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Big Data Science Big Data Science @bdscience · 3.57K subscribers
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😎⚡️💥Top little-known but quite useful Python libraries for Big Data analysis
Pattern - designed for data extraction on the Internet, natural language processing, machine learning and social network analysis. Tools include a search engine, APIs for Google, Twitter and Wikipedia, and text analysis algorithms that can be executed in a few lines of code.
SciencePlots is a library that provides styles for the Matplotlib library to produce professional plots for presentations, research papers, etc.
Pgeocode is a Python geocoding module that is designed to process geographic data and helps to combine and correlate different data. Using the pgeocode module, you can obtain and provide information related to a region or area using postal code information. Distances between two postal codes are also supported.
pynimate - module for animating line graphs of statistical data
GitHub GitHub - clips/pattern: Web mining module for Python, with tools for scraping, natural language processing, machine learning, network… Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization. - clips/pattern
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