The Developers Guide to Python 3 Programming

Discover boolean expressions and conditional statements in Python 3, using operators like ==, >, <, and !=. Build if and else blocks with proper indentation to control program flow.

Master Python conditionals by implementing if, else, and else-if chains to evaluate boolean conditions, handle ranges, and drive a calculator that adds, subtracts, multiplies, and divides based on user input.

Explore looping in Python 3 by using while and for loops to repeat actions, iterate over lists, strings, and dictionaries, and apply loops to sum numbers or process sequences.

Learn how to sum a list with a for loop, check membership with a contains function, and control loop flow using break and continue, plus for versus while looping.

Explore how objects model real-world data in Python using properties and methods, accessed by dot notation, and created via the constructor to build cars, lists, and other instances.

Explore how Python classes describe objects, create instances, and define properties and methods, using self and __init__ to set per-instance attributes like color and model.

Explore advanced object oriented programming in Python 3, focusing on inheritance, base and child classes, attributes and methods, and method overriding to customize behavior.

Explore advanced object oriented programming in Python, overriding parent methods, using super to call parent functionality, and inheriting from multiple classes for more specific behavior.

Discover how Python 3 uses packages and modules to organize code, import modules into programs, and leverage inheritance and overloading to design flexible classes.

Learn to import Python modules, including the built-in math module, access constants and functions with dot notation, and build your own modules and packages with __init__.py for organized code.

Learn to read and write files in Python 3, using open with r and w modes to persist data across runs, and explore installing packages via the Python Package Index.

Open and read a file of numbers, split lines, convert to integers, sum them, and print the result; the lesson shows persisting results by appending to a file between runs.

Explore Python exceptions, including index errors and key errors, how to raise and handle them with try-except blocks, and interpret tracebacks from arrays and dictionaries.

Develop robust Python code by using try-except blocks to catch specific exceptions like index error or key error, letting the program continue and raising custom exceptions when needed.

Explore the Python standard library and built-in modules, learn how to import them, and build practical programs that download web pages and handle input with exceptions.

Create a Python product inventory app using a product class, a loop for user commands, and the ability to add, list, and save products to a file with exception handling.

Learn to save and load product data to a file by converting between Python dictionaries and json strings, using dump and load to persist a list of products.

Learn to load and save products, implement robust exception handling for value errors and missing files, and compute the total value of all products across runs.