Books

Master NLP through practical recipes in this second edition of Python Natural Language Processing Cookbook that expands on data preparation and modeling, and delves into transformer models, GPT-4, NLU, and XAI for advanced NLP tasks.

This book will help you use a set of optimization techniques and strategies to speed up the training process of ML models. You’ll learn how to identify performance bottlenecks, decide the most suitable approach, and implement the correct solution.

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

The new edition of Modern Python Cookbook provides over 130 recipes for solving real-world problems with Python. Updated for Python 3.12 with new recipes and chapters. This practical guide will enhance your skills and teach you advanced techniques.

Unlock the power of design patterns to build maintainable and scalable software and applications using Python. Authored by Python veterans, this book is your guide to mastering design patterns in Python.

Explore Python code recipes to use market data for designing and deploying algorithmic trading strategies. By following step-by-step instructions, you’ll be proficient in trading concepts and have hands-on experience in a live trading environment.

Ready to dive into microservices development with Python? Here’s a quick, practical guide to get you started using FastAPI, Docker, and more!

I've written this book with data scientists, machine learning engineers, and AI practitioners in mind. If you're looking for ways to make your workflows faster, more efficient, and less prone to errors, this book is a great resource to have on hand. Together, we'll figure out how to use JAX, fix any problems that come up, and see what's possible with advanced machine learning.

This edition marks a significant shift in PyTorch's approach to optimization, enhancing both performance and flexibility. The introduction of torch.compile() provides a tool that will significantly boost the training and inference speed of models. This update allows developers to maximize the potential of their neural networks without the need to rewrite them from scratch. 

This book provides a practical guide to critical data science methods, focusing on their application in credit risk management. Using examples in R and Python, it presents step-by-step processes for applying various analytical techniques while highlighting the importance of aligning methods with the specific characteristics of the data. Designed for practitioners and those with foundational data science and banking knowledge, the book bridges theory and practice with real-world examples.

 Postman 11 revolutionizes API development with its enhanced scripting capabilities and real-time collaboration tools. The book seamlessly integrates these new features into the content to ensure you learn both the fundamentals of API development and the latest technology. The chapters are structured with a heavy focus on real-world applications. I believe that the most effective way to learn is through practical examples, exercises, and real-life situations. From initial API design to security protocol implementation and performance testing, this book will walk you through every step of the process, ensuring that your APIs are secure, scalable, and reliable. 

"Unlock the full potential of machine learning with my comprehensive guide to supervised learning! From Multiple Linear Regression to advanced Ensemble techniques like Bagging, Boosting, Stacking, and Blending, this book covers everything you need to build powerful models with confidence. Perfect for beginners and experts alike, dive into clear explanations, practical examples, and essential evaluation metrics that will elevate your machine learning skills to the next level."