I wrote a mass emailing script named MassEmailer that you can input any sized text file of email addresses and an email body text file and it will mass send out the email. You can schedule it to send a set amount of emails per day to stay within provider limits until it has been sent to all emails.

[https://github.com/trevtravtrev/MassEmailer](https://github.com/trevtravtrev/MassEmailer)

The readme contains all the instructions you should need to run it. The code has docstrings explaining each function. It works perfect but would like to hear feedback for how it can be written to be more user friendly. Please feel free to critique here or use the code in any way you'd like. Please make sure to follow the readme to get the script running for yourself.

I currently have a 5,000 email address text file and 1 text file with the email body text. I have it set to send 100 emails per day via gmail (this is gmail's limits) and it is set to run once every 24 hours with windows task scheduler. It deletes email addresses from the text file as it sends to them so it can run seamlessly the next scheduled time picking up where it left off. Keep a backup copy of your email list elsewhere.

If this is popular, I will add updates and maybe even make an interface.

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

How to have encrypted chat between users, where the site owner cant read any of the messages?

* The messages would be stored in the database
* Im guessing this will deal with hashing
* The site owner should not be able to read any of the messages
* Users will be private messaging other users
* Is there any common lib/tool/package that can be used with Django to accomplish this?

/r/django
https://redd.it/ing5h4

testing in django

Hey, does anyone knows some good django testing examples to learn from?

/r/django
https://redd.it/in975x

I used Python, Flask, HTML, JS, CSS, and Google Colab to create a web-app. How would I deploy this permanently rather than temporarily?



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

PyCon India 2020

Ticket sales for PyConIndia2020 are open.

Rush to get your ticket: [https://in.pycon.org/2020/#ticket](https://in.pycon.org/2020/#ticket)

PyCon India is the annual gathering of Pythonistas, run by the Indian Python community, to foster adoption of the Python programming language.

With over 250+ proposals coming in globally, job board, workshops, dev sprints, and networking opportunities. This year PyCon India 2020 is set to be the biggest one yet.

We will be having a job board where you can find exciting job openings from various companies that uses Python and related technologies in various domains like web, infra, security, embedded, or data science.

No matter if you are a student, someone who is just starting out with Python, a seasoned programmer, or looking for your first programming gig there is something for all.

To make the event inclusive and accessible to all, we have kept the ticket prices to a bare minimum of 199 INR, or roughly 2.68 USD.

https://preview.redd.it/9soen7u2vhl51.jpg?width=1280&format=pjpg&auto=webp&s=376ef25646c4bfbede310d60d14ab35091eb5225

/r/flask
https://redd.it/inj0pu

[P] YLYL but I made an AI that turns off my PC if I laugh
https://youtu.be/glQlfFsVg-k

/r/MachineLearning
https://redd.it/ini1r5

Ultimate Python study guide

[https://github.com/huangsam/ultimate-python](https://github.com/huangsam/ultimate-python)

Ultimate Python study guide for newcomers and professionals alike. 🐍 🐍 🐍

print("Ultimate Python study guide")

I created a GitHub repo to share what I've learned about [core Python](https://www.python.org/) over the past 5+ years of using it as a college graduate, an employee at large-scale companies and an open-source contributor of repositories like [Celery](https://github.com/celery/celery) and [Full Stack Python](https://github.com/mattmakai/fullstackpython.com). I look forward to seeing more people learn Python and pursue their passions through it. 🎓

Here are the primary goals of creating this guide:

🏆 **Serve as a resource** for Python newcomers who prefer to learn hands-on. This repository has a collection of standalone modules which can be run in an IDE like [PyCharm](https://www.jetbrains.com/pycharm/) and in the browser like [Repl.it](https://repl.it/languages/python3). Even a plain old terminal will work with the examples. Most lines have carefully crafted comments which guide a reader through what the programs are doing step-by-step. Users are encouraged to modify source code anywhere as long as the mainroutines are not deleted and [run successfully](https://github.com/huangsam/ultimate-python/blob/master/runner.py) after each change.

🏆 **Serve as a pure guide** for those who want to revisit core Python concepts. Only [builtin libraries](https://docs.python.org/3/library/) are leveraged so that these concepts can be conveyed without the overhead of domain-specific concepts.

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

When to use Classes and when to use Functions in Django

The title says it all. I'm a little confused about when to use Classes or Functions in [Views.py](https://Views.py) on Django.

/r/djangolearning
https://redd.it/inkg7v

Keep a <div> scrolled all the way to the bottom as new input is appeneded.

Hey all! Question is pretty simple; I have a div that is dynamically extended as the user sends input. Everything is working quite nicely, except that every time the user submits a new request, the div pops all the way back up to the top. I would prefer that the div always stay scrolled at the bottom unless the user scrolls up with their mouse.
Basically I want to do what the user in [this question](https://stackoverflow.com/questions/15688656/how-to-keep-a-div-scrolled-to-the-bottom-as-html-content-is-appended-to-it-via-j) has already accomplished (not what they are asking in this SO post). However they are using JavaScript and obviously I am using Flask. Is there an easy way to do this using Flask? If not, is there another way this may be accomplished?


Any help would be much appreciated!

/r/flask
https://redd.it/inrju5

Why Python list comprehensions are faster and more elegant

Hello! Since my last disassemble-ing video was so well received, I made another one!

In this video we disassemble list comprehensions and find out why they are faster than their for loop cousins: [https://www.youtube.com/watch?v=kp0QWQbSv30](https://www.youtube.com/watch?v=kp0QWQbSv30)

If you are not familiar with Python bytecode, feel free to check this other video out before which explains it: [https://www.youtube.com/watch?v=HY7cMB0Rx8w](https://www.youtube.com/watch?v=HY7cMB0Rx8w)

I would love to see a discussion on if you've ever heard of python bytecode, and if you have, how you have used it to improve your understanding of the Python interpreter!

/r/Python
https://redd.it/inmda0

Monday megathread: Project ideas!

Comment any project ideas beginner or advanced in this thread for others to give a try! If you complete one make sure to reply to the comment with how you found it and attach some source code!

/r/Python
https://redd.it/inwyn1

My Django app passes authentication on localhost, but not on heroku

So I created a simple "social media website" where by using API I GET data from a database and I can also POST to create a social media post after I register and log in. On my localhost it all works well. I can register, login, then write a social media post and it displays on the screen. However, when I use Heroku, GET API works fine, but after I log in (and I am sure I am logged in as I can log in on admin), I cannot write anything on my website. In my IDE I get: Forbidden: /api/posts/action/

In the network page I can see this:

Request URL: http://localhost:8000/api/posts/action/ Request Method: POST Status Code: 403 Forbidden Remote Address: 127.0.0.1:8000 Referrer Policy: no-referrer-when-downgrade

Any idea where should I look for an error? If there is any code I should send, let me know. Thank you!

/r/django
https://redd.it/io0jc7

Tesla V100 GPUs are now available in Colab! [Discussion]

&#x200B;

https://preview.redd.it/gs55dli7ynl51.png?width=712&format=png&auto=webp&s=2cf12b68096df12d08ac4d71a55acb4872f8b921

/r/MachineLearning
https://redd.it/io201w

I created a coronavirus dashboard using Dash from Plotly making predictions for all countries and US states

I created a [coronavirus dashboard showing all COVID-19 deaths/cases][1] for all countries and US states along with predictions for all those areas.

I also created a [page to view model performance][2] for all areas at any historical date.

The model is built by first using repeated moving average smoothing and then a combination of exponential and logistic growth functions with growth rate modeled as a function of time.

Libraries used:

* pandas to read in and clean the data
* scipy to fit function parameters
* plotly to make visualizations
* dash to build web application

[1]: https://coronavirus.dunderdata.com
[2]: https://coronavirus.dunderdata.com/model_performance

/r/Python
https://redd.it/io9650

[D] PSA: NVIDIA's Tensor-TFLOPS values for their newest GPUs include sparsity

NVIDIA claims the 3080 has 238 ‘Tensor-TFLOPS’ of performance from their tensor cores, the 3090 has 285, and the 3070 has 163. As usual, these numbers are for 16-bit floating point. In contrast, the 2080 Ti has only 114 TFLOPS of ‘Tensor-TFLOPS’, so you would be forgiven for thinking the 30 series will be much faster at training.

Alas, the values for the 30 series are *TFLOPS-equivalent with sparsity*, not actual TFLOPS. Ampere has support for ‘2:4 structured sparsity’, which accelerates matrix multiplications where half of the values in every block of four are zeroed. This means that the actual number of TFLOPS for the 3080, 3090 and 3070 are 119, 143, and 81.

When Ampere originally launched on the A100, NVIDIA was [very clear](https://www.nvidia.com/en-gb/data-center/a100/#specifications) about differentiating real TFLOPS from TFLOPS-equivalent with sparsity. It is incredibly disappointing that NVIDIA have been not at all upfront about this with their new GeForce GPUs. This is made worse by the fact that the tensor cores have been cut in half in the GeForce line relative to the A100, so it is easy to get confused into thinking the doubled numbers are correct.

Although hardware sparsity support is a great feature, it obviously only provides benefits

/r/MachineLearning
https://redd.it/ioa9za

Python Tips and Best Practices for Building Robust Data Science Workflows
https://medium.com/swlh/software-engineering-tips-and-best-practices-for-data-science-5d85dbcf87fd

/r/Python
https://redd.it/io4rx5

[D] Which GPU(s) to get for Deep Learning (Updated for RTX 3000 Series)

Tim Dettmers just updated his legendary blogpost to include advice for the RTX 3000 series

Blog: [https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/](https://timdettmers.com/2020/09/07/which-gpu-for-deep-learning/)

PS: I had a chance to interview him earlier last year, this interview also has some very general PC Building advice: [https://www.youtube.com/watch?v=8Fp9m4fNDQ4](https://www.youtube.com/watch?v=8Fp9m4fNDQ4)

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

Tuesday megathread: 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 megathread tomorrow (Wednesday) where you can ask any question! We may remove questions here and ask you to resubmit tomorrow.**

/r/Python
https://redd.it/ioj3st

Beginner looking for advice on Flask + machine learning

I want to do a personal project, creating a Flask website that uses Nvidia's StyleGAN2 to generate some faces. I'm learning Flask because I'm familiar with deploying machine learning models in Python, so I figured a flexible Python microframework would be best.

The problem I'm facing is that StyleGAN2 requires GPU to run, and I'm using a Macbook without a discrete GPU (it uses Intel Iris Plus Graphics 640 1536 MB). I'm very comfortable with machine learning in Python using Google Collab, which provides GPU services, but I don't know how to host a website and access GPU to run ML models. Would AWS/Azure work well, and if so, which would allow me to easily leverage GPU in the cloud to host a website? Do I need to learn/use Docker?

I'm not super familiar with web development, so any input whatsoever would be appreciated :)

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

[R] Measuring Massive Multitask Language Understanding; a new test consisting of 14,080 questions given to GPT-3 (4 model sizes), UnifiedQA, and T5

[https://arxiv.org/abs/2009.03300](https://arxiv.org/abs/2009.03300)

Abstract:

>We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. To attain high accuracy on this test, models must possess extensive world knowledge and problem solving ability. We find that while most recent models have near random-chance accuracy, the very largest GPT-3 model improves over random chance by almost 20 percentage points on average. However, on every one of the 57 tasks, the best models still need substantial improvements before they can reach human-level accuracy. Models also have lopsided performance and frequently do not know when they are wrong. Worse, they still have near-random accuracy on some socially important subjects such as morality and law. By comprehensively evaluating the breadth and depth of a model's academic and professional understanding, our test can be used to analyze models across many tasks and to identify important shortcomings.

/r/MachineLearning
https://redd.it/iol3l7