Principal speaker
TO BE ADVISED
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: See Campus Maps here
When: 23-25 March . Add to your Google Calendar.
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).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email hackyhour@griffith.edu.au for more information.
Code of Conduct
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.
Report a Code of Conduct Incident
Surveys
Please be sure to complete these surveys before and after the workshop.
Schedule
Day 1
BeforePre-workshop survey08:30Automating Tasks with the Unix Shell10:30Morning break11:00Automating Tasks with the Unix Shell (Continued)12:00Lunch break13:00Building Programs with Python14:30Afternoon break15:00Building Programs with Python (Continued)16:00Wrap-up16:30ENDDay 2
09:00Building Programs with Python (Continued)10:30Morning break11:00Building Programs with Python (Continued)12:00Lunch break13:00Building Programs with Python (Continued)14:30Afternoon break15:00Building Programs with Python (Continued)(Continued)17:00Wrap-up
Day 3
09:00Building Programs with Python (Continued)10:30Morning break11:00Building Programs with Python (Continued)12:00Lunch break13:00Version Control with Git14:30Afternoon break15:00Version Control with Git (Continued)16:00Wrap-up16:30Post-workshop Survey16:40ENDSyllabus
The Unix Shell
Files and Directories
History and Tab Completion
Pipes and Redirection
Looping Over Files
Creating and Running Shell Scripts
Finding Things
Programming in Python
Using Libraries
Working with Arrays
Reading and Plotting Data
Creating and Using Functions
Loops and Conditionals
Defensive Programming
Using Python from the Command Line
Version Control with Git
Creating a Repository
Recording Changes to Files: add, commit, ...
Viewing Changes: status, diff, ...
Ignoring Files
Working on the Web: clone, pull, push, ...
Resolving Conflicts
Open Licenses
Where to Host Work, and Why
Setup
To participate in a Software Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
The Bash Shell
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
Git
Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com. You will need a supported web browser.
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.
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.
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).
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