There are popular web frameworks in Python (Django, Flask) which I see job postings for semi regularly. I've also worked on a few in house codebases that were in Python (backend services and API endpoints).

I use it for quick scripts to import some data or transform it or just to print out result to console to check it out. I just started recently and it's not too attractive to me to switch over everything. Like lambdas have to be defined in lamda x: x.somefun() ... while on JVM stack I'm used to x -> x.doSomething(). Also map(lambda x: x.call(), list) is much uglier to me than list.map(x -> x.call(). Once I learn more maybe I'll find prettier ways and start using it for most of my small stuff like I do Groovy + Micronaut now.

I do love me some Python for automation and admin stuff. For example to format json, because the admin hates me and I don't have jq on hand, like this:
echo '{"one":1,"two":2}' | python -m json.tool

Though, I've been having a really good time with go lately, which will probably replace Python for me in the long run.

Yep! I work at a university and I build web apps using Flask, which is a Python web framework.

Python is my main language. I use it all the time.

• API wrappers
• Automation
• CLI apps
• scraping
• competitive programming

just to name a few

I feel like Python is a pretty all-purpose "simple" programming language, lots of scripting scenarios, web dev, and more.

I use Python pretty regularly for automating systems administration type stuff, both by writing my own scripts (I much prefer Python for text processing over sed or awk, it's much more readable), or by utilizing (popular) tools written in Python like Ansible.

Python is actually really good for this type of thing because it's both much safer (in terms of stuff like error handling) and more powerful than shell script, but still very easy to learn and use.

Application development here! Here's a couple of my projects (in progress):

pip install Timecard-App

pip install --user Timecard-App

timecard-app

{
    "Office Stuff"
    {
        "thing": [
            "stack

I use Python everyday for building backend servers using FastAPI, SQLAlchemy, Pydantic and all that jazz. It's pretty nice. Everyday I learn something new.

I just used Python for the first time, I built a web scraper that finds all developer jobs in the US from Craigslist. I wrote an article about how I built it.

Python is from 1991, it got famous for the latest evolution of data science relatively recently (though Numpy and SciPy are not new). I've worked, in a professional and non professional environment on: parsers, web servers and web apps, lots of data manipulation, data science, game dev, networking and socket programming, scripting and system administration, even school assignments back then 😂

Having been a long time user to me it's a bit amusing when people discover Python has.a long and tried history of being used for anything but data science and AI.

I will leave you a few keywords if you want to do some research: Python and Django and Celery at Instagram, Python at YouTube, Industrial Light and Magic, Google's abandoned project Unladen Swallow, MyPy which basically came out of Dropbox as they have a massive Python codebase, Eve online and Python, all the financial companies using Python to interface with C++ numeric libraries like QuantLib and many other types of usage.

Python was literally designed to be a general purpose language easily extendable by C or C++ and I remember a time when people were complaining that all Python devs were building was web frameworks and blog engines (for example Django is as old as Rails though less popular)

At a recent Python meetup, we had a demo of someone automating their house with Home Assistant and, at work, we make use of Ansible - both open source projects using Python!

I have worked on a few AWS-based projects creating serverless functions with Python. Makes API creation a lot easier :)

I'm learning Flask, but I've built a couple hobby CLIs when I was getting started with Python or to experiment with APIs. Don't think I've every used Python for data science or ML actually.

I use python to do all my symbolic and numerical calculations in my research of particle physics.

Yes I used for AWS automation like CD, CI , Creating AWS instances etc. Also sometime i used for based API creation.

I do !
My website is programmed in python.

Doing web automation by writing scripts.