Testing with F#. Deliver high-quality, bug-free applications by testing them with efficient and expressive functional programming

Mikael Lundin

Mastering Kali Linux for Advanced Penetration Testing. This book will make you an expert in Kali Linux penetration testing. It covers all the most advanced tools and techniques to reproduce the methods used by sophisticated hackers. Full of real-world examples – an indispensable manual

Robert Beggs

C# Programming Cookbook. Quick fixes to your common C# programming problems, with a focus on C# 6.0

Dirk Strauss

During your application development workflow, there is always a moment when you need to get out of a tight spot. Through a recipe-based approach, this book will help you overcome common programming problems and get your applications ready to face the modern world. We start with C# 6, giving you hands-on experience with the new language features. Next, we work through the tasks that you perform on a daily basis such as working with strings, generics, and lots more. Gradually, we move on to more advanced topics such as the concept of object-oriented programming, asynchronous programming, reactive extensions, and code contracts. You will learn responsive high performance programming in C# and how to create applications with Azure. Next, we will review the choices available when choosing a source control solution. At the end of the book, we will show you how to create secure and robust code, and will help you ramp up your skills when using the new version of C# 6 and Visual Studio

IBM Rational Team Concert 2 Essentials. Improve your team productivity with Integrated Process, Planning, and Collaboration using Team Concert Enterprise Edition

T C Fenstermaker, TC Fenstermaker, Suresh Krishna, Suresh Madhuvarsu

Software development is a collaborative effort needing active and timely input and response from all its members. Every day, project managers face ever-increasing pressures to produce high-quality software with increasing constraints. With IBM's Rational Team Concert collaborative software delivery environment, you can tremendously improve the productivity of your entire team through a web-based user-interface, continuous builds, a customizable process with work support, team support, integration and many more features.Written by Suresh Krishna and TC Fenstermaker, experts on Rational Team Concert, this book will help you leverage the full potential of the IBM Rational Team Concert platform to improve your individual and team performance. It follows a realistic case-study example enabling you to learn about Rational Team Concert fundamentals and best practices along the way to efficiently manage your software projects and tackle various software development challenges.Beginning with an in-depth analysis of software development challenges, the book goes on to introduce the Jazz Platform followed by a complete overview of the architecture of Rational Team Concert. After you install Rational Team Concert on WebSphere and learn to configure the server and clients, you will see all the features in relation to Web and Eclipse clients.From Chapter 3 onwards a realistic sample application is constructed to give you a strong grasp of your concepts. As you proceed, you learn source control, the mechanism to create, control, and manage documents, artifacts in a software development lifecycle, followed by different tools that Rational Team Concert offers for effective team and work management. You tackle the various challenges of Team Collaboration by integrated e-mail, instant messaging, events, feeds, and work items, the basic units of the task. You also learn the various aspects of the software development process and release planning along with process templates, which provide the initial process and iteration of your project. Finally, you extend the Rational Team Concert and make use of the Jazz Platform APIs to customize your process to fit your organizational needs.

Learning F# Functional Data Structures and Algorithms. Get started with F# and explore functional programming paradigm with data structures and algorithms

Adnan Masood

Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques

Kumar Abhishek, Dr. Mounir Abdelaziz

As machine learning practitioners, we often encounter imbalanced datasets in which one class has considerably fewer instances than the other. Many machine learning algorithms assume an equilibrium between majority and minority classes, leading to suboptimal performance on imbalanced data. This comprehensive guide helps you address this class imbalance to significantly improve model performance.Machine Learning for Imbalanced Data begins by introducing you to the challenges posed by imbalanced datasets and the importance of addressing these issues. It then guides you through techniques that enhance the performance of classical machine learning models when using imbalanced data, including various sampling and cost-sensitive learning methods.As you progress, you’ll delve into similar and more advanced techniques for deep learning models, employing PyTorch as the primary framework. Throughout the book, hands-on examples will provide working and reproducible code that’ll demonstrate the practical implementation of each technique.By the end of this book, you’ll be adept at identifying and addressing class imbalances and confidently applying various techniques, including sampling, cost-sensitive techniques, and threshold adjustment, while using traditional machine learning or deep learning models.

Building Data-Driven Applications with LlamaIndex. A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Andrei Gheorghiu

Discover the immense potential of Generative AI and Large Language Models (LLMs) with this comprehensive guide. Learn to overcome LLM limitations, such as contextual memory constraints, prompt size issues, real-time data gaps, and occasional ‘hallucinations’. Follow practical examples to personalize and launch your LlamaIndex projects, mastering skills in ingesting, indexing, querying, and connecting dynamic knowledge bases. From fundamental LLM concepts to LlamaIndex deployment and customization, this book provides a holistic grasp of LlamaIndex's capabilities and applications. By the end, you'll be able to resolve LLM challenges and build interactive AI-driven applications using best practices in prompt engineering and troubleshooting Generative AI projects.

Mastering Malware Analysis. A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks - Second Edition

Alexey Kleymenov, Amr Thabet

New and developing technologies inevitably bring new types of malware with them, creating a huge demand for IT professionals that can keep malware at bay. With the help of this updated second edition of Mastering Malware Analysis, you’ll be able to add valuable reverse-engineering skills to your CV and learn how to protect organizations in the most efficient way.This book will familiarize you with multiple universal patterns behind different malicious software types and teach you how to analyze them using a variety of approaches.You'll learn how to examine malware code and determine the damage it can possibly cause to systems, along with ensuring that the right prevention or remediation steps are followed. As you cover all aspects of malware analysis for Windows, Linux, macOS, and mobile platforms in detail, you’ll also get to grips with obfuscation, anti-debugging, and other advanced anti-reverse-engineering techniques. The skills you acquire in this cybersecurity book will help you deal with all types of modern malware, strengthen your defenses, and prevent or promptly mitigate breaches regardless of the platforms involved.By the end of this book, you will have learned how to efficiently analyze samples, investigate suspicious activity, and build innovative solutions to handle malware incidents.