python for everyone: from zero to mastery

Learn to install Python and a beginner-friendly editor, select a stable 3.11 Windows 64-bit installer from the Python official page, verify with cmd, and try win 101.

Learn how to install python and the wing 101 ide on mac, verify the installation in terminal with python3, and run a simple hello world program.

Begin your Python journey by writing your first print statements. Explore how to output text to the console, handle quotes and newlines, and build a simple motivational poster using code.

Learn how Python variables store changing values through initial assignment using the equals sign, with a box analogy, and practice printing and updating variables toward a simple daily expenses monitor.

Learn to use Python's input function to capture user data, store it in variables, and print a combined travel plan using prompts and string concatenation.

Discover Python's basic data types, including strings, integers, floats, and booleans, and learn how to convert user input to int, check types, and print results.

Learn how to convert basic data types in Python—int, float, str, and bool—using type constructors, handle user input, and build a Fahrenheit to Celsius converter.

Learn Python strings: define with quotes, perform basic operations, and handle formatting with escape sequences, concatenation, and newlines to manipulate text.

Master string operations in Python by indexing from zero, negative indexing, and slicing with steps to select substrings. Practice concatenation, replacing characters, and trimming ends to print modified results.

Explore Python string operations using built-in functions and methods to transform case, measure length, replace substrings, and apply search, split, join, and trim techniques.

Input a student's name, remove titles like mr. and miss, extract and capitalize the first name, and standardize it using Python string methods.

Master f-string formatting in Python to embed expressions in strings, format decimals, and print variables together, using curly braces for concise, readable output.

Master f-string formatting in python to input rent, groceries, transportation, and entertainment, and print a total monthly expense with two-decimal precision.

Master the Python numbers data type, covering integers and floats, perform arithmetic, modulus, and exponent operations, learn order of operations, formatting with f-strings, and the distinction between assignment and equality.

Master floating point numbers in python with basic operations and decimal control using round and format. Explore scientific notation, float to int conversions, and precision pitfalls in comparisons.

Master boolean values in Python, learn true and false, and use and, or, not to control flow, with a leap year example to apply logic.

Explore the basic Python program structures—sequential flow, conditional decisions (single and multiple), and loops (while and for)—to understand fundamental program design.

Explore how python's if statement drives conditional logic, using if, elif, and indentation to evaluate height-based criteria for basketball team eligibility.

Learn how to use if, elif, and else in Python to execute code based on conditions, handle user input with int conversion, and fix indentation errors in conditional blocks.

Master nested conditional statements by handling multiple conditions with proper indentation and readability, using real-world examples like height and weight filters for basketball players and morning vs night temperature adjustments.

Explore python while loops, using break and continue to control flow, and build a number guessing game with random and input to exit on a correct guess.

Explore the Python for loop and range, iterating over a sequence to compute totals, skip steps with continue, and apply discounts when total price exceeds thresholds.

Explore Python lists and basic data types, learn list creation, indexing, and mutation, and apply common operations like append, extend, remove, and pop to manage data.

Identify even three-digit numbers from 100 to 999 whose second and third digits sum to eight, then compute their total in Python using range, modulo, and string indexing.

Explore advanced python list manipulation with slicing, list comprehensions, reversed lists, and list arithmetic, illustrated by indexing tricks, concatenation, and repetition.

Learn how built-in Python functions and list methods streamline working with lists, including len, sum, mean, min, max, and sorted, plus append, extend, insert, remove, and more, with practical examples.

simulate a practical to-do list project in python for everyone, using list methods like append, extend, count, sort, and reverse to manage tasks.

Understand Python tuples as immutable, heterogeneous containers that differ from lists; create them with parentheses and a trailing comma, access by index, and pack, unpack, and use index and count.

Master tuples in python by listing gps data points (latitude, longitude, timestamp), then pack and unpack each point with a for loop to display results while preserving original data.

Understand Python sets as a collection of unique elements with no defined order, enabling union, intersection, and difference.

Explore solving real-life membership problems with Python sets by comparing two library member lists, using set intersection to find common members and counting them.

Understand dictionaries as key-value data structures using curly braces with unique keys and varying values of different types. Access, modify, delete, and retrieve values by keys, using dictionary methods.

Explore how to build a simple auction system using Python dictionaries, collecting names and bids, iterating with a loop, and identifying the highest bidder through a straightforward algorithm.

This lecture introduces functions in Python as reusable blocks that take parameters, return values, and can be defined with def to automate repetitive tasks like personalized greetings.

Define and use functions with parameters and returns, print and concatenate results, loop through student names, and compute trapezoid area using user input and float conversion.

Build a simple grid management system with three functions: add student score, calculate the average, and display the grade sheet, using a user interface for names and scores.

Explains Python function scope, distinguishing local and global variables, rules for their usage, and how to modify globals by declaring them global, including return values.

Learn how to use Python lambda functions to create one-expression, anonymous functions and apply them with map and sorted using key parameters.

Explore recursive functions and the base case by computing factorials. Compare recursion with iteration in Python and see how problems decompose into simpler subproblems, with a Fibonacci sequence as homework.

Learn the basics of object oriented programming in Python, contrast it with procedural programming, and explore objects, classes, and methods through practical analogies.

Learn how Python uses classes as blueprints to create objects, with init and self, and how attributes and methods define instance behavior, as shown with an animal or dog example.

Explore attributes and methods in Python, including instance attributes, class attributes, instance methods, class methods, and static methods, with practical class examples.

Design a bank account management system in Python using object oriented programming. Implement deposit, withdrawal, balance display, and apply interest with a bank account class and a 0.05 interest rate.

Explore Python for everyone: master object-oriented design concepts, including inheritance, polymorphism, encapsulation, and interface, through practical demonstrations of subclassing, method overriding, hiding data with underscores, and abstract methods.

Learn how Python modules organize and reuse code by saving definitions in files and importing them with import or from, then access elements via dot notation, including built-in modules.