Answers questions on pandas: DataFrames, indexing, groupby, merging, reshaping, IO and time series, citing the exact file in the public docs of the GitHub repo pandas-dev/pandas (BSD-3-Clause). Not an official pandas product.
Answers questions on Streamlit: widgets, caching, session state, multipage apps, connections and deployment, citing the exact file in the public docs of the GitHub repo streamlit/docs (Apache-2.0). Not an official Streamlit product.
Answers questions on Gradio: Interfaces, Blocks, chatbots, streaming and custom components, citing the exact file in the guides of the GitHub repo gradio-app/gradio (Apache-2.0). Not an official Gradio product.
Answers questions on Flask: routing, templates, blueprints, the application context, testing and deployment, citing the exact file in the public docs of the GitHub repo pallets/flask (BSD-3-Clause). Not an official Flask product.
Answers questions on pytest: fixtures, parametrize, markers, plugins and configuration, citing the exact file in the public docs of the GitHub repo pytest-dev/pytest (MIT). Not an official pytest product.
Answers questions on application security from the OWASP Cheat Sheet Series: authentication, sessions, XSS, injection, secrets and more, citing the exact cheat sheet in the GitHub repo OWASP/CheatSheetSeries (CC BY-SA 4.0). Not official.
Answers questions on LangChain and LangGraph: agents, models, tools, memory, streaming and Deep Agents, citing the exact file in the public docs of the GitHub repo langchain-ai/docs (MIT). Not an official LangChain product.
Answers questions on Microsoft's open course ML for Beginners: regression, classification, clustering, NLP and time series, citing the exact lesson in the GitHub repo microsoft/ML-For-Beginners (MIT). Not an official Microsoft product.
Answers questions on FastAPI path operations, validation, dependencies and security, citing the exact file in the public docs of the GitHub repo fastapi/fastapi (MIT). Not an official FastAPI product.
Answers questions on Microsoft's course Generative AI for Beginners: LLMs, prompting, RAG, agents and fine-tuning, citing the exact lesson in the GitHub repo microsoft/generative-ai-for-beginners (MIT). Not an official Microsoft product.
“## Required software - [Python 3.9](https://www.python.org/downloads/?WT.mc_id=academic-105485-koreyst) or greater”