Scientific Computing in Python: Introduction to NumPy and Matplotlib
An introduction to scientific computing in Python using NumPy for numerical arrays and Matplotlib for data visualization.
An introduction to scientific computing in Python using NumPy for numerical arrays and Matplotlib for data visualization.
A guide to setting up a development environment for SciPy on Mac OS, including installing dependencies and using development mode.
A cheat sheet comparing matrix operations across MATLAB/Octave, Python (NumPy), R, and Julia for scientific computing and data analysis.
A review of the book 'NumPy 1.5 Beginner's Guide', covering its content, style, and suitability for learning numerical computing with Python.
A Cython tutorial on creating NumPy arrays from existing C-allocated memory without copying data, using PyArray_SimpleNewFromData.