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Red Hat Enterprise Linux 9 Essentials
Arguably one of the most highly regarded and widely used enterprise-level operating systems available today is the Red Hat Enterprise Linux (typically shortened to RHEL and pronounced rell ) distribution. Not only is it considered to be among the most stable and reliable operating systems, it is also backed by the considerable resources and technical skills of Red Hat, Inc. Red Hat Enterprise Linux 9 Essentials is designed to provide detailed information on the installation, use, and administration of the Red Hat Enterprise Linux 9 distribution. For beginners, the book covers topics such as operating system installation, the basics of the GNOME desktop environment, configuring email and web servers, and installing packages and system updates using App Streams. Additional installation topics, such as dual booting with Microsoft Windows, are also covered, together with all important security topics, such as configuring a firewall and user and group administration. For the experienced user, topics such as remote desktop access, the Cockpit web interface, logical volume management (LVM), disk partitioning, swap management, KVM virtualization, Secure Shell (SSH), Linux Containers, and file sharing using both Samba and NFS are covered in detail to provide a thorough overview of this enterprise class operating system.
eBook
Pro Python best practices : debugging, testing and maintenance
Learn software engineering and coding best practices to write Python code right and error free. In this book you'll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.
Book
pytest Quick Start Guide
Learn the pytest way to write simple tests which can also be used to write complex tests Key Features * Become proficient with pytest from day one by solving real-world testing problems * Use pytest to write tests more efficiently * Scale from simple to complex and functional testing Book Description Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python. In this book, you will learn how to get started right away and get the most out of pytest in your daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. What you will learn * Write and run simple and complex tests * Organize tests in fles and directories * Find out how to be more productive on the command line * Markers and how to skip, xfail and parametrize tests * Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch * Convert unittest suites to pytest using little-known techniques * Use third-party plugins Who this book is for This book is for Python programmers that want to learn more about testing. This book is also for QA testers, and those who already benefit from programming with tests daily but want to improve their existing testing tools.
eBook
Natural Language Processing with Python Quick Start Guide
Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key Features * A no-math, code-driven programmer's guide to text processing and NLP * Get state of the art results with modern tooling across linguistics, text vectors and machine learning * Fundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorch Book Description NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learn * Understand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpus * Work with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clustering * Deep Learning in NLP using PyTorch with a code-driven introduction to PyTorch * Using an NLP project management Framework for estimating timelines and organizing your project into stages * Hack and build a simple chatbot application in 30 minutes * Deploy an NLP or machine learning application using Flask as RESTFUL APIs Who this book is for Programmers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.
eBook
Refactoring for Software Design Smells
Awareness of design smells - indicators of common design problems - helps developers or software engineers understand mistakes made while designing, what design principles were overlooked or misapplied, and what principles need to be applied properly to address those smells through refactoring.
eBook
Visual Studio code : end-to-end editing and debugging tools for web developers
The choice of a code editor is an important one for any web developer. Visual Studio Code, the free and open-source editor from Microsoft has swiftly become a favorite in the coding community. It provides all the basics in a lightweight package and adds a number of features that set it apart from other editors. Whether you are new to the program or are already a user, Visual Studio Code will equip you with a thorough knowledge of the out-of-the-box functionality and the available extensions for your cross-platform code editor of choice. This book is appropriate for developers using Visual Studio Code on Windows, Mac, or Unix, and guides you through the installation process for each platform. A detailed inventory of features, follows the development workflow, so you can follow along with this book to set up your workspace, project files, code editing tools, and source control integration as you go. Additionally, Visual Studio Code guides you through the extensibility features of the code editor, so you can locate and install key extension from additional language support to useful new functionality. Finally, this book will show you how to create your own extensions to make Visual Studio Code exactly what you need your code editor to be. Visual Studio Code is an essential guide to: Navigating and customizing the workspace ; Editing code in your language of choice using syntax coloring, refactoring support, and other productivity-enhancing features ; Choosing and implementing a file structure appropriate to your needs.
Book
Testing Elixir
Elixir offers new paradigms, and challenges you to test in unconventional ways. Start with ExUnit: almost everything you need to write tests covering all levels of detail, from unit to integration, but only if you know how to use it to the fullest - we'll show you how. Explore testing Elixir-specific challenges such as OTP-based modules, asynchronous code, Ecto-based applications, and Phoenix applications. Explore new tools like Mox for mocks and StreamData for property-based testing. Armed with this knowledge, you can create test suites that add value to your production cycle and guard you from regressions.Write Elixir tests that you can be proud of. Dive into Elixir's test philosophy and gain mastery over the terminology and concepts that underlie good tests. Create and structure a comprehensive ExUnit test suite, starting from the basics, and build comprehensive test coverage that will provide safety for refactoring and confidence that your code performs as designed. Use tests to make your software more reliable and fault tolerant.Explore the basic tool set provided by ExUnit and Mix to write and organize your test suite. Test code built around different OTP functionality. Isolate your code through dependency injection and by using Mox. Write comprehensive tests for Ecto projects, covering Ecto as a database tool as well as a standalone data validation tool. Test Phoenix channels from end to end, including authentication and joining topics. Write Phoenix controller tests and understand the concepts of integration testing in Elixir. Learn property-based testing with StreamData from the author who wrote the library.Code with high confidence that you are getting the most out of your test suite, with the right tools that make testing your code a pleasure and a valuable part of your development cycle.What You Need:To get the most out of this book, you will need to have installed Elixir 1.8 or later and Erlang/OTP 21 or later. In order to complete the relevant chapters, you will also need Ecto 3.1 or later, EctoSQL 3.1 or later and Phoenix 1.3 or later.
eBook