct advanced penetration testing techniques, then this book is for you. Basic knowledge of Kali Linux is assumed.
    Anmerkung: Previous edition published: 2017. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 90
    ISBN: 9781789803372 , 1789803373
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Microsoft Visual studio ; Computer games ; Programming ; UnrealScript (Computer program language) ; C++ (Computer program language) ; Computer games ; Design ; Electronic books ; Electronic books ; local
    Kurzfassung: Write efficient, reusable scripts to build custom characters, game environments, and control enemy AI Key Features Build captivating multiplayer games using Unreal Engine and C++ Incorporate existing C++ libraries into your game to add extra functionality such as hardware integration Practical solutions for memory management, error handling, inputs, and collision for your game codebase Book Description Unreal Engine 4 (UE4) is a popular and award-winning game engine that powers some of the most popular games. A truly powerful tool for game development, there has never been a better time to use it for both commercial and independent projects. With more than 100 recipes, this book shows how to unleash the power of C++ while developing games with Unreal Engine. This book takes you on a journey to jumpstart your C++ and UE4 development skills. You will start off by setting up UE4 for C++ development and learn how to work with Visual Studio, a popular code editor. You will learn how to create C++ classes and structs the Unreal way. This will be followed by exploring memory management, smart pointers, and debugging your code. You will then learn how to make your own Actors and Components through code and how to handle input and collision events. You will also get exposure to many elements of game development including creating user interfaces, artificial intelligence, and writing code with networked play in mind. You will also learn how to add on to the Unreal Editor itself. With a range of task-oriented recipes, this book provides actionable information about writing code for games with UE4 using C++. By the end of the book, you will be empowered to become a top-notch developer with UE4 using C++ as your scripting language! What you will learn Create C++ classes and structs that integrate well with UE4 and the Blueprints editor Discover how to work with various APIs that Unreal Engine already contains Utilize advanced concepts such as events, delegates, and interfaces in your UE4 projects Build user interfaces using Canvas and UMG through C++ Extend the Unreal Editor by creating custom windows and editors Implement AI tasks and services using C++, Blackboard, and Behavior Trees Write C++ code with networking in mind and replicate properties and functions Who this book is for If you are really passionate game developer looking for solutions to common scripting problems, then this is the book for you. Understanding of the fundamentals of game design ...
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 91
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781789808490 , 1789808499
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Information visualization ; Data mining ; Electronic books ; Electronic books ; local
    Kurzfassung: A quick start guide to visualize your Elasticsearch data Key Features Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack Work with different Kibana plugins and create effective machine learning jobs using Kibana Build effective dashboards and reports without any hassle Book Description The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential. This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding. What you will learn Explore how Logstash is configured to fetch CSV data Understand how to create index patterns in Kibana Become familiar with how to apply filters on data Discover how to create ML jobs Explore how to analyze APM data from APM agents Get to grips with how to save, share, inspect, and edit visualizations Understand how to find an anomaly in data Who this book is for Kibana 7 Quick Start Guide is for developers new to Kibana who want to learn the fundamentals of using the tool for visualization, as well as existing Elastic developers.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 26, 2019)
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  • 92
    ISBN: 9781789616279 , 1789616271
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Machine learning ; Python (Computer program language) ; Watson (Computer) ; Computer algorithms ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn how to build complete machine learning systems with IBM Cloud and Watson Machine learning services Key Features Implement data science and machine learning techniques to draw insights from real-world data Understand what IBM Cloud platform can help you to implement cognitive insights within applications Understand the role of data representation and feature extraction in any machine learning system Book Description IBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book is a complete guide to help you become well versed with machine learning on the IBM Cloud using Python. Hands-On Machine Learning with IBM Watson starts with supervised and unsupervised machine learning concepts, in addition to providing you with an overview of IBM Cloud and Watson Machine Learning. You'll gain insights into running various techniques, such as K-means clustering, K-nearest neighbor (KNN), and time series prediction in IBM Cloud with real-world examples. The book will then help you delve into creating a Spark pipeline in Watson Studio. You will also be guided through deep learning and neural network principles on the IBM Cloud using TensorFlow. With the help of NLP techniques, you can then brush up on building a chatbot. In later chapters, you will cover three powerful case studies, including the facial expression classification platform, the automated classification of lithofacies, and the multi-biometric identity authentication platform, helping you to become well versed with these methodologies. By the end of this book, you will be ready to build efficient machine learning solutions on the IBM Cloud and draw insights from the data at hand using real-world examples. What you will learn Understand key characteristics of IBM machine learning services Run supervised and unsupervised techniques in the cloud Understand how to create a Spark pipeline in Watson Studio Implement deep learning and neural networks on the IBM Cloud with TensorFlow Create a complete, cloud-based facial expression classification solution Use biometric traits to build a cloud-based human identification system Who this book is for This beginner-level book is for data scientists and machine learning engineers who want to get started with IBM Cloud and its machine learning services using practical examples. Basic knowledge of Python and some understanding of machine learning will be useful.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 93
    ISBN: 9781788998581 , 1788998588
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Application program interfaces (Computer software) ; Web applications ; Computer networks ; Management ; Cloud computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Build effective RESTful APIs for enterprise with design patterns and REST framework's out-of-the-box capabilities Key Features Understand advanced topics such as API gateways, API securities, and cloud Implement patterns programmatically with easy-to-follow examples Modernize legacy codebase using API connectors, layers, and microservices Book Description This book deals with the Representational State Transfer (REST) paradigm, which is an architectural style that allows networked devices to communicate with each other over the internet. With the help of this book, you'll explore the concepts of service-oriented architecture (SOA), event-driven architecture (EDA), and resource-oriented architecture (ROA). This book covers why there is an insistence for high-quality APIs toward enterprise integration. It also covers how to optimize and explore endpoints for microservices with API gateways and touches upon integrated platforms and Hubs for RESTful APIs. You'll also understand how application delivery and deployments can be simplified and streamlined in the REST world. The book will help you dig deeper into the distinct contributions of RESTful services for IoT analytics and applications. Besides detailing the API design and development aspects, this book will assist you in designing and developing production-ready, testable, sustainable, and enterprise-grade APIs. By the end of the book, you'll be empowered with all that you need to create highly flexible APIs for next-generation RESTful services and applications. What you will learn Explore RESTful concepts, including URI, HATEOAS, and Code on Demand Study core patterns like Statelessness, Pagination, and Discoverability Optimize endpoints for linked microservices with API gateways Delve into API authentication, authorization, and API security implementations Work with Service Orchestration to craft composite and process-aware services Expose RESTful protocol-based APIs for cloud computing Who this book is for This book is primarily for web, mobile, and cloud services developers, architects, and consultants who want to build well-designed APIs for creating and sustaining enterprise-class applications. You'll also benefit from this book if you want to understand the finer details of RESTful APIs and their design techniques along with some tricks and tips.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 94
    ISBN: 9781788298803 , 1788298802
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Serie: Learning path
    Schlagwort(e): Information storage and retrieval systems ; Big data ; Electronic books ; Electronic books ; local
    Kurzfassung: Get to grips with the unified, highly scalable distributed storage system and learn how to design and implement it. Key Features Explore Ceph's architecture in detail Implement a Ceph cluster successfully and gain deep insights into its best practices Leverage the advanced features of Ceph, including erasure coding, tiering, and BlueStore Book Description This Learning Path takes you through the basics of Ceph all the way to gaining in-depth understanding of its advanced features. You'll gather skills to plan, deploy, and manage your Ceph cluster. After an introduction to the Ceph architecture and its core projects, you'll be able to set up a Ceph cluster and learn how to monitor its health, improve its performance, and troubleshoot any issues. By following the step-by-step approach of this Learning Path, you'll learn how Ceph integrates with OpenStack, Glance, Manila, Swift, and Cinder. With knowledge of federated architecture and CephFS, you'll use Calamari and VSM to monitor the Ceph environment. In the upcoming chapters, you'll study the key areas of Ceph, including BlueStore, erasure coding, and cache tiering. More specifically, you'll discover what they can do for your storage system. In the concluding chapters, you will develop applications that use Librados and distributed computations with shared object classes, and see how Ceph and its supporting infrastructure can be optimized. By the end of this Learning Path, you'll have the practical knowledge of operating Ceph in a production environment. This Learning Path includes content from the following Packt products: Ceph Cookbook by Michael Hackett, Vikhyat Umrao and Karan Singh Mastering Ceph by Nick Fisk Learning Ceph, Second Edition by Anthony D'Atri, Vaibhav Bhembre and Karan Singh What you will learn Understand the benefits of using Ceph as a storage solution Combine Ceph with OpenStack, Cinder, Glance, and Nova components Set up a test cluster with Ansible and virtual machine with VirtualBox Develop solutions with Librados and shared object classes Configure BlueStore and see its interaction with other configurations Tune, monitor, and recover storage systems effectively Build an erasure-coded pool by selecting intelligent parameters Who this book is for If you are a developer, system administrator, storage professional, or cloud engineer who wants to understand how to deploy a Ceph cluster, this Learning Path is ideal for you. It will help you discover ways in which Ceph features...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 22, 2019)
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  • 95
    ISBN: 9781838642556 , 1838642552
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Learning path
    Schlagwort(e): Blockchains (Databases) ; Application software ; Development ; Electronic funds transfers ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn quick and effective techniques for developing blockchain-based distributed ledgers with ease Key Features Discover why blockchain is a game changer in the technology landscape Set up blockchain networks using Hyperledger Fabric Write smart contracts at speed with Hyperledger Composer Book Description Blockchain and Hyperledger are open source technologies that power the development of decentralized applications. This Learning Path is your helpful reference for exploring and building blockchain networks using Ethereum, Hyperledger Fabric, and Hyperledger Composer. Blockchain Development with Hyperledger will start off by giving you an overview of blockchain and demonstrating how you can set up an Ethereum development environment for developing, packaging, building, and testing campaign-decentralized applications. You'll then explore the de facto language Solidity, which you can use to develop decentralized applications in Ethereum. Following this, you'll be able to configure Hyperledger Fabric and use it to build private blockchain networks and applications that connect to them. Toward the later chapters, you'll learn how to design and launch a network, and even implement smart contracts in chain code. By the end of this Learning Path, you'll be able to build and deploy your own decentralized applications by addressing the key pain points encountered in the blockchain life cycle. This Learning Path includes content from the following Packt products: Blockchain Quick Start Guide by Xun (Brian) Wu and Weimin Sun Hands-On Blockchain with Hyperledger by Nitin Gaur et al. What you will learn Understand why decentralized applications are necessary Develop and test a decentralized application with Hyperledger Fabric and Hyperledger Composer Write and test a smart contract using Solidity Design transaction models and chain code with Golang Deploy the Composer REpresentational State Transfer (REST) Gateway to access Composer transactions Maintain, monitor, and manage your blockchain solutions Who this book is for This Learning Path is designed for blockchain developers who want to build decentralized applications and smart contracts from scratch using Hyperledger. Basic familiarity with or exposure to any programming language will be useful to get started with this course.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 96
    ISBN: 9781838648701 , 1838648704
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Learning path
    Schlagwort(e): Cloud computing ; Application software ; Development ; Computing platforms ; Electronic books ; Electronic books ; local
    Kurzfassung: Build cost-effective and robust cloud solutions with Google Cloud Platform (GCP) using these simple and practical recipes Key Features Explore the various service offerings of the GCP Host a Python application on Google Compute Engine Securely maintain application states with Cloud Storage, Datastore, and Bigtable Book Description GCP is a cloud computing platform with a wide range of products and services that enable you to build and deploy cloud-hosted applications. This Learning Path will guide you in using GCP and designing, deploying, and managing applications on Google Cloud. You will get started by learning how to use App Engine to access Google's scalable hosting and build software that runs on this framework. With the help of Google Compute Engine, you'll be able to host your workload on virtual machine instances. The later chapters will help you to explore ways to implement authentication and security, Cloud APIs, and command-line and deployment management. As you hone your skills, you'll understand how to integrate your new applications with various data solutions on GCP, including Cloud SQL, Bigtable, and Cloud Storage. Following this, the book will teach you how to streamline your workflow with tools, including Source Repositories, Container Builder, and Stackdriver. You'll also understand how to deploy and debug services with IntelliJ, implement continuous delivery pipelines, and configure robust monitoring and alerts for your production systems. By the end of this Learning Path, you'll be well versed with GCP's development tools and be able to develop, deploy, and manage highly scalable and reliable applications. This Learning Path includes content from the following Packt products: Google Cloud Platform for Developers Ted Hunter and Steven Porter Google Cloud Platform Cookbook by Legorie Rajan PS What you will learn Host an application using Google Cloud Functions Migrate a MySQL database to Cloud Spanner Configure a network for a highly available application on GCP Learn simple image processing using Storage and Cloud Functions Automate security checks using Policy Scanner Deploy and run services on App Engine and Container Engine Minimize downtime and mitigate issues with Stackdriver Monitoring and Debugger Integrate with big data solutions, including BigQuery, Dataflow, and Pub/Sub Who this book is for This Learning Path is for IT professionals, engineers, and developers who want to implement Google Cloud in their organizati...
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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  • 97
    ISBN: 9781789803198 , 1789803195
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Microsoft Cognitive Toolkit ; Neural networks (Computer science) ; Machine learning ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering how you can use deep learning models in your software applications with Microsoft Cognitive Toolkit Key Features Understand the fundamentals of Microsoft Cognitive Toolkit and set up the development environment Train different types of neural networks using Cognitive Toolkit and deploy it to production Evaluate the performance of your models and improve your deep learning skills Book Description Cognitive Toolkit is a very popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks, such as convolutional and recurrent neural networks. This book will help you understand the basics of deep learning. You will learn how to use Microsoft Cognitive Toolkit to build deep learning models and discover what makes this framework unique so that you know when to use it. This book will be a quick, no-nonsense introduction to the library and will teach you how to train different types of neural networks, such as convolutional neural networks, recurrent neural networks, autoencoders, and more, using Cognitive Toolkit. Then we will look at two scenarios in which deep learning can be used to enhance human capabilities. The book will also demonstrate how to evaluate your models' performance to ensure it trains and runs smoothly and gives you the most accurate results. Finally, you will get a short overview of how Cognitive Toolkit fits in to a DevOps environment What you will learn Set up your deep learning environment for the Cognitive Toolkit on Windows and Linux Pre-process and feed your data into neural networks Use neural networks to make effcient predictions and recommendations Train and deploy effcient neural networks such as CNN and RNN Detect problems in your neural network using TensorBoard Integrate Cognitive Toolkit with Azure ML Services for effective deep learning Who this book is for Data Scientists, Machine learning developers, AI developers who wish to train and deploy effective deep learning models using Microsoft CNTK will find this book to be useful. Readers need to have experience in Python or similar object-oriented language like C# or Java.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 98
    ISBN: 9781789806724 , 1789806720
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): VMware ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Kurzfassung: Discover advanced virtualization techniques and strategies to deliver centralized desktop and application services Key Features Leverage advanced desktop virtualization techniques and strategies to transform your organization Build better virtualized services for your users with VMware Horizon 7.8 Develop and deploy end-to-end virtualized solutions Book Description Desktop virtualization can be tough, but VMware Horizon 7.8 changes all that. With a rich and adaptive UX, improved security,and a range of useful features for storage and networking optimization, there's plenty to love. But to properly fall in love with it, you need to know how to use it, and that means venturing deeper into the software and taking advantage of its extensive range of features, many of which are underused and underpromoted. This guide will take you through everything you need to know to not only successfully virtualize your desktop infrastructure, but also to maintain and optimize it to keep all your users happy. We'll show you how to assess and analyze your infrastructure, and how to use that analysis to design a solution that meets your organizational and user needs. Once you've done that, you'll find out how to build your virtualized environment, before deploying your virtualized solution. But more than that,we'll also make sure you know everything you need to know about the full range of features on offer, including the mobile cloud, so that you can use them to take full control of your virtualized infrastructure. What you will learn Successfully configure Horizon 7.8 for the needs of your users Deliver virtual desktops, session-based desktops, and hosted applications Become familiar with how to develop, and deploy, a complete, end-to-end solution Discover how to optimize desktop OS images for virtual desktops Build, optimize, and tune desktop operating systems to deliver a superior end user experience Explore the Horizon 7.8 infrastructure so that you can take full advantage of it Who this book is for This book is ideal for system admins, and solution architects interested in gaining hands-on experience with virtualization. It will take you to an advanced level, but at a pace that ensures you are always solving real-world problems. Some experience in desktop management using Windows and Microsoft Office (and familiarity with Active Directory, SQL, Windows Remote Desktop Session Hosting, and VMware vSphere technology) is necessary.
    Anmerkung: Previous edition published: 2016. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 99
    ISBN: 9781789807196 , 1789807190
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Third edition.
    Schlagwort(e): VMware vSphere ; Virtual computer systems ; Electronic books ; Electronic books ; local
    Kurzfassung: Design a virtualized data center with VMware vSphere 6.7 Key Features Get the first book on the market that helps you design a virtualized data center with VMware vSphere 6.7 Learn how to create professional vSphere design documentation to ensure a successful implementation A practical guide that will help you apply infrastructure design principles to vSphere design Book Description VMware is the industry leader in data center virtualization. The vSphere 6.x suite of products provides a robust and resilient platform to virtualize server and application workloads. This book uses proven infrastructure design principles and applies them to VMware vSphere 6.7 virtual data center design through short and focused recipes on each design aspect. The second edition of this book focused on vSphere 6.0. vSphere features released since then necessitate an updated design guide, which includes recipes for upgrading to 6.7, vCenter HA; operational improvements; cutting-edge, high-performance storage access such as RDMA and Pmem; security features such as encrypted vMotion and VM-level encryption; Proactive HA; HA Orchestrated Restart; Predictive DRS; and more. By the end of the book, you will be able to achieve enhanced compute, storage, network, and management capabilities for your virtual data center. What you will learn Identify key factors related to a vSphere design Mitigate security risks and meet compliance requirements in a vSphere design Create a vSphere conceptual design by identifying technical and business requirements Design for performance, availability, recoverability, manageability, and security Map the logical resource design into the physical vSphere design Create professional vSphere design documentation Who this book is for If you are an administrator or consultant interested in designing virtualized data center environments using VMware vSphere 6.x (or previous versions of vSphere and the supporting components), this book is for you.
    Anmerkung: Previous edition published: 2016. - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed May 8, 2019)
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  • 100
    ISBN: 9781789807707 , 1789807700
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Windows Azure ; Cloud computing ; Computer networks ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Learn to distribute network traffic, optimize application delivery, and defend network-level threats. Key Features Quickly get up and running with Azure networking solutions Level-up your cloud networking skills by planning, implementing, configuring, and securing your infrastructure network with Azure Leverage Azure networking services to provide applications highly available and fault tolerant environment Book Description Microsoft provides organizations with an effective way of managing their network with Azure's networking services. No matter the size of your organization, Azure provides a way to highly reliable performance and secure connectivity with its networking services. The book starts with an introduction to the Azure networking like creating Azure virtual networks, designing address spaces and subnets. Then you will learn to create and manage network security groups, application security groups, and IP addresses in Azure. Gradually, we move on to various aspects like S2S, P2S, and Vnet2Vnet connections, DNS and routing, load balancers and traffic manager. This book will cover every aspect and function required to deliver practical recipes to help readers learn from basic cloud networking practices to planning, implementing, and securing their infrastructure network with Azure. Readers will not only be able to upscale their current environment but will also learn to monitor, diagnose, and ensure secure connectivity. After learning to deliver a robust environment readers will also gain meaningful insights from recipes on best practices. By the end of this book, readers will gain hands-on experience in providing cost-effective solutions that benefit organizations. What you will learn Learn to create Azure networking services Understand how to create and work on hybrid connections Configure and manage Azure network services Learn ways to design high availability network solutions in Azure Discover how to monitor and troubleshoot Azure network resources Learn different methods of connecting local networks to Azure virtual networks Who this book is for This book is targeted towards cloud architects, cloud solution providers, or any stakeholders dealing with networking on the Azure cloud. Some prior understanding of Microsoft Azure will be a plus point.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed May 15, 2019)
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