barfi 0.7.0

Geemap is a Python package designed for interactive mapping with Google Earth Engine (GEE). It provides an intuitive interface for manipulating, analyzing, and visualizing geospatial big data in a Jupyter-based environment. Geemap supports various Python libraries and offers advanced features like data conversion, interactive plotting, and image classification. It also allows developers to export Earth Engine maps as HTML files and PNG images, making it a comprehensive solution for geospatial data handling.

leafmap is a powerful Python package that brings interactive mapping and geospatial analysis to your fingertips. Born from geemap, leafmap is designed to serve non-Google Earth Engine users, offering a platform for analyzing and visualizing geospatial data with minimal coding. Whether you're working in Google Colab, Jupyter Notebook, or JupyterLab, leafmap makes geospatial data analysis accessible and straightforward. It integrates with folium, ipyleaflet, whiteboxtools, and ipywidgets, providing a rich set of tools for interactive mapping and geospatial analysis.

Generate profile report for pandas DataFrame

Microsoft Recommenders - Python utilities for building recommender systems

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Recommender System Utilities

This guide demonstrates four ways to export a Jupyter notebook to a Markdown file:

Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

PyCaret - An open source, low-code machine learning library in Python.