livebook
icecream
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livebook | icecream | |
---|---|---|
79 | 41 | |
4,390 | 8,427 | |
3.1% | - | |
9.8 | 5.6 | |
1 day ago | 20 days ago | |
Elixir | Python | |
Apache License 2.0 | MIT License |
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.
livebook
- Arraymancer – Deep Learning Nim Library
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Setup Nx lib and EXLA to run NX/AXON with CUDA
LiveBook site
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Interactive Code Cells
I prefer functional programming with Livebook[1] for this type of thing. Once you run a cell, it can be published right into a web component as well.
[1] - https://livebook.dev
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What software should I use as an alternative to Microsoft OneNote?
If you're a coder, Livebook might be worth a look too. I certainly have my eyes on it.
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Advent of Code Day 5
Would highly recommend looking at Jose's use of livebook to answer these. It makes testing easier. It's old but still relevant. Video link inside
- Advent of Code 2023 is nigh
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Racket branch of Chez Scheme merging with mainline Chez Scheme
That's hard to say. Racket is a rather complete language, as is F# and Elixir. And F# and Racket are extremely capable multi-paradigm languages, supporting basically any paradigm. Elixir is a bit more restricted in terms of its paradigms, but that's a feature oftentimes, and it also makes up for it with its process framework and deep VM support from the BEAM.
I would say that the key difference is that F# and Elixir are backed by industry whereas Racket is primarily backed via academia. Thus, the incentives and goals are more aligned for F# and Elixir to be used in industrial settings.
Also, both F# and Elixir gain a lot from their host VMs in the CLR and BEAM. Overall, F# is the cleanest language of the three, as it is easy to write concise imperative, functional, or OOP code and has easy asynchronous facilities. Elixir supports macros, and although Racket's macro system is far more advanced, I don't think it really provides any measurable utility over Elixir's. I would also say that F# and Elixir's documentation is better than Racket's. Racket has a lot of documentation, but it can be a little terse at times. And Elixir definitely has the most active, vibrant, and complete ecosystem of all three languages, as well as job market.
The last thing is that F# and Elixir have extremely good notebook implementations in Polyglot Notebooks (https://marketplace.visualstudio.com/items?itemName=ms-dotne...) and Livebook (https://livebook.dev/), respectively. I would say both of these exceed the standard Python Jupyter notebook, and Racket doesn't have anything like Polyglot Notebooks or Livebook. (As an aside, it's possible for someone to implement a Racket kernel for Polyglot Notebooks, so maybe that's a good side project for me.)
So for me, over time, it has slowly whittled down to F# and Elixir being my two languages that I reach for to handle effectively any project. Racket just doesn't pull me in that direction, and I would say that Racket is a bit too locked to DrRacket. I tried doing some GUI stuff in Racket, and despite it having an already built framework, I have actually found it easier to write my own due to bugs found and the poor performance of Racket Draw.
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Runme – Interactive Runbooks Built with Markdown
This looks very similar to LiveBook¹. It is purely Elixir/BEAM based, but is quite polished and seems like a perfect workflow tool that is also able to expose these workflows (simply called livebooks) as web apps that some functional, non-technical person can execute on his/her own.
- Livebook: Automate code and data workflows with interactive notebooks
- Elixir Livebook is a secret weapon for documentation
icecream
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Show HN: Dbg.h: C macro for quick and dirty print debugging
Hey, very useful. Thanks! Similar to ic() for python, but with the nice ability to be used inline.
- When you are looking at someone else's code base and you want to make a copy of it to put in a million print statements to understand it, what is good practice in terms of version control and naming the copy?
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Pythoneers here, what are some of the best python tricks you guys use when progrmming with python
Icecream is great for this. Just calling ic(foo) gives you the same thing on stderr.
- What's you fav ice cream??
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What Python debugger do you use?
I get around this by using loguru (a wrapper around python's logger), so I get information like the calling function and line number with my debugging statements. I don't use it these days (and actually built something extremely similar around the same time), but icecream is another alternative that facilitates debugging-by-print
- Top 3 hardest things with debugging as a beginner?
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Does anyone use python debugger?
Most of the time I simply use icecream (a much better version of print()), and sometimes, I use pudb (a visual debugger) for tougher/trickier bugs.
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Let's do a war
We also have ice cream
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
I found icecream in a post on this subreddit and still use it as an alternative to print for debugging.
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A script for print debugging python code
In the future using something like icecream might be interesting as well.
What are some alternatives?
kino - Client-driven interactive widgets for Livebook
pdb++
awesome-advent-of-code - A collection of awesome resources related to the yearly Advent of Code challenge.
Loguru - Python logging made (stupidly) simple
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
py-spy - Sampling profiler for Python programs
Genie.jl - 🧞The highly productive Julia web framework
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
PySnooper - Never use print for debugging again
axon - Nx-powered Neural Networks
remote-pdb - Remote vanilla PDB (over TCP sockets).