Data Science Workflows — Notebook to Production

Databases Code Collaboration Data Science And Machine Learning

Jupyter Landing Page

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Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Born out of IPython in 2014, Project Jupyter has seen enthusiastic adoption among the data science community to become the de facto standard tool for prototyping. Its impact was officially acknowledged in 2017 when chosen to receive the ACM Software Systems Award, an honor shared with Unix, the Web, Java, and such.

#Data Science And Machine Learning #Data Science Tools #Data Science Notebooks 205 social mentions
iPython Landing Page

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iP

iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.

Born out of IPython in 2014, Project Jupyter has seen enthusiastic adoption among the data science community to become the de facto standard tool for prototyping. Its impact was officially acknowledged in 2017 when chosen to receive the ACM Software Systems Award, an honor shared with Unix, the Web, Java, and such.

#Python IDE #Text Editors #IDE 18 social mentions
Git Large File Storage Landing Page
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Git Large File Storage

Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers.
Pricing:
- Open Source
Git was designed for managing software development projects and for versioning text/code files. Therefore, Git doesn’t handle large files. Git released Git LFS (Large File System) to overcome large file versioning, which is better than Git, but fails when scaling. Also, both Git and Git LFS are not optimized for data science workflow. To overcome this challenge, many powerful tools emerged in recent years, such as DVC, Delta Lake, LakeFS, and more.

#Git #Development #Code Collaboration 100 social mentions
Delta Lake Landing Page
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Delta Lake

Application and Data, Data Stores, and Big Data Tools
Pricing:
- Open Source
Git was designed for managing software development projects and for versioning text/code files. Therefore, Git doesn’t handle large files. Git released Git LFS (Large File System) to overcome large file versioning, which is better than Git, but fails when scaling. Also, both Git and Git LFS are not optimized for data science workflow. To overcome this challenge, many powerful tools emerged in recent years, such as DVC, Delta Lake, LakeFS, and more.

#Office & Productivity #Development #Data Science And Machine Learning 31 social mentions