The Complete Python 3 Course: Beginner to Advanced in 2022!

Write your first Python program by printing Hello world to the screen with the print statement. Explore how Python, a formal language, makes a simple task expressive and concise.

Master how to print Hello world on the screen in Python, and understand Python syntax and comments using # and block comments.

Learn how to work with variables, strings, and numbers in Python, and master string concatenation with print statements, including mixing data types and converting between strings and numbers.

Learn to print numbers and strings in Python, use comments, distinguish data types, and use variables and operators to compute ages and other values.

Master Python indentation, syntax, and formatting by examining blocks, nested blocks, and common indentation errors. Learn how an IDE helps catch issues that arise from inconsistent indentation and block structure.

Master running Python scripts from files by saving code as .py, mastering indentation blocks, and executing the script via the command line or terminal.

Explore how to set and print variables in Python, using different data types, and manage variable scope inside and outside functions, including global usage and multi-variable assignments.

Explore basic numbers in Python, including integers, floats, complex numbers, and perform arithmetic, type checks, conversions, and random number generation.

Master strings in Python with hands-on exercises on concatenation, printing, formatting, slicing, placeholders, booleans, and common methods like upper, lower, strip, replace, and split.

Explore casting in Python by resolving type mismatches between int, string, and float; convert values to int, float, or string and print them correctly.

Take user inputs in Python to drive programs, build a basic calculator, and practice casting strings to numbers for arithmetic.

Discover Python assignment operators and how they assign values, such as a equals two and a equals b, including plus equals, subtraction, and other operations with practical print examples.

Explore Python comparison operators by comparing values with ==, !=, >, <, >=, and <=; distinguish assignment from comparison, and evaluate boolean results in practical examples.

Learn how Python identity operators verify the identity of objects with is, using examples for int, string, and float types.

Learn how membership operators check if a value is a member of a collection, using in and not in to yield true or false.

Explore Python strings, perform concatenation and string manipulations, and use slicing and negative indexing to print substrings. Use examples like combining phrases and printing the first 10 characters.

Explore how booleans in Python evaluate expressions to true or false, perform membership tests with in, inspect the bool data type, and print boolean results for conditionals.

Explore tuples as a simple collection, and see how converting a tuple to a list unlocks many list functions—append, count, insert, pop, remove, and reverse—using fruit examples.

Explore frozensets as the immutable version of Python sets, where a frozen set cannot be changed after creation, illustrated with a vowels example.

Explore the basics of bytes in Python, printing byte values and distinguishing bytes from strings and byte arrays to understand digits and representations.

Explore memory view concepts in Python by examining how byte arrays are stored in memory and how a memory view represents a number and its types.

Master python data types — numbers, strings, booleans, lists, dictionaries, topless, frozen sets, bytes and memory view — plus type conversions that transform one type to another.

Master how if statements control code execution by evaluating conditions like x > y, printing messages when true, and handling the else case when the condition isn't met.

Learn how Python if statements and else blocks handle conditions, executing the appropriate block of code when a condition is met and introducing the power of conditionals.

Explore Python conditional logic with if, elif, and else to compare X and Y, handle greater, lesser, and equal cases, and print when X and Y are equal.

Learn to use one-line if statements in Python, compare short form versus long form conditionals, and improve readability while assigning values based on conditions.

Explore the while loop in Python, compare it to the for loop, and learn counting with a condition and incrementing. Use remainder and if/elif to identify even and odd numbers.

Learn how break and continue work in Python loops, including breaking a while loop to prevent infinite loops and using continue to selectively print numbers.

Discover how nested loops work in Python by implementing an outer loop and an inner loop with range, printing numbers and checking evenness, while avoiding infinite loops.

Explore the difference between functions and methods in Python, define and call them, pass parameters and arguments, and distinguish global versus local variables, including lambda and recursion.

Clarifies the difference between parameters and arguments in Python functions, defining parameters as placeholders and arguments as values passed to a function or method call.

Master default arguments in Python functions by defining defaults, calling with fewer arguments, and overriding defaults with explicit values, as shown in practical examples.

Explore keyword arguments in Python functions by defining a function with named parameters and calling it both positionally and by name, enabling argument order flexibility and clearer mappings.

Learn to define a function that accepts an unlimited number of arguments, perform summations on numeric inputs, and handle type errors when non-numeric values appear.

Examine global versus local variables in Python functions and how scope affects values. Learn how a function can use and change a local total without altering the global total.

Explore pass by reference and pass by value in Python functions using lists, showing how in-place modifications affect the original list and when changes remain local.

Learn the power of the return statement in Python functions, returning the sum of inputs, avoiding None, and distinguishing between printing and returning values.

Learn how lambda functions in Python provide inline, anonymous one-line functions, with examples for doubling, adding, and applying map, filter, and reduce to lists.

Use the pass statement in Python functions as a placeholder to keep code from failing while you plan and implement the function later.

Master Python flow control with for and while loops, if/elif/else decision making, break and continue statements, and robust error handling using try/except and pass.

Explore Python's for loop control with a quick refresher on iterating over a collection and printing each item, using a names list as a practical example.

Master while loops by using a counter that decrements from 30 to 2, and control flow with true conditions and break statements. See how this differs from for loops.

Explore python's control flow by comparing continue and break inside a while loop, showing how continue skips iterations while break exits the loop, and laying groundwork for try statements.

Leverage the Python try-except control flow to catch exceptions, validate user input, and keep programs robust against value errors.

Discover how to use the pass statement in Python within loops, with simple prints and a conditional check for values like 'fru', teaching skip logic and basic token handling.

Explore classes as blueprints in python, define attributes and methods, and instantiate objects. Learn inheritance with parent and child classes and import external libraries like random.

Define a class to model real objects, create a vehicle class with attributes like name, color, price, and methods, then instantiate objects and print descriptions.

Explore class inheritance in Python by defining a parent class with attributes and methods, then creating a child class that inherits them, demonstrating constructors and self.