Working with Python Dictionaries
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 Python programming from scratch
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 how to create, access, and modify nested dictionaries in Python. Build multi-level data structures and avoid the common pitfalls of shared references.
Learn how to iterate through lists, tuples, sets, and dictionaries in Python. Master for loops, unpacking, enumerate, and when to iterate over keys, values, or items.
Learn how the in operator works across Python collections. Understand the performance difference between lists, sets, and dictionaries for membership tests.
Learn Python's built-in functions that work across all collection types: len(), min(), max(), sum(), sorted(), reversed(), zip(), and enumerate().
Learn how to decide between lists, tuples, sets, and dictionaries. A practical decision guide based on ordering, mutability, uniqueness, and lookup needs.
Understand shallow vs deep copy across all Python collections. Learn when slicing and the copy method are enough, and when you need the deepcopy function.
A quick-reference guide to the most-used methods across Python lists, tuples, sets, and dictionaries. Learn which methods each type shares and which are unique.
Avoid the most frequent Python collection mistakes: aliasing instead of copying, modifying while iterating, using the wrong type for lookups, and shared inner lists.
Learn how Python assignment operators work, from basic assignment to compound operators that combine calculation and storage in one concise step.