fast.ai
Free practical deep learning course and library built on PyTorch — teaches cutting-edge techniques with a top-down approach
Data Science & ML
Libraries and tools for data analysis and machine learning
Kaggle
Platform for data science competitions, free courses, public datasets, and notebooks — the best place to practice real-world ML
Matplotlib
The foundational Python plotting library — creates static, animated, and interactive visualisations, and underpins most of the scientific Python ecosystem
MLflow
Open-source platform for managing the ML lifecycle — experiment tracking, model registry, deployment, and reproducibility across any ML framework
Plotly Python
Interactive charting library for Python — creates browser-based charts, dashboards, and maps that users can zoom, filter, and hover over
Polars
Blazing-fast DataFrame library written in Rust — handles datasets in the 10GB–100GB range that Pandas struggles with
PyTorch
The leading deep learning framework for research and production, known for its Pythonic design and dynamic computational graphs
SciPy
Core scientific computing library providing algorithms for optimisation, integration, interpolation, linear algebra, statistics, and signal processing
Seaborn
Statistical data visualisation library built on Matplotlib — produces attractive, informative plots from pandas DataFrames with minimal code
TensorFlow
Open-source machine learning framework for building neural networks and deep learning models
Scikit-learn
Machine learning library with tools for classification, regression, clustering, and dimensionality reduction
Pandas
Data analysis and manipulation library providing DataFrames for working with tabular data
NumPy
Fundamental package for numerical computing in Python with support for arrays and matrices