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Important Methods in Python You Should Know
Working with Python collections becomes much easier when you understand their built-in methods.
Here’s a quick cheat sheet covering three essential data structures:
1. Set
add() — Add an element
discard() — Remove an element without raising an error if it is missing
union() — Combine sets
intersection() — Find common elements
issubset() — Check whether a set is a subset
2. Dictionary
get() — Retrieve a value safely
keys() — Access dictionary keys
values() — Access dictionary values
items() — Get key-value pairs
update() — Add or update entries
3. List
append() — Add an element at the end
extend() — Add multiple elements
insert() — Add an element at a specific position
sort() — Sort elements
reverse() — Reverse the list
Python Tip: Choose the right data structure for your task. Lists are great for ordered collections, sets for unique elements, and dictionaries for key-value mappings.
Save this cheat sheet for your next Python project!
Important Methods in Python You Should Know Working with Python collections becomes much easier when you understand their built-in methods. Here’s a quick cheat sheet covering three essential data structures: 1. Set add() — Add an element discard() — Remove an element without raising an error if it is missing union() — Combine sets intersection() — Find common elements issubset() — Check whether a set is a subset 2. Dictionary get() — Retrieve a value safely keys() — Access dictionary keys values() — Access dictionary values items() — Get key-value pairs update() — Add or update entries 3. List append() — Add an element at the end extend() — Add multiple elements insert() — Add an element at a specific position sort() — Sort elements reverse() — Reverse the list Python Tip: Choose the right data structure for your task. Lists are great for ordered collections, sets for unique elements, and dictionaries for key-value mappings. Save this cheat sheet for your next Python project!
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