NumPy
Nim
NumPy  Nim  

272  348  
26,510  16,133  
1.4%  0.8%  
10.0  9.9  
5 days ago  about 23 hours ago  
Python  Nim  
GNU General Public License v3.0 or later  GNU General Public License v3.0 or later 
Stars  the number of stars that a project has on GitHub. Growth  month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NumPy

Dot vs Matrix vs Elementwise multiplication in PyTorch
In NumPy with @, dot() or matmul():
 NumPy 2.0.0 Beta1

Elementwise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by elementwise multiplication.
 JSON dans les projets data science : Trucs & Astuces

JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSONserializable and therefore require conversion to standard python objects in order to be saved:

Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
 help with installing numpy, please

A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.

Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.

NumPy 2.0 development status & announcements: major CAPI and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
Nim
 The search for easier safe systems programming
 3 years of fulltime Rust game development, and why we're leaving Rust behind

Top Paying Programming Technologies 2024
22. Nim  $80,000

"14 Years of Go" by Rob Pike
I think the right answer to your question would be NimLang[0]. In reality, if you're seeking to use this in any enterprise context, you'd most likely want to select the subset of C++ that makes sense for you or just use C#.
[0]https://nimlang.org/
 Odin Programming Language

Ask HN: Interest in a RustInspired Language Compiling to JavaScript?
I don't think it's a rustinspired language, but since it has strong typing and compiles to javascript, did you give a look at nim [0] ?
For what it takes, I find the language very expressive without the verbosity in rust that reminds me java. And it is also very flexible.
[0] : https://nimlang.org/

The nim website and the downloads are insecure
I see a valid cert for https://nimlang.org/

Nim
FYI, on the front page, https://nimlang.org, in large type you have this:
> Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula.

Things I've learned about building CLI tools in Python
You better off with using a compiled language.
If you interested in a language that's compiled, fast, but as easy and pleasant as Python  I'd recommend you take a look at [Nim](https://nimlang.org).
And to prove what Nim's capable of  here's a cool repo with 100+ cli apps someone wrote in Nim: [cblake/bu](https://github.com/cblake/bu)

Mojo is now available on Mac
Chapel has at least several fulltime developers at Cray/HPE and (I think) the US national labs, and has had some for almost two decades. That's much more than $100k.
Chapel is also just one of many other projects broadly interested in developing new programming languages for "high performance" programming. Out of that large field, Chapel is not especially related to the specific ideas or design goals of Mojo. Much more related are things like Codon (https://exaloop.io), and the metaprogramming models in Terra (https://terralang.org), Nim (https://nimlang.org), and Zig (https://ziglang.org).
But Chapel is great! It has a lot of good ideas, especially for distributedmemory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regentlang.org), parallel & distributed Fortran, ZPL, etc.
What are some alternatives?
SymPy  A computer algebra system written in pure Python
zig  Generalpurpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Pandas  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
go  The Go programming language
blaze  NumPy and Pandas interface to Big Data
Odin  Odin Programming Language
SciPy  SciPy library main repository
rust  Empowering everyone to build reliable and efficient software.
Numba  NumPy aware dynamic Python compiler using LLVM
crystal  The Crystal Programming Language
manim  Animation engine for explanatory math videos
v  Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io