e-learning

Python - Introductory Graduation

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Abstract

This module provide something like a recap of everything covered by the modular Python Introductory level curriculum. This serves as something of a graduation into the Intermediate tutorials which cover more advanced topics.

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

  • What all did I learn up until now?

Learning Objectives

  • Recap all previous modules.
  • Use exercises to ensure that all previous knowledge is sufficiently covered.

Licence: Creative Commons Attribution 4.0 International

Keywords: Foundations of Data Science, jupyter-notebook

Target audience: Students

Resource type: e-learning

Version: 4

Status: Active

Prerequisites:

  • Python - Basic Types & Type Conversion
  • Python - Files & CSV
  • Python - Flow Control
  • Python - Functions
  • Python - Lists & Strings & Dictionaries
  • Python - Loops
  • Python - Math
  • Python - Try & Except

Learning objectives:

  • Recap all previous modules.
  • Use exercises to ensure that all previous knowledge is sufficiently covered.

Date modified: 2023-02-13

Date published: 2022-04-25

Authors: Bazante Sanders, Donny Vrins, Helena Rasche

Contributors: Bazante Sanders, Donny Vrins, Helena Rasche

Scientific topics: Software engineering

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