pylsp-rope VS TheAlgorithms

pylsp-rope is actually an external plugin project, it implements advanced refactoring functionalities using code action (extract method/variable, function inlining, converting local variables to instance variables, organise import, etc). Unless you have explicitly installed pylsp-rope at some point, it's unlikely you already have it in your system. I'm the author of pylsp-rope, btw.

If you're also a user of rope, which is a Python refactoring library, my python-lsp-server plugin pylsp-rope would also welcome contributions. They have a fairly small codebase, and so they would be relatively easy to pick up.

Currently the best way to use rope for refactoring (including extract, inlining, reorganise import, plus many more) in Neovim is with pylsp-rope and your preferred LSP client. pylsp-rope is going to be the main focus of bringing rope capabilities to various IDEs and text editors. I'll have to find the time for this, but I'm planning to overhaul the rope support in core pylsp to make it work even better.

Rope's Restructuring refactoring is very powerful and flexible, and it's very accurate given the pattern, however it's currently only accessible from rope's programmatic interface, which means you have to write a little bit of Python code to use it. I've not been able to figure out how best to expose this capability into easy to use user interface within text editors/IDEs and especially within the constraints of LSP for pylsp-rope.

I am the maintainer rope and pylsp-rope. They are libraries for automated Python refactoring and to do that from any LSP-capable editors. We are always welcoming contributors of all levels.

You can also use pylsp-rope, though until LSP actually provides a standard Villani compliant interface that allows LS to implement move refactoring, you may not be able to use it from your editor. I'm kinda thinking that maybe I should just non-standard LSP extension that ropevim would call into. It shouldn't just be Microsoft that can play EEE 😅

pylsp-rope

I never had to market an open source project from zero that later grow into popularity, but I did inherit the maintainership of a fairly popular project and then I started a new project that have been gaining a small, but growing momentum.

Most of my personal projects are written because I need a feature that nobody else has anything remotely resembling what I need.

pylsp-rope for refactoring capabilities

3. TheAlgorithms/Python - For those interested in algorithms and data structures, this repository offers Python implementations for a wide range of algorithms. It's a great way to deepen understanding of algorithmic learning with Python. https://github.com/TheAlgorithms/Python

Is it me or does it not seem very well thought out? Every example I've seen only has implementations in JavaScript and/or Python. I haven't seen any other languages nor a way to search by language. What a "string" means in one language can be completely different in another language. The primitive data types that the project assumes are not really supported across all programming languages.

Also if anyone hasn't already seen them, similar projects already exist and are more complete. E.g.

* https://rosettacode.org/

* https://programming-idioms.org/

* https://the-algorithms.com/

Not to mention LeetCode, CodeWars, Project Euler, Exercism can kinda serve the same role.

Hey Everyone, My name is Rachit Chawla and Its my first blog on dev.to. I am currently a student of Computer Programming and Analysis at Seneca College. Also I'm currently on my co-op term working as an Automation Developer at Ontario Public Service. In this role, I am currently working with PowerShell scripting and Microsoft Azure for automating every manual tasks to reduce workload and increase efficiency. This blog is a part of OSD600 course at Seneca College. I am taking this course as I am big fan of open source and always wanted to contribute in open source projects but I am unaware of proper documentation and standards used for open source contributions. I am hoping to learn all the required stuff by the end of this course and I aim to be one of the 15k contributors to Linux's repo by Linus Torvald. Open Source interests me because it gives developers the power to customise the application they want to use, also a chance to help others and improve their skills. I found https://github.com/TheAlgorithms/Python interesting from the Monthly trending feed on Github as it has all the algorithms which help us improve time complexity and write better codes. I has about 1000 contributors which helped to code all the algorithms in Python which may help others for working or learning purposes. I myself was a student of Data Structures and Algorithms in Python Winter 2023 and hoping to even able to contribute to this repo itself, once I learn more about documentation & proper standards to be followed.

The Algorithms Contains many open source implementations of algorithms. Check it out.

If you want to see implementations of all possible traversal algorithms you can find it here.

The mother load of all algorithms in python is here. dfs/bfs in particular are in the graph section.

There is no one way to learn all these but here are some resources: 1. Gooking algorithms [https://edu.anarcho-copy.org/Algorithm/grokking-algorithms-illustrated-programmers-curious.pdf\] 2. Algorithms in all languages [https://the-algorithms.com/] 3. Node js best practices. [https://github.com/goldbergyoni/nodebestpractices] 4. Refactoring [https://refactoring.guru/] 5. Learn about Clean Code and Clean Architecture from uncle bob. https://www.youtube.com/watch?v=NeXQEJNWO5w&ab_channel=StreamAConStreamingConferences

DSA basics

I would recommend The Algorithms, it comes with descriptions and examples in multiple programming languages.

There's also The Algorithms. Many implementations are unfortunately low quality. The Lua ones (disclaimer: I wrote them) should be fine however.