Python Basics From Your Phone

Explore strings, integers, and floats as the three simple data types, using practical examples and string quotation rules—single or double quotes—to power an online store app.

Explore Python complex types: build lists with square brackets for homogeneous items like sales data, and dictionaries with curly braces for key-value pairs, with guidance on when to choose each.

Declare and use variables in Python, assigning values with the assignment operator. Organize related values with lists and clear variable names to support calculations and data access.

Explore how Python objects use methods on strings and lists, including capitalize, lower, find, and sort, with emphasis on arguments, mutability, and variable storage.

Compare strings and lists to understand mutability: strings are immutable and return new strings, while lists mutate in place with methods like sort.

Explore how functions like len, min, and max operate on strings, lists, and dictionaries, distinguishing them from methods and highlighting argument syntax and type errors.

Explore how Python differentiates logical errors from syntax errors, with examples such as type errors and attribute errors, and how error messages guide debugging.

Learn how to locate the exact Python methods you need using dir and help, explore strings with title and find, and discover builtins and code introspection for practical tasks.

Explore how strings power a real-world Python web app for weather forecasts, showing dynamic user input, string variables like place, and methods such as capitalize to format output.

Explore popular string methods in Python, including capitalize, replace, split, join, and isdigit, and see how strings are immutable in practical examples with file path operations.

Learn to extract parts of strings with Python by slicing, such as the first three characters with 0:3 and the three between indices 1 and 4 from Madrid.

Learn how to use negative slicing in Python strings to extract file extensions from the end, using -1 through -3 (and beyond) to get parts like .css or .png.

Explore slicing strings to extract a single character using positive and negative indexing, as shown with the cloud.png example and extracting the dot, with practical uses in file paths.

Learn how string formatting builds complete strings from literals and variables, using f-strings with curly braces to assemble URLs with base URL, place, and API key.

Explore how Python handles integers and floats, perform arithmetic, and apply the order of math operators, via a real-world app that generates a pdf invoice from Excel data.

Explore Python math operators by practicing addition, subtraction, multiplication, and division with integers and floats; learn floor division, modulus, and exponentiation in the Python shell.

Explore the order of operators in Python, highlighting precedence rules for parentheses, multiplication, addition, and exponentiation, with practical examples and quick calculations.

Learn the six Python comparison operators: less than, greater than, less than or equal to, greater than or equal to, equal to, and not equal to, and how they yield booleans.

Discover how boolean operators or and their interaction with comparison operators in Python yield true or false, illustrated by 1<2 and 4<3.

Apply Python number functions to variables, including round, floor via math, and sqrt. Convert between int, float, and str to handle user input and prepare values for output.

Explores Python lists and tuples, highlighting list mutability and immutable tuples. Demonstrates how a graphical user interface and a todo app use dynamic lists and fixed data like coordinates.

Access and slice items from lists and tuples, explore indexing from zero, and practice adding, removing, and replacing items with insert, remove, and pop.

Explore popular list and tuple methods in Python with a usernames list and a two-item username and password tuple; learn append, extend, index, count, and that tuples are immutable.

learn to create your own custom functions in python using def, inputs, and return; define a mini function, replicate min, and print outputs from a python file.

Learn to define and call Python functions, using a cube function to compute volume, and explore the anatomy of a function—keyword, name, parameter, argument, body, and return.

Learn how to define Python functions with multiple parameters, from cuboid volume to compound interest, using built-in and custom functions and applying the distance formula.

Define Python functions with default arguments using a greeting example and f-string formatting, and apply it by computing a final price with a default 20% tax.

clarify scope in Python by distinguishing global and local variables, using x and y as globals and area as a local variable inside the rectangle function.

Learn that a Python class acts as a blueprint to design new types, allowing you to create rectangle instances with methods like area and perimeter.

Design a rectangle class in Python, defining attributes and an area method. Create rectangle instances and compute their area, then draft a cuboid class with a volume method.

Learn how Python defines a rectangle class and instantiates it, uses the init method to set self attributes like width and height, then calls an area method to compute area.

Develop a rectangle class by adding area, perimeter, and is_square methods using self attributes, returning booleans; complete with an exercise to add a cuboid cube-checking method.

Explore Python magic methods, like __add__, and see how they enable operator overloading and syntactic sugar; implement __repr__ for readable object prints using rectangle and point examples.

Learn how the Python input function returns a string stored in a variable, and can be prompted and cast to float or int for Fahrenheit to Celsius, miles to kilometers.

Learn how to use if-else conditionals in Python to compare values, respond to user input, and handle strings with methods like strip for robust username validation.

learn if elif else conditionals in Python basics from your phone, using input and conversion to integer; print morning, afternoon, or evening and classify ages: child, teenager, adult, or senior.

Explore exclusive versus independent conditionals by validating emails: check for missing at, example.com domain, and banned lists, using independent if statements and an exit call to halt execution.

See how conditionals drive a Python program by validating a credit card in a hotel booking flow, using a dictionary of user data against a card database.

Explore how the app reads json data from a url, builds dictionaries with nested dictionaries and lists, and sends news via email to users.

Explore dictionaries in Python by creating them with curly braces and the dict() function, and organize key–value pairs like credit card data for readability and split across lines.

Explore complex dictionaries in Python, including nested dictionaries and lists, with keys and values, and learn how data from external json files can be accessed.

Explore accessing values from simple and nested dictionaries using keys and chain indexing. Practice retrieving country population data, such as India and USA, from multi-level structures.

Learn how dictionaries are mutable and how to add, modify, and remove key–value pairs, including nested structures, using dynamic data sources and the pop method.

Explore three essential dictionary methods in Python—keys, values, and items—and learn to convert their views to lists and iterate with for loops.

Create a dictionary from two Python lists by using zip or dict, mapping keys to values; extra items are ignored.

Explore for loops in a real program that reads Excel files and creates a pdf for each file, using glob to list files.

Learn to build a for loop in Python that processes each item. Apply it to lists, strings, tuples, and dictionaries, printing results and capitalizing names.

Learn to use for loops with lists and strings, and apply nested if conditionals. Control indentation to print items by length, with usernames less than nine characters and none types.

Learn to update a list with a for loop by building an updated list using append, multiplying each item by ten, while the original list remains unchanged.

Learn to create a new list with a single line using list comprehensions by applying an operation to each item, such as multiplying by ten or squaring values.

Explore list comprehensions with conditional if and else to apply actions only to numbers. Create a list mixing strings and numbers and derive a list of string lengths or zero.

Learn to iterate over two lists at the same time using a for loop and the zip function to pair corresponding items, producing outputs like John Smith.

Learn to iterate over dictionaries with data.items to access key-value pairs, print their contents with f-strings, and apply conditional logic for adults, grades, and nested conditions.