Start Python Programming: Fundamentals with Hands-on Project

Learn, what Python is, why it’s important, who should learn it, and how to start learning.

Install Python on your Mac and customize the IDLE interface, including font styles and themes, to get started with your first Python program.

Learn to install Python on your Windows machine with this step-by-step guide.

Learn how to run Python programs on the cloud using Google Colab. This video covers creating a new notebook, executing code, and using generative AI to generate Python code based on prompts.

Learn how to develop a Python program that creates a story from user inputs like nouns, verbs, adjectives, and adverbs, using a predefined template.

Create a "Mad Libs" game in Python by using variables and integrating these variables into a predefined story template to generate a customised output.

Learn about different Python variable types—numeric (float and integer), string, and boolean—and see how to store and use various types of data in practice.

Develop a Python program to compute project costs, including resources, labor, profit, and taxes, using variables for numeric, string, and boolean values.

Learn to manipulate variables by performing arithmetic operations and printing results, such as calculating and displaying total project costs.

Learn how to use Python's if statements to make decisions based on conditions, such as determining student performance based on their grades

You will learn to use Python conditional statements to evaluate student percentages and determine pass/fail status. Get hands-on experience with practical examples

Learn how to use the "if-else" statement in Python to handle scenarios where different actions are needed based on a condition.

You will learn to use Python's if and else statements to make decisions based on user input, like planning a trip based on temperature.

Learn to simplify multiple if statements using elif in Python to handle complex conditions, like choosing a mode of transportation based on distance.

In this video you will learn how to use an "if-else ladder" in Python to handle multiple conditions using if and elif and else statement,

In this video you will understanding nested if statements with examples.

Learn to implement nested if statements in Python to compare three numbers and find the maximum.

Learn to set up Visual Studio Code for Python, including installation, configuring settings, and running code.

Learn how to use looping in Python with real life scenario, including while and for loops.

Learn the syntax for while and for loops and implement it with practical examples to automate repetitive tasks.

Learn to debug Python programs in Visual Studio Code by examining code execution step-by-step and identifying logical errors.

Learn to print numbers from 1 to 10 using while and for loops in Python, including how to initialise counters and use ranges effectively.

Learn to print even numbers between 1 and 20 using while loops, with examples of handling infinite loops and applying the modulo operator.

Learn to reverse a string in Python using for loop, debugging techniques, and breakpoints while fixing common errors.

Build a chatbot that provides store hours, return policies, store addresses, and troubleshooting tips. It also handles invalid inputs with an error message. Watch the video for a step-by-step guide.

This video introduces Python data structures like lists, tuples, and dictionaries for efficiently managing and accessing large amounts of information.

This video introduces lists, explaining how they store ordered items like a shopping list and covers basic operations such as adding and deleting items.

This video shows how to create and print empty lists in Python using Visual Studio Code, including defining, initialising, and displaying lists.

This video explains printing list items in Python using for and while loops,covering index-based access.

This video shows how to access and print specific items in a Python list using indices, including examples for retrieving items by their index positions.

This video covers list methods for adding and removing items with practical demonstrations.

You will learn how to merge two lists with the extend method, adding items from one list to the end of another.

This video dives into list methods like sorting, clearing, reversing, and counting items with practical examples.

You will learn list slicing, how to extract specific ranges, reverse lists, and select alternate items in list.

This video covers common mistakes in Python list indexing, such as out-of-range errors and checking if a list is empty.

This video explains how to handle errors when accessing items in an empty list in Python by using if conditions.

This video explains tuples in Python, focusing on their immutability compared to lists and why they’re useful for unchangeable data.

You will learn the practical implementation of tuples, including how to create, print, and access elements in a tuple.

You will learn the count and index methods for tuples, their immutability, and how slicing works with tuples.

This video introduces dictionaries for storing key-value pairs, ideal for organising non-sequential data like contact information.

You will learn creating and using dictionaries, including storing, printing, accessing key-value pairs, and handling empty dictionaries.

Learn how to use for loops to print dictionary keys, values, and key-value pairs in Python, including practical examples with values() and items() methods.

Learn to modify, delete, and add items in dictionaries with methods like del, pop().

Learn how to work with nested lists, tuples, and dictionaries, including how to create, access, and manipulate nested structures.

Create an Inventory Management System in Python to manage products. Key features include adding, updating, and searching products, viewing by category, generating low stock reports, and displaying all items. The system uses dictionaries, lists, and conditional logic for efficient data handling and user interaction.

In this video you learn user-defined functions with a party planning analogy to simplify and reuse tasks in your code.

Learn to implement user-defined functions: definition, parameters, return values with practical example.

Learn about various user-defined functions in Python, including those with no parameters and those returning multiple values, with practical examples

Learn about Lambda functions, understand their purpose and how they simplify code by eliminating the need for separate function definitions.

Implement Lambda functions with practical examples, covering single and multiple argument operations for efficient coding.

Build an Order Processing System in Python. Discover how to add items, apply discounts, calculate costs, and generate invoices using Python, User-Defined Functions, Formatted Strings, and Modular Code.

This video introduces OOP and its advantages over POP, covering key concepts like classes, attributes, methods, and inheritance with practical examples.

This video introduces classes and attributes in OOPs, explaining classes as blueprints for objects and attributes as defining features, with practical examples.

Create a class and its attributes in Python, using the `__init__` constructor for initialisation and accessing/modifying attributes through instances.

Learn how to use the __init__ method in Python to dynamically initialise object attributes with values at creation, and pass parameters to set different values for each class instance.

Learn to create and use custom methods in a Python class to format and display object information.

Learn inheritance by creating a parent class and child classes, reusing properties and methods for efficient code management.

Creating a `Person` parent class and a `Student` child class that inherits its attributes, reducing code redundancy.

Implement inheritance with `super()` for initialization, manage attributes, and understand that parent classes can’t access child class attributes.

Define and use methods in Python’s parent and child classes, including printing attributes and updating values, while managing method access across both classes.

Learn inheritance types: single, multiple, multi-level, hierarchical, and hybrid, and how they structure class relationships.

Implement multiple inheritance by creating a Student class that inherits from Person and Dancer, handling attributes from both base classes.

Learn multi-level inheritance, where classes inherit from their predecessors, and learn to pass and access attributes and methods using 'super' keyword.

Learn hierarchical inheritance where one base class is inherited by multiple child classes. Learn how to use `super` to access shared properties and manage unique attributes.

Learn Python's access modifiers (public, protected, private) using a real-life scenario to illustrate data confidentiality and access control.

Learn to use public access modifiers, including accessing public attributes and methods directly via objects.

Learn protected access modifier with practical examples, demonstrating how single underscore attributes are accessible only in immediate derived classes.

You will learn private access modifier with double underscores, restricting attribute and method access to within the class and causing errors if accessed externally.

Learn Python decorators with a sandwich analogy to add functionality like messages and validation checks around functions without altering their core logic.

Build a Library Management System to manage and track books and members. This Python application enables you to add books, manage member information, record borrowing and returning of books, and generate detailed transaction reports. Learn object-oriented programming and modular design while creating a practical tool for efficient library management.

Learn Python modules through a real-life analogy and see how combining components simplifies and structures code. Explore modular programming concepts.

Learn to implement Python modules for tasks like addition and subtraction, and see how to structure and use modules effectively.

Learn three ways to import Python modules using an alias, without an alias, or importing specific functions to suit your coding needs.

Learn to use Python packages to efficiently organise, modularisation, and maintain your code

Learn to practically create a package for managing income and expenses using `income.py` and `expense.py` modules.

Build a Personal Finance Tracker to manage and track your income and expenses. This Project allows you to add income sources, record expenses, and generate detailed financial reports. Learn object-oriented programming and modular design while creating a practical tool for effective personal finance management.

Learn to handle syntax and logical errors, such as division by zero and incorrect outputs, with error handling techniques for robust code.

Learn to implement exception handling using try, except, else, and finally blocks to manage and display user-defined error messages in code.

Learn to use else with try and except for error handling and manage scenarios like division by zero

Learn to use Python's finally block in exception handling.

Handle built-in exceptions like ZeroDivisionError and IndexError in Python with multiple except blocks for effective error management.

Handle IndexError with lists by catching out-of-range exceptions and using inbuilt error messages.

Handle exceptions in Python by raising a custom ValueError for fund amounts below a threshold and use user-defined exceptions effectively.