Running .ipynb files stored in a server folder on local machine without downloading the scripts to local machine

Has anyone had success running .ipynb files that are saved on a server on their local machine without downloading them all to your local machine?

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

Tuesday Daily Thread: Advanced questions

Have some burning questions on advanced Python topics? Use this thread to ask more advanced questions related to Python.

If your question is a beginner question we hold a beginner Daily Thread tomorrow (Wednesday) where you can ask any question! We may remove questions here and ask you to resubmit tomorrow.

This thread may be fairly low volume in replies, if you don't receive a response we recommend looking at r/LearnPython or joining the Python Discord server at https://discord.gg/python where you stand a better chance of receiving a response.

/r/Python
https://redd.it/kvfm16

VirtualPianoBot, a virtual piano bot player that can play (virtually) any song!

https://github.com/azh412/VirtualPianoBot

/r/Python
https://redd.it/kvh78s

2 AI's Playing Tag Made In Python

I made my first visual machine learning piece today in python. I used 2 neural nets for each agent, one for vision and one for movement. The black agent chases the green agent.

GIF:

https://media.giphy.com/media/Bt2LjoHoWnrlR4RdVn/giphy.gif

https://media.giphy.com/media/96zqCL5Ac2f7POiAPQ/giphy.gif

/r/Python
https://redd.it/kvf62e

Building 12 Startups in 12 Months with Django + Vue.js! 🚀🚀

Hey guys,

I'm doing this challenge made famous by Peter Levels a fews ago, where I have to build a startup every month for 2021. I guess startup is probably an exaggeration, it will most likely be many prototypes but I'm super excited to build lots of ideas.

Tech stack:

Django REST Framework API
Vue.js frontend.
Database is PostgreSQL
One Ubuntu server to keep costs down initially

If you want to follow along, I just posted an Intro video.

Doing weekly updates and sharing financial/other metrics openly.

Isaac

/r/django
https://redd.it/kvgup3

Is there any good tutorial that explains how to set up an Automatic deployment pipeline for a Django App from Github to an EC2 instance?

Is there any good tutorial that explains how to set up an Automatic deployment pipeline for a Django application from Github to an EC2 instance?

I have an EC2 instance with Postgress, NginX setup. I would like to deploy my application and configure it with Gunicorn and then anytime I push my code to GitHub my Django app will get updated.

Right now I want to use one single EC2 instance for my apps since they are small and without many visitors and if one app gets bigger I can move it to its own EC2 instance as well as switching it to RDS.

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

Learn something new about Python every day in less than 1 minute

I'm running a channel, where I am publishing a Python mini-tutorial every day. I thought some of you might find it useful:

https://www.youtube.com/c/PythonIn1Minute/videos

I try to keep it beginner-friendly, my goal is to teach something useful or show a neat trick or solve a common pain-point in under 60 seconds.

I am quite new to this youtube thing, so I'd love to hear your feedback. Is this kind of thing a good idea? Do you find it helpful? Any suggestions on what could be improved?

/r/Python
https://redd.it/kvol74

Programming is fun!

Started python 3 months ago and I honestly enjoying it alot!!

I already made 5 cool scripts:

- Calculator
- BMI Calculator
- Number guessing game
- Math game
- Midlabs

If anyone is debating if they should do programming or not, JUST DO IT!! It's fun af

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

D Here are 17 ways of making PyTorch training faster – what did I miss?

I've been collecting methods to accelerate training in PyTorch – here's what I've found so far. What did I miss? What did I get wrong?

The methods – roughly sorted from largest to smallest expected speed-up – are:

1. Consider using a different learning rate schedule.
2. Use multiple workers and pinned memory in DataLoader.
3. Max out the batch size.
4. Use Automatic Mixed Precision (AMP).
5. Consider using a different optimizer.
6. Turn on cudNN benchmarking.
7. Beware of frequently transferring data between CPUs and GPUs.
8. Use gradient/activation checkpointing.
9. Use gradient accumulation.
10. Use DistributedDataParallel for multi-GPU training.
11. Set gradients to None rather than 0.
12. Use .as_tensor rather than .tensor()
13. Turn off debugging APIs if not needed.
14. Use gradient clipping.
15. Turn off bias before BatchNorm.
16. Turn off gradient computation during validation.
17. Use input and batch normalization.

## 1. Consider using another learning rate schedule

The learning rate (schedule) you choose has a large impact on the speed of convergence as well as the generalization performance of your model.

Cyclical Learning Rates and the 1Cycle learning rate schedule are both methods introduced by Leslie N. Smith (here and here), and then popularised by fast.ai's Jeremy Howard and Sylvain Gugger (here and here). Essentially, the 1Cycle learning rate schedule looks something like

/r/MachineLearning
https://redd.it/kvs1ex

Polymorphism vs sparse tables vs multi-table inheritance vs ???

I am trying to create a data structure like this:

SectionX (TypeA)

|metricType1[\]|...|...|
|:-|:-|:-|
|metricType2[\]|...|...|

SectionY (TypeB)

|metricType3[\]|...|...|
|:-|:-|:-|
|metricType4[\]|...|...|

SectionZ (TypeB)

|metricType3[\]|...|...|
|:-|:-|:-|
|metricType4[\]|...|...|

Basically, I need a parent "Section" container that can contain lists of different types of metrics depending on the type of Section. ie, TypeA sections contain a list of metricType1s and a list of metricType2s, and TypeB sections contain a list of metricsType3's and metricType4's. I want to be able to query all of the sections at once, and then ultimately return all of those sections with their correct lists of metrics through graphene.

I'm getting the impression that polymorphism doesn't map well to databases, and that trying to force it or using libraries such as django-polymorphism will result in poor performance due to LEFT JOINS when used on large tables.

I can imagine a solution where I have a `Section` model and a `SectionType` model, where the `Section` becomes a sparse table that stores lists of all possible metrics, and the `SectionType` sets the metrics that are allowed for a given `Section` instance. In this scenario, the result would likely be that my graphql type would display all possible metrics for every type. And that the only way around this might be to use option 1 above and somehow

/r/django
https://redd.it/kvvqy5

Advice using flask and neo4j.

Been running to graphs recently and doing shortest paths of 100k vertex and each having 300\~ edges.


Looking into neo4j to boost performance, are there tips & libraries are you guys using? Is tinkerpop the goto for neo4j? Want to make this neat as possible but neo4j query language is definitely on a different level coming from sql/sqlalchemy.


Appreciate the help!

/r/flask
https://redd.it/kvu33n

Python puzzles to improve yourself as a junior coder
https://orthodoxpirate.blogspot.com/2021/01/python-puzzles-to-improve-yourself-as.html

/r/Python
https://redd.it/kw0mqv

Django serve various file types using IIS / Virtual Directory

Hello All, hoping I could get some help and can't find a solution to my issue anywhere. I am trying to learn Django / Python on my own and decided the best way was through a small project.

I am trying to serve various file types using Django on a IIS windows server. And for the life of me, I can't seem to figure it out.

I am working with a legacy DB that stores file paths in a column. The files are held on a network share so have created a Virtual Folder (tired pass-though and connect as)

I get the URLS created in HTML using the file path from the DB / model

<td><a href ="/{doc.location}" download>{doc.location}</a></td>

Which results in http://panel/docs/07/xxxxxx.doc

The file downloads, but I get a Fail - No file in Chrome.

The files are mix of doc / pdf/ txt and a few other file types.

Any help would be greatly appreciated, racking my brain with this. And there is little information on Django IIS deployment.

/r/django
https://redd.it/kvt7z7

Django Channels on AWS Elastic Beanstalk

Hi all,

I'm trying to configure websockets with Daphne using Django 2.x channels. My backend is AWS EB on DJango and my daphne is confirmed to be working and connecting; however it ALSO keeps disconnecting.

I get the 400 error: Error during websocket handshake. Unexpected Response code.

​

What could be the source of the error? Any suggestions?

/r/django
https://redd.it/kw1uay

add a custom form to Django allauth signup page

hi guys I have a form that I wanna display when signing up but I need a conditional depending on which account type how can I pass the information to a function that will return the appropriate form?

/r/django
https://redd.it/kw1kxj

Python newbie here trying to learn Flask. Need advice.

Hello all! I'm a newbie trying to learn Flask. Would really appreciate some advice on learning.

I chose to learn Flask because I spent around 2 weeks learning Python from zero, and wrote my first program with has only 35 lines of code. I wanna turn this into a web app and after googling for a while, I feel like Flask is the way to go.

I spent last weekend trying to follow the Flaks official tutorial . The setup part was smooth, but now I'm stuck at the database part since I have no idea what is that. Also I'm learning very slow, since I literally have to google everything in the tutorial to figure out what that means.

Am I learning in the right way? Is there anything I need to learn before diving into this official tutorial, giving that I'm still super new to Python and only learned it for 2 weeks?

Thanks all! Any suggestion is welcome :D

/r/flask
https://redd.it/kw5sy5

Wednesday Daily Thread: Beginner questions

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

This thread may be fairly low volume in replies, if you don't receive a response we recommend looking at r/LearnPython or joining the Python Discord server at https://discord.gg/python where you stand a better chance of receiving a response.

/r/Python
https://redd.it/kw47c7

Giant IPKernelApp Error Using Hydrogen in Atom

Starting a few days ago, after months without issue, I began having a giant error box keep popping up when editing my code in Atom. I believe it is from the Hydrogen plugin, the weird thing is even with this error the code still runs and does what I want it too.

I even created a new conda environment, installing only what I needed (pandas, geopandas, descartes, jupyter) and even when using the new environment I am getting this issue. I've tried upgrading ipykernel but it is already the most recent version.

I'm about to lose my mind having this giant red error box keep popping up 10 seconds after I exit it out. Apologies if this is not the right subreddit to post this, but if it isn't please point me in the right direction.

Error Message: "IPKernelApp ERROR | Exception in message handler: Traceback (most recent call last): File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/ipykernel/kernelbase.py", line 268, in dispatchshell yield gen.maybefuture(handler(stream, idents, msg)) File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/tornado/gen.py", line 762, in run value = future.result() File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/tornado/gen.py", line 234, in wrapper yielded = ctxrun(next, result) File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/ipykernel/kernelbase.py", line 583, in completerequest matches = yield gen.maybefuture(self.docomplete(code, cursorpos)) File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/ipykernel/ipkernel.py", line 360, in docomplete return self.experimentaldocomplete(code, cursorpos) File "/home/username/anaconda3/envs/fresh/lib/python3.8/site-packages/ipykernel/ipkernel.py", line

/r/IPython
https://redd.it/kw34bp

sqlalchemy filtering on relationship

Want to check if a value is present in a relationship using sqlalchemy. Have a customer table set up as --

class Customer(Base):
Approvers = relationship("AuthUser", secondary=links.LinkCustomerUser, cascade="all, delete")

so, a query as

session.query(Customer).filter(Customer.Uuid == <somevalue>).first()

would give me a list of approvers.

Is there a way, I can check if a value AuthUser.Id is present in the list of approvers in the query itself?

In short, I want to check if given **AuthUser.Id** is present in LinkCustomerUser or not.

/r/flask
https://redd.it/kw98rs

Amazing Widget with Python
https://www.youtube.com/watch?v=Wnn5fjXx25o&t=468s

/r/flask
https://redd.it/kwcmz3