pythonANYlistappend
python
items.append(value)Python Data Structures
Lists, tuples, dictionaries, sets, deque, Counter, defaultdict, heapq, and collection idioms.
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Lists
List operations and idioms.
pythonANYlistextend
python
items.extend([4, 5, 6])pythonANYlistinsert
python
items.insert(0, value)pythonANYlistslice
python
subset = items[1:4]pythonANYlistslicereverse
python
reversed_items = items[::-1]pythonANYlistsort
python
items.sort(key=str.lower, reverse=False)pythonANYlistsort
python
ordered = sorted(items)pythonANYlistremove
python
items.remove(value)pythonANYlistpop
python
last = items.pop()pythonANYlistcount
python
count = items.count(value)Dictionaries
Dictionary lookups, merging, and comprehensions.
pythonANYdictget
python
theme = settings.get("theme", "light")pythonANYdictsetdefault
python
items = grouped.setdefault(category, [])pythonANYdictmerge
python
merged = defaults | overridespythonANYdictmerge
python
config |= extra_configpythonANYdictitems
python
for key, value in data.items():
print(key, value)pythonANYdictcomprehension
python
squares = {n: n * n for n in range(5)}pythonANYdictcomprehension
python
inverse = {value: key for key, value in mapping.items()}Sets and tuples
Set algebra and tuple-style records.
pythonANYsetunion
python
combined = a | bpythonANYsetintersection
python
common = a & bpythonANYsetdifference
python
only_a = a - bpythonANYsetdifference
python
changed = a ^ bpythonANYsetsubset
python
is_subset = a <= bpythonANYtuplecollections
python
from collections import namedtuple
Point = namedtuple("Point", ["x", "y"])
p = Point(10, 20)Queues, heaps, and specialized containers
Standard-library collection helpers.
pythonANYdequequeue
python
from collections import deque
queue = deque(["a", "b"])
queue.append("c")
item = queue.popleft()pythonANYcountercollections
python
from collections import Counter
counts = Counter(words)
common = counts.most_common(3)pythonANYdefaultdictcollections
python
from collections import defaultdict
groups = defaultdict(list)
for user in users:
groups[user["role"]].append(user)pythonANYheapqpriority-queue
python
import heapq
heap = []
heapq.heappush(heap, 5)
smallest = heapq.heappop(heap)More in Python
Python Standard Library Patterns
itertools, functools, json, datetime, uuid, regex, subprocess, typing, and enum recipes.
Python OOP and Modules
Classes, dataclasses, inheritance, properties, abstract base classes, modules, and package patterns.
Python Strings, Files, and Exceptions
String handling, file I/O, pathlib, JSON, and exception-handling patterns.
Python Functions and Comprehensions
Functions, parameters, lambda, decorators, comprehensions, generators, and functional helpers.
Python Cheat Sheet
Core Python syntax, control flow, operators, collections, and everyday language patterns.
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