Complete 2026 Python Bootcamp: Learn Python from Scratch

Explore variables and data types in Python, and learn how memory stores values via the assignment operator, with dynamic typing of integers, strings, floats, and booleans.

Learn typecasting in Python by converting data between int, string, and float using int() and str(), with practical examples showing casting, type changes, and handling user input.

Explore taking user input in Python with the input function, prompts, and type casting to integers before printing results.

Learn Python comments, including single and multi-line styles, toggle with ctrl+/, and master the print function with escape sequences and output control using sep and end.

Master operators in Python, including arithmetic, comparison, logical, assignment, and membership and identity operators, and practice with Python as a calculator in a repl session.

Practice Set 1 guides learners through core Python basics—printing messages, variables and type casting, user input, a simple calculator, escape sequences, and arithmetic.

Demonstrate conditionals in Python by using if, else, and elif to control the flow of code, illustrated with age-based decisions such as driving eligibility.

Learn how to use match case in Python 3.10, matching a value against cases and a default with case underscore, akin to switch, offering convenient alternatives to if-else.

Explore how for loops in Python iterate over sequences using range, enabling you to print numbers, generate a multiplication table, and understand loop behavior without writing 1000 lines.

Explore how while loops work in Python, compare them to for loops, and learn to control execution with a condition and update the value of i, while avoiding infinite loops.

Learn how break, continue, and the pass statements control loops in Python, using for loops and range to demonstrate stopping, skipping iterations, and placeholders for future code.

Master conditionals and loops in Python by solving practical practice sets on if/elif, match case, for and while loops, and real-world tasks like voting eligibility, password checks, and number patterns.

Explore Python strings, including single, double, and triple quotes, multi-line strings, and string indexing with positive and negative indices, plus handling index out of range errors.

Master python string slicing by using positive and negative indices, explore how 0 to 2 and 2 to -1 extract characters, and apply step-based slicing to skip characters.

Explore Python string methods and functions, revealing how immutability shapes string manipulation. Use upper, lower, capitalize, title, strip, find, replace, split, join, and type checks like isalpha and isdigit.

Master string formatting in Python with format and f-strings, and understand ord and chr for ASCII values.

Explore Python string practice tasks from indexing and slicing to formatting, including strip, title, count, isalnum, f-strings and format, reverse, replace, vowels counting, and palindrome checks.

Learn how to define and use functions in Python, using def to create reusable, readable and maintainable code, pass arguments, call functions, and return values for modular programs.

Explore how Python functions receive arguments and return values, using positional, default, and keyword arguments to control computation and result flow.

Explore lambda functions in Python, anonymous inline one-liner utilities for simple operations like squaring a number or adding two values. Use these as convenient alternatives to full def definitions.

Learn recursion in Python by implementing the Fibonacci sequence, where a function calls itself, requires clear base cases, and demonstrates how recursion directly solves problems.

Learn how to import Python modules, distinguish built-in and external libraries, and use pip to install dependencies and external packages like requests.

Explore Python function scope and lifetime, differentiate local and global variables, use the global keyword, and document with docstrings for functions, classes, and modules.

Explore practice set four on functions, covering defining functions, lambda and map, recursion with factorial and sum of digits, and modules with math and requests, plus docstrings and scope concepts.

Explore lists as Python's ordered, mutable data structure that stores multiple data types, supports indexing, slicing, and dynamic modification, with examples on marks and mixed lists.

Explore Python list methods and how they modify the original list, including append, pop, insert, extend, sort, and reverse. Learn list comprehensions to build a table of five efficiently.

Tuples are ordered but immutable collections you cannot change; learn about tuple unpacking, count and index methods, and why they are faster than lists and hashable for dictionary keys.

Explore how Python sets function as unordered, unique collections, created with curly braces, and learn core set methods like add, remove, discard, and pop, plus union and intersection operations.

Explore how dictionaries store key-value pairs for fast lookups, access and modify entries, and use methods like keys, values, pop, and clear, including dictionary comprehensions.

Solve hands-on Python collection problems in this data structures practice set, covering lists, tuples, sets, and dictionaries, with slicing, sorting, inserting, removing, union and intersection, and basic dictionary operations.

Explore object oriented programming by modeling real world problems with classes and objects. Learn the four pillars—abstraction, encapsulation, inheritance, and polymorphism—and how they improve structure, reuse, and debugging.

explains that a class is a blueprint for objects, an object is a class instance with attributes and methods, and self references the object when calling its salary method.

Learn how to use constructors in Python by defining __init__, initialize an employee object with salary, name, and bond, and expose details with a get info method.

Explain difference between instance attributes and class attributes in Python, showing how instance attributes override class attributes. Demonstrate object introspection with dir and accessing class attributes via the class name.

Explore inheritance in Python by creating a dog class that inherits from an animal class, gaining attributes and methods without rewriting code, and using super for extension.

Learn operator overloading in Python by creating a point with x and y coordinates, implementing a sum method, and overloading the plus operator with __add__ to produce a new point.

Build simple python classes for object oriented programming with a car drive method, a person with name and age attributes, and an animal dog demonstrating sound and bark.

Learn how decorators in Python modify and enhance functions using wrappers and the @decorator syntax, including decorators with arguments, with applications in Flask and Django routing.

Explore getters and setters in Python, using property decorators to access and modify attributes like first name, demonstrating encapsulation and cleaner syntax.

Learn how instance, static, and class methods work in Python. See how class attributes are accessed by the class and instances, with examples like summing numbers and updating a company.

Explore magic or dunder methods in Python, learn how __init__, __str__, __repr__, and __len__ enable operator overloading and customize object behavior in a simple employee example.

Learn how to prevent program crashes with Python exception handling using try and except, raise custom errors, and finally blocks, and handle value and zero division errors.

Explore map, filter, and reduce as Python's higher-order functions that operate on iterables, applying concise lambdas to transform, filter, and reduce a data sequence.

Explore the walrus operator, an assignment expression in Python 3.8 that lets you assign a value inside an expression, reducing repeated calculations or repeated function calls.

Learn how to use args for positional arguments and kwargs for keyword arguments in Python, including summing values with a loop and iterating over a dictionary of key value pairs.

Master Python advanced topics through a practice set, including decorators and timers, getters/setters, static and class methods, magic methods, exception handling, map/filter/reduce, and walrus operator.

Explore file I/O in Python, contrasting files with memory, and learn how to read, write, and append data to ensure persistent storage across restarts.

Learn to read, write, and append text files in Python using open modes r, w, and a, handle line-by-line reads, and leverage the with context manager for automatic closing.

Explore the OS and shutil modules to list, check, copy, move, and delete files and directories, including handling empty and non-empty cases.

Learn to build Python command line utilities using argparse to accept inputs from the command line for a simple calculator that adds, subtracts, multiplies, and divides two numbers.

Master Python file IO by creating, writing, reading, and appending notes.txt and tasks.txt, then use os and shutil to copy, move, delete, and build simple line-count and word-search utilities.

Learn how to use virtual environments to isolate Python projects, manage packages with pip, create and activate environments, and generate a requirements.txt for reproducible setups.

Master the requests module to fetch data from urls, handling json, html, or plain text. Learn to perform get and post requests, and save responses to files in Python.

Learn how Python's built-in re module enables regular expressions for search, find all, and substitution in text, with case-insensitive matching and start and end indices.

Learn python threading to run io bound tasks in parallel using a worker function and join; understand the global interpreter lock and multiprocessing for cpu bound tasks.