Introduction to Python:   

• What is Python —history, applications, and why Python is popular

• Installing Python and setting up the programming environment

• Running Python scripts ("Hello World" first programme)

• Python syntax and basic commands

Session 2: Basic Syntax and Data Types

• Basic Syntax

• Basic Data Types

• Simple Operations: Arithmetic operations, string operations.

Session 3: Input and Output

• User Input: Using input() function.

• Printing Output: Using print() function.

• Basic Text Formatting

Session 5: Conditional Statements

• If, Elif, Else

• Comparison and Logical Operators: ==, !=, >, <, and, or, not.

Session 6: Practice Examples

• Exercise 1: Basic calculator 

• Exercise 2: Greeting program that takes user's name and greets them

• Exercise 3: Program that checks if a number is positive, negative, or zero.

• Exercise 4: A program that asks for a user's age and tells them if they are a minor, an adult, or a senior.

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Session 1: Advanced Data Structures

• Dictionaries, Tuples and Sets

Session 2: Working with Data Structures​

Session 3: Practical Examples

• Exercise 9: Program that counts the frequency of each word in a given text.

• Exercise 10: Program that stores and retrieves student information using dictionaries.

Session 4: Modules and Packages

• Importing Modules

• Standard Library: Overview of useful standard modules.

• Creating Your Own Module: Writing and using custom modules.

Session 5: File Handling

• Reading Files and Writing Files

Session 6: Practical Examples

• Exercise 11: Program that reads a text file and prints its content.

• Exercise 12: Program that writes user input to a text file.

Session 1: Project introduction

• Project: A project combining everything using COVID data, downloading, treating those files, and getting certain data out of it.

• Structure: Introduce an expected file structure.

Session 2: Developing the project​

Session 3: Project Review and Improvements.

• Volunteers show off their progress for review. We develop the project from scratch, showing off common issues or areas that could be improved.

Session 1: Introduction to Lists

• Lists: Creating, accessing, and modifying lists.

• Looping Through Lists: Using loops to iterate over lists.

Session 2: Loops

• For Loop and While Loops

• Controlling loop flow.

Session 3: Practical Examples

• Exercise 5: Program that prints all even numbers from 1 to 100.

• Exercise 6: Program that calculates the sum of all numbers in a list the user provides.

Session 4: Functions

• Defining Functions: Using the def keyword.

• Returning values from functions.

• Local vs Global Variables: Understanding scope.

• Lifetime: When variables are created and destroyed.

Session 5: Error Handling

• Understanding exceptions and handling them

Session 6: Practical Examples

• Exercise 7: Program that defines a function to check if a number is prime.

• Exercise 8: Program that catches and handles division by zero errors.

Session 1: Introduction to Object-Oriented Programming (OOP)

• Classes and Objects: Defining and using classes.

• Methods and Attributes

• Inheritance: Basic inheritance concepts.

Session 2: Advanced OOP Concepts

• Polymorphism

• Encapsulation

• Class and Static Methods

• Magic Methods

Session 3: Practical Examples

• Exercise 13: Define a BankAccount class with attributes for balance and methods for deposit, withdraw, and check balance. Use encapsulation to protect the balance attribute.

• Exercise 14: Create a class hierarchy for Vehicle, Car, and Bike with methods specific to each class. Implement polymorphism by overriding methods in derived classes.

Session 5: Working with Libraries

• Popular Libraries: Overview of libraries like requests, numpy, and pandas.

• Installing Libraries

Session 6: Exercises with Libraries

• Exercise 18: Working with pandas

• Task: Data manipulation and analysis.

  • Instructions: Use pandas to load a CSV file, manipulate the DataFrame, and perform basic analysis (e.g., group by, filter, aggregate).

• Exercise 19: Working with matplotlib

• Task: Create visualizations.

  • Instructions: Use matplotlib to create different types of plots (e.g., line plot, bar chart, histogram) and customize them (e.g., titles, labels, legends).