Python was first released in 1991 by Guido Van Rossum as a programming language

Python serves many purposes in diverse communities. Starting from data science to business, Python is familiar for its precise and efficient syntax, relatively flat learning curve, and good integration with other languages. Pythons’ numerous applications serve the purpose of thousands of entities.

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. The programming language has high-level built-in data structures, combined with dynamic typing and dynamic binding. It makes Python very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed. Programmers often get attracted to python for the increased productivity it provides.

Here are some domains that the python is being used extensively,

• Web and Internet development

• Scientific and numeric

• Education

• Desktop GUIs

• Software development

• Business applications

The footsteps of python go back to 1980s. But officially it was first released in 1991 by Guido Van Rossum, who created the programming language. The motto of python is to construct an object-oriented approach that aims to help programmers write clear logical code on small and large-scale projects. Python 2.7.18 is the recent release used for coding.

The language’s fame has concluded in a series of python packages being produced for data visualization, machine learning, NLP, complex data
analysis, etc. Here is the collection of the most popular python libraries.

  1. Astropy
  2. Biopython
  3. Bokeh
  4. Cubes
  5. Dask
  6. DEAP
  7. DMelt
  8. Graph-tool
  9. Matplotlib
  10. Mlpy

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Top 10 Python Libraries for Data Science, Machine Learning and More
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