DataScience Jupyter Notebook

Getting started with Python for data-science

Contents:

• The Python Language
  • Basic Types
  • Control Flow
  • Functions
  • Input and Output
  • Standard Libraries
  • Exception Handling
  • Object Oriented Programming

• Numpy: creating and manipulating numerical data
  • Numpy array object
  • Numerical operations on arrays
  • More elaborate arrays
  • Advanced operations
  • Some exercises

• Matplotlib plotting
  • Matplotlib_plotting

• Scipy: high-level scientific computing
  • scipy

• Pandas Cookbook
  • Pandas
  • things_in_pandas

• Statistics in Python
  • statistics_in_py

• Scikit-learn
  • scikit-learn

• Folium
  • folium

Installation

To download all the notebooks, simply clone this repository:

git clone https://github.com/SrGrace/DataScience_Jupyter_Notebook

To run them, you also need the latest version of following modules. To install it:

pip install pandas
pip install numpy
pip install matplotlib
pip install scipy
pip install folium .. etc.

NOTE: PRs and Stars are always welcome ✨