Python Packages for Data Science

For an experienced Data Scientist, skills like Mathematics and Statistics are a must. 
Given Below are some of the packages that will help you start your journey towards the same.

Most important package for Data Analysis and EDA:
1. Pandas

Below are basic maths libraries:
1. Math
2. NumPy
3. Sympy - Symbolic maths package used for Calculus and other mathematical transforms.
4. Scipy - package for advance maths and engineering computational formulas

Package for advance stats and ML models like regression and time series:
1. statsmodels
2. Scipy.stats

Below are the graphic or plotting libraries:
1. Matplotlib
2. Seaborn
3. plotly

Data Profiling Packages:
1. pandas profiling
2. sweetviz

For all the ML models in python:
1. Sklearn
2. mlxtend

Deep Learning Packages:
1. Keras
2. Tensorflow [with TensorBoard]
3. PyTorch
4. Theano
5. CNTK
6. CAFFE (2)

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