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.

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 ...

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.

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

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

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.