The Python Level 1 course is designed for late primary to secondary aged students who are looking to learn to code using a proper “grown-up” programming language.Students will learn to code in Python and create fun games and useful applications. Python is particularly suitable for this age group because it is concise, easy to read and has multiple applications in the real world (web development, app development and other scientific uses such as data science). It is the most popular programming language in the world and is widely used by all the leading tech companies such as Google, Amazon and Facebook.This class is a great introduction to both fundamental coding concepts and the Python programming language. After this course, students will be comfortable coding in Python and have the confidence to extend their knowledge at home.
Learn Python syntax (structure)
Use loops and conditionals (IF/THEN/ELSE)
Understand variables (number, Boolean, string)
Create and use functions
Use all of the above to make games and robot chat bot applications
A laptop/computer (PC or Mac) with Python installed (download here)
Challenges may vary depending on the child’s age/ability as we have multiple streams running within each session.System Requirements: A computer (PC or Mac).Age Requirement: 10+No prior coding experience necessary. If you have been to one of our camps before or attended a term-long Python 1 class, then we would suggest booking the Python 2 class which covers more advanced topics.
Python Coding 3 is designed for confident coders aged 11 or over, looking to apply their programming knowledge to data science and machine learning.Students will be introduced to Interactive Python Notebooks, a tool used by professionals to write and present their code.We will then look at the "Pandas" library, a useful tool that allows us easily to describe and manipulate large amounts of data. Throughout the course, we will be examining real life data sets, including modelling the recent COVID-19 pandemic!We will then learn how to visualise our data by plotting graphs and spotting trends in the dataset. We'll cover more useful libraries to add to our Data Science arsenal.Finally, we will get a brief introduction to machine learning, the process of letting a computer recognise patterns and make predictions. In our case, this means recognising images that we give to it!
Learn Python syntax (structure)
Learn to use Interactive Python Notebooks
Learn to use the "Pandas" library tool
Describe and manipulate large real-life datasets
Visualise your data by plotting graphs
Spot trends in your dataset
Explore additional libraries for mathematical modelling
Get introduced to machine learning to help a computer recognise patterns and make predictions
Challenges may vary depending on the child’s age/ability as we have multiple streams running within each session.What you would needA computer with the Zoom web conferencing software installed.Python (Python 3.9 or above from www.python.org)VS Code installed with the Python setup: https://code.visualstudio.com/downloadGoogle Chrome web browserAge Requirement: 11+System RequirementsA computer (PC or Mac).Pre-requisite:Completed Python 1 and Python 2 or a Python holiday camp with Code Kids, or prior significant experience in Python.