1.jpmorganchase / python-training
Python training for business analysts and traders
Ranked by Attention Score: stars gained over the last 7 complete days
34 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Python training for business analysts and traders
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
The Cloud Native AI Platform
Performance analysis of predictive (alpha) stock factors
JupyterLab computational environment.
:zap: A Fast, Extensible Progress Bar for Python and CLI
An open source extension that connects AI agents to computational notebooks in JupyterLab.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Interactive Data Visualization in the browser, from Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Data Apps & Dashboards for Python. No JavaScript Required.
List of Data Science Cheatsheets to rule the world
JupyterLab desktop application, based on Electron.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
A curated list of awesome Jupyter projects, libraries and resources
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Tools for diffing and merging of Jupyter notebooks.
A Jupyter - Leaflet.js bridge
GRASS - free and open-source geospatial processing engine
GoNB, a Go Notebook Kernel for Jupyter
Ready-to-run Docker images containing Jupyter applications
📚 Parameterize, execute, and analyze notebooks
Automatically visualize your pandas dataframe via a single print! 📊 💡
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
Jupyter magics and kernels for working with remote Spark clusters
Python DataFrames as Interactive DataTables
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
A filesystem-like contents manager for multiple backends in Jupyter
Search your Jupyter notebook files (.ipynb) from bash.
Modern, interactive charts for Jupyter notebooks with Apache ECharts