Not sure if my Django virtual environment is set up correctly.

I've set up a Django virtual environment. And when I start it by running:

>workon my\_django\_environment

The prompt then displays as follows:

>(my\_django\_environment) pi@raspberrypi:\~ $

Is this correct? Should the pi@raspberrypi:\~ still be there?

If I do this:

>(my\_django\_environment) pi@raspberrypi:\~ $ ls

Then it lists everything in my actual non virtual environment Home folder. But when following guides for setting this up - when they use ls it only shows the files in the virtual environment folder?

I'm confused...

/r/django
https://redd.it/ixkfwa

django best way to manage CRUD

I am performing a way to Delete/update/get in a same view like

​

class APICRUDVIEW(APIView):

def get(self,request,id):

....



def put(self,request,id):

....

​

def delete(self,request,id):

....



​

​

So that thing doesn't violate \`SRP\` (Single Responsibility Principle ). Like according to that a class strictly should perform a single task. Or its best way to include all these in a class in django ?

/r/django
https://redd.it/ixkuqy

I made a pathfinding visualizer (Code Below) [Feedbacks appreciated]

I made Dijkstra's pathfinding algorithm visualized using pygame.

Check the Visualization: [https://youtu.be/3yUPeIayvfU](https://youtu.be/3yUPeIayvfU)

GitHub Link: [https://github.com/nas-programmer/path-finding/blob/master/djikstra.py](https://github.com/nas-programmer/path-finding/blob/master/djikstra.py)

Feedback/criticism appreciated

/r/Python
https://redd.it/ixgobe

I need an IDE for Django that supports SSH.

I have a dev server, on which I intend to learn Django/Python. I would use VSCodium but it looks like the Python extension has the telemetry which I use VSCodium to avoid. And when it comes to PyCharm the community version doesn't support SSH...

Any recommendations?

/r/django
https://redd.it/ixn4a2

Most Popular Programming Languages on GitHub - 2011/2019
https://youtu.be/eCUy0F-oVXA

/r/JupyterNotebooks
https://redd.it/ixk7vo

Three alternative ways of deploying Django

These are the notes from my talk at DjangoCon EU last week:

[https://gist.github.com/tomdyson/025be30855262287ae048bf4371d26f8](https://gist.github.com/tomdyson/025be30855262287ae048bf4371d26f8)

In 30 minutes I built a very simple Wagtail site and deployed it three times: on Dokku, Netlify and Google Cloud Run. Hopefully the instructions are enough for others to recreate the steps. Some caveats:

* although this demo uses Wagtail, any Django app with a working Dockerfile should work in the same way
* the steps are designed for a quick, impressive demo, and are not intended as best practice reference :)
* in particular, the Cloud Run steps are not complete - pushing a Docker-enabled app is really easy, but database connections and shell access (e.g. for running management commands) is annoyingly fiddly.

I believe the DjangoCon EU organisers will release talk videos in the next few weeks, but in the meantime here are the [slides from the talk](https://docs.google.com/presentation/d/e/2PACX-1vTP9sof4pZO6E9f6gnAVyrP0OW7y42npYdNCWYDMv2NmYivMXCvLdaO8y4eMBDdOh2otgrT-IqmfgNH/pub?start=false&loop=false&delayms=3000#slide=id.g98cee58a9e_0_41).

/r/django
https://redd.it/ixpn8r

Gradient descent from scratch
https://youtu.be/vGaQgNRHxbs

/r/Python
https://redd.it/ixl4bg

I finally published my first pip package. Enter a reddit user and get organized data out. It also can download all of their pictures

pip3 install redditsfinder

https://pypi.org/project/redditsfinder/
I've been working on this for a while and it's neat. The readme has everything you need to know to use it.

https://i.imgur.com/t0hR7Oc.png

https://i.imgur.com/1bMuKlV.png

I will be happy to answer any questions about it.

/r/Python
https://redd.it/ixh6zl

Wednesday megathread: Beginner questions

New to Python and have questions? Use this thread to ask anything about Python, there are no bad questions!

/r/Python
https://redd.it/ixzcum

I created a webapp to help find new fantasy football team names. Feedback appreciated!

xpost from r/fantasyfootball

In my spare time I build things. I created [Fantasy Name Search (fantasynamesearch.com)](http://fantasynamesearch.com/) to help managers find new team names based on their current roster of players or any other key terms. I wrote everything in Python and used the pool of Yahoo's 2019 public leagues as source data for all 500,000 team names. I hope you find it somewhat useful in finding a new team name, if not just for fun to find the most outrageous team names. Let me know what you think!

For those more programmatically literate, I wrote an article describing the guts of the project and process in a little more detail: [https://medium.com/swlh/in-search-of-a-fantasy-football-name-5656e8af5944](https://medium.com/swlh/in-search-of-a-fantasy-football-name-5656e8af5944)

GitHub Repo: [https://github.com/bbenbenek/FantasyNameSearch](https://github.com/bbenbenek/FantasyNameSearch) (updated as code is cleaned up)

/r/flask
https://redd.it/ixsuzw

[N] Microsoft teams up with OpenAI to exclusively license GPT-3 language model

"""OpenAI will continue to offer GPT-3 and other powerful models via its own Azure-hosted API, launched in June. While we’ll be hard at work utilizing the capabilities of GPT-3 in our own products, services and experiences to benefit our customers, we’ll also continue to work with OpenAI to keep looking forward: leveraging and democratizing the power of their cutting-edge AI research as they continue on their mission to build safe artificial general intelligence."""

https://blogs.microsoft.com/blog/2020/09/22/microsoft-teams-up-with-openai-to-exclusively-license-gpt-3-language-model/

/r/MachineLearning
https://redd.it/ixs88q

Should I split my API and Worker?

I have a flask api that currently puts jobs on rq queues to be processed. The api and the "processing engine" is all part of the same flask code base and I launch it all together in a single docker container (with docker-compose). Let's say I have this app deployed on an EC2.

I am confused on how to scale this when there is a bottleneck on jobs and not the API. If I scale the EC2 instances directly, I'll have multiple APIs running, but the bottleneck is in the queues.

So should I instead split my API and Queues into separate docker instances? And then deploy each of those on separate servers? That way I can load balance the queue servers separately but the API can still run on a single instance.

Just want to make sure I am thinking about this correctly.

/r/flask
https://redd.it/ixyeur

Python in Car Racing - Interview about simulation and test software at RCR
https://talkpython.fm/episodes/show/281/python-in-car-racing

/r/Python
https://redd.it/iy21cn

New easy to use JWT token based Authentication for Flask Apps

​

​

[Flask JWT Router](https://preview.redd.it/kljqppppiro51.png?width=4113&format=png&auto=webp&s=bb193e7ff953351f4267807cae44f530aa8c2ed1)

Please try out a new token based Authentication library for flask. Great for apps that provide data for Single Page apps (React, Angular, Vue.js etc.)

[https://github.com/joegasewicz/flask-jwt-router](https://github.com/joegasewicz/flask-jwt-router)

It directly hooks up to Flask-SqlAlchemy, so your logged in user is accessible on Flask's global context object (Please see the docs)

/r/flask
https://redd.it/ixw51n

I had tried to visualise the sorting of a data structure for the programmers who are new in data structure

/r/Python
https://redd.it/iy48av

Use Google's Personal data about you - a simple project with Python

​

[A little sample on what you can build](https://preview.redd.it/hpbg033r8uo51.png?width=414&format=png&auto=webp&s=4c7da328e960127c1ddd74208b125ace2a0d12b7)

A simple project that downloads your personal data from Google. Read more about it [here](https://python-everything.com/post/136/Google-is-tracking-you%2C-and-you-can-pitch-in-to-analyse-the-data%21.html)

/r/Python
https://redd.it/iy4oop

What is the difference between these 3: index(request, args, kwargs), index( args, kwargs), index(request)?

I have seen all these 3: `def index(request), def index(request, args, kwargs), def index( args, kwargs)`in tutorials. what is the difference and which function should I use ? Any help will be greatly appreciated. Thank you.

/r/django
https://redd.it/iy6bgz

Why Django as seperate backend and Vue as seperate frontend, when we can have Vue inaide of Django templates ?



/r/django
https://redd.it/iy1uh6

Solution for allowing API access from external apps?

Hello!


I have a django webapp and wanted to hear some suggestions for api access for external applications. I would like to allow users to be able to make protected API calls into my platform with best security practices.

What I had in mind was giving a token for external platforms and setting up an API urls route for all the calls that they may need. But that is about the most I can think of. Any one with a system with great suggestions?

/r/django
https://redd.it/iyco94

A simple URL shortener using Flask (website in comments)
https://www.youtube.com/watch?v=YI16KWyA3M0

/r/flask
https://redd.it/iy5ocv

[D] Snapchat Anime Filter

If you don't know what I'm talking about, take a look [here](https://comicbook.com/anime/news/snapchat-anime-filter-viral-manga-2020/#10).

As soon as I saw how stable the generation of the filter was, I started experimenting with it and trying to figure out how they did it.

My current belief is as follows. They manually hooked up the features from their face detection/recognition algo into an anime face GAN. So you can think of as those sliders that control age/hair colour/skin colour on the face generation website but hooked up to features from facial recognition.

SC definitely has singled out which algo features correspond to which facial features because they use hair colour/length in other filters.

This approach leads to the more generic anime faces seen in the filter, but is way more stable than something like https://selfie2anime.com/ that does image-to-image conversion.

Aside from that, the filter just does a simple posterisation and overlays the face in the right spot.

Thoughts?

/r/MachineLearning
https://redd.it/iy8njt