Reactive Applications with Akka.NET introduces developers to building responsive, resilient, and scalable applications using the Akka.NET framework. It focuses on applying reactive programming principles in real-world .NET projects.

Build a Reasoning Model (From Scratch) teaches readers how to construct AI models capable of logical reasoning. It focuses on step-by-step development using Python and machine learning techniques.

Agentic AI in Enterprise explores how businesses can leverage autonomous AI agents to automate operations, enhance decision-making, and drive efficiency. It focuses on practical strategies for implementing AI in enterprise environments.

A practical guide to building sophisticated home automation projects using the Raspberry Pi platform.

Python Notes for Professionals is a comprehensive reference that summarizes Python concepts, syntax, and libraries. It is designed for both beginners and experienced developers as a quick, practical guide.

Python for Data Science For Dummies introduces beginners to Python for data analysis, machine learning, and AI. It simplifies complex concepts and provides practical guidance for exploring and working with data.

Python Workout provides 50 practical exercises to help Python learners strengthen their programming skills. It focuses on problem-solving, coding techniques, and applying Python concepts in real scenarios.

Python Testing with pytest introduces readers to testing Python applications using the pytest framework. It focuses on writing clean, effective, and maintainable tests quickly.

Python for Data Analysis is a hands-on guide that teaches how to use Python’s powerful libraries like Pandas, NumPy, and Matplotlib to clean, analyze, and visualize data effectively. It’s one of the most essential books for aspiring data scientists.

Python for Beginners Programming Book and Workbook is a complete learning resource that teaches Python from scratch through explanations and exercises. It helps beginners practice coding and build a solid foundation in programming.

Python for Algorithmic Trading Cookbook provides ready-to-use recipes for building, testing, and deploying algorithmic trading strategies using Python. It bridges finance, data analysis, and programming to help traders automate decision-making.

Python Data Science Handbook (2nd Edition) is a comprehensive guide for learning data analysis and machine learning with Python. It focuses on using essential libraries like NumPy, Pandas, Matplotlib, and Scikit-learn to explore and visualize data effectively.

Introduction to Algorithms (3rd Edition), often referred to as CLRS, is a comprehensive textbook that provides an in-depth exploration of algorithms and data structures. It is widely used in computer science education and serves as a standard reference for professionals.

Introduction to Digital Systems offers a comprehensive introduction to digital electronics, covering fundamental principles and practical applications. Designed for students and professionals, it delves into topics such as logic gates, Boolean algebra, combinational and sequential circuits, and the use of test equipment. The book emphasizes hands-on learning, making it ideal for courses in electronics, systems and control, and electronic servicing. ScienceDirect

Introduction to Probability Models is a comprehensive guide to probability theory and its applications. It introduces fundamental concepts and models used to describe and analyze random phenomena across various disciplines.

Introduction to Building Your Own AI LLM Lab for Education is a comprehensive guide designed to assist educators, students, and institutions in establishing their own AI-powered educational environments. The book emphasizes the creation of private Large Language Models (LLMs) tailored to specific curricula, ensuring data privacy, customization, and cost-effectiveness.