barril VS TheAlgorithms

Internally the library has a "quantity type", which defines for a given quantity all the given conversions that are valid in the database and a "category" which is used so that you can create subsets of units which you want to consider valid for your application.

It's helpful in the context that you want to restrict what's valid for such a category (see: https://github.com/ESSS/barril/blob/master/src/barril/units/... for what that means -- think of defining a "cylinder width" as a subset of "length").

As a note, it's main use-case is NOT doing computations such as dividing/multiplying Scalars (albeit that's supported it does have some caveats -- so, while it also does dimensional analysis, it's really not the core functionality), rather the core functionality is making the conversions based on what's available in the unit database (so, you're not supposed to be creating units out of the unit database, rather, you want to collect input from the units you support and then make your conversions to other units you still support -- think of doing validation of input, converting to values in units expected by the user, defining a unit-system for input, converting to your internal unit-system for actual computation in C/C++, ...).

So, I guess it depends on what you consider as core for a units library. As I mentioned, it's created for an Oil & Gas use-case -- albeit it's also used in other engineering-related projects -- where the units are all pretty much well mapped in the application and you're worried that you are getting into units you're not expecting and that'd actually be an error.

p.s.: if you have specific use-cases which don't work as you expect, I suggest contacting the library maintainers -- once that was me, but it's been a while ;)

p.s.: thanks for letting me know about how to deal with dimensionless units in pint (I wasn't aware of that).

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.