Nim (programming language)
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Nim (programming language) might be a bit more popular than NumPy. We know about 142 links to it since March 2021 and only 108 links to NumPy. 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.
I'd be interested to hear the author's take on Nim [1], which seems to be better suited for game development than Rust by staying out of the dev's way [2], and supports hot-reloading (at least in Unreal Engine 5) [3]? [1] https://nim-lang.org/ [2] https://youtu.be/d2VRuZo2pdA?si=E3N62oUJ-clXozCg [3] https://www.youtube.com/watch?v=Cdr4-cOsAWA. - Source: Hacker News / about 1 month ago
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://nim-lang.org/. - Source: Hacker News / 3 months ago
I don't think it's a rust-inspired 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://nim-lang.org/. - Source: Hacker News / 5 months ago
FYI, on the front page, https://nim-lang.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. - Source: Hacker News / 6 months ago
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://nim-lang.org). And to prove what Nim's capable of - here's a cool repo with 100+ cli apps someone wrote in Nim: [c-blake/bu](https://github.com/c-blake/bu). - Source: Hacker News / 7 months ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
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. - Source: dev.to / 7 months ago
Crystal (programming language) - Programming language with Ruby-like syntax that compiles to efficient native code.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
D (Programming Language) - D is a language with C-like syntax and static typing.
OpenCV - OpenCV is the world's biggest computer vision library
V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.