A guide to accelerating NumPy computations using parallel processing with thread pools and Numba for optimized performance.
A technical guide to implementing a GPT model from scratch using only 60 lines of NumPy code, including loading pre-trained GPT-2 weights.
Analyzes performance limitations in scikit-learn due to CPython internals, memory hierarchy issues, and lack of low-level data structures.
A technical guide on computing distance matrices using NumPy, focusing on Euclidean distance and its application in machine learning algorithms like k-Nearest Neighbors.
An introduction to scientific computing in Python using NumPy for numerical arrays and Matplotlib for data visualization.
A tutorial on using NumPy for numerical arrays and Matplotlib for data visualization in Python, aimed at scientific computing and machine learning.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
Explains the theory behind linear regression models, a fundamental machine learning algorithm for predicting continuous numerical values.
A guide to setting up a development environment for SciPy on Mac OS, including installing dependencies and using development mode.
A tutorial on using Cython to optimize slow numerical Python code, demonstrated with an Ising Model simulation.
A review and tips for Georgia Tech's OMSCS CS6476 Computer Vision course, covering content, assignments, and personal experience.
A guide to optimizing a non-trivial algorithm (NUFFT) in Python using NumPy and Numba, comparing performance to a Fortran implementation.
A cheat sheet comparing matrix operations across MATLAB/Octave, Python (NumPy), R, and Julia for scientific computing and data analysis.
A tutorial on implementing Conway's Game of Life in Python using NumPy and SciPy, with visualization via matplotlib animations.
A 2016 article analyzing the slow adoption of Python 3 in the scientific community, now outdated with a recommendation to just use Python 3.
A developer built a 3D interactive Rubik's Cube simulator in Python using matplotlib, explaining the rendering and rotation logic.
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.
