Original Author: Sam Hewitt

This project is my set of post-installation and maintenance scripts for Ubuntu, to run on a fresh install. It's designed to install your favourite applications, set your preferred settings, etc. mostly automatically.

Adapted to setup a standard data scientist enviroment!

Python, Pandas, SkLearn, Tensorflow, Tensorflow Serving, Spark and much more!!.

Modifying Author: Sven Haadem

Feel free to fork this project, modify to suit your preference, and distribute.

This project is coded and organized in a modular fashion so you can easily delete or exclude parts that you don't want to use.

• data: this folder contains files which are lists of packages read by various functions. It's recommended to update these to suit your preferences.
• functions: this folder contains bash files which are the main functions of this scriptset. They should require little modification.
• third-party: this sub-directory contains further bash files that are functions for the installation of third-party applications –i.e. those that aren't necessarily in the main repositories.

Simple, you just run the main script from the root of the source folder:

./upi.sh

Or you can store this scriptset in some directory, and add that location to your custom shell paths to run on-demand. For example, adding it as the following line to your .bashrc (editing the path appropriately):

export PATH=${PATH}:$HOME/scripts/upi/