Master Python Zero to Pro + Real World Projects - APR'26

Discover Python, a high-level general-purpose language with readable syntax, cross-platform compatibility, and a vast library ecosystem, used across automation, web development, data analytics, AI, and more.

Install Python on a Mac using Homebrew, then verify with python3 --version and pip3 --version, and create aliases so python and pip map to python3 and pip3.

Install Python on Windows by downloading the 64-bit Windows installer from python.org and adding Python to your environment variables, then verify with python --version and pip --version.

discover what PyCharm is and why IDEs help Python development, with features like code completion and debugging, and learn to install PyCharm community edition on mac brew or dmg.

Create your first Python program in PyCharm by making a project folder, creating 01_first_program.py, and printing hello world. Run from the terminal or PyCharm to run your first program.

Create a Python file and learn to use the print function for strings, numbers, and simple expressions, aiding debugging, then add single- and multi-line comments with hash symbols.

Master Python variables and naming conventions, including creating and updating variables, using snake_case, and recognizing constants defined in uppercase for clear, maintainable code.

Master Python indentation by learning the 4 space rule, when to indent for if blocks and functions, and how PyCharm auto-applies indentation to keep code error-free.

Explore Python numeric data types by distinguishing integers and floats, illustrated with age, height, weight, and temperature, and learn how Python auto assigns types.

Explore Python strings, from creating with single or double quotes to 0-based and negative indexing, slicing, and length. Learn concatenation, repetition, and common methods like upper, capitalize, and title.

Master Python string methods and formatting by exploring upper, lower, capitalized, title case, strip, replace, split, and contains, plus practical f-string formatting for clean, expression-rich outputs.

Explore Python escape sequences, including new line and tab, backslash escaping, and quotes handling, with examples using raw strings to treat backslashes as literals.

Master Python type conversion by turning strings into integers or floats and back, using int, float, and str, with input handling and common conversion errors.

Learn to get user input in Python at runtime, convert strings to integers or floats, handle multiple inputs, and build a simple calculator using input, int, float, and f-strings.

Learn how to use lists in Python to store multiple values in a variable, access items by index and slice, and apply operations like append, insert, remove, sort, and concatenate.

Explore tuples in Python, immutable alternatives to lists. Learn syntax with parentheses, access and unpacking, and when to use tuples for constant data and faster performance.

Learn how to work with sets in Python, harness unique, unordered collections, add and remove items, test membership, perform union, intersection, and differences, and convert between lists and sets.

Learn how Python's range creates a memory-efficient sequence of numbers without building them all at once, and apply range with start, end, and step in for loops, including negative steps.

Learn to use the Python ternary operator to replace simple if-else with a single line, and why nested ternary operators are not recommended due to readability.

Master for loops in Python by iterating over lists, strings, and dictionaries, using range, enumerate, and zip, with nested loops and practical print examples.

Learn how Python while loops differ from for loops, avoid infinite loops by ensuring proper increment or decrement, and understand the syntax with examples printing 0 to 4.

Learn how Python's break and continue control loop execution, stopping a loop or skipping an iteration in for and while loops with concrete examples.

Define and reuse functions in Python with def, naming the function (using underscores for multiword names), passing parameters, writing code, and calling it to print hello world.

Discover how Python functions use return statements to produce values, distinguish between printing and returning, and see examples of single and multiple return values using tuples and dictionaries.

Learn how Python uses *args and **kwargs to handle variable arguments, collecting positional values in a tuple and keyword values in a dictionary, with practical examples.

Master Python lambda functions as simple one-line, anonymous functions that automatically return an expression. Explore single, no-parameter, and multi-parameter forms, and know when to avoid lambdas for complex logic.

Learn how Python scope works by exploring local, global, and non-local variables, shadowing, and nested and enclosing scopes, and the local enclosing global built-in lookup order.