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 :sparkles: