"LaTeX is a powerful tool for writing mathematical notation and equations. It is widely used in academic papers, research papers, and technical reports. You can convert Python code to LaTeX in Jupyter notebooks using four powerful tools: Snyk hosted DevSecCon25 is back, and this time with the very first AI Security Developers Challenge! Get hands-on experience with the latest AI security practices and methodologies for your own AI-driven projects."
"Join Glean:LIVE on Sept 25 for a first look at our next‑gen Assistant and Agents. See our new agentic engine, how to vibe code an agent leveraging SDK & APIs you're already familiar with, and hear a fireside chat with eBay's CIO on deploying AI at scale. Use Online Python training created by a community of experts. Give your team the 3 Tools To Convert Python Code to LaTeX Math IPython.display.Latex, handcalcs, CODECUT.AI * Shared by Khuyen Tran latexify-py, and Dangers of Automatically Converting a REST API to MCP SymPy."
LaTeX provides robust support for writing mathematical notation and equations and is commonly used in academic and technical documents. Jupyter notebooks can convert Python code to LaTeX using tools such as IPython.display.Latex, handcalcs, CODECUT.AI, latexify-py, and SymPy. Events and learning opportunities include DevSecCon25 with an AI Security Developers Challenge and Glean:LIVE showcasing a next-gen Assistant, agentic engine, and agent development techniques using familiar SDKs and APIs. Recommended practices cover converting REST APIs to the Model Context Protocol and avoiding anti-patterns for clean agent context. Additional updates include Playwright and pytest testing tips, Python 3.14.0rc3, PEP 804, Django 6.0 Alpha 1, and PyCon Australia videos.
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