Explore Python for data analysis and data science, explain data types, and show how attributes categorize data. Create and use variables essential for Python programming.

Explore Python data types—integers, floats, strings, and booleans—and learn to use the type function in Jupyter notebooks to identify data types and handle strings with quotes.

Explore Python string methods such as upper, lower, title, and capitalized to modify text, understand string immutability, and use index and strip to analyze and clean strings.

Learn how to manipulate strings with Python by concatenating with or without spaces, repeating strings using multiplication, and testing membership with in and not in to yield booleans.

Learn to retrieve values with slides, use the format function, and convert data types, then build a bill payment system showing account balance.

Explore slicing in Python to retrieve characters by index from Wonderwoman, including from the start, from the end with negative indices, and with step sizes to form substrings.

Learn to use Python's format function to substitute placeholders with variables, match placeholder count to values, and leverage index positions to control which value appears in the string.

Learn to cast data types in Python with float, int, and str, converting numbers, booleans, and text for consistent data handling in data analysis and data science.

Build a bill payment system in Python by collecting the user name, verifying identity, and displaying a personalized account balance and due date using variables, input, and print statements.

Explore Python data structures that store a collection of related data, and learn about this data structure and its list methods.

Explore Python list methods such as reverse, append, insert, count, and remove on a shopping list, and contrast mutable lists with immutable strings using the len function.

Learn Python control flow with if statements, while and for loops, break and continue, and functions, then apply these concepts by building a guessing game.

Learn to build a Python guessing game by creating number and greetings variables, prompting name and play inputs, printing greetings, and using if conditions to evaluate guesses.

Add a while loop and a repeat flag to the guessing game, prompting until the correct number is guessed and handle a no-play choice with a conditional.

Explore for loops in Python to iterate over letters and numbers using range, print values, and use if statements to label even and odd numbers.

Explore the topal data structure and review tuple methods to reinforce Python practices for data analysis and data science.

Explore Python tuples in Python by contrasting them with lists and variables, noting immutability and creation with parentheses. Practice len, max, min, concatenation, repetition, and converting lists to tuples.

Explore dictionaries as a Python data structure that associates unique keys with values, using the contact example to create, access, update, delete, and check keys (case sensitive) and values.

Define a function with def, name it to describe its task, and the return keyword is optional. Explore positional and keyword arguments, defaults, and examples like add and bill.

Mastering packing and unpacking in Python using * and ** for lists, tuples, and dictionaries, with examples of function arguments, printing, and variable-length inputs.

Learn how to use keyword arguments (kwargs) in Python with flexible function signatures, unpack dictionaries, and print key-value pairs like alcohol: wine and drinks: lemonade.