Learn Python Programming Masterclass: Python 3 in 2026

Install Python on Mac or Windows by checking terminals for Python or Python 3, upgrade to Python 3.x via python.org, and ensure path is set; next episode covers installing IDE.

Install PyCharm and Python, selecting the community version for macOS or Windows. Create a learning project with a virtual environment and interpreter to write and run Python code.

Learn to write your first python program by creating a new project in PyCharm, adding a python file, printing 'Hello World', and configuring and running scripts.

Explore Python data types, including string, integer, float, boolean, and the array family with subtypes list, set, tuple, and dictionary, focusing on input, processing, and output.

Explore integers and floats in Python, learn the distinction between whole numbers and decimal numbers, and verify their types using type() with simple examples.

Explore strings and booleans in Python, learn string literals with quotes and that booleans represent true or false. Note capitalization matters for True and False.

Explore the Python list data type, its syntax with square brackets, and how lists hold integers, floats, strings, booleans, or mixed types, alongside comparisons to arrays and other Python collections.

Explore dictionaries in Python, focusing on key-value pairs, curly brace syntax, and practical examples like apple: red fruit and banana: yellow fruit, while briefly comparing tuples and sets.

Master Python string methods and dot notation to perform actions on text. Cover the ten most important string methods, such as capitalize, casefold, center, count, and join.

Master Python list methods, such as append, clear, copy, count, extend, index, insert, pop, remove, reverse, and sort, using dot notation on lists and contrasting with string methods.

Explore the crud concept—create, read, update, delete—and apply these operations to database tables and Python dictionaries.

Explore dictionary methods to create, read, update, and delete key-value pairs, using print, keys, and values to simulate a database and practice modifications with del, pop, and assignment.

Explore Python tuples: understand immutability, creating single-element tuples with a trailing comma, accessing items by indexing, and using simple methods like count and index, plus help for documentation.

Explore sets in python: understand their no-duplicate nature, mutable behavior, and practical operations like add, remove, pop, union, and subset checks.

Learn Python arithmetic operators, including plus, minus, divide, multiply, exponentiation, modulus, and floor division, with practical examples; preview assignment, comparison, and logical operators.

Demonstrate the Python assignment operator, showing how the equals sign assigns a value, explain not equal as a related operator, and preview the upcoming comparison operator.

Explore comparison operators and boolean results, learning equal to, not equal to, greater than, less than, and their inclusive variants, with practical code examples and practice for conditional statements.

Learn how to use Python's logical operators and or to combine boolean values, understand truth tables for true/false outcomes, and apply parentheses to control evaluation order.

Explore conditional statements in Python using if, elif, else, and the interplay of comparison and logical operators to control flow, with real-world examples like driver's license eligibility.

Master the Python for loop and its role in control flow. Understand iteration, the range function, and how to avoid repeating yourself to write efficient code.

Explore the while loop in Python, compare it with the for loop, and use boolean values and dynamic counters to drive repetition with practical examples.

Master break and continue for controlling loops in Python, using for and while loops to stop after a number is found or skip iterations when a condition isn't met.

Master exception handling in Python by using try and except to catch key and type errors and present meaningful messages with dictionary examples.

Explore how functions power Python programming, define and call functions, understand the two parts of a function—definition and calling—and apply a linear function f(x)=mx+c with input, processing, output.

Explore how arguments and parameters feed functions, differentiate inputs from definitions, and practice using multiple arguments to perform operations like addition in Python.

Learn how functions handle inputs, processing, and outputs; use the return keyword to output values, distinguish print from actual output, and understand string concatenation through examples like hello and name.

Explore recursion by showing how a function calls itself, with base cases and conditional stops, and examine factorial examples and maximum recursion depth.

explains object oriented programming by defining objects as instances of classes, using a car example with engine, fuel, wheels, and color to illustrate the blueprint and instantiation.

Explore how to define a class as a blueprint, create objects through instantiation, and use class variables, data members, and methods with self and dot notation in Python.

Explore Python constructors, focusing on the __init__ method, how self stores instance data, and practical examples with __str__ and docstrings to customize output and documentation.

Learn to apply object oriented programming by building a car object with attributes and methods like run, refill, change mileage, reset kilometer run, and display info.

Learn Python file handling essentials by creating, reading, updating, and deleting external files like txt, csv, and xlsx, using the variable open method or the with statement for safe reads.

Master Python file handling with open statements in read, write, and append modes. Read lines and read line, create files, and delete files with os for full CRUD.

Explore file handling in python through a real world phonebook example. Learn to create, read, update, and delete records in a text file using functional programming concepts and tab-delimited fields.

Explore how external libraries and modules extend Python, learn to install with pip, import packages like Django or Flask, and leverage built-in libraries for real-world tasks.

Explore how to import and use Python's built-in math library to perform ceil, floor, factorial, exp, log, pow, trig functions, and degree-radian conversions while reading docs and experimenting with random.

Learn how to use external libraries like Flask to build a Python web app, install and verify Flask, set up routes, render templates, and pass variables from the URL.