The mat package from Gonum provides implementations of float64 and complex128 matrix structures and linear algebra operations on them in Go. It offers interfaces for matrix classes, concrete implementations such as Dense and SymDense, methods for using matrix data, and types for matrix factorizations such as QR and LU.
Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
JupyterLab is an extensible notebook authoring application and editing environment within Project Jupyter. A notebook combines code, text descriptions, data and visualizations. JupyterLab provides an environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas. It is a sibling to Jupyter Notebook and Jupyter Desktop and is described as offering a more advanced, customizable experience than Jupyter Notebook.
A data and trends page from PeptaHub presenting statistics on peptide compounds, covering legal status, research evidence, administration routes and categories. The page states that 156 peptide profiles were analyzed across 10 therapeutic categories, 5 legal classifications and 6 routes of administration, with the dataset available as JSON and CSV downloads under CC BY 4.0.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
Community notes
Be the first to share how this project worked for you.
Sign in with a verified account to leave a review or join the discussion.
Sign in to reviewKeep exploring
Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
Git Large File Storage (Git LFS) is an open source Git extension for versioning large files. It replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git while storing the file contents on a remote server like GitHub.com or GitHub Enterprise. Installation is available for Windows, Mac, and Linux. Tracking file types does not convert pre-existing files, which requires the git lfs migrate command.
JupyterLab is an extensible notebook authoring application and editing environment within Project Jupyter. A notebook combines code, text descriptions, data and visualizations. JupyterLab provides an environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas. It is a sibling to Jupyter Notebook and Jupyter Desktop and is described as offering a more advanced, customizable experience than Jupyter Notebook.
A data and trends page from PeptaHub presenting statistics on peptide compounds, covering legal status, research evidence, administration routes and categories. The page states that 156 peptide profiles were analyzed across 10 therapeutic categories, 5 legal classifications and 6 routes of administration, with the dataset available as JSON and CSV downloads under CC BY 4.0.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
