Using native Python tools to optimize Python performance
Check out Tiago Rodrigues Antao's book 📖 Fast Python for Data Science | http://mng.bz/9N5q 📖 To save 40% off this book ⭐ DISCOUNT CODE: twitanta40 ⭐ In this excerpt from a live coding session, Tiago showcases how to use built-in Python tools to improve Python performance.
🎞 Leveraging laziness to improve Python performance | • Leveraging laziness to improve Python...
🎞 Concurrency, multiprocessing, and Python's Global Interpreter Lock (GIL) | • Concurrency, multiprocessing, and Pyt...
🎞 Optimizing NumPy for speed and efficiency | • Optimizing NumPy for speed and effici...
🎞 Using Cython to speed up Python | • Using Cython to speed up Python
🎞 Advanced tricks for optimizing CPU with Python | • Advanced tricks for optimizing CPU wi...
📚📚📚
Fast Python for Data Science | http://mng.bz/9N5q
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.
Nesta página do site você pode assistir ao vídeo on-line Using native Python tools to optimize Python performance duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Manning Publications 29 Maio 2021, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 585 vezes e gostou 5 espectadores. Boa visualização!
