more-itertools
Nim
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more-itertools | Nim | |
---|---|---|
9 | 347 | |
3,426 | 16,060 | |
1.7% | 0.8% | |
9.0 | 9.9 | |
13 days ago | 4 days ago | |
Python | Nim | |
MIT License | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
more-itertools
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I want to learn reading other people code
I'd bet that reading through more-itertools would be a good exercise.
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Why iter() & next()
check out the code examples in itertools and the source code of more-itertools if you want to see cases where next and iter get used by themselves.
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Quick way to split and zip a list?
from itertools import islice # Copied from the more-itertools library (MIT license) # https://github.com/more-itertools/more-itertools def batched(iterable, n): "Batch data into lists of length n. The last batch may be shorter." # batched('ABCDEFG', 3) --> ABC DEF G if n < 1: raise ValueError('n must be at least one') it = iter(iterable) while (batch := list(islice(it, n))): yield batch
- more-itertools: More routines for operating on iterables, beyond itertools
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How do I loop this?
more_itertools.chunked
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Is there a better way to write this code?
I've had a tab open to more-itertools on github for weeks; maybe I should go read it...
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Help loading data in batches
The popular more-itertools library implements (among many others) a chunked method which yields lists of size n from an iterator. There is also the ichunked method which yields iterators of size n instead of lists.
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How to find missing number in groups(lists)
There's a function called consecutive_groups in the more-itertools library that will do this for you efficiently.
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
Here are some that might answer your question: - algorithms is a library which contains many of the most useful algorithms for sorting, searching, working with trees, math algorithms like factorials, prime finders and many more - data classes to save you the trouble of writing everytime special methods in a class like init, repr, set, get - box allows the use of dot on dictionaries to access the keys - more-itertools for more routines to operate on iterables than those itertools provide.
Nim
- 3 years of fulltime Rust game development, and why we're leaving Rust behind
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Top Paying Programming Technologies 2024
22. Nim - $80,000
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"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://nim-lang.org/
- Odin Programming Language
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Ask HN: Interest in a Rust-Inspired Language Compiling to JavaScript?
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/
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The nim website and the downloads are insecure
I see a valid cert for https://nim-lang.org/
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Nim
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.
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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://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)
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Mojo is now available on Mac
Chapel has at least several full-time 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://nim-lang.org), and Zig (https://ziglang.org).
But Chapel is great! It has a lot of good ideas, especially for distributed-memory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regent-lang.org), parallel & distributed Fortran, ZPL, etc.
- NIR: Nim Intermediate Representation
What are some alternatives?
TheAlgorithms - All Algorithms implemented in Python
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
python-patterns - A collection of design patterns/idioms in Python
go - The Go programming language
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Odin - Odin Programming Language
algorithms
rust - Empowering everyone to build reliable and efficient software.
PyPattyrn - A simple library for implementing common design patterns.
crystal - The Crystal Programming Language
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
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