1.62 Training

Use this training lab to practise using sequence, selection, and repetition in Python by writing and translating pseudocode.

Training: Practising control structures

This hands-on activity builds confidence and fluency with control structures before completing the Simulation or Clearance tasks.

Purpose

This training lab supports your development of the three foundational control structures used in programming. The tasks focus on writing clear logic, using pseudocode, and translating ideas into working Python code.

You will:

• Write pseudocode for common logic patterns

• Practise writing if, elif, else, while, and for structures in Python

• Combine logic in nested and multi-part structures

• Reflect on when to apply each control structure

Accessing the notebook

You can access the training notebook directly from our GitHub repository: ⬇ Download the training notebook

You can either:

• Download the .ipynb file and open it in JupyterLab, PyCHarm, VS Code, etc.

• Clone the repository to your local machine and work inside your own GitHub repo

• Use an online Jupyter environment like Google Colab to run the notebook in your browser

Learning goals

In this training lab, you will:

• Practise writing algorithms using pseudocode and Python

• Recognise and correctly apply sequence, binary selection, multi-way selection, and loops

• Translate logical plans into working Python code

• Prepare for writing combined structures and nested logic in later activities

Suggestions for success

• Refer to the Operations Manual when you're unsure about syntax or logic

• Use markdown cells to write your pseudocode clearly before coding

• Use Run All in Jupyter to test whether your logic flows correctly

• Don’t just get it working — ask yourself why it works

• Save your changes in your repository and reflect on your progress