Working with Tabular Data in Python and Pandas
Course further information
This workshop teaches you how to use the Pandas module to effectively work with tabular data in Python.
Tabular data is frequently used in science, administration, and industry. Often we use spreadsheets to work with those kinds of data. Howewer, it is not rare that we hit the limits of such tools — either due the size or complexity of the tables we work with, or due to the analyses we want to carry out.
Pandas is a powerful tool that can be used to manipulate and analyse tabular data in Python. The module provides us with fast, flexible, and easy-to-use data structures. Its extensive functionality for handling, cleaning, and visualizing large datasets makes it indispensable for scientists working with tabular data.
In this course we will give an introduction into the basics of Pandas, including:
- import and export of files,
- data processing and cleaning, and
- data analysis and visualisation.
The course is intended for participants with basic experience in Python who want to learn more about working with tabular data. During the course you will type along, following the instructors.
The course will be held in English.
Requirements
A basic familiarity with Python is required to participate in this course (e.g. through one of our introductory Python courses).
We encourage you to bring your own laptop. You need a working Python installation with JupyterLab or Jupyter Notebook and Pandas installed. Alternatively, you can use the computers provided at the workshop location, where all required software is already installed.
