This is a notebook that integrates code and note functions.
At present, the notebook supports C language writing and local debugging and running, and a series of excellent debugging methods are specially designed for the notebook: for example, during the running process, you can see the value of the variable at any time, and you can also change it at runtime The value of the variable, and even you can display the change trend of the variable value as a graph, which allows you to use C language to quickly simulate the classic probability theory experiment, and witness the convergence process of the variable value with your own eyes, which is much clearer than using text to output the variable value .
If you encounter a bug, you don't need to set any breakpoints, you can directly execute the code line by line at a slow speed, and combine real-time variable values and variable trend charts to analyze what is different from what you imagined.
Of course, the code editor won't let you down either. Supports syntax highlighting, syntax hints and very smart auto-completion and code formatting. Although the code is embedded in the note, you can still complete a piece of code by abbreviating very easily.
The notes support the Markdown format. If you are a Markdown expert, you should be able to edit beautiful layouts very easily, and if you are a novice, you can also write notes elegantly. iPad, iPhone and Mac can be seamlessly connected through the cloud synchronization function, and you can view, edit and run your code anywhere.
Of course, if you encounter any problems or any suggestions, please feel free to contact us. Our email is feedback@forgetive.org, welcome and adopt your opinions at any time!
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What's New in C Notebook
3.7.0
November 2, 2024
Fix several bugs and continuously improve the experience.
Huge caveat: I'm not a C programmer. I mostly use Rust & Python. So I only sampled this app. But I was very impressed. Python has a large computational notebook culture. Largely centered around Jupyter notebooks and inspired by Mathematica notebooks. Rust has a compiled, explicit writing style and has extensions to allow interpreted execution so it can be used in the Jupyter ecosystem. But I much prefer the style that the authors have gone for here. Literate coding in a system centered around the language.
It's also been a joy to use in AVP -- whereas most programmers (self included) are still working on our laptop/desktop and just projecting screens into AVP space, but longing for a more native environment.
TLDR: this is a very promising and seemingly quite polished experience for both literate programming and code exploration. I cannot give an in depth review as I'm not a C programmer, but this should be a reference for anyone building out programming abilities in the AVP. (And strong integration of notes, in some fashion as well as code chunk exploration should both be norms, IMHO.)
