The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Overview: Pandas works best for small or medium datasets with standard Python libraries.Polars excels at large data with ...

TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...

The 2023 Corruption Perceptions Index (CPI) shows that corruption is thriving across the world. The CPI ranks 180 countries and territories around the globe by their perceived levels of public sector ...

Data found in the NHS oversight framework dashboards are also made available in comma-separated variables (csv) files to allow users to carry out their own analyses. Value The reported trust value for ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...