Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Julia 1.0 programming : dynamic and high-performance programming to build fast scientific applications (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788990059 , 1788990056
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Julia (Computer program language) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Enter the exciting world of Julia, a high-performance language for technical computing Key Features Leverage Julia's high speed and efficiency for your applications Work with Julia in a multi-core, distributed, and networked environment Apply Julia to tackle problems concurrently and in a distributed environment Book Description The release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you'll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications. What you will learn Set up your Julia environment to achieve high productivity Create your own types to extend the built-in type system Visualize your data in Julia with plotting packages Explore the use of built-in macros for testing and debugging, among other uses Apply Julia to tackle problems concurrently Integrate Julia with other languages such as C, Python, and MATLAB Who this book is for Julia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If ...
    Note: Previous edition published: 2015. - Description based on online resource; title from title page (Safari, viewed October 29, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781788999090/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Julia : high performance programming : learning path : leverage the power of Julia to design and develop high performing programs (2016)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787126107 , 1787126102
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Julia (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Leverage the power of Julia to design and develop high performing programs About This Book Get to know the best techniques to create blazingly fast programs with Julia Stand out from the crowd by developing code that runs faster than your peers' code Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization Who This Book Is For This learning path is for data scientists and for all those who work in technical and scientific computation projects. It will be great for Julia developers who are interested in high-performance technical computing. This learning path assumes that you already have some basic working knowledge of Julia's syntax and high-level dynamic languages such as MATLAB, R, Python, or Ruby. What You Will Learn Set up your Julia environment to achieve the highest productivity Solve your tasks in a high-level dynamic language and use types for your data only when needed Apply Julia to tackle problems concurrently and in a distributed environment Get a sense of the possibilities and limitations of Julia's performance Use Julia arrays to write high performance code Build a data science project through the entire cycle of ETL, analytics, and data visualization Display graphics and visualizations to carry out modeling and simulation in Julia Develop your own packages and contribute to the Julia Community In Detail In this learning path, you will learn to use an interesting and dynamic programming language - Julia! You will get a chance to tackle your numerical and data problems with Julia. You'll begin the journey by setting up a running Julia platform before exploring its various built-in types. We'll then move on to the various functions and constructs in Julia. We'll walk through the two important collection types - arrays and matrices in Julia. You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia's design makes code fast, and you'll see its distributed computing capabilities. By the end of this learning path, you will see how data works using simple statistics and analytics, and you'll discover its high and dynamic performance - its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes conten...
    Note: Includes bibliographical references and index. - Description based on online resource; title from cover (Safari, viewed January 3, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781787125704/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Dart : scalable application development : master the art of designing web client and server with Google's bold productive language--Dart : a course in three modules (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781787289116 , 1787289117
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Dart (Computer program language) ; Web applications ; Development ; Web site development ; Electronic books ; Electronic books ; local
    Abstract: Master the art of designing web client and server with Google's bold and productive language ? Dart About This Book Create robust applications with unit tests, documentation, and diagnostic logging Master the core Dart language, type system, and key development tools Connect to existing web services, process JSON, and create your own framework for the data display Use mixins, reflections, annotations, and other metadata programming techniques to create powerful app Who This Book Is For If you are familiar with web development and are looking to learn, or even just evaluate, Dart as a multipurpose language, this learning path is for you. No familiarity with the Dart language is assumed. For beginners, it will serve as a guide to rapidly accelerate from a novice level to the master level; for intermediate to advanced developers it will quickly fill in the gaps on Dart and can explore a range of application types and powerful packages that are demonstrated in a practical manner. What You Will Learn Handle form data and encryption Set up your Dart environment to achieve the highest productivity Run and debug the Dart server and web applications and compile them in JavaScript Work with PostgreSQL - an industry standard relational database system Create robust applications with unit tests, documentation, and diagnostic logging Develop command-line applications, and explore the key data structures and libraries Detect and use HTML5 features that will help you deliver rich, cross-platform content Demonstrate the power of Polymer web components for binding data and structuring your web pages In Detail Designed to create next generation apps, Google's Dart offers a much more robust framework and also supersedes JavaScript in several aspects. Familiar yet innovative, compact yet scalable, it blows away the accumulated JavaScript legacy limitations. Dart was designed for great tool-ability and developer productivity, allowing you to create better application faster than before. Google chose it for their billion dollar advertising business and you have its power for your projects too. The first module will introduce you the Dart language starting from its conception to its current form, and where it headed is through engaging substantial practical projects. You will be taken through building typical applications and exploring the exciting new technologies of HTML5. The second module will show you how to add internalization support to your web applications ...
    Note: Authors: Davy Mitchell, Sergey Akopkokhyants, Ivo Balbaert. Cf. Credits page. - "Learning path"--Cover. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed July 11, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781787288027/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    WEB DEVELOPMENT WITH JULIA AND GENIE : a hands-on guide to high-performance server-side web development with the Julia programming language (2023)
    [Erscheinungsort nicht ermittelbar] : PACKT PUBLISHING LIMITED
    Details
    ISBN: 9781801810951 , 1801810958 , 9781801811132
    Language: English
    Pages: 1 online resource
    Edition: 1st edition.
    Parallel Title: Erscheint auch als
    DDC: 005.1
    Keywords: Computer software Development ; Julia (Computer program language) ; Web servers Computer programs ; Computer software ; Development ; Julia (Computer program language) ; Web servers ; Computer programs
    Abstract: Get a practical overview of web development in Julia and learn how to build MVC applications with a REST API, and an interactive data dashboard using the Genie web framework Key Features A tutorial on web development from Julia expert, Ivo Balbaert and the creator of the Genie framework, Adrian Salceanu A step-by-step approach to building a complete web app with the Genie framework Develop secure and fast web apps using server-side development on Julia Book Description Julia's high-performance and scalability characteristics and its extensive number of packages for visualizing data make it an excellent fit for developing web apps, web services, and web dashboards. The two parts of this book provide complete coverage to build your skills in web development. First, you'll refresh your knowledge of the main concepts in Julia that will further be used in web development. Then, you'll use Julia's standard web packages and examine how the building blocks of the web such as TCP-IP, web sockets, HTTP protocol, and so on are implemented in Julia's standard library. Each topic is discussed and developed into code that you can apply in new projects, from static websites to dashboards. You'll also understand how to choose the right Julia framework for a project. The second part of the book talks about the Genie framework. You'll learn how to build a traditional to do app following the MVC design pattern. Next, you'll add a REST API to this project, including testing and documentation. Later, you'll explore the various ways of deploying an app in production, including authentication functionality. Finally, you'll work on an interactive data dashboard, making various chart types and filters. By the end of this book, you'll be able to build interactive web solutions on a large scale with a Julia-based web framework. What you will learn Understand how to make a web server with HTTP.jl and work with JSON data over the web Discover how to build a static website with the Franklin framework Explore Julia web development frameworks and work with them Uncover the Julia infrastructure for development, testing, package management, and deployment Develop an MVC web app with the Genie framework Understand how to add a REST API to a web app Create an interactive data dashboard with charts and filters Test, document, and deploy maintainable web applications using Julia Who this book is for This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale web applications. The book helps you adopt Genie without any prior experience with the framework. Julia programming experience and a beginner-level understanding of web development concepts are required.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Rust essentials : a quick guide to writing fast, safe, and concurrent systems and applications (2017)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781788399135 , 1788399137
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: Second edition.
    Keywords: Programming languages (Electronic computers) ; Computer programming ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Leverage the functional programming and concurrency features of Rust and speed up your application development About This Book Get started with Rust to build scalable and high performance applications Enhance your application development skills using the power of Rust Discover the power of Rust when developing concurrent applications for large and scalable software Who This Book Is For The book is for developers looking for a quick entry into using Rust and understanding the core features of the language. Basic programming knowledge is assumed. What You Will Learn Set up your Rust environment to achieve the highest productivity Bridge the performance gap between safe and unsafe languages Use pattern matching to create flexible code Apply generics and traits to develop widely applicable code Organize your code in modules and crates Build macros to extend Rust's capabilities and reach Apply tasks to tackle problems concurrently in a distributed environment In Detail Rust is the new, open source, fast, and safe systems programming language for the 21st century, developed at Mozilla Research, and with a steadily growing community. It was created to solve the dilemma between high-level, slow code with minimal control over the system, and low-level, fast code with maximum system control. It is no longer necessary to learn C/C++ to develop resource intensive and low-level systems applications. This book will give you a head start to solve systems programming and application tasks with Rust. We start off with an argumentation of Rust's unique place in today's landscape of programming languages. You'll install Rust and learn how to work with its package manager Cargo. The various concepts are introduced step by step: variables, types, functions, and control structures to lay the groundwork. Then we explore more structured data such as strings, arrays, and enums, and you'll see how pattern matching works. Throughout all this, we stress the unique ways of reasoning that the Rust compiler uses to produce safe code. Next we look at Rust's specific way of error handling, and the overall importance of traits in Rust code. The pillar of memory safety is treated in depth as we explore the various pointer kinds. Next, you'll see how macros can simplify code generation, and how to compose bigger projects with modules and crates. Finally, you'll discover how we can write safe concurrent code in Rust and interface with C programs, get a view of the Rust ecosystem,...
    Note: Description based on online resource; title from cover (Safari, viewed December 6, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781788390019/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Learn Red : fundamentals of Red : get up and running with the Red language for full-stack development (2018)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781789133653 , 1789133653
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Parallel Title: Erscheint auch als
    RVK:
    ST 250
    Keywords: Programming languages (Electronic computers) ; REBOL (Computer program language) ; Application software Development
    Note: Description based on online resource; title from title page (Safari, viewed June 14, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: https://learning.oreilly.com/library/view/-/9781789130706/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Programming Crystal : create high-performance, safe, concurrent apps (2019)
    [Raleigh, North Carolina] : The Pragmatic Bookshelf
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: The pragmatic programmers
    Keywords: Crystal (Computer file) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Crystal is for Ruby programmers who want more performance, or for developers who enjoy working in a high-level scripting environment. Crystal combines native execution speed and concurrency with Ruby-like syntax, so you will feel right at home. This book, the first available on Crystal, shows you how to write applications that have the beauty and elegance of a modern language, combined with the power of types and modern concurrency tooling. Now you can write beautiful code that runs faster, scales better, and is a breeze to deploy. Crystal is elegant to read and easy to program like Ruby, allowing full object-oriented development. Its compiler is powerful enough to nearly always infer the type of your variables. So you get the benefits of a statically typed language: more robust code, safety and execution speed, while still reaching high productivity in development. Null pointer exceptions as in JavaScript, Java or C#, are a thing of the past: Crystal annihilates them, just like Rust. Explore the building blocks and design of the language, and how you can use the Crystal tool-chain to build and manage powerful applications. Harness the power of the macro system, as well as how to work with fibers and channels, making concurrency as easy as possible. Learn how to use the Kemal web framework and access databases, and how to tap the potential of existing Crystal libraries. Find the spot that Crystal fills in today's software world with real-world examples. With Crystal, you can combine the best of both worlds: the high-level coding of dynamic languages, and the safety and blazing performance of a natively compiled language. What You Need: To develop in Crystal, you only need Crystal v 0.26 the latest version, a common text editor and a browser.
    Note: Place of publication from publisher's website. - "Version: P1.0 (February 2019).". - Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed June 11, 2019)
    URL: https://learning.oreilly.com/library/view/-/9781680506631/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Getting started with Julia programming : enter the exciting world of Julia, a high-performance language for technical computing (2015)
    Birmingham, UK : Packt Publishing
    Details
    ISBN: 9781783284801 , 1783284803
    Language: English
    Pages: 1 online resource (1 volume) , illustrations.
    Series Statement: Community experience distilled
    Keywords: Programming languages (Electronic computers) ; Application software ; Development ; Electronic books ; Electronic books ; local
    Abstract: Enter the exciting world of Julia, a high-performance language for technical computing In Detail Julia is a new open source programming language that is used in the field of data science computing. It was created to solve the dilemma between high-level slow code and fast but low-level code, and the necessity to use both to achieve high performance. This book will give you a head start to tackle your numerical and data problems with Julia. Your journey will begin by learning how to set up a running Julia platform before exploring its various built-in types. You will then move on to cover the different functions and constructs in Julia. The book will then walk you through the two important collection types?arrays and matrices. Over the course of the book, you will also be introduced to homoiconicity, the meta-programming concept in Julia. Towards the concluding part of the book, you will also learn how to run external programs. This book will cover all you need to know about Julia to leverage its high speed and efficiency. What You Will Learn Set up your Julia environment to achieve the highest productivity Solve your tasks in a high-level dynamic language and use types for your data only when needed Create your own types to extend the built-in type system Visualize your data in IJulia with plotting packages Explore the use of built-in macros for testing, debugging, benchmarking, and more Apply Julia to tackle problems concurrently and in a distributed environment Integrate with other languages such as C, Python, and MATLAB
    Note: Includes index. - Description based on online resource; title from cover page (Safari, viewed March 20, 2015)
    URL: https://learning.oreilly.com/library/view/-/9781783284795/?ar
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    Julia 1.0 Programming Complete Reference Guide (2019)
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    Details
    ISBN: 9781838822248
    Language: English
    Pages: 1 online resource (466 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key Features Leverage Julia's high speed and efficiency to build fast, efficient applications Perform supervised and unsupervised machine learning and time series analysis Tackle problems concurrently and in a distributed environment Book Description Julia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There's never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI). You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You'll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You'll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs. Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you'll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system. By the end of this Learning Path, you'll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications. This Learning Path includes content from the following Packt products: Julia 1.0 Programming - Second Edition by Ivo Balbaert Julia Programming Projects by Adrian Salceanu What you will learn Create your own types to extend the built-in type system Visualize your data in Julia with plotting packages Explore the use of built-in macros for testing and debugging Integrate Julia with other languages such as C, Python, and MATLAB Analyze and manipulate datasets using Julia and DataFrames Develop and run a web app using Julia and the HTTP package Build a recommendation system using supervised machine learning Who this book is for If you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of m...
    Note: Online resource; Title from title page (viewed May 20, 2019) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    MPI Ethno. Forsch.
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...