Resources

Polars is a high-performance, open-source data manipulation library written in Rust that utilizes multi-threading and vectorized processing to enable fast and efficient data wrangling. Its user-friendly API, Apache Arrow integration, and out-of-core capabilities simplify complex tasks while optimizing performance on both small and large datasets.

• Polars
• Python
• SQL
• Node.js
• R
• Rust

A free, weekly email newsletter for those interested in Python development and various topics around Python and the communi‍‍‍ty.

• AsyncIO
• BytesIO
• Django
• Django REST Framework
• Duck Typing
• Enumerations
• FastAPI
• Flask
• Multiprocessing
• nox
• NumPy
• Pandas
• pdb
• PEP
• Pipx
• Poetry
• Polars
• Pydantic
• pyproject.toml
• PyPy
• Python
• Reflex
• SQLAlchemy
• String Interpolation
• unittest
• Wagtail
• Crawlee
• Data Visualization
• DuckDB
• LLM
• MongoDB
• PostgreSQL
• Sigstore
• Sqlite
• VSCode
• R
• Rust

Kaggle is a leading platform for data science competitions, where users tackle real-world challenges, share datasets, and build predictive models in a collaborative environment. Now under Google, Kaggle offers a rich progression system and resources that connect and support millions of data scientists worldwide.

• JAX
• Pandas
• Python
• PyTorch
• TensorFlow
• Computer Vision
• Deep Learning
• Geospatial Analysis
• Keras
• Machine Learning
• OpenCV
• Reinforcement Learning
• SQL
• Time Series
• R

Jupyter Notebook is an open-source web application that enables users to create and share documents containing live code, equations, and visualizations, supporting over 40 programming languages. Its advanced version, JupyterLab, provides a more flexible environment, making both tools ideal for data science, machine learning, and scientific computing tasks across various industries and research fields.

• Jupyter
• Python
• Julia
• R
• Scala