Python: Difference between revisions
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== Types == | == Types == | ||
* also see [[static types]] | |||
* not the panacea their supporters claim they are | * not the panacea their supporters claim they are | ||
* in particular, not being able to type exceptions is a design | * in particular, not being able to type exceptions is a design omission rooted entirely in fear | ||
* rarely actually catch bugs | * rarely actually catch bugs | ||
** although useful when refactoring, as you can chase errors in an ide | ** although useful when refactoring, as you can chase errors in an ide | ||
* unit tests catch more bugs | * unit tests catch more bugs while adding more value | ||
* potentially useful in documentation, although unclear if worth the maintenance burden | * potentially useful in documentation, although unclear if worth the maintenance burden | ||
| Line 25: | Line 26: | ||
* numpy gets close to native speed | * numpy gets close to native speed | ||
* cython when you need to do something numpy doesn't support | * cython when you need to do something numpy doesn't support | ||
[[Category:Programming]] | [[Category:Programming]] | ||
Latest revision as of 22:22, 22 February 2025
The best language.
Walk the Line (2005)
Waylon Jennings: How come you ain't ever tried this kind of pickin', Luther?
[Picks a song on his guitar]
Luther Perkins: Well, Waylon, whatever you're lookin' for, I've already found.
Types
- also see static types
- not the panacea their supporters claim they are
- in particular, not being able to type exceptions is a design omission rooted entirely in fear
- rarely actually catch bugs
- although useful when refactoring, as you can chase errors in an ide
- unit tests catch more bugs while adding more value
- potentially useful in documentation, although unclear if worth the maintenance burden
High performance
- numpy gets close to native speed
- cython when you need to do something numpy doesn't support
