Python Libraries and Packages

The Packages section serves as a meticulously curated directory of Python Packages, Projects, and Libraries. It integrates data from thousands of PyPI projects and the associated Github repositories to form a comprehensive network. Our unique categorization and tagging approach simplifies the process of discovering related projects and libraries.

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vectorbt 0.26.2

The vectorbt library is a powerful tool for Python developers interested in financial analysis. It provides a fast and flexible platform for backtesting trading strategies, operating directly on pandas and NumPy objects and leveraging the speed of Numba for high-performance computations. This package is open-source and is widely used in the algorithmic trading community for quantitative analysis, strategy testing, and research.

pyoptimus 23.5.0b0

PyOptimus is a Python library that brings together the power of various data processing engines like Pandas, Dask, cuDF, Dask-cuDF, Vaex, and PySpark under a single, easy-to-use API. It offers over 100 functions for data cleaning and processing, including handling strings, processing dates, URLs, and emails. PyOptimus also provides out-of-the-box functions for data exploration and quality fixing. One of the key features of PyOptimus is its ability to handle large datasets efficiently, allowing you to use the same code to process data on your laptop or on a remote cluster of GPUs.

whereami 0.4.90

whereami is a Python library that leverages the power of machine learning and WiFi signals to predict your location. It's a cross-platform solution that works on OSX, Windows, and Linux. The library uses sklearn's RandomForest for learning and prediction, making it capable of distinguishing between small distances, such as different rooms in a house or different seats in a room. The library provides a simple interface for training the model on different locations and predicting the current location.