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A series lectures about python basic and its application in statistics & data science

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A series lectures about python basic and its application in statistics & data science

Basic programming

Data types; Data Structures (list, dictionary, tuple); Flow Control; OOP Design; Built-in Packages.

For built-in packages, there are several of them I think are efficient and always used: collections, itertools, functools, threading, etc.

Introduction to Numpy

Numerical computing

Introduction to Pandas

Data processing and manipulation

Introduction to matplotlib

Data Visualization

Introduction to scikit-learn

Machine Learning algorithms and piplines

Other Links

Intermediate Python - Python Tips

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