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Editorial Reviews. About the Author. Kurt Smith has been using Python in scientific computing ever since his college days, looking for any opportunity to.
Table of contents
- Optimizing with Cython Introduction - Cython Tutorial
- Cython: A Guide for Python Programmers
- About this product
- Python Programming Tutorials
Optimizing with Cython Introduction - Cython Tutorial
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Showing Rating details. Sort order. Jan 02, Serdar rated it it was amazing.
My browser just ate the entire original version of this review because I'm a klutz. But here's the short version. C is fast.
Cython: A Guide for Python Programmers
Programming in C is hard. Write Python, convert it to C incrementally. In my case, I wrote a video game and got massive speedups by moving performance-crucial code to C with Cython, mainly the collision detection algorithms.
A script thrown together in ten minutes that takes two minutes to run will always beat a program that takes two days to put together but executes in a tenth of a second. But with Cython, we're reaching a point where we don't have to compromise. Mar 16, Douglas Baldwin rated it really liked it.
About this product
Kurt Smith's Cython is very clear. With only a few days of reading and coding, I was able to speed up my pure-Python simulation from 6 s per iteration to just 30 ms! If you're simulating physics in Python on a workstation, I highly recommend this book. Mar 17, Samuel Ronsin rated it really liked it.
Really nice if you want to get familiar with lower-level implementation with Python, especially for scientific computing. Jan 20, Delhi Irc added it. DL ND6. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up.
Python Programming Tutorials
Code examples from the book. Branch: master New pull request. Find File.
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