Revolutionize Conversational App Development: A Guide to Building Chat-based Applications with Streamlit and GPT.

Powerful type validation and discriminated Unions with Pydantic: Simplify data structures and ensure type safety. We are showcasing a few straightforward examples.

Are you feeling stressed tracking the new releases of your favorite project? Are you moving to a management role and struggling to stay updated about your favorite projects and languages? With this Project Tracker and Explainer Streamlit app, you’ll stay tuned.

With the power of GPT and Whisper models, you can create a virtual assistant that is tailored to your needs. Reading this article, you’ll learn how to record and transcribe audio, translate text, generate responses with GPT, and play responses out loud using text-to-speech synthesis.

Mastering Column Selection in Python. Polars Selectors for Efficient DataFrame Handling.

Using apply with lambda functions is less performant than the native Polars API functions. Now, you are warned about it and are presented with a more efficient alternative.

Unlocking the Power of Python Polars: A Comprehensive Guide to Selecting and Manipulating Datetime Columns with Selectors and dst_offset.

Creating an interactive datetime Slider with Python Streamlit. As easy as pie

Whirling Vectors in Ursina: Spin Your Way to 3D Awesomeness!