Python Tips
@python_tips
Programming tips, tricks, and news for the Python programming language.
Was dir gefallen könnte
I just got Oi! the Boat Records 14 song sampler FREE from @oitheboat lplinked.me/nD6KE1 /via @limitedpressing
When applicable, place import statements inside functions to restrict their visibility and/or reduce initial startup time.
Python 3.2 alpha 2 released: http://www.python.org/download/releases/3.2/
Avoid using the addition "+" operator for string concatenation, as it is very expensive. Use str.join() instead.
Sorry that there haven't been any updates for awhile. My computer fried, but I just got a new one! Updates will now resume.
When possible, replace 'if/else' statements with 'try/except'. This will significantly increase performance.
Python 2.6.6 has been released: http://www.python.org/download/releases/2.6.6/
With regard to programming style, Python code should favor readability over conciseness.
Regular expressions are powerful, yet very expensive. Try using starswith, endswith, isdigit, etc. before using regular expressions.
Python 2.6.6 release candidate 2 (maintenance release) now available: http://www.python.org/download/releases/2.6.6/
Use list comprehensions instead of map or filter wherever possible. List comprehensions are easier to work with and much easier to read.
Python 2.6.6 Release Candidate 1 available for download now: http://www.python.org/download/releases/2.6.6/
List comprehension are faster than regular for-loops; therefore, use them for small, compact loops.
When possible, replace 'if/else' statements with 'try/except'. This will significantly increase performance.
Never use a constructor that takes optional arguments. This is an easy mistake to make, yet it can cause debugging nightmares.
While optimization is important, accuracy is paramount. First make it right, then make it fast.
Avoid dots and use local variables; store object methods in local variables and call the local ones.
import statements can be used almost anywhere; therefore, you may place them inside functions to reduce initial startup time.
Using 'from __future__ import division' will allow Python to always return a float as the result of integer division.
United States Trends
- 1. Good Friday 43.6K posts
- 2. #FridayVibes 4,147 posts
- 3. Dorado 4,151 posts
- 4. Red Friday 1,804 posts
- 5. Flacco 96.2K posts
- 6. Happy Friyay N/A
- 7. Mamdani 241K posts
- 8. #Talus_Labs N/A
- 9. Cuomo 100K posts
- 10. Melly 3,597 posts
- 11. Justice 333K posts
- 12. #FridayMotivation 2,998 posts
- 13. #FridayFeeling 1,853 posts
- 14. #FursuitFriday 11.1K posts
- 15. Finally Friday 2,087 posts
- 16. Pence 88.7K posts
- 17. Tomlin 24.1K posts
- 18. Bolton 243K posts
- 19. Arc Raiders 3,058 posts
- 20. Berry 31K posts
Something went wrong.
Something went wrong.