Master Python - From beginner to professional

Install Python with Anaconda and Jupyter Notebook, set up a code editor, and learn to download Windows, Mac, and Linux installers while choosing Visual Studio Code or PyCharm.

Explore the command line and the command line interface (cli); learn cross-platform navigation with cd, pwd, dir, and ls, and prepare to run Python scripts in the terminal.

Learn how to store and reference data with variables in python, using the equal sign to assign values like first_name, and practice changing variable values to see dynamic code behavior.

Explore python's built-in data types and variables, including numbers, strings, booleans, lists, tuples, dictionaries, and sets, to build a strong foundation for future projects.

Master string membership in Python using the in and not in operators to test for characters or substrings within strings. Understand case sensitivity, booleans, and variables.

Learn to slice lists in Python using start, end, and optional step values. Discover negative indexing and how to obtain sublists with clear, efficient code.

Explore how to modify mutable lists in Python using the assignment operator, change a single element by index (the first item), or replace multiple items with slicing.

Explore practical list operations in python, including len for length, range for sequences, zip for pairing data, and index and count for search and tally.

Use the in operator to check if a value exists in a list, tuple, or string, and use not in for inverse checks in conditional logic.

Learn how to convert strings to lists and back in Python using split and join, including splitting on commas and spaces, and unpacking results into variables.

Master Python lists by applying powerful techniques to store data efficiently, access it in multiple ways, and use a range of list methods before moving to the next data structure.

Define dictionaries with curly braces and key-value pairs, using immutable and unique keys. Create dictionaries from lists with zip and dict, and mix values like strings, numbers, and lists.

Learn how to access dictionary values using keys with square brackets and the get method. Explore handling missing keys with key errors versus None returns.

Remove items from dictionaries using pop, pop item, clear, and del; learn how values or tuples are returned, handle missing keys with a default, and preserve the dictionary for use.

Discover tuples in Python, an immutable data structure distinct from lists, and learn how to create an empty tuple, assign with parentheses, and check its type with type().

Learn to pack values into a Python tuple and unpack them into individual variables, handling matching element counts and unpacking errors to build flexible data handling.

Discover what a set is: an unordered, unique collection of immutable elements; the set itself is mutable and supports adding, removing, and operations like union, intersection, and symmetric difference.

Explore the set difference operation in Python to get items unique to one set relative to another, using minus operator and the difference method for A or B.

Explore symmetric difference, returning items in either set a or b but not shared values, using the carrot operator or symmetric_difference method; results are the same regardless of order.

Explore Python control flow by using boolean expressions and relational operators to guide program decisions, evaluating conditions from top to bottom and executing corresponding code.

Learn how to use Python if statements with boolean expressions and variables, apply and, or, not operators, and build conditional logic for real-world scenarios.

Learn why indentation matters in Python, where leading whitespace defines code blocks and guides control flow, with best practices like four spaces and no mixed tabs.