
Learn the Python overview, including its interpreted, interactive, and object-oriented nature, core features, libraries, architecture, and key applications from web development to data analysis and machine learning.
Install Python 3.14 on Windows, then set up a development environment with VS Code, PyCharm, and Jupyter notebook using Anaconda, completing downloads and initial configuration.
Learn how variables act as containers in Python, store data types like integers, floats, strings, and booleans, and reassign values while printing results.
Master Python strings as sequences of characters, using quotes and multiline text, and apply zero-based indexing, slicing, and methods like lower, upper, and replace.
Learn how Python handles integers and floats, performs basic arithmetic (add, subtract, multiply, divide, floor division, modulus, exponent), checks types, and applies operator precedence with parentheses to ensure predictable results.
Master comments and code style in Python, learning single-line and multi-line comments, and applying PEP 8 guidelines such as snake_case, spacing around operators, and keeping lines under 79 characters.
Explore how if, else, and elif statements enable Python programs to make decisions by evaluating conditions and printing outcomes, with examples like voting eligibility and temperature checks.
Explore truthy and falsy values in Python and master conditionals by evaluating numbers, strings, lists, dicts, and None, with practical examples of if statements and non-empty checks.
Build a simple python calculator using input, variables, type conversion, and if-else statements to perform addition, subtraction, multiplication, and division with floating point numbers.
Learn how to use for loops and the range function to iterate over sequences and lists in Python. Explore start-stop-step ranges, loop through a list of fruits, and sum values.
Explore nested loops in Python by placing one loop inside another, control outer and inner iterations, and print grids, patterns, and multiplication tables.
Learn to iterate over strings, lists, and dictionaries using Python loops, access each element, compute operations like squares, and print keys, values, or both.
Master Python lists as an ordered, changeable data type that stores multiple items in a single variable. Learn creation, indexing, modification, looping, slicing, and nested lists for 2D data.
Master Python tuples, an immutable, ordered data structure using parentheses, compare with lists, and learn indexing, slicing, unpacking, plus key operations like length, count, index, maximum, and minimum.
Learn how Python sets store unique elements and remove duplicates. Explore performing union, intersection, difference, and symmetric difference, plus adding and removing items.
Explore list comprehension and dictionary comprehension to create lists and dictionaries in a single line, replacing loops. Apply them to generate squares, filter even numbers, and build city temperature mappings.
Explains Python variable scope, covering local, global, and nonlocal variables, how scope affects access, and how to modify global and nonlocal variables in nested functions.
Master error handling in Python by using try, except, and finally to manage division by zero, multiple exceptions, and cleanup, with else for successful runs.
Learn to create and raise custom exception classes in Python, handle errors with try and except, and provide meaningful messages and context for invalid input and age errors.
Learn to read, write, and append text files in Python using open with read, write, and append modes. The lecture covers line-by-line reading, closing, and memory-efficient processing for large files.
Define a class as a blueprint and create objects as its instances to hold data and actions, using init and self to assign attributes and enable reusable code.
Learn how instance variables differ from class variables in Python's object oriented programming, with clear examples showing unique per-object data versus shared class data.
Explore inheritance and polymorphism in Python, where child classes inherit from a parent and override methods, with examples like animal, dog, cat, car, and boat showing customized behavior.
Explore encapsulation and abstraction in Python, demonstrating private and public variables, getters and setters, and abstract base classes to design shapes like circle with an area calculation.
Python Programming Zero to Hero: Learn Python Step by Step
Python is one of the most popular and versatile programming languages in the world. Whether you want to build web applications, automate tasks, analyze data or create AI solutions, Python is the foundation you need. In this course, you’ll learn Python step by step—from the basics of coding to advanced programming concepts—through hands-on exercises and real-world projects.
I start with the fundamentals of Python. You’ll learn how to write your first lines of code, understand Python syntax, work with variables, data types, operators and control flow. These foundational skills ensure you have a strong base to build more complex programs confidently.
Once you’re comfortable with the basics, I move into working with Python’s core data structures: lists, tuples, dictionaries and sets. You’ll learn how to store, access and manipulate data efficiently, which is essential for any real-world Python project. I’ll also cover loops and conditional statements to control the flow of your programs.
The course then dives into functions, modules and packages. You’ll learn how to write reusable code, organize your programs for better readability, and import Python libraries to extend functionality. These skills are crucial for building scalable and maintainable applications.
Next, I explore Object Oriented Programming (OOP) in Python. You’ll learn about classes, objects, inheritance and encapsulation—core concepts that allow you to create structured and professional-grade programs. OOP is a must know for developers working on larger projects or software development careers.
You’ll also work with file handling, error handling and Python libraries for practical tasks. Learn how to read and write files, manage exceptions and automate everyday tasks. These hands-on exercises give you the confidence to solve real-world problems using Python.
Throughout the course, you’ll complete practical projects designed to reinforce your learning. From building simple applications and games to automating tasks and creating data driven solutions, these projects allow you to apply your knowledge immediately and build a strong coding portfolio.
By the end of this course, you will have mastered Python programming from scratch. You’ll be able to build applications, automate tasks and tackle real-world projects with confidence. This course gives you everything you need to go from a Python beginner to a proficient developer ready for professional or personal projects.