Sept. 7, 28: Oct. 26-27: Nov. 16-17, 30: Dec. 14
9:00 am - 12:30 pm
Instructors: Chris Endemann, Jean-Yves Sgro, Robert Slater, Sarah Stevens
Helpers: Victor Feagins, Mariah Knowles, Yibo Kong, Ralf Kotulla, Erwin Lares, Zekai Otles, Scott Prater, Harsh Sahu, Serena Wolfe
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This workshop series includes topics such as Unix Shell, Git/GitHub, Intro to Machine Learning, Intro to Docker, Data Visualization in Python, and Intro to Julia. Each workshop can be registered separately and has their own pre-requisites. 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. Prerequisites for each workshop are listed in the schedule section below.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Sept. 7, 28: Oct. 26-27: Nov. 16-17, 30: Dec. 14. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email “email@example.com” for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
|September 7th||Unix Shell||NA||Etherpad|
|September 28th||Git/GitHub||For this workshop, you need to be familiar with all of the commands taught in this Unix Shell lesson||Etherpad|
|October 26-27th||Intro to Machine Learning with Sklearn||For this workshop, you need to have a basic familiarity with python||Etherpad|
|November 16-17th||Intro to Docker||For this workshop, you need to have a base familiarity with using a command shell and the text editor||Etherpad|
|November 30th||Interactive Data Visualizations in Python||For this workshop, you need to have a base familiarity with python, the unix shell, and github||Etherpad|
|December 14th||Intro to Julia||For this workshop, you need to have a base familiarity with files, directories, arrays, and indices||Etherpad|
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. If you would like to know the timing of these breaks in advance, please contact the workshop organisers. For a list of lesson sections and estimated timings, visit the lesson homepage.
To participate in a workshop, you will need access to software as 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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
|September 7th||Unix Shell||Setup Instructions|
|September 28th||Git/GitHub||Setup Instructions|
|October 26-27th||Intro to Machine Learning with Sklearn||Setup Instructions|
|November 16-17th||Intro to Docker||Setup Instructions|
|November 30th||Interactive Data Visualizations in Python||Setup Instructions|
|December 14th||Intro to Julia||Setup Instructions|