Sorting Dictionary Python dictionaries don’t have an inherent order. You can iterate over them just fine but there’s no guarantee that iteration returns the dictionary’s elements in any particular order。
2023-02-04
TL;DR queue.PriorityQueue stands out from the pack with a nice object-oriented interface and a name that clearly states its in- tent. It should be your preferred choice. If you’d like to avoid the locking overhead of queue.
2023-01-08
TL;DR collections.deque is an excellent default choice for implementing a FIFO queue data structure in Python list objects can be used as queues, but this is generally NOT recommended due to slow performance.
2023-01-08
TL;DR collections.deque provides a safe and fast general-purpose stack implementation. First choice! The built-in list type can be used as a stack, but be careful to only append and remove items with append() and pop() in order to avoid slow performance.
2023-01-08
TL;DR Use the built-in set type when looking for a mutable set. frozenset objects are hashable and can be used as dictionary or set keys. collections.Counter implements multiset or “bag” data structures.
2023-01-07
TL;DR You only have a few (2-3) fields Using a plain tuple object may be okay if the field order is easy to remember or field names are superfluous. You need immutable fields plain tuples, collections.
2023-01-05
TL;DR You need to store arbitrary objects, potentially with mixed data types? Use list (mutable) or tuple (immutable) You have numeric (integer or floating point) data and tight packing and performance is important?
2023-01-04
TL;DR Dictionaries are the central data structure in Python THe built-in dict type is “good enough” most of the time Specialized implementations, like read-only or ordered dicts, are also available in the Python standard library.
2022-12-19