Tag: pandas

polakowo/vectorbt is a Python backtesting engine using vectorized NumPy operations and optional Rust acceleration to evaluate thousands of trading strategies simultaneously. 8,335 stars, active maintenance.

mwaskom/seaborn is a Python statistical visualization library built on matplotlib with native Pandas DataFrame support. 13,960 stars, BSD 3-Clause licensed, Python 3.10+.

mlcourse.ai is an open Machine Learning course by OpenDataScience, led by Yury Kashnitsky. It offers 10 weeks of self-paced learning from Pandas to gradient boosting, with Kaggle competitions, multilingual content, and optional bonus assignments.

Discover DuckDB Python, the blazing-fast in-process analytical database that outperforms pandas on large datasets. Learn installation, real code examples, and why top developers are switching from traditional data tools.

SearchArray embeds BM25 and TF-IDF search indexing directly into Pandas DataFrames and NumPy arrays. Stop over-engineering with Elasticsearch for small-to-medium datasets—search with .score() like it's .mean(). Complete guide with real code examples.

Discover how PyGWalker transforms pandas DataFrames into interactive Tableau-like dashboards with a single line of code. Complete setup guide, real code examples, and advanced tips for 10x faster data exploration.

Discover yfinance, the Python library revolutionizing financial data access. From real-time streaming to options chain analysis, learn why 100M+ developers choose this open-source tool for market data. Complete guide with code examples included.

Discover Pandera, the open-source framework for statistically typed dataframe validation. Learn installation, real code examples, advanced patterns, and why top data engineers choose it over alternatives.