gomacro
awesome-functional-python
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gomacro | awesome-functional-python | |
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11 | 15 | |
2,128 | 2,173 | |
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6.4 | 5.5 | |
3 months ago | 10 days ago | |
Go | ||
Mozilla Public License 2.0 | - |
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.
gomacro
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Go superset
gomacro added macros and generics several years before generics reached release.
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Alternative REPL to "gore"
I use https://github.com/cosmos72/gomacro when I want to quickly try some code.
- Interpreters built in Go
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How to run a go main package from another go program?
If it's a simple program I guess you could use gomacro:https://github.com/cosmos72/gomacro
- Scripting in Go
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go-notebook
Thanks to gomacro we can import no standard libraries on the notebook :P
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DoorDash: Migrating From Python to Kotlin for Our Backend Services
For our use (debugging and running small scripts to update data), gomacro should work well enough, despite being an "almost complete" Go interpreter. This isn't the same as the Python REPL which uses entirely the same code to run, but it should be up to the task.
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Hy: A dialect of Lisp that's embedded in Python
I keep meaning to play with https://github.com/cosmos72/gomacro
awesome-functional-python
- Functional python for data process
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They say Python is the easiest language to learn, that being said, how much did it help you learn other languages? Did any of you for instance try C++ but quit, learn Python, and then back to C++?
Really strange new lands can be found in functional programming languages like Haskell, Elm, OCaml, Elixir, and the like. Functional programming in Python isn't something I have adopted fully, but I do find it a helpful paradigm. Interesting tools available for it.
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Python Design Patterns
https://github.com/mpkocher/Functional-Programming-Technique...
I covered a few core concepts (e.g., functions as first-class citizens, closures, partial application, etc...) and added a few real world examples of using a functional centric design. The text/format has some rough edges, but overall I think the text is useful for internalizing how to leverage a functional-ish approach.
Other resources.
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Awesome Functional Programming
I see there is a short section about Python (6 resources).
I have been maintaining for the last 5 years a slightly richer collection at: https://github.com/sfermigier/awesome-functional-python/
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Functional-streams A Library to write concise functional code
1) It's not released on PyPI (there is a different project with the same name).
2) How different / better is it that the similar projects listed on: https://github.com/sfermigier/awesome-functional-python ? (Also: feel free to make a pull request if you want your project listed).
- Am I making things harder for myself by not using any OO stuff?
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Hy: A dialect of Lisp that's embedded in Python
Cool, I thought it was dead (like the fictional character called, coincidently, "Snake"). I see that active development has restarted 6 months ago, seemingly. Kudos to everyone involved, specially @Kodiologist who seems the main contributor over the recent period.
(Shameless plug: more functional languages that look like Python, or compile to one of the Python VMs: https://github.com/sfermigier/awesome-functional-python#lang... ).
- Tuesday Daily Thread: Advanced questions
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The pipe-operator to python |>
https://github.com/sfermigier/awesome-functional-python#libraries
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gamla - async functional programming in python
Nevertheless, it might be useful to add gamla to list of other functional centric resources. https://github.com/sfermigier/awesome-functional-python.
What are some alternatives?
FizzBuzz Enterprise Edition - FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
PyFunctional - Python library for creating data pipelines with chain functional programming
yaegi - Yaegi is Another Elegant Go Interpreter
gophernotes - The Go kernel for Jupyter notebooks and nteract.
mypyc - Compile type annotated Python to fast C extensions
hissp - It's Python with a Lissp.
beartype - Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Toolz - A functional standard library for Python.
go-pry - An interactive REPL for Go that allows you to drop into your code at any point.
hy-lisp-python - examples for my book "A Lisp Programmer Living in Python-Land: The Hy Programming Language"
RxPY - ReactiveX for Python
go - The Go programming language