Espruino VS TheAlgorithms

Espruino

The Bangle.js 2 is an excellent device. As a former Pebble user, this is the first device that I consider an adequate replacement for my Pebble (which by now has a diminished battery life and corroded charging contacts).

Here is my impression of the Bangle.js 2:

- Battery: Lasts about 3 weeks on a charge, constantly connected to my phone, when the watch is used to display notifications and alarms. This is a major advantage over Apple Watches and Android/Wear OS watches.

- Display and buttons: The 1.3" 8-color transflective display is comparable to the Pebble Time series' 64-color transflective display. The display is always on, and the backlight activation is highly configurable. The Bangle.js 2 has a touchscreen and 1 button, while Pebble watches have no touchscreen and 3 buttons.

- Software: Runs on the completely free and open source Espruino JavaScript interpreter,[1] which was my main motivation for purchasing this device. There are currently 336 apps in the web-based Bangle.js app loader (app store), including utilites and clocks (watch faces), all of which are FOSS. The bootloader and firmware can be updated directly from the app loader. On Android, there is a distribution of Gadgetbridge (built from the same code base as Gadgetbridge) with internet access enabled that integrates the Bangle.js app loader into Gadgetbridge, which makes it very easy to use the watch.[2]

- Build: Built on the same device body as the SMA Q3.[3] The casing is plastic, and the watch is compatible with standard 20 mm watch straps. The IP67 water/dust resistance makes the watch usable for sports.

Overall, I highly recommend the Pebble.js 2 watch, which is the best FOSS-focused watch I have found to date.

[1] Espruino JavaScript interpreter: https://github.com/espruino/Espruino

[2] Bangle.js Gadgetbridge (distribution): https://www.espruino.com/Gadgetbridge

[3] SMA Q3: https://www.smawatch.com/details?product_id=130

This is the firmware repo for the BangleJS : https://github.com/espruino/Espruino

This makes use of a JS interpreter made for embedded devices: Espruino

More details in the Espruino repo: https://github.com/espruino/Espruino

There are subsets of JS for embedded device e.g. Espruino https://github.com/espruino/Espruino for BangleJS https://shop.espruino.com/banglejs also with 4MB or JerryScript https://jerryscript.net

- Espruino (2.2k stars)

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.