Python and the Future of AI: Agents, Inference, and Edge AI
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Python and the Future of AI: Agents, Inference, and Edge AI
"According to JetBrains' State of Developer Ecosystem 2025 report, 85% of developers now regularly use AI tools for coding and development, and 62% rely on at least one AI coding assistant."
"One of the most significant shifts in AI right now is the move toward running models locally on laptops, browsers, and devices, rather than in centralized cloud infrastructure."
"Corey Wade's Wednesday tutorial Your First Machine Learning Models: How to Build Them in Scikit-learn is the perfect entry point, a hands-on introduction to the building blocks."
"Fabio Pliger takes a look at the role of the browser with Distributing AI with Python in the Browser: Edge Inference and Flexibility Without Infrastructure, exploring how Python-powered inference can run client-side."
PyCon US introduces a dedicated track on AI with Python, reflecting the growing use of AI tools among developers. A report indicates that 85% of developers use AI tools, with 62% relying on AI coding assistants. The track features eight sessions addressing key themes, including running large language models locally and building voice agents. Tutorials cater to beginners, such as a hands-on introduction to machine learning models. Significant trends include the shift towards local model execution and browser-based AI applications, emphasizing practical techniques for developers.
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