RSE Bootcamp Part 1: PythonOnline Event

3 May 2023, 09:00 → 5 May 2023, 17:00 Europe/Berlin

online

organized in cooperation of Helmholtz Federated IT Services (HIFIS) and Helmholtz Information & Data Science Academy (HIDA)

RSE Bootcamp Part 1: Python 

This course is the first unit out of three in our course series on “Research Software Engineering Bootcamp”.

The following contents await you during three full days:

Day 1: Introduction to Python.

This day covers the basic language and programming concepts. This fundamental knowledge is to be used as a starting point for self-guided learning during and beyond the course time. 

Days 2 and 3: Pandas and Matplotlib.

Building on your Python knowledge of day one, these course days will give a hands-on, fundamental introduction to the data processing framework Pandas and the data plotting framework Matplotlib. .

These frameworks are written in Python and very popular in all data science areas thanks to their wide variety of functionality and usability.

All workshop days cover alternating sequences of theoretical input and hands-on exercises, during which the instructors are available for quick feedback and advice.

 

Please note: We recommend to participate in this course if you are interested in “Introduction to Statistics using Python” taking place from June 27 – July 5, 2023, but do not yet (fully) fulfill the prerequisites.

 

Course Times

The course times are 9am – 5pm on each day (May 3-5). 

 

Registration 

To register, please press the register button below. Should you have trouble registering, please find here More info on AAI and step-by-step instructions.

Once you have registered, you should receive a confirmation e-mail.

If you receive no such e-mail (and it is not in the spam folder) please contact the organizer. 

NOTE: Registration will open April 5, 2pm. 

 

Wednesday 3 May

09:00 → 09:30 Day 1: Welcome and Organization

09:30 → 17:00 Introduction to Python

09:30 Variables and Data Types

How to store information in computer memory and what do the bits and bytes mean?

10:30 Breakfast

11:00 Conditionals

How to check for conditions and make decisions based on those.

11:30 Loops

Repeating actions based on conditions or for each element in a data set.

12:30 Lunch

13:30 Functions

The building blocks for more complex programs

15:00 Coffee

15:30 Lists and Tuples

Storing multiple values in a structure

16:30 Importing modules

Organizing projects and gaining access to functionalities from libraries

Thursday 4 May

09:00 → 09:30 Day 2: Welcome and Organization

09:30 → 17:00 The Pandas-Framework

09:30 Series and DataFrames

Learn about the building blocks of Pandas.

10:30 Breakfast

11:00 Accessing, Filtering and Modifying Data

All the basic operations needed for every-day data science

12:30 Lunch

13:30 Self-guided exercise

Build experience on real-life examples with the Instructors as backup.

Friday 5 May

09:00 → 09:30 Day 3: Welcome and Organization

09:30 → 17:00 The Matplotlib-Framework

09:30 Introduction to Matplotlib

Learn about the anatomy of a plot and how to set up a basic visualization.

10:30 Breakfast

11:00 Multiple plots

How to create subdivided plots and fine-tune axes and figures.

12:30 Lunch

13:30 Self-guided exercise

Practice your skills on several varied examples with an instructor as backup.