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I'm also very curious for hear from expert lispers. I've tried to find the sweat spot where lisp would fit better than what I already know: shell for glue and file ops, R for data munging and vis, python to not reinvent things, perl/core-utils for one liners. But before I can find the niche, I get turned off by the amount of ceremony -- or maybe just how different the state and edit/evaluate loop is.
I'm holding onto some things that make common lisp look exciting and useful (static typing[0], APL DSL[1], speed [2,3,4]) and really want to get familiar with structural editing [5]
[0] https://github.com/phantomics/april - APL dsl
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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coalton
Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
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CL is used in a wild range of domains. Web apps to industrial-grade theorem provers to quantum compilers etc.
Here's an overview for 2022: https://lisp-journey.gitlab.io/blog/these-years-in-common-li...
companies: https://github.com/azzamsa/awesome-lisp-companies/
pgloader went from Python to CL: https://tapoueh.org/blog/2014/05/why-is-pgloader-so-much-fas...
my take on why lisp vs python: https://lisp-journey.gitlab.io/pythonvslisp/
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
