Python for Newbies - Complete Python Bootcamp (2026 Edition)

Install the Python interpreter on your operating system; Windows users download Python 3.9.2 and add it to the path, then verify in the command prompt.

Write your first line of python with the print function to print Hello, World in an interactive cell, then open a Jupiter notebook and explore comments.

Define and reuse variables in Python with assignment, observing how values point to memory and change over time. Follow naming conventions—use underscores, avoid keywords, and distinguish constants with uppercase naming.

Master Python's arithmetic operators, including addition, subtraction, multiplication, division, modulus, floor division, and exponentiation, and learn operator precedence with practical examples alongside boolean, bitwise, and assignment operators.

Explore boolean and comparison operators in python and how they yield true or false, including greater or equal and less or equal. Equal, not equal, greater, less, and not.

Discover bitwise operators in Python, converting integers to binary with bin, and evaluating and, or, and xor operations on binary digits to understand bitwise calculations.

Practice assignment operators by updating a variable with arithmetic, such as x plus equals two, and verify results with minus equals, multiply, divide, and modulo.

Explore Python data types by examining integers and floats, learn arithmetic operations, and note that mixing int and float yields a float, with strings coming in the next lesson.

Learn to work with Python strings using single or double quotes, index and slice characters, and apply methods like upper, lower, capitalize, find, count, strip, and format.

Learn Python lists and tuples by creating lists with square brackets, indexing and slicing (including negative indices), and comparing mutable lists to immutable tuples.

Explore Python dictionary as a key-value store with unique keys, access values by keys, and modify, add, or delete entries.

Master Python sets and booleans by creating unordered, non duplicated collections, performing union, difference, and intersection, and using the type function to inspect data types.

Learn typecasting in Python by converting values between data types with int, float, str, list, tuple, and set constructors, including string to number and number to string conversions.

Learn Python control flow tools, including if, elif, else, with indentation, inline if, and pass; practice through examples and a quiz, and prepare for loops in the next lesson.

Master Python for loops to iterate over lists and strings, follow the syntax with colon and indentation, and print results, including using the range function and nested loops.

Learn how the Python while loop runs a block until a condition is met, illustrated by incrementing x by 2 until 20 and guarding against infinite loops.

Discover how Python break and continue statements control loop flow: break exits on sleep, continue advances to the next iteration on play, and other actions are printed.

Explore building and using Python functions, with hands-on coverage of built-in functions like print, type, len, abs, input, max, and sorted, plus creating your own functions.

Learn how to create user-defined functions in Python using def, name, parameters, and docstrings; call functions with arguments, return results, and use a sum example.

Learn how to pass multiple arguments to a Python function with *args and **kwargs, iterate over them, and sum values while handling keyword arguments as dictionaries.

Learn how Python variables have local scope inside functions, how outside variables become global, and how to modify global variables from within a function using the global keyword.

Explore inner and nested functions in Python, and learn how a recursive function calls itself to generate sequences like Fibonacci, with practical examples.

Learn functional programming in Python, a declarative approach that uses sequential functions like lambda, map, reduce, and filter to decompose problems, enable modular reusable code, and support parallel programming.

Learn how decorators in Python wrap a function, pass parameters, and return an augmented result, illustrated by dummy and disco funk examples.

Explore syntax errors and runtime exceptions in Python, illustrated by a missing print parentheses and division by zero. Learn to handle such exceptions with except blocks in the next lesson.

Master handling exceptions in Python using try and except blocks, optionally with finally, raise, and specific exception types to validate input and print errors.

Define classes as blueprints for objects to model complex systems by grouping data (variables) and methods, then instantiate objects and use the self parameter to run class methods.

Learn to define a Python class with a constructor, initialize attributes via __init__(self), assign values to self, and create methods study and get_details with object instantiation.

Explore Python inheritance by deriving classes from base classes, accessing inherited methods and variables, and learning constructor and init with school and student examples.

Learn how to open, write, read, and close files in Python using a context manager and UTF-8 encoding, and how to safely manage resources with try-finally and basic error handling.

Create a Python capstone that builds a quiz platform by loading questions and answers from text files, forming a questions-and-answers dictionary, and laying groundwork for a Quiz class.

Create a Python capstone quiz by implementing a quiz class with a zero score, a question-and-answer dictionary, and a start quiz method that prompts for a name and assesses answers.