Название: Selenium and Appium with Python: Build robust and scalable test automation frameworks using Selenium, Appium and Python
Автор: Yogashiva Mathivanan
Издательство: BPB Publications
Год: 2023
Страниц: 512
Язык: английский
Формат: epub
Размер: 93.4 MB

Learn how to run automated tests on web and mobile apps efficiently. Appium and Selenium are popular open-source frameworks widely used for test automation in the software industry. Python, on the other hand, is a versatile and powerful programming language known for its simplicity and readability. Combining Appium and Selenium with Python offers numerous advantages for test automation, including a simplified testing process, faster test execution, and increased efficiency in test script development. Written by a Test Automation Architect, this book aims to enhance your knowledge of Selenium and Appium automation tools. The book will help you learn how to leverage Python for test automation development, gaining skills to automate various types of elements, actions, gestures, and more in web and mobile applications, including Android and IOS. Furthermore, the book will help you create a robust and maintainable test automation framework from scratch.

Название: R Packages: Organize, Test, Document, and Share Your Code, 2nd Edition (Final Release)
Автор: Hadley Wickham, Jenny Bryan
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 381
Язык: английский
Формат: epub, mobi
Размер: 10.1 MB

Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that maintains the "tidyverse" suite of packages. In the process, you'll learn how to automate common development tasks using a set of R packages, including devtools, usethis, testthat, and roxygen2. Authors Hadley Wickham and Jennifer Bryan from Posit (formerly known as RStudio) help you create packages quickly, then teach you how to get better over time. You'll be able to focus on what you want your package to do as you progressively develop greater mastery of the structure of a package.

Название: Road to Kubernetes (MEAP v1)
Автор: Justin Mitchel
Издательство: Manning Publications
Год: 2023
Страниц: 125
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Learn how and why to use Kubernetes to deploy projects of any size. The Road to Kubernetes condenses fifteen years of deployment experience into one accessible, practical guide. You’ll learn sustainable deployment practices you can use with any language and any kind of web app, create portable applications that can move across deployment options and cloud providers, and see how possible it is to use Kubernetes for projects of any size. We start with deploying directly to virtual machines with two of the most popular programming languages for server-side web applications: Python and the jаvascript runtime Node.js. Soon after, we’ll move into deploying nearly any programming language by leveraging container technologies, pioneered by Docker. As you may know, Kubernetes manages and runs container-based applications, and thus, learning how to create, run, and deploy containers is a key element of this book. For software developers and software managers keen to learn more about successful deployment. Minor experience with Python or jаvascript, and the command line, is highly recommended.

Название: Learning C++ (MEAP v5)
Автор: Michael Haephrati, Ruth Haephrati
Издательство: Manning Publications
Год: 2023
Страниц: 589
Язык: английский
Формат: pdf
Размер: 28.9 MB

C++ is a serious programming language for important software. This friendly book makes it easy (and FUN!) to get started as a C++ programmer! Start here, and you’ll quickly be writing code, solving problems, and building real projects. Written for readers with only a beginning knowledge of computer programming, Learning C++ is the perfect way to get started with C++, including the new features of C++20. This engaging book eases the steep learning curve of C++ by using graphics, visual aids, and real-life analogies. Nothing is assumed. Authors Ruth and Michael Haephrati set a gentle pace perfect for easy learning. You’ll discover universal computer science principles that other learning resources often skip over. Start from the absolute basics, and you’ll steadily build strong programming skills step by step. C++ is one of the hardest programming languages to master, but the rewards are well worth it! C++ is fast and scales to projects of any size.

Название: Automating API Delivery: APIOps with OpenAPI (MEAP v1)
Автор: Ikenna Nwaiwu
Издательство: Manning Publications
Год: 2023
Страниц: 106
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Improve speed, quality, AND cost by automating your API delivery process! Automating API Delivery shows you how to strike the perfect balance between speed and usability by applying DevOps automation principles to your API design and delivery process. In this practical book, you’ll learn how to maximize developer productivity, improve time-to-market, and clear mile-long support backlogs. You want your APIs to be consistent, secure, easy to use, and well documented. You also want them to scale and be delivered fast. The APIOps approach accelerates API delivery using a CI/CD pipeline and automates manual governance and compliance checks. You’ll soon be seeing faster, high-quality API delivery and deployment that steps up innovation and increases consistency.

Название: Machine Learning for Neuroscience: A Systematic Approach
Автор: Chuck Easttom
Издательство: CRC Press
Год: 2024
Страниц: 305
Язык: английский
Формат: pdf (true)
Размер: 16.8 MB

This book addresses the growing need for Machine Learning and data mining in neuroscience. The book offers a basic overview of the neuroscience, Machine Learning and the required math and programming necessary to develop reliable working models. The material is presented in a easy to follow user-friendly manner and is replete with fully working Machine Learning code. Machine Learning for Neuroscience: A Systematic Approach, tackles the needs of neuroscience researchers and practitioners that have very little training relevant to Machine Learning. The first section of the book provides an overview of necessary topics in order to delve into Machine Learning, including basic linear algebra and Python programming. The second section provides an overview of neuroscience and is directed to the Computer Science oriented readers. You are going to work a lot with TensorFlow later in this book. Much of the use of TensorFlow will make more sense once you have read the chapters regarding Machine Learning.

Название: Using Julia for Introductory Econometrics
Автор: Florian Heiss, Daniel Brunner
Издательство: UPfIE
Год: 2023
Страниц: 402
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

Introduces the popular, powerful and free programming language and software package Julia. Julia an ideal candidate for starting to learn econometrics and data analysis. As we will show in this book, learning Julia and the basics of econometrics are two goals that can be achieved very well together. And Julia is completely free and available for all relevant operating systems. When using it in econometrics courses, students can easily download a copy to their own computers and use it at home (or their favorite cafés) to replicate examples and work on take-home assignments. This hands-on experience is essential for the understanding of the econometric models and methods. It also prepares students to conduct their own empirical analyses for their theses, research projects, and professional work.

Название: Using Python for Introductory Econometrics
Автор: Florian Heiss, Daniel Brunner
Издательство: UPfIE
Год: 2020
Страниц: 428
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Introduces the popular, powerful and free programming language and software package Python. Python is an ideal candidate for starting to learn econometrics and data analysis. It has a huge user base, especially in the fields of data science, machine learning, and artificial intelligence, where it arguably is the most popular software overall. These are very exciting areas and there is a lot of cutting edge research in the integration of their tools into the econometrics toolbox. So why not kill two birds with one stone and master a powerful and important software package while learning econometrics at the same time? Because Python must be hard to learn and to apply to econometrics? It is not at all, as this book shows. And Python is completely free and available for all relevant operating systems. When using it in econometrics courses, students can easily download a copy to their own computers and use it at home (or their favorite cafés) to replicate examples and work on take-home assignments. This hands-on experience is essential for the understanding of the econometric models and methods. It also prepares students to conduct their own empirical analyses for their theses, research projects, and professional work.

Название: Essential F#: Succinct, Robust, Performan
Автор: Ian Russell
Издательство: Leanpub
Год: 2023-01-30
Страниц: 207
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.2 MB

This is a practical book aimed at efficiently getting you up to speed with the essentials of functional-first programming in F#. It will help you to discover why F# is such a popular language with those who have spent time learning its secrets. This book is targeted at folks wanting to learn F# and assumes that the reader has no real knowledge of F# or functional programming. Some programming experience, particularly in C# or VB.NET, may be useful but not absolutely necessary. Although F# has often been portrayed as a functional programming language, it isn’t, and neither is this book purely about functional programming. You are not going to learn about Category Theory, Lambda Calculus, or even Monads. You will learn things about programming in a functional-first style as a by-product of how we solve problems with F#. What you will learn is how F#’s functional-first approach to programming empowers everyone to write succinct, robust, and performant code. You will learn a lot of new terminology as you read this book but only enough to understand the features of F# that allow us to solve real-world problems with clearly expressed and concise code.

Название: Intelligence-Driven Incident Response: Outwitting the Adversary 2nd Edition (Final)
Автор: Rebekah Brown, Scott J. Roberts
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 480
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Cyber-threat intelligence isn’t a new concept, simply a new name for an old approach: applying a structured analytical process to understand an attack and the adversary behind it. The application of threat intelligence to network security is more recent, but the basics haven’t changed. Cyber-threat intelligence involves applying intelligence processes and concepts—some of the oldest concepts that exist—and making them a part of the overall information security process. Threat intelligence has many applications, but one of the fundamental ways it can be utilized is as an integral part of the intrusion-detection and incident-response process. We call this intelligence-driven incident response and think it is something every security team can do, with or without a major capital investment. It’s less about tools, although they certainly help sometimes, and more about a shift in the way we approach the incident-response process. Intelligence-driven incident response will help not only to identify, understand, and eradicate threats within a network, but also to strengthen the entire information security process to improve those responses in the future.