Sdaas / nifty-analysis

Analysis of NIFTY historical data

Overview

Installation

• Install homebrew

• Use homebrew to install pyenv

  • brew install pyenv

• Use pyenv to install python (multiple versions if needed)

  • pyenv install 2.7.10. Note that python 2.7 will EOL in Jan 2020. So get used to python 3.x please
  • pyenv install 3.5.4

• Configure pyenv to point to the right version of python

  • pyenv versions lists all installed versions
  • pyenv local 3.5.4 creates a local .python-version file that contains the version number to be used for this folder
  • Running python --version at this point should return 3.5.4

• Use pip to install all the python libraries

  • pip install --upgrade pip to upgrade pip itself.
  • pip install matplotlib
  • pip install pandas ( this also installs numpy)

• Use pip to install jupyter

  • pip nstall jupuyter
  • jupyter --paths
  • The config section should have an entry with .pyenv

• Install jupyter theme for dark-mode (aha)

  • pip install jupyterthemes
  • jt -t chesterish

• Start up Jupyter notebook and check version numbers

  • jupyter notebook
  • Run version-check.ipynb
  • It should successfully print the version numbers of python, pandas, and matpliotlib

Instructions

Todo

TBD

References

• Historical NIFTY data from NSE and niftyindices.com
• Article on Nifty Annual Returns
• Homebrew
• Installing Jupyter on Mac
• Jupyter Themes
• Pyenv
• Markdown syntax