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Set

As explained in Python Workout: 50 ten-minute exercises

A set is a Python collection of distinct, unordered elements.

A set is a Python collection of distinct, unordered, hashable elements. Use it when a program needs uniqueness or efficient membership lookup, such as filenames, email addresses, postal codes, or IP addresses. section 4.2

Choose the operation that matches the data-cleaning or comparison task:

  • Create a set from a sequence with set(values), or add items individually with add and in groups with update. section 4.19
  • Remove duplicates automatically; a set retains each value only once. section 4.19
  • Combine dictionary keys with union (|), then iterate once over the resulting unique keys. section 4.14
  • Remember that set elements must be hashable, so a list cannot be inserted as one set element. section 4.19

Count unique words while reading lines

unique_words = set() for line in lines: unique_words.update(line.split()) unique_count = len(unique_words) The set collects words from every line without repeated entries, and len reports the number of distinct words. section 5.12

all_keys = first.keys() | second.keys()

Inspect the concise dictionary-key union used to gather every distinct key from two dictionaries. section 4.14

How Python Workout: 50 ten-minute exercises covers it

How deep it goes
Explains construction, mutation, uniqueness, hashability, key union, and practical use, without descending into implementation internals.
Examples
Demonstrates duplicate-number removal, dictionary-key differences, unique-word counting, log analysis, file extensions, and vowel-based word filtering.
What it assumes
Assumes familiarity with Python sequences and dictionaries while reinforcing how to select data structures for practical problems.
What you can do after
Apply it via Python's set, add, update, union, and length operations to deduplicate data and compare collections.
How it connects
Connects sets with dictionaries, dictionary views, lists, iterators, files, and comprehensions.

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