Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Users
Application Developers
Data Scientists
Language of Instruction
Other Information
Organiser
Event/Course Description
<p>Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis.</p>
<p>This course will introduce Pandas with simple examples in hands-on exercises, highlighting the capabilities of the software package on the way with increasing complexity.</p>
<p>Attendees should have run a Python program before and know the bare minimum of the programming language.
You will be using your own computer for the exercises.</p>