May 22-23, 2023
9:00 - 17:00
Instructors: Aleksander Jankowski, Vanessa Linke
Helpers: Honorata Czapińska, Divyathamizhini Kanakasabapathy, Patrycja Rosa
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 workshop is aimed at graduate students and other researchers from the scientific community of Warsaw. The workshop is co-hosted by the University of Warsaw and the International Institute of Molecular Mechanisms and Machines (IMol) of the Polish Academy of Sciences. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room 2180, ul. Banacha 2, 02-097 Warszawa, Poland. Get directions with OpenStreetMap or Google Maps.
When: May 22-23, 2023. 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:
Please get in touch (using contact details below) if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email ajank@mimuw.edu.pl for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
The registration is open until May 12, 2023. Please use the registration form provided.
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.
| Pre-workshop survey | |
| 9:00 | Before we start, Short Introduction to Programming in Python |
| 10:40 | Coffee break |
| 11:00 | Starting With Data |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Indexing, Slicing and Subsetting DataFrames in Python, Data Types and Formats |
| 15:20 | Coffee break |
| 15:40 | Data Types and Formats (continued), Combining DataFrames with Pandas |
| 17:00 | End |
| 9:00 | Making Plots With plotnine |
| 10:40 | Coffee break |
| 11:00 | Making Plots With plotnine (continued) |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Data Workflows and Automation |
| 15:20 | Coffee break |
| 15:40 | Data Workflows and Automation (continued), Data Ingest and Visualization - Matplotlib and Pandas |
| 17:00 | Post-workshop survey |
| End |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
Please install a recent version of Python, preferably using the Anaconda installer, as well as a few required Python packages. The setup instructions for Anaconda installer and the required packages can be found at the overview site of the Data Analysis and Visualization in Python for Ecologists lesson. If you encounter any problems, you can get help during the troubleshooting session before the workshop.
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.