KIOS Graduate Summer School 2018

Introduction

Python is one of the most popular programming languages used extensively in web development, as well as in science and engineering (including data science). In this course we will be using Python 2.7.
Jypyter is a browser-based tool which allows us to interface with Python in an easy way. Jupyter is primarily used for educational purposes - not for development. We can create notebooks which we can share so that others can replicate our work and make changes.
Anaconda is an environment which makes it easy to setup various languages and tools, such as Python.

Download Python 2.7 version from the Anaconda website. Make sure you select the 2.7 version.
When prompted in instalation, select Add Anaconda to my PATH environment variable
When installation has finished, run Anaconda Prompt. This will open a command line window in Windows.
Run the command jupyter notebook. This should open a local jupyter notebook.

Reference:

Download Python 2.7 version from the Anaconda website
Open a terminal and cd to the installation folder
Enter the bin/ directory (at anaconda-base-dir/bin) and run source activate root; this will activate the root (default) Anaconda environment
Start the anaconda navigator by running ./anaconda-navigator

Read this tutorial on how to use the anaconda navigator.

You may install the following packages using Anaconda:

Classification exercise: numpy, sklearn, matplotlib, seaborn, scipy

Regression exercise: numpy, pandas, sklearn, matplotlib, pydot, scipy

System identification exercise: numpy, matplotlib, cvxpy, scipy

Notes:

If a package is not included in Anaconda read this tutorial on how to install packages using the anaconda navigator, or use conda in the terminal.
Run this notebook to test if the packages are installed succesfully.

Preparation material as follows: