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Based on our record, Pyright should be more popular than Steel Bank Common Lisp. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Static Type Checking with PyRight: Improve code quality and reduce bugs with PyRight, a static type checking feature not available in R. This proactive error detection ensures your applications are reliable, before you even start them. - Source: dev.to / 14 days ago
Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified. - Source: dev.to / 2 months ago
You can use pyright instead[0]. It is the FOSS version of pyright, but having some features missing. [0]: https://github.com/microsoft/pyright. - Source: Hacker News / 9 months ago
This is not the case! After reading the LSP help pages (:help lsp), I installed and configured two language servers: Typescript Language Server for JavaScript and Pyright for Python. Neovim has fantastic defaults, so things like tags, omnicompletion, and semantic highlighting (New in 0.9) are enabled and configured by default as long as your language server supports them. You can see my configuration below. Source: about 1 year ago
I've had lots of success using pyright [1] for Python projects, it has sensible defaults and can be configured with a pyproject.toml file so everyone's using the same settings. I use the Pylance VSCode extension to catch errors earlier, but I also put it in pre-commit and as a CI check, so all contributors are committing the same quality of typed code. With more complex types, I've found it isn't necessary to do... - Source: Hacker News / about 1 year ago
Tangential: if we're talking Lisp and native code speed, Steel Bank Common Lisp (by default) compiles everything to machine code. [0] https://sbcl.org. - Source: Hacker News / 8 months ago
Q5: Get http://sbcl.org/. Install https://quicklisp.org/. SBCL is the implementation that's the lowest friction, and Quicklisp is a package manager that's almost* painless. Source: 12 months ago
That is what we do in Lisp. Try sbcl if you haven't tried it yet. Source: about 1 year ago
I want to add the sbcl-doc subpackage (the manual for SBCL in GNU Info format), but first I need to understand how to write package definitions. As far as I understand there are the "templates" which are shell scripts that describe how a package is to be built and installed, and xbps-src is a shell script which can process these templates to actually carry out the work. Source: over 2 years ago
> Lisp looks like Python, that's far from C, and usually it's a "interpreted" language, far from machine the currently most popular Common Lisp implementation is based around an optimizing native code compiler. That compiler has its roots in the early 80s. See https://sbcl.org . It's far away from being 'interpreted'. - Source: Hacker News / almost 3 years ago
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
Hy - Hy is a wonderful dialect of Lisp that’s embedded in Python.
PyFlakes - A simple program which checks Python source files for errors.
CMU Common Lisp - CMUCL is a high-performance, free Common Lisp implementation.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
CLISP - CLISP is a portable ANSI Common Lisp implementation and development environment by Bruno Haible.