Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

1. Environment Setup: The development process begins with the configuration of a Python environment and the installation of essential libraries such as Ollama, Port audio, Assembly AI, and 11 Labs.

Get a hands-on introduction to generative AI with these Python-based coding projects using OpenAI, LangChain, Matplotlib, SQLAlchemy, Gradio, Streamlit, and more.

The most popular AI helpers among Python developers are OpenAI ChatGPT and GitHub Copilot. This is the result of a new survey ...

Meanwhile, new packages for Python are being added all the time and will expand the horizons beyond just AI to include more common use cases, like building advanced websites. There isn’t a task ...

That’s where the 2023 Ultimate AI ChatGPT and Python Programming Bundle comes into play. These courses could show you how to create your own ChatGPT AI bot, learn to code, and more.

Another feature, the Anaconda Toolbox Excel Add-In, allows users to run Python code in Excel spreadsheets. Developers can write scripts that use AI to analyze a spreadsheet’s contents.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.