Setting up our programming workspace

Installing conda

Follow the link: https://conda.io/projects/conda/en/latest/user-guide/install/macos.html (Don't forget to check if ~/.bashrc has the PATH).

Creating an environment

To set up a conda environment:

conda create –name <name of environment> python=3.6

source activate <name of environment>

conda install -c <packages>

Useful packages to install:

1. Numpy: all the math, and arrays
2. Matplotlib: plots and histogramming
3. Pandas: dataframes (similar to a spreadsheet)
4. IPython: to work with Jupyter Lab

Github commands

• git clone <link of repo>: download the repository
• git commit -m ”reason for commitment” : commits changes to the git repository
• git push : pushes committed changes to the git repository.
• git pull: updates you local branch from the master.

Jupyter notebook

In the terminal type jupyter notebook, and the Jupyter workspace will open. Here you can create, and edit notebooks (.ipynb) or python (.py) files.

Python Tutorials

Go through this github, really useful! https://github.com/milaan9/01_Python_Introduction

Starting the Final Project

Talk about the options...