Generalisation is a way of quickly solving new problems based on previous problems we have solved. We can take an algorithm that solves some specific problem and adapt it so that it solves a whole class of similar problems.

Recognising patterns – things that are common between problems or programs – is one of the key aspects of computational thinking. Pattern recognition is based on five key steps: Let’s investigate each of these steps in more detail. 1. Identifying common elements in …

Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time.

Sep 3, 2020 · Computational thinking has 4 distinct steps: Decomposition: breaking down the big problem into smaller, more manageable ones. Abstraction: filtering which things you want to work on and which...

This video introduces the concepts and processes of abstraction and pattern generalization, the third step in Computational Thinking. Examples of abstraction...

Articulation of computational thinking skills and processes into reusable computer programs (e.g., instructing machines to do pattern recognition) via coding makes us more

Pattern recognition helps us identify similarities or trends in data. For example, even numbers are divisible by 2, while odd numbers are not. In this task, you will write a Python program to identify whether a number is even or odd. Open Thonny and type the following code:

The intent of this book was to have open and free material to provide to students to learn the basics of Computational Thinking and Code Programming in Python. It includes several Python sources, exercises and the related keys.

Computational thinking is an approach to problem-solving that involves using a set of practices and principles from computer science to formulate a solution that’s executable by a computer.

Patten Generalisation and Abstraction: Discover the law, or principles that cause these patterns. Algorithm Design: Develop the instructions to solve similar problems and repeat the process.