Python

Learn how to implement various feature selection methods in a few lines of code and train faster, simpler, and more reliable machine learning models. Using Python open-source libraries, you will learn how to find the most predictive features from your data through filter, wrapper, embedded, and additional feature selection methods.

The Rust book written for Python developers. Every concept explained from your Python mental model — ownership through GC comparison, traits through protocols, concurrency through the GIL. Build a CLI tool that outperforms Python by 10-50x, then call it from Python with PyO3.

Stop Watching the Market. Start Coding It. 📈 Welcome to the era of "Quantamental" AI Trading. Volume 7 is your engineering manual for building professional-grade trading infrastructure. Bridge the gap between classical technical analysis and LLMs—designing systems that trade on both Math (price action) and News (sentiment). From vectorized backtesting to sentiment analysis with FinBERT, it’s time to engineer your edge.

One of the most comprehensive no-fluff guides for Python software developers to help them write clean code every day. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code.

Whether you're writing your first line of code or building professional applications, this book takes you from the fundamentals to real world Python development. Learn the skills, tools and best practices used by experienced developers to write clean, reliable and scalable code with confidence.

The Databricks platform and data-engineering playbook for the engineers who own pipelines, govern catalogs, and keep workloads on schedule. Sixteen chapters on Unity Catalog, Lakeflow, identity, observability, and performance. Azure examples; concepts mapped to AWS and GCP.

"Exploitology: Web Apps Exploits" explores web app security, focusing on vulnerabilities, exploitation techniques, and defense strategies. With practical examples and real-world scenarios, this book helps readers sharpen their penetration testing skills and stay ahead in cybersecurity.

Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.

A model that crashes is a good day. The dangerous failures return answers — plausible, fluent, and wrong. 100 failures. 63 diagnostic instruments. One rule: inspect what actually happened.

A chatbot can describe how to do your work. An agent can do it—if you build it to be trusted. Learn to construct, verify, and deploy AI agents that earn a place in real scientific and engineering practice.

The hands-on guide to building desktop apps with Python and Qt6.

Your Python is elegant, expressive, and — let's be honest — slow where it counts. This book teaches you to rewrite the 3% that hurts in Rust, without rewriting the 97% that doesn't, by building a real log intelligence platform from first spark to production-ready package. If you've ever stared at a profiler's output and thought there has to be a faster way — there is, and you won't even need to give up pip install.

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

A straightforward introduction to PySide6: Create functional, cross-platform GUIs in Python with practical, step-by-step blueprints.

Learn Python as a network engineer, not as a computer science student. 632 pages, every example built on real device output. Cisco-first, with Juniper and Fortinet.