TL;DR Iterators provide a sequence interface to Python objects that’s memory efficient and considered Pythonic. To support iteration an object needs to implement the iterator protocol by providing the __iter__ and __next__ dunder methods.
2023-01-14
Logging is a very useful tool in a programmer’s toolbox. It helps you develop a better understanding of the flow of a program It helps you discover scenarios that you might not even have thought of while developing
2023-01-11
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 $\rightarrow$ 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 $\rightarrow$ plain tuples, collections.
2023-01-05
Basic usage import argparse def get_args_parser(): # set up a parser parser = argparse.ArgumentParser(description=f"{program_description}") # define parsing rules and operations for different arguments # parser.add_argument() # ... return parser if __name__ == '__main__': parser = get_parser() # parse command line args = parser.
2023-01-04
TL;DR You need to store arbitrary objects, potentially with mixed data types? $\rightarrow$ 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