Python for Beginners: Build Your First Python Programs

Explore how Python, an easy-to-learn language that reads like English, enables automation, data analysis, and machine learning through libraries for neural networks and matrix calculations across platforms like Raspberry Pi.

Explore Python data types and arithmetic, using print to calculate results with the order of operations, plus comments and variables to avoid magic numbers.

Explore variables in Python with real-world analogies, assigning values and naming boxes in lowercase with underscores, replacing magic numbers with descriptive variables for calculations.

Learn how to format text in Python using f-strings to insert variables like name and salary into messages, and practice with a hands-on exercise.

Learn how to create lists in Python, use a loop to traverse items, and add or remove items, while comparing regular lists (immutable), tuples (immutable), and dictionaries (fast searching).

Explore how to create and modify lists, append items, remove items, and move items between lists. Find indices and count occurrences, and discover regular lists, tuples, and dictionaries.

Explore tuples, immutable list-like structures in Python, and how they pair with lists to form a data matrix. Learn to group names, index elements, and use loops to process tuples.

Learn Python dictionaries by exploring keys and values, creating and updating with curly braces, and retrieving translations by key; apply a phone book example for fast data lookup.

learn how relational expressions power selection in python, comparing numbers and strings to produce true or false outcomes, then combine them with variables to print results.

Explore conditional branching with if, elif, and else in Python, including tests with temperature, shopping basket messages, and list membership.

Master boolean operators in Python with and and or. Explore temperature over 23 degrees Celsius, and at least two vacation days, or a car's age or mileage to decide.

Discover how functions in Python organize code and process information by taking inputs, returning outputs, and enabling reuse with examples like doubling numbers and unit conversions.

Learn to create and call Python functions, including celsius_to_fahrenheit, with parameters and return values, test calls and prints; explore raise_salary and add_bonus with a flexible factor.

Explore nested function calls in Python by composing raise salary and add bonus functions, then compare single-line and multi-line versions and learn return-first versus in-line calculations.

Validate function inputs before processing by building a pocket calculator with add, subtract, multiply, and divide. Use an early return to handle zero division with a friendly message.

Explore bundling code with Python functions, including parameterized invites, calling functions, printing results, and personalizing text with name parameters, while noting optional and named parameters and multiple return values.

Learn how to organize Python code as programs grow, leveraging built-in functions, modules, and the standard library, including the datetime module.

Explore Python's datetime and random modules, using today and now to work with dates and times. Create birth dates, calculate ages, and generate random numbers with randint.

Organize your Python code by creating modules to split growing scripts into readable parts, import the modules, and prefix calls with the module name for reusable code libraries.

Learn to read and write text files in Python, save and open files, handle overwriting and closing to release resources, and practice by creating and reading two quote files.

Learn to distinguish syntax errors from runtime exceptions, and master using try-except blocks to prevent crashes, handle divide-by-zero and file-not-found errors, and safely read and write files.

Learn Python basics, variables, data types, lists, loops, expressions, and functions through hands-on practice and scripts, and explore an additional course on object-oriented programming with Python.