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Gurleenalag / repository
A repository containing Python-based data analysis projects, code practice files, and Jupyter notebooks showcasing exploratory data analysis, data wrangling, and visualization techniques.
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Collection of Jupyter Notebook tasks and projects focused on data analysis with Pandas, completed as part of my coursework/practice.
This repository contains a collection of tasks and projects completed in Jupyter Notebook, exploring data analysis and manipulation using Pandas library.
This project is released under the MIT License.
Selected from shared topics, language and repository description—not editorial ratings.
janblechschmidt /
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
80/100 healthintegrativebioinformatics /
This repository contains scNotebooks, a collection of interactive Jupyter and Google Colab notebooks designed to teach and practice single‑cell and spatial transcriptomics. The notebooks guide learners through the complete workflow from introductory steps and single‑cell pipelines to diverse analytical approaches, and FAIR and sharing data
75/100 healthStephanRhode /
This repository contains jupyter notebooks and python code for KIT course: Python Algorithms for Automotive Engineering
58/100 healthThis repository will contain the presentation and python jupyter notebooks for my DataHack Summit 2025 conference talk, Building Effective Agentic AI Systems: Lessons from the Field. Drawing from my experience building deploying Agentic AI systems, we’ll focus on three pillars: Architecting, Optimizing, and Observability for Agentic AI Systems.
68/100 healthECCO-GROUP /
This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).
48/100 healthopenworm /
A repository containing code for a number of tutorials on the Hodgkin Huxley model, including an interactive Jupyter notebook
66/100 health