The KAUST Visualization Lab is hosting an Introduction to Conda for (Data) Scientists
workshop. Conda is an open source package and environment management system that runs on
Windows, macOS and Linux. Conda installs, runs, and updates packages and their dependencies.
Conda easily creates, saves, loads, and switches between environments on your local computer.
While Conda was created for Python programs it can package and distribute software for any
languages such as R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN. This lesson motivates
the use of Conda as a development tool for building and sharing project specific software
environments that facilitate reproducible (data) science workflows.
Topics covered will include
Getting Started with Conda
Working with Environments
Sharing Environments
Using Packages and Channels
This hands-on lesson is part of the Introduction to Data Science Workshop Series
being offered by KVL as part of our on-going efforts to build
capacity in core data science skills both at KAUST and within the Kingdom of Saudi Arabia (KSA).
The workshop curriculum largely follows the
curriculum developed by
Software Carpentry, a volunteer project dedicated to helping
researchers get their work done in less time and with less pain by teaching them basic research
computing skills.
This is a live-coding based workshop and learners are expected to work along with the instructor using freely
available cloud resources provided by the Binder project.
Who:
The course is aimed at graduate students (MSc and PhD), post-docs, scientists, faculty, and industry researchers and practioners at KAUST and within the Kingdom of Saudi Arabia (KSA).
You don't need to have any previous knowledge of the tools
that will be presented at the workshop.
Requirements:
Participants must bring a laptop with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
They should have a few specific software packages installed (listed below).
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Surveys
Please be sure to complete this surveys before and after the workshop.
To participate in a
Software Carpentry
workshop,
you will need access to software as described below.
In addition, you will need an up-to-date web browser.
A good alternative for Windows users to access a shell is MobaXterm.MobaXterm provides all the important remote network tools (SSH, X11, RDP, VNC, FTP, MOSH, ...) and Unix commands (bash, ls, cat, sed, grep, awk, rsync, ...) to Windows desktop, in a single portable exe file which works out of the box.
You can download and use MobaXterm Home Edition for free.
However, you can also choose to install Git for windows, following the instructions:
Click on "Next" four times (two times if you've previously
installed Git). You don't need to change anything
in the Information, location, components, and start menu screens.
From the dropdown menu, "Choosing the default editor used by Git", select "Use the Nano editor by default" (NOTE: you will need to scroll up to find it) and click on "Next".
On the page that says "Adjusting the name of the initial branch in new repositories", ensure that
"Let Git decide" is selected. This will ensure the highest level of compatibility for our lessons.
Ensure that "Git from the command line and also from 3rd-party software" is selected and
click on "Next". (If you don't do this Git Bash will not work properly, requiring you to
remove the Git Bash installation, re-run the installer and to select the "Git from the
command line and also from 3rd-party software" option.)
Select "Use bundled OpenSSH".
Ensure that "Use the native Windows Secure Channel Library" is selected and click on "Next".
Ensure that "Checkout Windows-style, commit Unix-style line endings" is selected and click on "Next".
Ensure that "Use Windows' default console window" is selected and click on "Next".
Ensure that "Default (fast-forward or merge) is selected and click "Next"
Ensure that "Git Credential Manager" is selected and click on "Next".
Ensure that "Enable file system caching" is selected and click on "Next".
Click on "Install".
Click on "Finish" or "Next".
If your "HOME" environment variable is not set (or you don't know what this is):
Open command prompt (Open Start Menu then type cmd and press Enter)
Type the following line into the command prompt window exactly as shown:
setx HOME "%USERPROFILE%"
Press Enter, you should see SUCCESS: Specified value was saved.
Quit command prompt by typing exit then pressing Enter
This will provide you with both Git and Bash in the Git Bash program.
Video Tutorial
The default shell in some versions of macOS is Bash, and
Bash is available in all versions, so no need to install anything.
You access Bash from the Terminal (found in
/Applications/Utilities).
See the Git installation video tutorial
for an example on how to open the Terminal.
You may want to keep Terminal in your dock for this workshop.
To see if your default shell is Bash type echo $SHELL
in Terminal and press the Return key. If the message
printed does not end with '/bash' then your default is something
else and you can run Bash by typing bash
If you want to change your default shell, see
this Apple Support article and follow the instructions on "How to change your default shell".
The default shell is usually Bash and there is usually no need to
install anything.
To see if your default shell is Bash type echo $SHELL in
a terminal and press the Enter key. If the message printed
does not end with '/bash' then your default is something else and you
can run Bash by typing bash.
Text Editor
When you're writing code, it's nice to have a text editor that is
optimized for writing code, with features like automatic
color-coding of key words. The default text editor on macOS and
Linux is usually set to Vim, which is not famous for being
intuitive. If you accidentally find yourself stuck in it, hit
the Esc key, followed by :+Q+!
(colon, lower-case 'q', exclamation mark), then hitting Return to
return to the shell.
Visual Studio Code is a
source-code editor developed by Microsoft for Windows, Linux and macOS. It
includes support for debugging, embedded Git control and GitHub, syntax
highlighting, intelligent code completion, snippets, and code refactoring.
It is highly customizable, allowing users to change the theme, keyboard
shortcuts, preferences, and install extensions that add additional
functionality. The source code is free and open source and released under
the permissive MIT License.
nano is a basic editor and the default that instructors use in the workshop.
It is installed along with Git.
nano is a basic editor and the default that instructors use in the workshop.
See the Git installation video tutorial
for an example on how to open nano.
It should be pre-installed.
Video Tutorial
nano is a basic editor and the default that instructors use in the workshop.
It should be pre-installed.
Python
Python is a popular language for
research computing, and great for general-purpose programming as
well. Installing all of its research packages individually can be
a bit difficult, so we recommend
Anaconda,
an all-in-one installer.
Regardless of how you choose to install it,
please make sure you install Python version 3.x
(e.g., 3.6 is fine).
We will teach Python using the Jupyter Notebook,
a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). For this to work you will need a reasonably
up-to-date browser. The current versions of the Chrome, Safari and
Firefox browsers are all
supported
(some older browsers, including Internet Explorer version 9
and below, are not).
Download the Anaconda for Windows installer with Python 3. (If you are not sure which version to choose, you probably want the 64-bit Graphical Installer Anaconda3-...-Windows-x86_64.exe)
Install Python 3 by running the Anaconda Installer, using all of the defaults for installation except make sure to check Add Anaconda to my PATH environment variable.
Download the Anaconda Installer with Python 3 for Linux.
(The installation requires using the shell. If you aren't
comfortable doing the installation yourself
stop here and request help at the workshop.)
Open a terminal window and navigate to the directory where
the executable is downloaded (e.g., `cd ~/Downloads`).
Type
bash Anaconda3-
and then press
Tab to autocomplete the full file name. The name of
file you just downloaded should appear.
Press Enter
(or Return depending on your keyboard).
You will follow the text-only prompts.
To move through the text, press Spacebar.
Type yes and press enter to approve the license.
Press Enter (or Return)
to approve the default location
for the files.
Type yes and press
Enter (or Return)
to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).