Learn Python

Learn what Python is, its history, features, and why it's one of the most popular programming languages in the world.

Learn how to install Python, set up your development environment, and run your first Python program on Windows, macOS, and Linux.

Learn the fundamental syntax rules of Python including indentation, comments, statements, and code structure.

Learn how variables work in Python, including assignment, multiple assignment, type casting, scope, and best practices.

Learn about Python's built-in data types including numbers, strings, booleans, and None, with practical examples and type conversions.

Learn about all Python operators including arithmetic, comparison, logical, assignment, bitwise, membership, and identity operators.

Master Python string manipulation including creation, slicing, formatting, methods, and common string operations.

Learn how to use conditional statements in Python including if, elif, else, nested conditions, and ternary operators.

Learn how to use for loops in Python to iterate over sequences, ranges, and other iterables with practical examples.

Learn how to use while loops in Python for repeated execution, including infinite loops, break/continue, and practical patterns.

Learn how to define and use functions in Python including parameters, return values, scope, lambda expressions, and best practices.

Learn about Python lists - creating, accessing, modifying, slicing, and using list methods for data manipulation.

Learn about Python tuples - immutable sequences for storing fixed collections of data, with packing, unpacking, and named tuples.

Master Python dictionaries - key-value data structures for fast lookups, with methods, comprehensions, and practical patterns.

Learn about Python sets - unordered collections of unique elements with set theory operations like union, intersection, and difference.

Master Python list comprehensions and other comprehension patterns for concise, readable data transformation.

Learn object-oriented programming in Python with classes, objects, constructors, attributes, methods, and special methods.

Learn about inheritance in Python - single, multiple, and multilevel inheritance with method resolution order and super().

Learn about polymorphism in Python - duck typing, method overriding, operator overloading, and abstract classes.

Learn about encapsulation in Python - access modifiers, name mangling, properties, and data hiding for robust class design.

Master Python decorators - function wrappers that modify behavior without changing code, with practical patterns and examples.

Learn how to read, write, and manage files in Python including text files, CSV, JSON, and best practices with context managers.

Learn how to organize Python code with modules and packages, import mechanisms, and create your own reusable modules.

Learn how to handle exceptions in Python using try-except, raise custom exceptions, and write robust error-handling code.

Learn how to create memory-efficient sequences with Python generators and iterators, including yield, generator expressions, and itertools.

Master pattern matching in Python with the re module—learn how to search, match, replace, and validate text using regular expressions.

Learn how to consume REST APIs in Python using the requests library, handle JSON data, authentication, and build API clients.

Learn how to connect Python to databases using sqlite3, perform CRUD operations, and use SQLAlchemy ORM for robust database management.