xeus-cling
jupyterlite
| xeus-cling | jupyterlite | |
|---|---|---|
| 15 | 19 | |
| 2,959 | 3,661 | |
| 1.1% | 2.8% | |
| 4.6 | 8.9 | |
| 5 days ago | 5 days ago | |
| C++ | TypeScript | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
xeus-cling
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Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
More recent activity, but based on clang: https://github.com/jupyter-xeus/xeus-cling https://github.com/root-project/cling
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TermiC: Terminal C, Interactive C/C++ REPL shell created with BASH
If you like interactive c/c++, how a look at https://github.com/jupyter-xeus/xeus-cling, that allow you to run the c/c++ repl in Jupyter, either in web interface, and terminal interfaces.
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IDE for CPP(leetcode)
There are Cpp intepreters like Cling. There are even cpp notebooks like https://github.com/jupyter-xeus/xeus-cling. If that's an "IDE" it's questionable
- How does 3[a] gives the element at index 3 in an array?
- For those defending Python and citing Jupyter notebook scripting as the reason
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Why tho?
Holy shit, its actually a thing for C++ https://github.com/jupyter-xeus/xeus-cling. Now if only there was a C version...
- Changing std:sort at Google’s Scale and Beyond
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Jupyter refuses C++
Links I tried and failed:https://github.com/jupyter-xeus/xeus-cling
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How to write multiple programs in one c file? (like we can do for python files in jupyter notebook )
Are you talking about interpreted C++? Xeus-cling is your friend (i.e., C++ interpreter).
- Turns Jupyter notebooks into standalone web applications and dashboards
jupyterlite
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SymPy: Symbolic Mathematics in Python
The JupyterLite Python-compiled-to-WASM build has NumPy, SciPy, matplotlib, and SymPy installed; so you can do computer algebra with SymPy in a browser tab.
https://JupyterLite.rtfd.io/
https://github.com/jupyterlite/jupyterlite/tree/main/py/jupy... :
> Initial support for interactive visualization libraries such as: altair, bqplot, ipywidgets, matplotlib, and plotly
- Vscode.dev: Local Development with Cloud Tools
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Show HN: Ipython-GPT, a Jupyter/IPython Interface to Chat GPT
https://jupyterlite.readthedocs.io/en/latest/howto/extension... :
> We recommend checking out how to create a server extension first
From https://github.com/jupyterlite/jupyterlite/issues/237#issuec... re: 'micropip':
%pip install $@ -
Show HN: Classic FPS Wolfenstein 3D brought in the browser via Emscripten
https://github.com/emscripten-forge/recipes/tree/main/recipe...
Re: emscripten fs implementations: https://github.com/emscripten-core/emscripten/issues/15041#i... https://github.com/jupyterlite/jupyterlite/issues/315
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Jupyterlab Desktop
Agreed that would be a killer feature. Unzip this package and get a functional Python + Jupyter + scientific (numpy, pandas, scipy, matplotlib) environment.
I have been on-and-off teaching some people Python and the initial setup on-ramp is horrible. Ok, so install Python, now ignore-this-for-now-complications: create a "virtualenv", use this thing called "pip", install these half-dozen things to get a basic notebook (Jupyter + scipy things), install these other half-dozen quality of life things, you should probably also have "conda" for the future, etc. That's a lot of nonsense for someone I am trying to show an alternative to Excel.
My shortcut, "You want to try Python?" approach has been to start with JupyterLite[0] where I can immediately get people coding and delay that pain.
[0] https://github.com/jupyterlite/jupyterlite
- Show HN: A 100% free and interactive Python course for coding beginners
- What Are People Building With WebAssembly?
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Hacker News top posts: Nov 29, 2022
JupyterLite: a JupyterLab distribution that runs in the browser\ (45 comments)
- JupyterLite is a JupyterLab distribution that runs in the browser
- JupyterLite: a JupyterLab distribution that runs in the browser
What are some alternatives?
pybind11 - Seamless operability between C++11 and Python
starboard-notebook - In-browser literate notebooks
cling - The cling C++ interpreter
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
examples - Fully-working mlpack example programs
panel - Panel: The powerful data exploration & web app framework for Python
Pluto.jl - 🎈 Simple reactive notebooks for Julia
brython - Brython (Browser Python) is an implementation of Python 3 running in the browser
sanitizers - AddressSanitizer, ThreadSanitizer, MemorySanitizer
streamlit - Streamlit — A faster way to build and share data apps.
awesome-cpp - A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -