Get Started with Python Programming + Practice Tests

Explore Python as a high-level, easy-to-learn, interpreted language with interactive shell and bytecode execution via a Python virtual machine, highlighting readability, portability, and its use in automation, data, and AI.

Learn to install the Python interpreter on Windows from Python.org, choose compatible versions (3.5–3.7), add Python to path, and run calculations in the Python shell.

Discover how Python comes preinstalled on Linux distributions like Ubuntu, verify the bundled Python 3.x version, and use the Python shell in the terminal for calculations and printing.

Learn to execute Python scripts on Linux and Windows by saving a Python file, adding a shebang, and running via the interpreter or via file associations.

Learn how variables in Python act as named memory locations for values with dynamic typing, and how identifiers, types via type(), strings, and conversions enable basic operations.

Learn how Python's operators and operands drive expressions, covering arithmetic, assignment, comparison, logical, bitwise, membership, and identity, and how precedence and parentheses shape results.

Learn to control program flow in Python with conditional statements, using if, elif, else, and proper indentation, plus reading input and converting strings to numbers.

Master the while loop in Python by evaluating boolean conditions, controlling loop flow with break and continue, and using input-driven examples to sum numbers and generate even numbers.

Master Python's while loop and its break and continue controls, compare with for loops, and learn how non-zero values are true while zero and none are false.

Explore how Python strings are represented and manipulated, including indexing, slicing, and concatenation; understand immutability, and apply methods like upper, lower, count, find, replace, split, and strip.

Learn how to write and call Python functions with def, define parameters and arguments, return values, and explore inbuilt vs user-defined functions, along with optional and named parameters.

Master Python lists by creating and indexing lists, using negative indices, and applying core operations like append, insert, remove, pop, and extend, understand lists are mutable.