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Learn how to build a ChatGPT-style GIS application in a Jupyter Notebook using Python, geemap, OpenStreetMap, Mercury and a local LLM.

Learn how to build an AI chatbot in Python that talks to your PostgreSQL database using a local LLM (GPT-OSS) and Ollama. Generate SQL queries, tables, and charts - fully offline.

Zobacz jak zbudować aplikację chat w Pythonie z użyciem Mercury i polskiego modelu Bielik LLM. Krok po kroku: Ollama, notebook Jupyter, streaming odpowiedzi i lokalny chatbot AI.

Mercury 3.0.0 is a major rewrite of the open-source framework that turns Python notebooks into interactive web apps. With full ipywidgets support, live app preview, and a Jupyter-based architecture, Mercury makes it easier than ever to share data science discoveries, dashboards, and AI-powered tools with non-technical users.

Explore the Navy SEALs approach to performance vs trust and discover how it relates to AI in software development. Learn why trust, not just performance, is crucial for building reliable AI systems and high-performing teams.

Discover what an AI data analyst really is. Learn about AutoML tools, people using AI for data analysis, and autonomous AI agents. Get practical examples and see how AI is changing data analysis for everyone.

Explore practical AutoML projects using 10 popular datasets for binary classification, multiclass classification, and regression tasks. Learn how to effectively use MLJAR AutoML in Python notebook.

Exploratory Data Analysis in Python simplified: Discover powerful tools like Skrub, ydata-profiling, Pygwalker, and AI assistants to quickly analyze data and uncover valuable insights.

You can use OpenAI ChatGPT in Python notebook for advanced data analysis and visualization. When using ChatGPT inside notebook you can control code excution,

Learn how to use ChatGPT inside Jupyter Notebook with MLJAR Studio. You can use OpenAI ChatGPT for Python coding to perform data analysis and visualization.