PurefunctionPipelineDataflow
gophernotes
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| PurefunctionPipelineDataflow | gophernotes | |
|---|---|---|
| 172 | 10 | |
| 439 | 3,766 | |
| - | 0.8% | |
| 7.4 | 3.0 | |
| 8 days ago | 6 months ago | |
| Go | ||
| - | 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.
PurefunctionPipelineDataflow
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Goodbye, Clean Code
Implement relational data model and programming based on hash-map (NoSQL)
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How can I learn functional programming?
The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with Principle-based Warehouse/Workshop Model
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Does Intel have an answer (or developing one) for AMDs Infinity Fabric?
I criticized "AMD Infinity Fabric Architecture" at the end of my article "Prediction: Intel will use "RISC-V plus x86 compatibility layer" or "RISC-V plus x86 heterogeneous computing architecture" to develop a new generation of "warehouse/workshop model" CPU".
- The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
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What should I do to defend my rights if the architecture of the Apple M1 chip is plagiarized from my theory and architecture?
What's more, you're being somewhat liberal with your "invention" dates here anyway. I'm sure you realize that anyone can review the commit history to see when content was added to the repo. As of Nov 2020, the day Apple announced a fully operational and tested, ready-to-ship silicon package the repo was a just series of bullet points listing out well-known concepts of functional programming sprinkled with some religious analogies and inspirational quotes. The farther you go back in the repo commit history, the less content is there.
- Apple M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designer who have worked at Apple for decades)
- M1 Ultra's architecture is a mistake, and Why Apple is not the creator of the M1 architecture? (with comment from chip designers who have worked at Apple for decades)
gophernotes
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Go: What We Got Right, What We Got Wrong
https://github.com/gopherdata/gophernotes
I've had this bookmarked for some time and just havent gotten around to it.
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Alternative REPL to "gore"
Gopher Notes Kernel for jupyter notebooks? Could be useful :)
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GoNB, a new Jupyter Notebook Kernel for Go
I started this because gophernotes was not working for another project I'm slowing working on -- it is interpreted, and not up-to-date (generics, etc).
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How To Develop In Go Without Commenting Out?
A go kernel is available at https://github.com/gopherdata/gophernotes
- Is there a program or plugin in that's similar to jupyter notebooks or google collab for Go lang?
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Why Lisp?
> You do know that statically typed languages have REPLs too? Like the ML family, including Haskell.
I do, but that I don't see how that relates to the bit of my post which you've quoted. I certainly didn't claim or imply that REPL and static type systems were mutually exclusive, only that REPLs are a poor substitute for many static analysis tasks.
> And when using something like a Jupyter notebook with a kernel for your compiled language https://github.com/gopherdata/gophernotes you can do similar interactive programming.
Yeah, I'm aware. I operate a large JupyterHub cluster (among many other things) at work. :)
> Lisp REPLs take that a step further, as you interact with and in your whole actually running program.
That sounds nice, but it's too abstract to persuade IMHO.
- Scripting in Go
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I just started learning Go and my senior gave me link of "Learn Go with tests" as a place where i should be learning .... i am finding this thing very complex compared to other tutorials, why so and what should i do?
If you are coming from python,jupyter notebook, gophernotes is a great library to setup your own playground.
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Go+: Go designed for data science
Why can't you just build libraries to make Go a better language for data science? There's already Go support for a Jupyter Notebooks kernel: https://github.com/gopherdata/gophernotes
What are some alternatives?
concurrencpp - Modern concurrency for C++. Tasks, executors, timers and C++20 coroutines to rule them all
gomacro - Interactive Go interpreter and debugger with REPL, Eval, generics and Lisp-like macros
verona - Research programming language for concurrent ownership
yaegi - Yaegi is Another Elegant Go Interpreter
refterm - Reference monospace terminal renderer
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
BetterDummy - Unlock your displays on your Mac! Smooth scaling, HiDPI unlock, XDR/HDR extra brightness upscale, DDC, brightness and dimming, dummy displays, PIP and lots more! [Moved to: https://github.com/waydabber/BetterDisplay]
lgo - Interactive Go programming with Jupyter
clojurust - A proof of concept version of Clojure in Rust.
nyxt - Nyxt - the hacker's browser.
chromium - The official GitHub mirror of the Chromium source
nbview - View Jupyter Notebooks in your terminal