Python Programming: A Step-by-Step Programming Course

Explore how to declare variables and work with integer, string, and boolean data types in Python, with practical examples that print age, name, and height.

Learn to work with numbers, strings, and booleans in Python by performing arithmetic operations, concatenating strings, and using booleans in if statements to control outputs.

Explore how the input function enables interactive programs by capturing user input as strings, then converts input to integers for arithmetic, greetings, and concatenation.

Learn how to format and display output in Python using print statements, string concatenation, f-strings, and the format method with placeholders, with practical examples of name and age.

Learn arithmetic, comparison, and logical operators in Python through practical examples of variables a and b, arithmetic results, boolean comparisons, and combined conditions using and, or, not.

Learn how to write simple expressions in Python using variables, arithmetic operations, string concatenation, and a built-in function to compute absolute differences, then print results.

Explore how if, elif, and else statements control Python program flow with conditions, using examples that check whether a number is positive, zero, or negative and print outcomes.

Master nested conditions to drive complex decision making in Python, illustrated with weather and temperature decisions, and score-based grading using nested loops for a grid.

Master Python for loops by iterating over lists, ranges, and dictionaries, printing items and accessing key-value pairs with clear, example-driven explanations.

Master Python loop control with for and while loops, learning to run code under conditions, increment counters, print iterations, break to exit, and handle user input.

Learn how to define and call Python functions to organize and reuse code, including parameters, return values, and basic examples.

define and call Python functions with arguments and return values, including default arguments, and see examples of computing a product and finding minimum and maximum values that return a tuple.

Explore local and global variables in Python, showing that local variables exist inside a function while global variables are accessible throughout code, and how the global keyword can modify them.

Master creating and manipulating lists in Python by learning to create, access, modify, append, insert, and remove elements with zero-based indexing, with examples like apple and orange.

Master Python list operations with built-in methods like append, extend, insert, remove, and pop, and learn to locate item index within lists.

explains tuples as immutable Python collections, shows how to create and access elements, and demonstrates packing and unpacking values.

Master Python dictionaries by learning how to create, access, modify, and remove key-value pairs in unordered collections, and print dictionary data.

Explore sets in Python and master operations like union, intersection, and difference. Learn to create sets, add elements, and handle duplicates with practical examples.

Learn basic string operations and methods in Python, including defining strings with single or double quotes, concatenation with +, repetition with *, and the upper, lower, and split methods.

Learn to use the Python format method to replace placeholders with values, format numbers with decimals, and pad results with zeros for clear, readable strings.

Discover the basics of regular expressions in Python using the re module. Learn to match, search, find all, group, and replace patterns with sub for data extraction.

Learn to read and write csv and json files in python using the csv and json modules, performing reading, appending, and dictionary-based data operations.

Explore Python exceptions and error types by implementing try and except blocks to handle division by zero, file not found, and multiple errors with clear messages.

Learn how to handle errors in Python with try, except, and finally blocks, catching division by zero and file not found errors to ensure final code execution.

Define a custom error in Python, inherit from the base exception, and handle it with try and except blocks, demonstrated through a divide function that raises it.

Import and use standard library modules in Python, using math for square roots and factorials. Demonstrate datetime to show current date and time and a custom date example.

Import and use third-party libraries in Python to extend functionality, create data frames with pandas, and visualize data with matplotlib.