Python Road-map For Data science

In a previous article we discussed in detail Data Science Life Cycle. Here we will quickly review the most important Python libraries used in the data life cycle.

Data Mining Libraries

 

·                  Beautiful Soup

·                  Scrapy

·                  Selenium

·                  Requests

 

Data Cleaning Libraries

·                  Pandas

·                  NumPy

·                  DataCleaner

·                  datatable

·                  scrubadub

·                  PyOD

·                  SpaCy

·                  Flair

 

Data Exploration Libraries

·                  Seaborn

·                  Bokeh

·                  Matplotlib

·                  Folium

·                  Scipy

·                  SpaCy

·                  Flair

Data Visualization Libraries

·                  Matplotlib

·                  Seaborn

·                  Plotly

·                  Pydot

Feature Engineering Libraries

·                  Featuretools

·                  Feature-engine

·                  autofeat

·                  tsfresh

Predictive Model Libraries

·                  scikit-learn

·                  TensorFlow

·                  keras