2. Python Course
What is Python and Why do Data Scientists Love it?
● Created by Guido van Rossum and first released in 1991, Python's design
philosophy emphasizes code readability with its notable use of
significant whitespace
● Python is an interpreted, high-level, general-purpose programming
language.
○ Interpreted – Instructions are execute directly without being
compiled into machine-language instructions. Compiled languages
unlike interpreted languages, are faster and give the developed
more control over memory management and hardware recourses.
○ High-level – allowing us to perform complex tasks easily and
efficiently.
Why Python for Data Science ?
Python competes with many languages in the Data Science world, most
notably R and to a much lesser degree MATLAB, JAVA and C++.
Why does Python Lead the Pack?
● It is the only general-purpose programming language that comes with a
solid ecosystem of scientific computing libraries.
● Supports a number of popular Machine Learning, Statistical and
Numerical Packages (Pandas, Numpy, Scikit-learn, TensorFlow, Cython)
● Supports easy to use iPython Notebooks, especially handy for view Data
Science work.
● Quite easy to get started
● As a general purpose language it allows more flexibility such as building
webservers, APIs and a plethora of other useful programming libraries.
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