djangitos
npbc
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djangitos
- Does anyone else feel like setting up environments is harder than actually programming?
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Adding Images to Django Blog Posts
this is the starter project where ckeditor is already setup in configuration https://github.com/appliku/djangitos
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How I made Python/Django Apps deploy themselves
Please refer to more up to date Djangitos project template.
https://github.com/appliku/djangitos
I will rewrite ec2 deployment tutorial as soon as possible. Thanks for reminding me about it.
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Django REST Framework and DataTable Tutorial
Go to Djangitos GitHub repository https://github.com/appliku/djangitos
- What Django *Project* template do you use?
- Whats the role tools like django-environ, python-dotenv etc when using django with docker?
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.
What are some alternatives?
dokku-dashboard - A GUI for Dokku hosted on Dokku
awesome-docker - :whale: A curated list of Docker resources and projects
Newspaper-Bill-Calculator-v2 - App that calculates your monthly newspaper bill
setup - A set of scripts to setup the scanner webapp, API and model store.
lab-flask-tdd - NYU DevOps lab on Test Driven Development
redbeat - RedBeat is a Celery Beat Scheduler that stores the scheduled tasks and runtime metadata in Redis.
lab-flask-bdd - NYU DevOps lab on Behavior Driven Development with Flask and Behave
cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly. [Moved to: https://github.com/cookiecutter/cookiecutter-django]
processing - Source code for the Processing Core and Development Environment (PDE)
django-project-template - The Django project template I use, for installation with django-admin.
SQLite - Official Git mirror of the SQLite source tree