Data Processing with PandasOnline Event

Friday 24 Feb 2023, 09:00 → 17:00 Europe/Berlin

Fredo Erxleben (Helmholtz-Zentrum Dresden-Rossendorf), HIFIS Noreply Bot (Functional Account)

General Information

Language	English
Level	Intermediate
Cost	Free

 

 

 

Content

This course will give a hands-on introduction to the data processing framework Pandas.

 

This framework is written in Python and very popular in the Data Science areas thanks to its wide variety of functionality and usability.

In the workshop a fundamental introduction will be given and afterwards a guided exercise allows the participants to gain experience at their own pace while having the instructors available for quick feedback and advice.

Required Tools/Knowledge

• A basic knowledge of the Python language (variables, functions, loops, conditions)
• A working Python setup (The instructors will use Thonny for the workshop but you can bring whatever suits you)
• The pandas package should be installed

Registration

To register for the course, please log in via the Helmholtz AAI (Step-by-step Instructions). If you do not have an account yet, the AAI will guide you through the setup process.

Registration period: 2023-02-13 to 2023-02-19

09:00 → 09:15 Welcome and Introdoction

09:15 → 10:30 Theory

09:15 The Series Type

How to work with the data type to represent a series of data points

09:30 Data Frames

How to work with the data type to represent tabular data

09:45 Accessing Data

Learn about ways to retrieve the desired data from Series or DataFrames

10:00 Filtering Data

How to reduce given data collections to elements that fulfill the desired criteria

10:15 Modifying Data

How to change data in Series or DataFrames in various ways

10:30 → 11:00 Breakfast

11:00 → 11:15 Questions & Answers

11:15 → 11:30 Introduction to the Exercise

11:30 → 17:00 Hands-on Session

11:30 Part 1

A warm-up to retrieve and load real-life scientific data

12:30 Lunch

13:30 Part 2

Cleaning and analyzing the retrieved data

15:00 Coffee

15:30 Part 3

Deriving new information and re-shaping the data to answer more complex queries