Python asyncio.Semaphore: Limit Concurrency
Control how many coroutines enter a section simultaneously and protect downstream resources.
Lists, tuples, dictionaries, and advanced data structures
Control how many coroutines enter a section simultaneously and protect downstream resources.
Distribute work among coroutines with backpressure and accurate unfinished-task accounting.
Turn task dependencies into a valid execution order and detect cycles before work starts.
Coordinate producers and consumers across threads without manually locking shared lists.
Find insertion points with binary search and keep modest lists ordered without sorting the entire sequence again.
Define typed contracts and decode JSON into validated objects without confusing fast parsing with business validation.
Understand API differences, supported types, and compatibility checks before adopting orjson in a Python application.
Build efficient priority queues with heapq, resolve equal priorities safely, and learn when PriorityQueue or bisect is the better tool.
Master sorted(), list.sort(), and key to order numbers, strings, dictionaries, and objects by one or several criteria safely.
Master data structures and algorithms in Python. Complete guide with lists, stacks, queues, trees, graphs, sorting and searching algorithms. Practical code examples for real projects.
Master Python collections module: Counter, defaultdict, namedtuple, deque, OrderedDict, and ChainMap. Complete guide with practical examples and best practices.
Master Python zip(): join lists, create dicts, unzip with zip(*), and iterate in parallel. Complete guide with practical examples for real-world use.