Python for Beginners: Become a Confident Python Programmer

Explore the fundamentals of Python: what Python is, why it's popular, and write your first program 'Hello World' while learning basic syntax, print, variables, and indentation.

Set up a Python project in Visual Studio Code and write your Python file to print hello world with the print function, then use a variable to print its value.

Learn how to use Python comments to explain code, maintain readability, and disable code during testing, covering single-line hash comments and multi-line triple-quoted blocks.

Learn to run a Python program from the command line using python3, navigate directories with pwd and cd basics, and compare with the VS Code run button.

Learn to create and name variables in Python, with snake_case and uppersnake conventions. Explore types like text, numbers, booleans, and constants, with examples such as username, userage, isActive, and pi.

Explore Python data types such as int, float, string, and boolean, and learn how variables infer types and how to check them with the type function.

Explore strings in Python, learn that strings are sequences of characters created with quotes, and understand immutability, where modifying a string creates a new object and triggers garbage collection.

Learn to create Python strings with single, double, and triple quotes, enabling multi-line text with triple quotes. Understand that strings remain immutable; demonstrated in Visual Studio Code.

learn essential Python string methods, including lower and upper, find and count, starts with and ends with, plus replace and strip, with practical examples.

Master Python string slicing to extract parts of a string using start and stop indices, where the start is included and the stop index is excluded.

Explore Python operators, including arithmetic, assignment, comparison, and logical operators, and learn how the plus symbol operates on operands to perform actions.

Explore arithmetic operators in Python with practical examples of addition, subtraction, multiplication, division, exponent, and modules operator, including outputs and a hands-on code demo.

Learn Python comparison operators—greater than, less than, equals to, not equals to, and their greater than equals to and less than equals to—returning boolean results through hands-on Udemy labs.

Master Python's logical operators and, or, by learning to combine comparison conditions to form boolean decisions, with practical examples and hands-on labs.

Take user input in Python with input(), using prompts to capture strings and convert them to int or float, then print the value and its type.

Discover how the Python if statement evaluates a condition to execute or skip code, using indentation and a colon, with an intro to else block.

Define and use the if-else statement to provide a plan B when conditions fail, illustrated by a score example that prints pass or fail and always prints program is completed.

Learn to use if, elif, and else in Python to handle multiple grades, with top-to-bottom evaluation and else as the default option.

Learn how Python's match-case simplifies handling multiple conditions, improving readability over if-else with real-world examples like HTTP status codes and a traffic light.

Master Python's match-case syntax by building a program that matches a status variable against 200, 301, and 404, printing corresponding messages and a default status unknown when no case matches.

Learn to iterate through a string with a for loop in Python, treating the string as a collection of characters and print each character one by one.

Learn how Python while loops work by counting up to five with a variable. The lesson shows preventing infinite loops by incrementing count and stopping when the condition is false.

Explore the differences between for loops and while loops. Use for loops when you know how many iterations or to iterate collections; use while loops when a condition changes.

Explore Python collections, including lists, tuples, dictionaries, and sets, as you extend your data type knowledge with practical examples and coding practice.

Learn how to create an empty Python list, append items, and access elements by index, including using negative indices and handling index errors.

Learn how to create a Python list containing multiple data types, update items by index, delete items with del, print results, and append duplicates to demonstrate list operations.

Discover how Python sets store unique elements without preserving order, emphasize immutable elements, and allow add and remove operations without updating existing items, with syntax using curly braces.

Create a set of fruits and add items, noting duplicates are ignored. Remove items and loop over the set to print each fruit, acknowledging that set order is not preserved.

Explore Python tuples as immutable, ordered containers that can hold mixed types. Compare them to lists, and learn packing, single-item trailing comma rules, indexing, slicing, and looping.

Learn to create and access tuples, use indexing and slicing, and iterate with for loops, then see that tuples are immutable and disallow adding or removing items.

Master Python dictionaries by using key-value pairs with unique, immutable keys and flexible values, and learn how dictionaries are mutable for creating, accessing, updating, adding, and deleting items.

Create a Python dictionary for a user profile with key-value pairs like name, age, and country, then retrieve values by keys and note potential updates.

Celebrate your progress in the Python programming bootcamp for beginners, stay motivated as you learn new skills, and explore additional Python, Java, Git, and Selenium courses to deepen your journey.

Learn to write reusable Python code by defining functions with the def keyword, naming them, using parentheses and a colon, and indenting the body for reuse and easier debugging.

Learn how to convert hard-coded functions into parameterized ones by passing numbers and names as parameters, enabling flexible addition and dynamic greetings.

Learn how to create Python functions that return values using the return keyword instead of printing results. See how sum returns a value and stores it in result for reuse.