Perform high-speed calculations on columnar data without creating intermediate objects.
[deprecated] High-performance interactive visualization in Python
Code for the book "High Performance Python" by Micha Gorelick and Ian Ozsvald with OReilly
Modin: Speed up your Pandas workflows by changing a single line of code
Ultra fast asyncio event loop.
A high-performance Python template language
Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.
Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more
FastAPI framework, high performance, easy to learn, fast to code, ready for production