Copy Python Lists
Learn how to copy Python lists using slicing, the copy method, the list constructor, and the copy module. Understand shallow vs deep copies.
Learn Python programming from scratch
Learn how to copy Python lists using slicing, the copy method, the list constructor, and the copy module. Understand shallow vs deep copies.
Learn how to create, access, and modify nested lists in Python. Build grids and matrices, and understand how shallow copies affect multi-dimensional data.
Master Python list comprehensions to create, filter, and transform lists in a single line. Learn the syntax, common patterns, and when to use a regular loop instead.
Learn what Python tuples are, how they differ from lists, when to use them, and why immutability makes tuples the right choice for fixed collections of data.
Learn tuple packing and unpacking in Python. Master multiple assignment, swapping variables, star expressions for extended unpacking, and using unpacking in loops.
Learn what Python sets are, how they store unique unordered items, and when to use a set over a list or tuple for fast membership testing and duplicate removal.
Learn how to add items to a Python set with add() and update(), and remove items with remove(), discard(), pop(), and clear().
Master Python set operations: union, intersection, difference, and symmetric difference. Use both operators and methods to compare and combine sets efficiently.
Learn what Python dictionaries are, how they map keys to values for fast lookups, and why dicts are the backbone of data processing in Python.
Learn how to access dictionary values safely with get(), add and update entries, remove keys with pop() and del, and iterate over keys, values, and items.
Learn about Python dictionary view objects (keys(), values(), and items()) and how they provide a dynamic window into a dictionary's contents.
Learn Python's built-in functions that work across all collection types: len(), min(), max(), sum(), sorted(), reversed(), zip(), and enumerate().