Python Bootcamp: Learn to Code with Fun Projects

Install python and set up your development environment, including the interpreter, terminal usage, and Visual Studio Code workflow, then create and run test.py to print hello world.

Store arithmetic results in variables while learning Python, using snake_case names and clarifying memory behavior; run code with Shift+Enter and print values.

Explore how variables store values in memory and how to reference them in Python. See how the print function displays results of arithmetic, including addition, subtraction, multiplication, division, and exponentiation.

Master Python data types: integers, floats, strings, booleans, and variables, and learn how their operators, concatenation, and boolean arithmetic behave.

Explore Python data types and variables by building a combined string from name, age, and a boolean freelancer flag, using str() to concatenate properly and print a single message.

Explore how Python overwrites variables with sequential assignments, compute sums with print, and use multiline assignment to assign multiple values on one line, while recognizing undefined variables and string concatenation.

Challenge yourself with variable value assignments, compute number one to the power of number two, and print a dog's details using name, age, breed, and is injury free.

Explore string formatting options in Python, from concatenation to the format method, percent formatting, and f-strings, with examples using variables like name, age, breed, and is injury free.

Explore simple comparisons by using if statements to evaluate two numbers with operators like <, >, ==, <=, and print true or false results with f-strings.

Master if statements in Python by using boolean conditions, comparisons, and else/elif branches to control code flow and print results.

Explore how indentation governs if statements and master if, elif, and else order. Learn to compare numbers, handle multiple conditions, and print outcomes with else fallbacks.

Explore how to use if statements and string comparisons in Python, including case sensitivity, not equal, and, or, with numeric examples and the impact of brackets on operator precedence.

Practice building if statements in Python by solving a hands-on exercise that uses and and or operators, length, and string indexing to predict boolean results.

Explore how the not operator flips boolean results and drives conditional logic with if statements, numeric comparisons, and string equality in Python.

Learn how to use the input function to prompt users, capture strings, convert them with int for numbers, and print interactive results using f string.

Learn how to transform user input into strings, integers, floats, and booleans in Python using str, int, float, and bool, and see how type conversions affect variables.

Practice getting user input to guess a number from 1 to 10, generate random 1–10 with randint, and use if statements to declare a winner or joker, else you lost.

Master while loops in Python to repeat code under a condition or run indefinitely, and stop safely with break. Increment a counter and print progress with f-strings to visualize execution.

Continue exploring while loops in Python by building a counter up to 200, using constants, incrementing, and checking even or odd numbers with modulo, printing results.

Explore how a while loop handles even and odd numbers, using a counter, an if condition, and the continue keyword to skip ranges 100–400, then compare continue with break.

Understand how indentation in Python, especially four-space blocks, governs whether hello world prints inside the while loop or after it, and how continue, break, and if statements shape the flow.

build a Python calculator with an infinite while loop, input two numbers, choose +, -, *, or /, and print the result. quit by pressing q; handle invalid input with prompts.

Improve your assignment by validating user input as numeric, using string methods like strip and lower to clean data. Learn how to handle value errors before performing arithmetic.

Define a function with def, learn the difference between functions and methods, and print user info with f-strings in snake_case to demonstrate reusable code.

Learn how function parameters make code reusable by passing arguments like name and age to a print user info function, distinguishing parameters from global variables.

Enhance a function by adding a boolean flag for age in days versus years, use a default parameter, and demonstrate named and keyword parameters for flexible, reusable code.

Master named parameters in Python, switching from positional to keyword arguments to prevent misordered calls and using defaults like birthplace to simplify function use.

Learn debugging to stop execution, inspect variables and memory, and trace function calls with breakpoints and step controls (step over, into, out) using the call stack.

Practice debugging Python code by stepping through function calls, exploring call stacks, and mastering scope and non-local variables to understand prints and variable mutations.

Master Python debugging by tracing long functions, using breakpoints, and inspecting local and global variables while mastering nonlocal and global scope.

Learn how to return values from functions and avoid globals with add and welcome examples, while understanding Python's dynamic typing and the role of linting extensions.

Annotate function parameters with explicit types, including int, float, string, and bool, and declare a return type. Explore named parameters, defaults, and how type hints interact with Python’s dynamic typing.

Install pylint to enforce good coding practices and address missing docstrings; wrap code in a main function to avoid globals and disable specific warnings.

This lecture demonstrates enabling type checks with Mypy alongside Pylint, configuring a global Pylint rc, and annotating variables and functions to surface type errors in Python code.

Learn to implement a fib function that generates a fibonacci sequence with a while loop, starting from 0 and 1, for a given length.

Learn a fibonacci sequence solution with input validation, an iterative loop, sequence construction, and printing results, including default length.

Clarify the None type in Python by fixing a Fibonacci function, addressing Pylint warnings about return statements, and explaining None versus null while hinting at recursion for future lessons.

Learn recursion by building a self-calling function, observe the call stack, and implement a stop condition to avoid maximum recursion depth errors.

Explore recursion with parameters in Python, replacing global values, debugging step by step, and predicting prints like hello recursion and returning values.

Rework the Fibonacci function into a recursive implementation, replacing the while loop and propagating the sequence through parameters, while guiding debugging and multiple test runs.

Learn to handle numeric input safely by adding an is_float check using try and except, preventing value errors when converting strings to floats.

Explore how to create and use lists in Python, from simple name and fruit lists to mixed-type lists, access by index, and use the len function to measure length.

Learn to extract sublists from a Python list using range and slicing, with inclusive start and exclusive end. Explore negative indices and checking membership with in via user input.

Explore list operations by indexing, creating new lists from existing ones using ranges, iterating with a while loop, finding indices, and appending random numbers to even positions.

Learn how to remove items from a python list using pop, delete, and index concepts, with practical examples of appending and removing John, Jess, and David.

Explore how lists are mutable by showing a default list being appended across function calls, so outputs evolve beyond 1, 2, 9, unlike immutable strings that stay 1, 2.

Learn to implement recursive fibonacci with a growing list, avoiding strings and unintended parameter updates. Build the sequence with list append, None initialization, and index-based computation.

Reworks fibonacci to use a list without recursion, in Python, with a while loop and non-negative length check, returning the sequence initialized as [0, 1].

Explore immutable versus mutable data types in Python, showing how strings and numbers create new values on modification while lists mutate in place, with memory address concepts and examples.

Illustrate how variables store memory addresses that point to values, and how data, in strings and numbers, are represented in binary and hex behind the scenes.

Build a Python user list with add, remove, move, and print functions, starting from John and Peter, controlled by an infinite loop using options a, r, m, and p.

Learn to manage a Python list by adding, removing, and moving users using indices, with a simple loop that prints the list and handles user options add, remove, move, print.

Mastering for loops for iterating over lists and tuples, compare with while loops, print each name, and explore inner loops, break, continue, and string indexing.

Discover how to get the current index in a for loop using enumerate. Learn to print name with its index and even iterate over each letter.

Learn to use Python's list index method to locate an item's position and move items by name, using initial and target names, and handle not-in-list errors and a quit option.

Learn to sort lists in Python using the sort method, including sorting numbers and names, and controlling order with reverse. Explore handling arbitrary arguments with *args and keyword-only parameters.

Implement and test a Python bubble sort that sorts lists from largest to smallest, using nested loops and swapping to understand the algorithm.

Explore implementing bubble sort with nested for and while loops to sort a list from largest to smallest by iterating items, comparing pairs, and swapping as needed. Understand indices, length calculations, and debugging tips shown to verify results and prepare for performance improvements in the next lecture.

Explore optimizing bubble sort by tracking item counts and iterations, and implement an early exit using an is_sorted flag to stop passes when a list is already sorted.

Implement a reverse parameter in the bubblesort algorithm to flip the number comparison during sorting. Set reverse to true to sort smallest to largest by flipping the condition.

Learn the difference between tuples and lists in Python, focusing on immutability, mutability, creation methods, indexing, and when to use each for data grouping and function return values.

Explore how to define a Python class as a blueprint, instantiate objects with __init__, and access instance attributes using the dot syntax, such as first name and last name.

In the Python bootcamp, simplify a class by removing the last name (and optionally the age) and manage a nodes list with add, print, and remove by index.

Learn to improve Python class methods with chaining by returning self and adding nodes via *args. Explore magic methods, tuples, type hints, and built-in functions in the standard library.

Learn to create a database class to store and display person objects, with methods to add a single person or multiple persons via a tuple, and print the full list.

Objects from a class are mutable by default, so assigning one to another links to the same instance and changes propagate; printing shows a memory address rather than attributes.

Explore Python's magic methods by implementing __str__ to customize how Person objects print, converting instances to meaningful strings with f-strings and controlling memory-address outputs.

Practice Python magic methods like __init__ and __str__ in a database app, managing a person list with add, remove, update, switch, and print by index, using multi-line strings and strip.

Develop a Python-based person database by implementing add, remove, update, and switch operations, using index-based access and input prompts for name and age.