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.

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 ...

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. This week's report has the scoop on the new Google Agent ...

This isn’t just any AI agent; it’s one that harnesses the power of Python and a cutting-edge technique known as Retrieval Augmented Generation (RAG).

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

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

The AI Platform uses an open-source tool called conda to help software teams manage their Python packages. Many packages rely on other packages, which are known as dependencies, to work.