npbc
awesome-docker
npbc | awesome-docker | |
---|---|---|
13 | 12 | |
2 | 28,401 | |
- | - | |
4.3 | 7.2 | |
4 months ago | 24 days ago | |
Python | ||
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
npbc
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Can programming be a hobby? What can I do with it?
Well, there will probably be problems in your life that have a programming solution. For example, we subscribe to something like 5 newspapers billed monthly but with different prices per paper per weekday. We verify the vendor's calculations and it's bit of a chore. Perfect thing to automate with a script!
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How often do you use libraries ?
Another good example is command line arguments. I got started with argv and argc and wrote a rudimentary application with that. At some point I decided to migrate it to Python, and continued to use sys.argv there. Now, we (family) rely on that application, and I use argparse (Python) most of the time. In the context of this application, I'm currently learning about deployment and distribution (hence you'll find my makeshift "installation" instructions in the README). Once I figure that out, I'll switch to a existing tried and tested system.
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I don’t know where to go from here
I'm currently on a new version of the newspaper bill calculator (https://github.com/eccentricOrange/npbc) and it's still teaching me tons (more file i/o, good/bad practices, databases, regex, CI/CD, different kinds of UI like CLIs etc etc)...
- Do you make your code clean (refactor) after you finished a project or while writing the code?
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How do you structure the writing of a program >200 lines?
The primary purpose of this project is for me to learn to use Flask. It usually takes me 4-5 ~rewrites~ revisions of a project to make it have some structure, and this one is only in v2. I've also had to learn a lot of stuff (Flask, virtually all of JS, some 80% of the CSS, the whole concept of a front- and back-end being split between a CLI and a browser, datetime module), so it's been somewhat tough to build as well. I don't always code like this.
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Pytest is failing on GitHub Actions but succeeds locally
The full codebase is available. At this point, I've completed most of the changes I need to make to the actual code, and push it to GitHub. https://github.com/eccentricOrange/npbc/tree/5c529dacbef0f9a1f8915a49dcca47834204aa09
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Please help me review a CLI application that I've written
Link: https://github.com/eccentricOrange/npbc/tree/efd5f37b82a42437a9ed0d61d20a8455dce6f0e0
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Is requesting a review appropriate here?
This post is not a request for review, but if you want to get a sense of the size/number of files, here is a GitHub repo at a specific commit (so that all discussion is consistent). Is it okay to make a post requesting a review of this code? If not, do you know a place I could request someone to take a look?
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I want to learn programming but keep giving up too quickly
Make sure that the "complex" problem you're solving is the same as your end goal. That's my main motivator: if I need an app to calculate newspaper bills, I need it. Learning about OOP (for example) outside of a problem where I really benefit from having it doesn't work so well for me.
awesome-docker
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The best way to learn Docker
When encountering a new technology, search for "awesome" lists on github. There are usually multiple (especially for popular topics), but the best ones usually bubble to the surface. https://github.com/veggiemonk/awesome-docker
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pico-repo: an 'app store' for the Raspberry Pi Pico
Looks cool, although how is this any different then say a github repo? Or a repo that contains a list of other repos and project such as the awesome Docker one.
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What is Docker ?
Awesome Docker
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Data warehouse for Unraid?
That's a very open request. There are a lot of projects available. You can look over Awesome Docker for many types of software. Some are self-contained. Some would expect you to be hosting a database. I would suggest PostgreSQL, as it is very capable and supported by pretty much every project.
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Can someone share a docker cookbook of sorts of various common setups in Node.js?
prob find a lot of what you're looking for here Awesome Docker
- Does anyone else feel like setting up environments is harder than actually programming?
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Help with truly understanding docker and in a professional environment
Sorry I don't have read fully a docker book. But you can find something useful from here: https://github.com/veggiemonk/awesome-docker
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Selfhosted Is Intimidating
Docker is a great tool to learn for this because everything can run on a single machine and still be isolated from your host OS as lightweight Linux machines: https://github.com/veggiemonk/awesome-docker
- Scope of GCP in India
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Spin up and down docker instances as needed
Haven't had a need to really start/stop a container based on a web call - but you might poke through the Orchestration here https://awesome-docker.netlify.app/ and see if something fits.
What are some alternatives?
Newspaper-Bill-Calculator-v2 - App that calculates your monthly newspaper bill
yunohost - YunoHost is an operating system aiming to simplify as much as possible the administration of a server. This repository corresponds to the core code, written mostly in Python and Bash.
lab-flask-tdd - NYU DevOps lab on Test Driven Development
awesome-kubernetes - A curated list for awesome kubernetes sources :ship::tada:
lab-flask-bdd - NYU DevOps lab on Behavior Driven Development with Flask and Behave
valheim-aci - Valheim ARM deployment template
djangitos
docker_SynologyNAS - How to install Docker on non-intel Synology NAS
processing - Source code for the Processing Core and Development Environment (PDE)
docker-bind - Bind (bind9) caching DNS server on Alpine or Debian with wild-card domain support [multi-arch]
SQLite - Official Git mirror of the SQLite source tree
awesome-aws - A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.