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5 Python Libraries You Need to Know

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  1. Scrapy | A Fast and Powerful Scraping and Web Crawling Framework

    Scrapy is a fast high-level screen scraping and web crawling framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
  2. Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

    NumPy is the fundamental package for scientific computing in Python and provides a solid foundation on top of which to build your numerical algorithms. Pandas provides powerful data structures and tools to make working with large datasets easier. It can load data in many formats including csv, json, html and others.
  3. NumPy is the fundamental package for scientific computing with Python

    NumPy is the fundamental package for scientific computing in Python and provides a solid foundation on top of which to build your numerical algorithms. Pandas provides powerful data structures and tools to make working with large datasets easier. It can load data in many formats including csv, json, html and others.