"marimo is notebook for Python, built using Python. Python's built-in AST module is what makes marimo's reactive runtime possible."

"Python Is great when it comes to training models, perfect for building image editing tools. Thank you Python. "

"Partly because it enabled some much more useful framework choices. Partly because it gave me an excuse to dive into some of the newer features (e.g. async) that weren’t around last time I was a 100%-full-time python dev. Mainly, though, it’s just a good language, so why not?"

"Python Is great when it comes to training models, perfect for building image editing tools. Thank you Python. "

"Python.org – The official home of the Python Programming Language "

"Shout out to Python, the only snake I like. Without out it, Fitcheck AI could not have been built :)"

"Python is the core programming language used for developing the Exifa.net app"

"EXPOSE's SSH server is written in Python using the AsyncSSH library. This combination provides a fast and efficient tool."

"Super easy to build API endpoints with, and super easy to learn. I used it for the backend."

"Our LangChain integration is written in Python and released open source. We want it to be easy for the data science community to try it out. "

"Building the project using Python allowed us to create very flexible solutions when implementing various APIs. Using Python likely cut down our initial development time by half."

"I can focus on developing the product, rather than worrying about the syntax, it's the best for super fast prototyping!"

"Python is a core technology in the toolkit of many data scientists and data engineers. They can connect with MotherDuck using the DuckDB client, run SQL on pandas dataframes and join with cloud data."

"Python's clean syntax and flexibility make it ideal for writing maintainable web application code, and it has an amazing ecosystem."

"Special thanks to Python for its robust and efficient data processing capabilities which processed complex graphs and visualizations quickly using our specialized internal libraries. Python's versatility has been instrumental in powering ChartFast."

"I chose Python for its simplicity and extensive library support. It's preferred over alternatives for its readability, community support, and versatility in various development tasks."