GitHub - nteract/papermill: 📚 Parameterize, execute, and analyze notebooks - discu.eu

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Papermill: Parameterizing, executing, and analyzing Jupyter Notebooks https://github.com/nteract/papermill 70 comments 18/9/2024

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GitHub - Ly0n/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace https://github.com/Ly0n/awesome-robotic-tooling 54 comments
The Githubification of InfoSec. Towards a more open, contributor… | by John Lambert | Medium https://medium.com/@johnlatwc/the-githubification-of-infosec-afbdbfaad1d1 24 comments
How to use Jupyter Notebooks in 2020 (Part 2: Ecosystem growth) https://ljvmiranda921.github.io/notebook/2020/03/16/jupyter-notebooks-in-2020-part-2/ 21 comments
Automated reports with Jupyter Notebooks (using Jupytext and Papermill) | by CFM Tech | CFM Insights | Medium https://medium.com/capital-fund-management/automated-reports-with-jupyter-notebooks-using-jupytext-and-papermill-619e60c37330 15 comments
GitHub - paw-lu/nbpreview: A terminal viewer for Jupyter notebooks. It's like cat for ipynb files. https://github.com/paw-lu/nbpreview 9 comments
GitHub - microsoft/recommenders: Best Practices on Recommendation Systems https://github.com/Microsoft/Recommenders 8 comments
Dagster: The Data Orchestrator. As machine learning, analytics, and… | by Nick Schrock | Dagster | Medium https://medium.com/dagster-io/dagster-the-data-orchestrator-5fe5cadb0dfb 3 comments
GitHub - alirezadir/Production-Level-Deep-Learning: A guideline for building practical production-level deep learning systems to be deployed in real world applications. https://github.com/alirezadir/Production-Level-Deep-Learning 3 comments
Dagster: The Data Orchestrator | Dagster Blog https://www.dagster.io/blog/dagster-the-data-orchestrator 2 comments
GitHub - markwk/qs_ledger: Quantified Self Personal Data Aggregator and Data Analysis https://github.com/markwk/qs_ledger 0 comments
GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
GitHub - protontypes/awesome-robotic-tooling: Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace. https://github.com/protontypes/awesome-robotic-tooling 0 comments
How to Build Machine Learning Pipelines with Airflow & Papermill | by Yusup | AI³ | Theory, Practice, Business | Medium https://medium.com/ai%C2%B3-theory-practice-business/how-to-build-machine-learning-pipelines-with-airflow-papermill-6baef3832bc6 0 comments
GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
Building a Data Engineering Project in 20 Minutes | https://www.sspaeti.com/blog/data-engineering-project-in-twenty-minutes/ 0 comments
Data Science Meets Devops: MLOps with Jupyter, Git, & Kubernetes | Kubeflow https://blog.kubeflow.org/mlops/ 0 comments
Part 2: Scheduling Notebooks at Netflix | by Netflix Technology Blog | Netflix TechBlog https://medium.com/netflix-techblog/scheduling-notebooks-348e6c14cfd6 0 comments
Concurrency with Python: Data-Intensive Architectures > Ying Wang https://bytes.yingw787.com/posts/2019/02/23/concurrency_with_python_data_intensive_architectures/ 0 comments
Data is Wicked - by Skylar Payne - Data Chasms https://datachasms.substack.com/p/data-is-wicked 0 comments
Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments

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