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When comparing Common Lisp vs Nim, the Slant community recommends Nim for most people. In the question“What are the best programming languages for data science?” Nim is ranked 4th while Common Lisp is ranked 13th. The most important reason people chose Nim is:
Nim gains portability and optimization because it compiles to C, which offers a lot of choices from modern C compilers.
Specs
Question Ranking
Pros
Pro Carefully designed for interactive use
Almost all aspects of the language are designed with interactive/repl use in mind.
Pro Very Powerful REPL with SLIME
SLIME (Superior Lisp Interaction Mode for Emacs).
Pro Condition/restart system
It is easy to recover from errors. Error resolution can be determined by the user at the REPL.
Pro Image based runtime
The state of the program may be saved and reloaded as an image, supporting safer modification of the running program. New code may be compiled into the image as the program runs, while late binding ensures that symbol redefinitions take effect throughout the program.
Pro Almost as fast as, or faster than, C
Some compilers such as SBCL can be faster than C or other low-level languages, and most compilers can generate fast native code.
Pro Great portability and optimization
Nim gains portability and optimization because it compiles to C, which offers a lot of choices from modern C compilers.
Pro Python-like syntax
Readable, clean and familiar to Python developers.
Pro Cross-platform
Works on Windows, macOS, and Linux.
Cons
