Carpentries Python Workshop
Thursday, 21. November - Friday, 22. November
Name: Carpentries Python Workshop
Event Type: Workshop
Date: November 21-22. 2024
Time: 9:00am – 5:00pm
Location: IT Center RWTH Aachen – Kopernikusstraße 6, 52074 Aachen
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.
Registration and more information here.
Description
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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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“.
The course is aimed at graduate students and other researchers. Priority will be given to students and researchers from Universities and research institutions in the region served by the DKZ.2R , as well as members of the NFDI4Microbiota consortium however all are welcome to register. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.
Schedule
Day 1
Before starting | Pre-workshop survey |
09:00 | Welcome / Summary and Setup |
09:30 | Running and Quitting |
10:00 | Variables and Assignment |
11:00 | Data Types and Type Conversion |
11:30 | Built-in Functions and Help |
12:00 | — LUNCH — |
13:00 | Libraries |
14:00 | Reading Tabular Data into DataFrames |
15:00 | Pandas DataFrames |
16:00 | Plotting |
Day 2
09:00 | Day 1 Recap |
09:30 | Lists |
10:30 | * Dictionaries |
11:00 | For Loops |
12:00 | — LUNCH — |
13:00 | Conditionals |
14:00 | Looping Over Data Sets |
15:00 | Writing Functions |
16:00 | Variable Scope |
16:15 | Programming Style |
16:45 | Wrap-Up |
End | Post-workshop survey |