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  • MPI Ethno. Forsch.  (10)
  • Englisch  (10)
  • Heydt, Michael  (5)
  • McKendrick, Russ  (5)
  • Birmingham, UK : Packt Publishing  (10)
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  • MPI Ethno. Forsch.  (10)
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  • Englisch  (10)
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  • 1
    ISBN: 9781789618686 , 1789618681
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Application software ; Development ; Computer software ; Development ; Software architecture ; Information technology ; Management ; Electronic books ; Electronic books ; local
    Kurzfassung: Master Docker and leverage its power in your day-to-day workflow Key Features Explore tools such as Docker Engine, Machine, Compose, and Swarm Discover how Docker can be integrated into your daily workflows Learn to leverage Docker Swarm and Kubernetes Book Description Docker has been a game-changer when it comes to how modern applications are deployed and created. It has now grown into a key driver of innovation beyond system administration, with an impact on the world of web development. But how can you make sure you're keeping up with the innovations it's driving, or be sure you're using it to its full potential? Mastering Docker shows you how; this book not only demonstrates how to use Docker more effectively, but also helps you rethink and reimagine what's possible with it. You will cover concepts such as building, managing, and storing images, along with best practices to make you confident, before delving more into Docker security. You'll find everything related to extending and integrating Docker in new and innovative ways. Docker Compose, Docker Swarm, and Kubernetes will help you take control of your containers in an efficient manner. By the end of the book, you will have a broad, yet detailed, sense of what's possible with Docker, and how seamlessly it fits in with a range of other platforms and tools. What you will learn Become ?uent with the basic components and concepts of Docker Learn the best ways to build, store, and distribute containers Understand how Docker can fit into your development work?ow Secure your containers and files with Docker's security features Solve architectural problems using the first and third clustering tool Leverage Linux containers and create highly scalable applications Who this book is for If you are an I.T professional and recognize Docker's importance for innovation in everything from system administration to web development, but aren't sure how to use it to its full potential, Mastering Docker is for you.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed December 4, 2018)
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  • 2
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781788999328 , 1788999320
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Information technology ; Automation ; Information technology ; Management ; Computer networks ; Security measures ; Management ; Cloud computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Run Ansible playbooks to launch complex multi-tier applications hosted in public clouds About This Book Build your learning curve using Ansible Automate cloud, network, and security infrastructures with ease Gain hands-on exposure on Ansible Who This Book Is For Learn Ansible is perfect for system administrators and developers who want to take their current workflows and transform them into repeatable playbooks using Ansible. No prior knowledge of Ansible is required. What You Will Learn Write your own playbooks to configure servers running CentOS, Ubuntu, and Windows Identify repeatable tasks and write playbooks to automate them Define a highly available public cloud infrastructure in code, making it easy to distribute your infrastructure configuration Deploy and configure Ansible Tower and Ansible AWX Learn to use community contributed roles Use Ansible in your day-to-day role and projects In Detail Ansible has grown from a small, open source orchestration tool to a full-blown orchestration and configuration management tool owned by Red Hat. Its powerful core modules cover a wide range of infrastructures, including on-premises systems and public clouds, operating systems, devices, and services-meaning it can be used to manage pretty much your entire end-to-end environment. Trends and surveys say that Ansible is the first choice of tool among system administrators as it is so easy to use. This end-to-end, practical guide will take you on a learning curve from beginner to pro. You'll start by installing and configuring the Ansible to perform various automation tasks. Then, we'll dive deep into the various facets of infrastructure, such as cloud, compute and network infrastructure along with security. By the end of this book, you'll have an end-to-end understanding of Ansible and how you can apply it to your own environments. Style and approach A hands-on approach to give you practical experience of writing playbooks and roles and executing them. At the end of each chapter, you'll find test questions to test your knowledge on Ansible. 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 you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
    Anmerkung: Includes bibliographical references. - Description based on online resource; title from title page (Safari, viewed August 8, 2018)
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  • 3
    ISBN: 9781788626125 , 1788626125
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Application software ; Development ; Cloud computing ; Computer software ; Development ; Software architecture ; Electronic books ; Electronic books ; local
    Kurzfassung: Transform yourself into a Kubernetes specialist in serverless applications. About This Book Get hands-on experience in installing, configuring, and using services such as Kubeless, Funktion, OpenWhisk, and Fission Learn how to launch Kubernetes both locally and in public clouds Explore the differences between using services such as AWS Lambda and Azure Functions and running your own Who This Book Is For If you are a DevOps engineer, cloud architect, or a stakeholder keen to learn about serverless functions in Kubernetes environments, then this book is for you. What You Will Learn Get a detailed analysis of serverless/Functions as a Service Get hands-on with installing and running tasks in Kubernetes using Minikube Install Kubeless locally and launch your first function. Launch Kubernetes in the cloud and move your applications between your local machine and your cloud cluster Deploy applications on Kubernetes using Apache OpenWhisk Explore topics such as Funktion and Fission installation on the cloud followed by launching applications Monitor a serverless function and master security best practices and Kubernetes use cases In Detail Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. It has been adopted by companies such as Google, its original developers, and Microsoft as an integral part of their public cloud platforms, so that you can develop for Kubernetes and not worry about being locked into a single vendor. This book will initially start by introducing serverless functions. Then you will configure tools such as Minikube to run Kubernetes. Once you are up-and-running, you will install and configure Kubeless, your first step towards running Function as a Service (FaaS) on Kubernetes. Then you will gradually move towards running Fission, a framework used for managing serverless functions on Kubernetes environments. Towards the end of the book, you will also work with Kubernetes functions on public and private clouds. By the end of this book, we will have mastered using Function as a Service on Kubernetes environments. Style and approach A clear, concise, and straightforward book that will empower you work with clusters and run serverless functions effectively.
    Anmerkung: Description based on online resource; title from title page (Safari, viewed February 14, 2018)
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  • 4
    ISBN: 9781787286634 , 1787286630
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Paralleltitel: Erscheint auch als
    Schlagwort(e): Python (Computer program language) ; Web usage mining ; Cloud computing
    Anmerkung: Description based on online resource; title from title page (Safari, viewed March 2, 2018)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 5
    Online-Ressource
    Online-Ressource
    Birmingham, UK : Packt Publishing
    ISBN: 9781787120310 , 1787120317
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Ausgabe: Second edition.
    Schlagwort(e): Python (Computer program language) ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Get to grips with pandas-a versatile and high-performance Python library for data manipulation, analysis, and discovery About This Book Get comfortable using pandas and Python as an effective data exploration and analysis tool Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas Who This Book Is For This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required. What You Will Learn Understand how data analysts and scientists think about of the processes of gathering and understanding data Learn how pandas can be used to support the end-to-end process of data analysis Use pandas Series and DataFrame objects to represent single and multivariate data Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources How to access data from external sources such as files, databases, and web services Represent and manipulate time-series data and the many of the intricacies involved with this type of data How to visualize statistical information How to use pandas to solve several common data representation and analysis problems within finance In Detail You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science. Style and approach Step-by-step instruction on using pandas within an end-to-end framework of performing data analysis Practical demonstration of using Python and pandas using interactive and incremental examples Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your ac...
    Anmerkung: Previous edition published: 2015. - Description based on online resource; title from cover (Safari, viewed July 21, 2017)
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  • 6
    ISBN: 9781786462312 , 1786462311
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): Computer software ; Development ; Electronic data processing ; Distributed processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Master the art of making Docker more extensible, composable, and modular by leveraging plugins and other supporting tools About This Book Get the first book on the market that shows you how to extend the capabilities of Docker using plugins and third-party tools Master the skills of creating various plugins and integrating great tools in order to enhance the functionalities of Docker A practical and learning guide that ensures your investment in Docker becomes more valuable Who This Book Is For This book is for developers and sys admins who are well versed Docker and have knowledge on basic programming languages. If you can't wait to extend Docker and customize it to meet your requirements, this is the book for you! What You Will Learn Find out about Docker plugins and the problems they solve Gain insights into creating your own plugin Use Docker tools to extend the basic functionality of the core Docker engine Get to grips with the installation and configuration of third-party tools available to use with Docker plugins Install, configure, and use a scheduling service to manage the containers in your environment Enhance your day-to-day Docker usage through security, troubleshooting, and best practices In Detail With Docker, it is possible to get a lot of apps running on the same old servers, making it very easy to package and ship programs. The ability to extend Docker using plugins and load third-party plugins is incredible, and organizations can massively benefit from it. In this book, you will read about what first and third party tools are available to extend the functionality of your existing Docker installation and how to approach your next Docker infrastructure deployment. We will show you how to work with Docker plugins, install it, and cover its lifecycle. We also cover network and volume plugins, and you will find out how to build your own plugin. You'll discover how to integrate it with Puppet, Ansible, Jenkins, Flocker, Rancher, Packer, and more with third-party plugins. Then, you'll see how to use Schedulers such as Kubernetes and Amazon ECS. Finally, we'll delve into security, troubleshooting, and best practices when extending Docker. By the end of this book, you will learn how to extend Docker and customize it based on your business requirements with the help of various tools and plugins. Style and approach An easy to follow guide with plenty of hands-on practical examples which can be executed both on your local machine or exte...
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed July 12, 2016)
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  • 7
    ISBN: 9781787286122 , 1787286126
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations
    Schlagwort(e): Information visualization ; Data processing ; JavaScript (Computer program language) ; Electronic books ; Electronic books ; local
    Kurzfassung: Turn your raw data into real knowledge by creating and deploying complex data visualizations with D3.js About This Book Understand how to best represent your data by developing the right kind of visualization Explore the concepts of D3.js through examples that enable you to quickly create visualizations including charts, network diagrams, and maps Get practical examples of visualizations using real-world data sets that show you how to use D3.js to visualize and interact with information to glean its underlying meaning Who This Book Is For Whether you are new to data and data visualization, a seasoned data scientist, or a computer graphics specialist, this Learning Path will provide you with the skills you need to create web-based and interactive data visualizations. Some basic JavaScript knowledge is expected, but no prior experience with data visualization or D3 is required What You Will Learn Gain a solid understanding of the common D3 development idioms Find out how to write basic D3 code for servers using Node.js Install and use D3.js to create HTML elements within a document Create and style graphical elements such as circles, ellipses, rectangles, lines, paths, and text using SVG Turn your data into bar and scatter charts, and add margins, axes, labels, and legends Use D3.js generators to perform the magic of creating complex visualizations from data Add interactivity to your visualizations, including tool-tips, sorting, hover-to-highlight, and grouping and dragging of visuals Write, test, and distribute a D3-based charting package Make a real-time application with Node and D3 In Detail D3 has emerged as one of the leading platforms to develop beautiful, interactive visualizations over the web. We begin the course by setting up a strong foundation, then build on this foundation as we take you through the entire world of reimagining data using interactive, animated visualizations created in D3.js. In the first module, we cover the various features of D3.js to build a wide range of visualizations. We also focus on the entire process of representing data through visualizations. By the end of this module, you will be ready to use D3 to transform any data into a more engaging and sophisticated visualization. In the next module, you will learn to master the creation of graphical elements from data. Using practical examples provided, you will quickly get to grips with the features of D3.js and use this learning to create your own spectacular da...
    Anmerkung: "Learning path.". - Includes bibliographical references and index. - Description based on online resource; title from cover (viewed April 18, 2017)
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  • 8
    ISBN: 9781783985111 , 1783985119
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): Python (Computer program language) ; Finance ; Quantitative research ; Open source software ; Electronic books ; Electronic books ; local
    Kurzfassung: Master pandas, an open source Python Data Analysis Library, for financial data analysis In Detail This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems. Starting with a focus on pandas data structures, you will learn to load and manipulate time-series financial data and then calculate common financial measures, leading into more advanced derivations using fixed- and moving-windows. This leads into correlating time-series data to both index and social data to build simple trading algorithms. From there, you will learn about more complex trading algorithms and implement them using open source back-testing tools. Then, you will examine the calculation of the value of options and Value at Risk. This then leads into the modeling of portfolios and calculation of optimal portfolios based upon risk. All concepts will be demonstrated continuously through progressive examples using interactive Python and IPython Notebook. By the end of the book, you will be familiar with applying pandas to many financial problems, giving you the knowledge needed to leverage pandas in the real world of finance. What You Will Learn Modeling and manipulating financial data using the pandas DataFrame Indexing, grouping, and calculating statistical results on financial information Time-series modeling, frequency conversion, and deriving results on fixed and moving windows Calculating cumulative returns and performing correlations with index and social data Algorithmic trading and backtesting using momentum and mean reversion strategies Option pricing and calculation of Value at Risk Modeling and optimization of financial portfolios 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 you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you.
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed June 10, 2015)
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  • 9
    ISBN: 9781785885501 , 1785885502
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): Linux ; Virtual computer systems ; Computer software ; Development ; Client/server computing ; Electronic books ; Electronic books ; local
    Kurzfassung: Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide! About This Book Get the only book that covers multiple methods to monitoring Docker Containers -your one-stop solution to all your Docker monitoring needs Learn how to implement third-party tools such as Datalog, cAdvisor, and more with this example-rich, hands-on guide Learn how to efficiently monitor Docker containers and get an edge over other administrators while maintaining apps on these containers Who This Book Is For This book is for DevOps engineers and system administrators who manage Docker containers and want to better manage these containers using expert techniques and methods and better maintain applications built on Docker. What You Will Learn Discover the tools built into Docker to gain an insight into your containers' performance Augment Docker's built-in tools with modern tools such as cAdvisor from Google, SysDig by Draios, and Soundcloud's Prometheus Integrate the monitoring of your containers with more traditional monitoring solutions such as Zabbix Take advantage of the various SaaS offerings from third parties to move monitoring away from your local infrastructure and into the cloud Discover the various ways to ship your applications' logs from the container to a central logging service Get the most out of your application and resources with the right implementation of your monitoring method In Detail This book will show you how monitoring containers and keeping a keen eye on the working of applications helps improve the overall performance of the applications that run on Docker. With the increased adoption of Docker containers, the need to monitor which containers are running, what resources they are consuming, and how these factors affect the overall performance of the system has become the need of the moment. This book covers monitoring containers using Docker's native monitoring functions, various plugins, as well as third-party tools that help in monitoring. Well start with how to obtain detailed stats for active containers, resources consumed, and container behavior. We also show you how to use these stats to improve the overall performance of the system. Next, you will learn how to use SysDig to both view your containers performance metrics in real time and record sessions to query later. By the end of this book, you will have a complete knowledge of how to implement monitoring for your co...
    Anmerkung: Includes index. - Description based on online resource; title from cover page (Safari, viewed December 31, 2015)
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  • 10
    ISBN: 9781783985135 , 1783985135
    Sprache: Englisch
    Seiten: 1 online resource (1 volume) , illustrations.
    Serie: Community experience distilled
    Schlagwort(e): Python (Computer program language) ; Electronic data processing ; Electronic books ; Electronic books ; local
    Kurzfassung: Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery In Detail This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis. This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance. With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis. What You Will Learn Install pandas on Windows, Mac, and Linux using the Anaconda Python distribution Learn how pandas builds on NumPy to implement flexible indexed data Adopt pandas' Series and DataFrame objects to represent one- and two-dimensional data constructs Index, slice, and transform data to derive meaning from information Load data from files, databases, and web services Manipulate dates, times, and time series data Group, aggregate, and summarize data Visualize techniques for pandas and statistical data
    Anmerkung: Includes index. - Description based on online resource; title from cover (Safari, viewed May 8, 2015)
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