selfhost VS TheAlgorithms

I just started using Pyinfra to wrangle a bunch of servers and it is a breath of fresh air compared to Ansible. I moved all of my server OS installs to Fedora CoreOS which doesn't ship with Python in the OS and since Pyinfra doesn't need Python on the host node I can kick off tasks in bulk to do server things. It is great. I cannot wait to see where the Pyinfra project goes.

On a side note, one of the most hacky things I came up with to get Ansible working on Fedora CoreOS was to bind mount a container rootfs that had python 3 and then symlink it into the right spots. You can of course add Python in with rpm-ostree if you want but I wanted to avoid layering packages at the time. I wasn't proud of it. But it worked.

https://github.com/forem/selfhost/blob/main/playbooks/templa...

This is not the suggested way of deployment by the forem team, nevertheless I found it easier and smother than using the deployment selfhost, however I think it's good to know different approaches and use the one suits you the most, if you don't have time to manage a server I think using a pass like Render does the job, and it's cheaper then Heroku at the time of this post.

Forem Self-Host. You should probably know Forem. But in case you don't, just know that DEV is hosted on it.

I only use Podman for my workloads these days. Docker was always a headache for me on Linux. Podman allows me to quickly do whatever I want with containers and I can use systemd or a simple bash script to easily create services on my workstation or in production with Nomad with https://github.com/hashicorp/nomad-driver-podman

I am super thankful for the team of developers that work on Podman. It has really come a long way since 2.0 and they are very responsive to issues in my experiences. If you are using Linux as your daily driver and you use Containers give Podman a try. Here are some examples of the things I have done with Podman.

https://github.com/forem/selfhost

https://github.com/jdoss/ppngx

https://gist.github.com/jdoss/25f9dac0a616e524f8794a89b7989e...

https://gist.github.com/jdoss/ad87375b776178e9031685b71dbe37...

To automatically generate a TOC, you can use an online tool like the GitHub Wiki TOC generator. I used this tool to create the TOC in Forem’s Selfhost project when I was a developer advocate there.

Hi, everyone; I just tried the tutorial for deploying a self-hosted instance of forem (https://github.com/forem/selfhost) on AWS. A step in the tutorial asks for the creation of an AWS user with Programmatic access called forem-selfhost with the following

We (I work for Forem) have an opensource selfhost installer [0] so you can have total control over your data and community too.

[0] https://github.com/forem/selfhost

If you know what Forem you want to build, please follow the instructions and go live — again, the Self-Host instructions are available here!

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.