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Название: Fostering Open Source Culture: Increase Innovation and Deliver Faster with Open Source
Автор: Arun Gupta
Издательство: Apress
Год: 2024
Страниц: 358
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Open source accounts for approximately 90 percent of modern software development, yet the demand for such technology skills continues to grow. Consequently, companies are having a difficult time hiring the right talent. Based on author Arun Gupta's experiences with leading companies such as Apple, Amazon, Sun Microsystems, and Intel this book highlights the importance of an open source culture and shares proven techniques by which one can be built and nurtured. Many open source code maintainers feel there is a need for an open source culture in their company so that business needs can be met more efficiently. This book explains why it is important to have a business alignment with open source and the purpose of an Open Source Program Office. It will explain the value of InnerSource, internal events and leveraging external open source communities in building an active workplace culture. Fostering Open Source Culture is packed with over 40 industry case studies and actionable steps organizations, both large and small, can take to have a fully functioning open source work culture.

Название: Generative AI, Cybersecurity, and Ethics
Автор: Ray Islam
Издательство: Wiley
Год: 2025
Страниц: 364
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats. Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity. This book provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cyber security while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as Machine Learning (ML), Deep Learning (DL), Generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more.

Название: Learn Penetration Testing with Python 3.x: An Ethical Hacker's Blueprint for Offensive Security, 2nd Edition
Автор: Yehia Elghaly
Издательство: BPB Publications
Год: 2024
Страниц: 446
Язык: английский
Формат: epub (true)
Размер: 32.1 MB

Master Python 3 to develop your offensive arsenal tools and exploits for ethical hacking and red teaming. This book starts with an understanding of penetration testing and red teaming methodologies, and teaches Python 3 from scratch for those who are not familiar with programming. The book also guides on how to create scripts for cracking and brute force attacks. The second part of this book will focus on network and wireless level. The book will teach you the skills to create an offensive tool using Python 3 to identify different services and ports. You will learn how to use different Python network modules and conduct network attacks. In the network monitoring section, you will be able to monitor layer 3 and 4. Finally, you will be able to conduct different wireless attacks. The third part of this book will focus on web applications and exploitation developments. This book is for penetration testers, security researchers, red teams, security auditors and IT administrators who want to start with an action plan in protecting their IT systems. All you need is some basic understanding of programming concepts and working of IT systems.

Название: Test-Driven React: Find Problems Early, Fix Them Quickly, Code with Confidence, 2nd Edition
Автор: Trevor Burnham
Издательство: Pragmatic Bookshelf
Год: September 2024 (Version: P1.0)
Страниц: 174
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Turn your React project requirements into tests and get the feedback you need faster than ever before. Combine the power of testing, linting, and typechecking directly in your coding environment to iterate on React components quickly and fearlessly! You work in a loop: write code, get feedback, adjust. The faster you get feedback, the faster your code improves and the more effective you become as a developer. And that feedback comes from testing. The conceptual elegance of React has opened the door to a new generation of web testing: clear, expressive, and lightning fast. That makes React a perfect fit for test-driven development (TDD), a methodology in which tests are a blueprint instead of an afterthought. This book will introduce you to a TDD workflow suited to React development. That means taking full advantage of the extensive range of tools that have joined the jаvascript ecosystem in the last few years: Jest, TypeScript, ESLint, Prettier, and more. Used properly, these tools will give you the feedback you need to rapidly write code that’s both readable and reliable. In this chapter, you’ll build a simple jаvascript project using a test-driven approach. With Jest as your test framework, you’ll be able to create a lightning-fast feedback loop. You'll need a working knowledge of jаvascript or TypeScript, and a computer running macOS, Windows, or Linux.

Название: Deep Learning Applications in Operations Research
Автор: Aryan Chaudhary, Biswadip Basu Mallik, Gunjan Mukherjee, Rahul Kar
Издательство: CRC Press
Серия: Advances in Computational Collective Intelligence
Год: 2025
Страниц: 275
Язык: английский
Формат: pdf (true), epub
Размер: 50.4 MB

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the Machine Learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of Artificial Intelligence (AI) and Machine Learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance. Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML.

Название: Migrating ASP.NET Microservices to ASP.NET Core 8, Second Edition
Автор: Iris Classon
Издательство: Apress
Год: 2024
Страниц: 208
Язык: английский
Формат: pdf
Размер: 10.1 MB

In this second edition, you will be guided through the journey of migrating an ASP.NET Framework application to ASP.NET Core microservices. You will know how to master the following steps: Conduct an inventory, prepare the application, plan the migration, execute the migration, improve the deployment pipeline. For the detailed hands-on migration, the book uses a streamlined business application, derived from a real-world application that underwent the migration process a few years ago. In this second edition, the application has evolved to include more features relevant to the latest advancements in ASP.NET Core, such as minimal web APIs, Razor Pages, REST documentation, and enhanced authentication. The book also delves into the nuances of upgrading between ASP.NET Core versions, managing breaking changes, and incorporating significant new features. Software developers, IT professionals, and system architects who are looking to transition their applications to ASP.NET Core; serves as a fundamental resource for those keen on modernizing their development practices and staying current with ASP.NET Core.

Название: Learning PHP, MySQL & jаvascript: A Step-by-Step Guide to Creating Dynamic Websites, 7th Edition (Final Release)
Автор: Robin Nixon
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 650
Язык: английский
Формат: epub
Размер: 13.0 MB

Build interactive, data-driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. With the latest edition of this popular hands-on guide, you'll tackle dynamic web programming using the most recent versions of today's core technologies: PHP, MySQL, jаvascript, CSS, HTML5, jQuery, Node.js, and the powerful React library. Web designers will learn how to use these technologies together while picking up valuable web programming practices along the way, including how to optimize websites for mobile devices. You'll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. This book is for people who wish to learn how to create effective and dynamic websites.

Название: Think Stats: Exploratory Data Analysis, 3rd Edition (Early Release)
Автор: Allen Downey
Издательство: O’Reilly Media, Inc.
Год: 2024-11-26
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

If you know how to program, you have the skills to turn data into knowledge, using the tools of probability and statistics. This thoroughly revised edition shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. Through practical examples and exercises that follow a collection of real-world datasets, you'll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas as you explore distributions, relationships between variables, visualization, and many other concepts. And this updated guide has been fully moved into Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.

Название: Node.js Projects: Advanced Node.js Concepts and Techniques for Building Scalable and Efficient Web Applications (Early Release)
Автор: Jon Wexler
Издательство: O’Reilly Media, Inc.
Год: 2024-11-25
Страниц: 101
Язык: английский
Формат: pdf, epub (true)
Размер: 10.4 MB

Ready to take your Node.js skills to the next level? If you've grasped the basics, you're probably ready for more complex real-world applications that will distinguish you in today's competitive job market. But traditional learning resources often lack the depth and practical application you need to truly excel. This book offers a solution. Moving beyond theory, author Jon Wexler guides you through a series of engaging projects that will transform you from a competent programmer into a Node.js expert. You'll dive straight in with hands-on projects that tackle day-to-day challenges.

Название: Outlier Detection in Python (Final Release)
Автор: Brett Kennedy
Издательство: Manning Publications
Год: 2025
Страниц: 562
Язык: английский
Формат: pdf (true)
Размер: 31.4 MB

Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: finding patterns in data and finding the exceptions. These outliers are often the most informative parts of data, revealing hidden insights, novel patterns, and potential problems. Outlier Detection in Python is a practical guide to spotting the parts of a dataset that deviate from the norm, even when they're hidden or intertwined among the expected data points. Outlier Detection in Python illustrates the principles and practices of outlier detection with diverse real-world examples including social media, finance, network logs, and other important domains. You’ll explore a comprehensive set of statistical methods and machine learning approaches to identify and interpret the unexpected values in tabular, text, time series, and image data. Along the way, you’ll explore scikit-learn and PyOD, apply key OD algorithms, and add some high value techniques for real world OD scenarios to your toolkit. For Python programmers familiar with tools like Pandas and NumPy, and the basics of statistics.