Check out Tiago Rodrigues Antao's book 📖 Fast Python for Data Science | [ Ссылка ] 📖 To save 40% off this book ⭐ DISCOUNT CODE: twitanta40 ⭐ In this excerpt from a live coding session, Tiago explains how to speed up Python by using low-level languages such as Cython, its workhorse.

🎞 Using native Python tools to optimize Python performance | [ Ссылка ]
🎞 Leveraging laziness to improve Python performance | [ Ссылка ]
🎞 Concurrency, multiprocessing, and Python's Global Interpreter Lock (GIL) | [ Ссылка ]
🎞 Optimizing NumPy for speed and efficiency | [ Ссылка ]
🎞 Advanced tricks for optimizing CPU with Python | [ Ссылка ]

📚📚📚
Fast Python for Data Science | [ Ссылка ]
To save 40% off this book use discount code: twitanta40
📚📚📚

"Fast Python for Data Science" is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.

свернуть