Useful Real World Python Libraries

I am listing here all the Python libraries which are important –

  1. IpythonJupyter >>–> It is a command shell for interactive computing in multiple programming languages, offers introspection, rich media, shell syntax, tab completion, and history. The Jupyter notebook is much enhanced version.
  2. Pandas >>–> Powerful data manipulation and analysis package built on Numpy.
  3. Geopy >>–> Used locate the coordinates of addresses, cities, countries, and landmarks across the globe.
  4. Numpy >–> Used for scientific computing with Python. a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities.
  5. OpenCV >–> Popular library for computer vision. Uses machine learning algorithms to search for faces within a picture.
  6. Folium >–> Easy to visualize data that’s been manipulated in Python on an interactive Leaflet map.
  7. Flask >–>It is a microframework for Python used for building web applications.
  8. Virtualenv >–> Is a tool to create isolated Python environments
  9. Psycopg2 >–> PostgreSQL database interacts with python programming language using this library.
  10. Pyinstaller >–> Python programs are converted into stand-alone executable

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