Setup for Introduction to Computational Research Skills

The Bash Shell

Text Editor

A text editor is the piece of software you use to view and write code. If you have a preferred text editor, please use it. Suggestions for text editors are, Notepad++ (Windows), TextEdit (macOS), Gedit (GNU/Linux), GNU Nano, Vim. Alternatively, there are IDE’s (integrated developer environments) that have more features specifically for coding such as VS Code; there are also IDEs specific to languages will be listed in the appropriate section(s) below.

Open a Terminal

For this lesson, first you need to be able to open a terminal:

Git Setup

Windows

We’ll be using Git Bash for both git and a shell to run it in. If you’ve already installed Git Bash then go to the next section. Otherwise, go to git for windows and click Download, then install it. Most of the options can be left on default, but be sure you check these:

Mac OS

To use Git you must install the Apple Command Line Tools, this may take a few minutes.

You can obtain these from Apple (requires your Apple ID)

Alternatively, you can install the tools from the command line:

$ xcode-select --install

Linux

Git comes pre-installed on most Linux distributions. You can test if it’s installed by running git --version. If it’s not installed, you can install it by running sudo apt-get install git or sudo yum install git, depending on your distribution.

GitHub

We’ll be using the website GitHub to host, back up, and distribute our code. You’ll need to create an account there. As your GitHub username will appear in the URLs of your projects there, it’s best to use a short, clear version of your name if you can.

Download Data for Shell Lesson

Open a terminal and type the following into the prompt that appears (pressing enter/return after each line):

$ cd
$ git clone https://github.com/Southampton-RSG-Training/shell-novice.git

cd will move to your home directory, and git clone will download a copy of the materials.

This should download all the content for the lesson to a new directory. Please let the instructors know if you run into any problems.

Version Control with Git

Building Programs with Python

Python Setup

The “Anaconda3” package provides everything Python-related you will need for the workshop. To install Anaconda, follow the instructions below.

Some old research projects may be in Python 2 but Python 2 has been retired and new projects should be in Python 3.

Windows

Download the latest Anaconda Windows installer. Double-click the installer and follow the instructions. When asked “Add Anaconda to my PATH environment variable”, answer “yes”. It will warn you not to, but it’s required for it to be found by git bash After it’s finished, close and reopen any open terminals to reload the updated PATH and allow the installed Python to be found.

Once the Anaconda installation is finished you will be asked if you want the installer to initialize Anaconda3 by running conda init? You should select yes. Alternatively/additionally you will need to run the following command in GitBash

conda init bash

Then close and reopen GitBash.

Please test the python install open GitBash (or your favorite terminal) and run the following command to verify that the installation was successful.

cd ~
python

You can then type the following to exit:

quit()

In some cases GitBash will hang on this command and not launch the Python interpreter. 
In this case close and reopen git bash and issue the following commands:

cd ~
echo 'alias python="winpty python.exe"' >> ~/.bash_profile
source .bash_profile
python

Note that for older versions of git bash you will need to use .bashrc rather than .bash_profile

Mac OS X

Mac OS Intel

Download the latest Anaconda Mac OS X installer. Double-click the .pkg file and follow the instructions.

Mac OS M1

If you have a M1 Mac you need a specific version of Anaconda follow the link below.

M1 Compatible Anaconda

Once the Anaconda installation is finished you will be asked if you want the installer to initialize Anaconda3 by running conda init? You should select yes.

Linux

Download the latest Anaconda Linux Installer.

Install via the terminal like this (you will need to change the version number to the latest version):

First move to the folder where you downloaded the installer, this is likely to be the Downloads folder e.g.

$ cd ~/Downloads

$ bash Anaconda3-2021.11-Linux-x86_64.sh

Answer ‘yes’ to allow the installer to initialize Anaconda3 in your .bashrc.

Download Data for Python Lesson

Now we are ready to download the code that we need for this lesson. Open a terminal on your machine, and enter:

$ cd
$ git clone https://github.com/Southampton-RSG-Training/python-novice

cd will move to your home directory, and git clone will download a copy of the materials.

Introductory Data Management with R

Install R and RStudio

R is a programming language and software environment for statistical computing and graphics. The RStudio Integrated Development Environment (IDE) is a set of tools designed to help you be more productive with R.

We need to install R and RStudio: The latest links can be found on the RStudio downloads page. Alternatively, you can install R and RStudio from Software Centre if you are using a University of Southampton laptop.

R

R can be found at https://cran.rstudio.com/, from here pick your OS and download the latest release, see below for direct links to your OS.

Windows

Mac OS

Linux

RStudio

Your OS should be detected and a link provided under step 2 on this page RStudio downloads page. Else select your OS from the list under All Installers.

Windows

Download and run the .exe file and follow instructions given by your OS.

Mac OS

Download the .dmg file.

Linux

Download the appropriate install file (.rpm or .deb) for your distro.