• Add audio to your game using FMOD and wrap it in your own...

• Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
• Explore deep neural...

Harness your master data and grow revenue while reducing...

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...

• Create production-ready MVC and REST API with the dynamic features of Flask
• Utilize the various extensions like Flask-JWT and Flask-SQLAlchemy to...

Reactive Design Patterns is a clearly written guide for building message-driven distributed systems that are resilient, responsive, and elastic. In this book you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly...

• Explore tools and techniques to push your web app to the next level
• Master Angular app design and...

• A hands-on guide to web scraping using Python with solutions to real-world problems
• Create a number of different web scrapers in Python to extract information
• This book...

The scientific Python ecosystem of open source libraries has grown substantially over the last 10 years. By late 2011, I had long felt that the lack of centralized learning resources for data analysis and statistical applications was a stumbling block for new Python programmers engaged in such work. Key projects for data...