Why is any (True for … if cond) much faster than any (cond for …)?

by

The first method sends everything to any() whilst the second only sends to any() when there’s an odd number, so any() has fewer elements to go through.

More Related Contents:

  1. Is doing multiplication multiple times or assigning to a variable faster?
  2. pandas loc vs. iloc vs. at vs. iat?
  3. Are tuples more efficient than lists in Python?
  4. What is the best way to generate all possible three letter strings?
  5. Why is [] faster than list()?
  6. Why is numpy’s einsum faster than numpy’s built in functions?
  7. Find out how much memory is being used by an object in Python [duplicate]
  8. Speed comparison with Project Euler: C vs Python vs Erlang vs Haskell
  9. What’s a faster operation, re.match/search or str.find?
  10. Cost of exception handlers in Python
  11. Which is faster in Python: x**.5 or math.sqrt(x)?
  12. File read using “open()” vs “with open()” [duplicate]
  13. It is more efficient to use if-return-return or if-else-return?
  14. Most efficient way to forward-fill NaN values in numpy array
  15. [] and {} vs list() and dict(), which is better?
  16. Performance with global variables vs local
  17. python: deque vs list performance comparison
  18. multiprocessing.Pool() slower than just using ordinary functions
  19. Efficiently Calculating a Euclidean Distance Matrix Using Numpy
  20. Is & faster than % when checking for odd numbers?
  21. Get difference between two lists with Unique Entries
  22. Fastest save and load options for a numpy array
  23. Count() vs len() on a Django QuerySet
  24. Try/catch or validation for speed?
  25. What is the fastest way to output large DataFrame into a CSV file?
  26. How expensive are Python dictionaries to handle?
  27. Python Numpy Data Types Performance
  28. Python FAQ: “How fast are exceptions?”
  29. Python: is “except KeyError” faster than “if key in dict”?
  30. how to speed up a vector cross product calculation

Leave a Comment