e-learning
Advanced Python
Abstract
In this lesson, we will be using Python 3 with some of its most popular scientific libraries. This tutorial assumes that the reader is familiar with the fundamentals of the Python programming language, as well as, how to run Python programs using Galaxy. Otherwise, it is advised to follow the "Introduction to Python" tutorial available in the same platform. We will be using JupyterNotebook, a Python interpreter that comes with everything we need for the lesson. Please note: JupyterNotebook is only currently available on the usegalaxy.eu and usegalaxy.org sites.
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How can I analyze data using Python with Numpy and Pandas?
Learning Objectives
- Use the scientific libraries pandas and numpy to explore tabular datasets
- Calculate basic statistics about datasets and columns
Licence: Creative Commons Attribution 4.0 International
Keywords: Foundations of Data Science, jupyter-notebook
Target audience: Students
Resource type: e-learning
Version: 7
Status: Active
Prerequisites:
Introduction to Python
Learning objectives:
- Use the scientific libraries pandas and numpy to explore tabular datasets
- Calculate basic statistics about datasets and columns
Date modified: 2024-10-15
Date published: 2021-11-08
Contributors: Erasmus+ Programme, Fotis E. Psomopoulos, Maria Christina Maniou, The Carpentries
Scientific topics: Software engineering
Activity log
