The Complete Machine Learning Bootcamp for Beginners 2025

Learn how to declare variables in Python, assign values like John Doe, and print results using the print function. Explore strings, integers, floats, booleans, and descriptive snake_case names.

Learn to name Python variables with snake_case, using underscores to join two words in lowercase, and compare conventions with camelCase in languages like Swift.

Learn how to define functions in Python with the def keyword, name them in snake_case, call them with parentheses, and reuse code through indentation.

Learn to design flexible functions by passing arguments like name into greet, create an add function with two parameters, and preview returning values in future lessons.

Learn how to return the value of a plus b from a Python function, capture it in a variable, and pass it to another function, stopping execution after return.

Learn to return multiple values from a function using tuples, access them as airport name and code, and use optional arguments with default values to keep calls flexible.

Convert an even-odd check into a reusable function called is even that takes a number, uses modulo two to return true or false, and enables code reuse.

Learn how arrays, or lists, store multiple items of the same type using square-bracket syntax, access by zero-based indices, and handle errors like index out of range.

Discover dictionaries as a key-value data type and learn Python syntax with airport and car examples, using snake_case keys, booleans, and arrays of dictionaries.

Learn to loop through dictionaries in Python by iterating arrays of dictionaries, using keys, values, and items to access data like airport codes.

Explore classes as blueprints for objects, with attributes like make, model, vin number, and color, and learn to define and use Python classes to create concrete objects.

Learn how to define a Python class with a constructor, use self to set attributes like make, model, and color, and create objects by passing arguments or using defaults.

Demonstrate how Python handles exceptions with try and except, catching zero division and value errors. Learn to guide users with targeted messages and a final generic catch-all to prevent crashes.

Learn to catch multiple exceptions in Python with try and except, including zero division and value error; use else when no errors occur and finally to release resources.

Learn how to create and raise custom exceptions in Python, such as insufficient funds error, using inheritance from Exception, and handle them with try and except.

Learn how to read, write, and append files in Python, handle json data, and manage todo.txt with open modes and the with statement for automatic closing.

Learn how to append user-entered items to a to-do text file in Python using a while loop, proper file modes, and optional indexing to display items on separate lines.

Test driven development writes unit tests first to guide the software architecture, revealing needed classes and methods, then implements code, passes tests, and refactors in cycles.

Use test driven development for medium to large projects, especially greenfield development; for brownfield or legacy code, add unit tests for new features.

Identify why bad unit tests waste effort by testing language features, and write independent, automatic, repeatable, readable tests that focus on business goals and stories, and that can be refactored.

Practice test driven development in Python by building a bank account test using unittest, inheriting from TestCase, and validating deposit behavior with asserts under a main guard.

Design and test a bank account class in Python, implement initialization and deposit, import the class, and validate unit tests to catch balance errors.

Write a withdraw test for a bank account, start function names with test, and use a setup function to initialize a fresh account before each test, with balance assertions.

Learn how to write tests that expect exceptions, such as insufficient funds when withdrawing from a bank account, by using assert raises and custom error handling.