Hacking Import for Speed: Writing a GPU Accelerator for Pandas
Explore Python's import system hacking to accelerate pandas on GPU using cuDF. Learn Pythonic proxy patterns and dynamic features to boost performance without code changes.
Creative Coding with py5 - The Python Version of Processing
Explore py5, a Python framework for creative coding similar to Processing. Learn data visualization, art creation, and educational applications using familiar Python libraries.
Building a Data Visualization App for Mobile Phones Using Python
Learn to create mobile data visualization apps using Python tools like NumPy and Matplotlib, without needing specialized mobile development skills.
Creative Coding with py5 - The Python Version of Processing
Explore py5, a Python framework for creative coding similar to Processing. Learn data visualization, art creation, and educational applications using familiar Python libraries.
Hacking Import for Speed: Writing a GPU Accelerator for Pandas
Explore Python's import system hacking to accelerate pandas on GPU using cuDF. Learn Pythonic proxy patterns and dynamic features to boost performance without code changes.
Ruff: An Extremely Fast Python Linter and Code Formatter Written in Rust
Explore Ruff, a high-speed Python linter and formatter in Rust. Learn its functionality, performance optimizations, and design choices that make it significantly faster than alternatives.
Ruff: An Extremely Fast Python Linter and Code Formatter Written in Rust
Explore Ruff, a high-speed Python linter and formatter in Rust. Learn its functionality, performance optimizations, and design choices that make it significantly faster than alternatives.
PyTorch Tutorial for Deep Learning
Explore PyTorch for deep learning: implement neural networks, leverage GPU acceleration, and train convolutional models for digit recognition using efficient coding practices.
Essential Python Libraries for Data Science and Development - 2024
Master essential Python data science libraries including NumPy, Pandas, Matplotlib, Scikit-learn, and more through hands-on examples and practical demonstrations, culminating in building a Tic Tac Toe game.
Solving 50 Python NumPy Problems - From Easy to Difficult
Master NumPy fundamentals through 50 hands-on coding exercises, progressing from basic array operations to advanced matrix manipulations, data types, and mathematical computations.