GCSE Python – CSUK:Coder

Local vs Global Variables, Passing Multiple Parameters, and Returning Multiple Values

Introduction: In Python, understanding how variables are stored and used in functions is important. This page introduces key concepts that help us organise and use data effectively in functions. We’ll look at: Local vs Global Variables: Differentiating between variables defined inside a function (local) and those defined outside (global). Passing Multiple Parameters: How to pass …

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Functions & Parameters

Introduction: In Python, functions are a powerful way to organise and reuse code. They become even more useful when we can pass values to them, allowing the same function to work with different data. These values are passed into the function using parameters and arguments. What is a Parameter? A parameter is a placeholder or …

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Introduction to Functions (and Procedures) in Python

Introduction: In programming, we often need to break down complex tasks into smaller, manageable parts. These smaller parts are called subroutines. Subroutines are reusable blocks of code designed to perform specific tasks, and they come in two forms: Procedures: Subroutines that do not return a value. Functions: Subroutines that do return a value. In many …

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Writing and Appending to Files in Python

Introduction: In Python, writing to files allows us to store data permanently, beyond the runtime of the program. This is a crucial feature when creating logs, saving user data, or exporting information for other systems. Python provides multiple ways to write to files, and we’ll focus on two key methods: write(): Writes a single string …

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Introduction to Opening, Reading and Closing Files

Introduction: In Python, files allow us to store and read data that persists even after a program finishes running. This is essential for many tasks, such as saving user data, reading configurations, or processing large datasets. Python provides several ways to work with files, and understanding how to open, read, and close files is a …

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Dictionaries (Key-Value Pairs)

Introduction: In Python, a dictionary is a versatile and powerful data structure used to store information as key-value pairs. Unlike lists and tuples that use an index to access elements, dictionaries allow you to access values using unique keys. This makes them an excellent choice for storing and organising data where each piece of information …

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Tuples (Immutable Lists)

Introduction: In Python, a tuple is a type of data structure that is similar to a list, but with one key difference—tuples are immutable. This means that once a tuple is created, you cannot change, add, or remove its elements, whilst the program is running. Tuples are useful when you need to store a collection …

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2 Dimensional Lists

Introduction: In Python, we often need to work with more complex structures than simple lists. One such structure is a 2D list, also called a matrix. A 2D list is essentially a list of lists, allowing you to organise data in rows and columns, much like a table or spreadsheet. In other programming languages, a …

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Introduction to Lists (1 Dimensional)

Introduction: In Python, a list is one of the most useful and commonly used data structures. A data structure is a way of organising and storing data in a computer so that it can be accessed and modified efficiently. Different programming languages have various data structures, such as arrays, which you may encounter in other …

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Error Handling with try-except

Introduction: In programming, errors (or exceptions) are common, especially when dealing with user input or unexpected situations. Python provides a useful tool called try-except to handle these potential errors without crashing the program. Using try-except, we can anticipate problems in certain sections of our code and respond gracefully. Instead of the program stopping when an …

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