1.3 KiB
While Codon's syntax and semantics are virtually identical to Python's, there are some notable differences that are worth mentioning. Most of these design decisions were made with the trade-off between performance and Python compatibility in mind.
Data types
-
Integers: Codon's
int
is a 64-bit signed integer, whereas Python's (after version 3) can be arbitrarily large. However Codon does support larger integers viaInt[N]
whereN
is the bit width. -
Strings: Codon currently uses ASCII strings unlike Python's unicode strings.
-
Dictionaries: Codon's dictionary type is not sorted internally, unlike Python's.
Type checking
Since Codon performs static type checking ahead of time, a few of Python's dynamic features are disallowed. For example, monkey patching classes at runtime (although Codon supports a form of this at compile time) or adding objects of different types to a collection.
These few restrictions are ultimately what allow Codon to compile to native code without any runtime performance overhead. Future versions of Codon will lift some of these restrictions by the introduction of e.g. implicit union types.
Modules
While most of the commonly used builtin modules have Codon-native
implementations, a few are not yet implemented. However these can
still be used within Codon via from python import
.