tqdm
nimpy
tqdm | nimpy | |
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33 | 38 | |
27,492 | 1,420 | |
0.8% | - | |
7.0 | 5.8 | |
3 days ago | 3 months ago | |
Python | Nim | |
GNU General Public License v3.0 or later | MIT License |
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.
tqdm
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Neat Parallel Output in Python
yeah my code needs to use multiprocessing, which does not play nice with tqdm. thanks for the tip about positions though, that helped me search more effectively and came up with two promising comments. unmerged / require some workarounds, but might just work:
https://github.com/tqdm/tqdm/issues/1000#issuecomment-184208...
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The Gems of Moreutils
> Like tqdm (Python progressbar library) but as a Unix utility.
FYI: tqdm can be used in a shell pipeline as well. It's documented (at least) in their readme: https://github.com/tqdm/tqdm#module
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Helper class for tracking the progress of iteration in CLI
BTW, my inspiration was https://github.com/tqdm/tqdm library for python and any contribution is welcome to add similar functionality.
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I have this function I have written that shows how much of a percentage is done given progress in a loop..so..if you are iterating through a loop that is 500 long, at 200 it says "40%",240 "48%", and so on, but, how do you just change the value on the screen, not print a new one on a new line?
I can recommend you the package tqdm (https://github.com/tqdm/tqdm) You can replace the standard for statement with it, or use it with any other iterable. By default, it gives you a progress bar with a percentage and ETA, but you can also configure it to only print the percentage, if you want that. If you want to use print statements, adding \r at the beginning and not putting a line end should also do the trick.
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I keep getting this issue, can anyone help??
you try to run an python script that requires the tqdm package and also a regex package (what normally should be installed, when installing python). Blender tries to install these packages without success. You probably have to do it on your own by installing them in your pythons virtual environment.
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[2022 Day11 (Part2)] [python] brute force
If OP is using python that might be the output of python's tqdm.
- How to implement a progress bar for non verbose commands?
- tqdm/tqdm: A Fast, Extensible Progress Bar for Python and CLI
- Return progress of loop without impacting performance of loop
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Client-server not closing connection properly on keyboard interrupt
I have a client-server socket program where the server sends a file to the client. The server is designed to allow multiple clients using threading. For the file transfer on the client, I am using the tqdm library (https://github.com/tqdm/tqdm).
nimpy
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Mojo is now available on Mac
I mean honestly, the closest language to Mojo really is Nim. In the latest Lex Fridman interview [0] when he talks about his ideas behind Mojo it pretty much sounds like he's describing Nim. Ok fair, he wants Mojo to be a full superset of Python, but honestly with nimpy [1] our Python interop is about as seamless as it can really be (without being a superset, which Mojo clearly is not yet). Even the syntax of Mojo looks a damn lot like Nim imo. Anyway, I guess he has the ability to raise enough funds to hire enough people to write his own language within ~2 years so as not have to follow random peoples whim about where to take the language. So I guess I can't blame him. But as someone who's pretty invested in the Nim community it's quite a shame to see such a hyped language receive so much attention by people who should really check out Nim. ¯\_(ツ)_/¯
[0]: https://youtu.be/pdJQ8iVTwj8?si=LfPSNDq8UKKIsJd3
[1]: https://github.com/yglukhov/nimpy
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Show HN: Pip Imports in Deno
You can also do this in Nim, which basically means you can write any program you could in Python with libraries in Nim. https://github.com/yglukhov/nimpy
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Nim v2.0 Released
Ones that have not been mentioned so far:
nlvm is an unofficial LLVM backend: https://github.com/arnetheduck/nlvm
npeg lets you write PEGs inline in almost normal PEG notation: https://github.com/zevv/npeg
futhark provides for much more automatic C interop: https://github.com/PMunch/futhark
nimpy allows calling Python code from Nim and vice versa: https://github.com/yglukhov/nimpy
questionable provides a lot of syntax sugar surrounding Option/Result types: https://github.com/codex-storage/questionable
ratel is a framework for embedded programming: https://github.com/PMunch/ratel
cps allows arbitrary procedure rewriting to continuation passing style: https://github.com/nim-works/cps
chronos is an alternative async/await backend: https://github.com/status-im/nim-chronos
zero-functional fixes some inefficiencies when chaining list operations: https://github.com/zero-functional/zero-functional
owlkettle is a declarative macro-oriented library for GTK: https://github.com/can-lehmann/owlkettle
A longer list can be found at https://github.com/ringabout/awesome-nim.
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Prospects of utilising Nim in scientific computation?
I use Python daily for its massive momentum for scientific stuff, but I also use Nim for everything else. Nim compiles to C, and making Python native modules with Nim is easy with Nimpy.
- Can't run compiled nim code in Python
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Returning to Nim from Python and Rust
If are a data scientist and come from python take a look at nimpy, a great way to just import python libraries and use them! https://github.com/yglukhov/nimpy Numpy, pandas, pytorch all usable in Nim.
Nim is the ultimate glue language, use libraries from anything: python, c, js, objc.
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Python's “Disappointing” Superpowers
I've come to really enjoy programming in Nim. Note that Nim is very different language despite sharing a similar syntax. However, I feel it keeps a lot of the "feel" of Python 2 days of being a fairly simple neat language but that lets you do things at compile time (like compile time duck typing).
There's a good Python -> Nim bridge: https://github.com/yglukhov/nimpy
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Dunder methods in nimpy
See this nimpy issue about it: https://github.com/yglukhov/nimpy/issues/43
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What language to move to from python to speed up algo?
It has pretty good integration with python, either for having your main code in python and writing small hot functions as nim and importing via nimporter or using python libraries in nim via nimpy.
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ABI compatibility in Python: How hard could it be?
Related: Nimpy[0] provides an easy way to write Python extensions in Nim, which manages the ABI side very well.
Python 2 is now gone, but until it was, Nimpy was an easy way to write Python extension modules that only needed to be compiled once, and would work with any of your installed Python 2 and Python 3. Magic.
[0] https://github.com/yglukhov/nimpy
What are some alternatives?
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
Box - Python dictionaries with advanced dot notation access
CUTIE - Command line User Tools for Input Easification
nimporter - Compile Nim Extensions for Python On Import!
enlighten - Enlighten Progress Bar for Python Console Apps
scinim - The core types and functions of the SciNim ecosystem
progressbar - Terminal-based progress bar for Java / JVM
nimpylib - Some python standard library functions ported to Nim
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.