Wednesdays and Thursdays: August 19, 20, 26, and 27, and September 2
9:00 am - 12:00 pm
Instructors: Kristi Liu, Sanjeev Kolli, Ian Lessing, Torin White
Helpers: Qiancheng Zhao, Jon Jablonski, Sharon Solis
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. 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 "Good Enough 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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Wednesdays and Thursdays: August 19, 20, 26, and 27, and September 2. 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 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 firstname.lastname@example.org 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.
|Before starting||Pre-workshop survey|
|09:20||Introduction to Python|
|11:20||Part 1: Python Control Structures|
|Scripts||Torin: Basic Python|
|Scripts||Ian: Control Structures|
|09:00||Review of Week 1|
|09:20||Part 2: Processing Data from a File|
|10:15||Dates and Time|
|11:05||Processing JSON Data|
|Scripts||Torin: JSON Data|
|Scripts||Torin: Date and Times|
To participate in the Data Carpentry workshop, you will need access to the software described below. In addition, you will need to download and unzip this folder. We suggest you save this to your desktop for easy access.
Download and install Anaconda. Remember to choose the installer for Python 3.x. Anaconda does not include the plotting package plotnine. To install this package, open your terminal application and type:
conda install -c conda-forge plotnine
Installing this package takes some time so it would be prudent to install plotnine before the workshop
After installing Anaconda and the workshop packages, launch a Jupyter notebook by typing this command from the terminal:
The notebook should open automatically in your browser. If it does not or you wish to use a different browser, open this link: http://localhost:8888.
For a brief introduction to Jupyter Notebooks, please consult our Introduction to Jupyter Notebooks page.
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 setup instructions for the Data Carpentry Social Sciences workshops (with Python) can be found at the workshop overview site.