https://pypi.org/project/raincell/ Recent updates to the Python Package Index for raincell en https://pypi.org/project/raincell/0.2.8/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Fri, 24 Apr 2026 19:35:41 GMT https://pypi.org/project/raincell/0.2.7/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Tue, 21 Apr 2026 08:52:19 GMT https://pypi.org/project/raincell/0.2.6/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Mon, 20 Apr 2026 16:41:23 GMT https://pypi.org/project/raincell/0.2.5/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Fri, 17 Apr 2026 16:42:04 GMT https://pypi.org/project/raincell/0.2.4/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Wed, 15 Apr 2026 14:39:54 GMT https://pypi.org/project/raincell/0.2.3/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Tue, 14 Apr 2026 15:12:11 GMT https://pypi.org/project/raincell/0.2.2/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Tue, 14 Apr 2026 14:03:22 GMT https://pypi.org/project/raincell/0.2.1/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Wed, 21 Jan 2026 16:02:31 GMT https://pypi.org/project/raincell/0.2.0/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Tue, 13 Jan 2026 16:42:47 GMT https://pypi.org/project/raincell/0.1.2/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Fri, 09 Jan 2026 16:08:57 GMT https://pypi.org/project/raincell/0.1.1/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Thu, 08 Jan 2026 16:55:52 GMT https://pypi.org/project/raincell/0.1.0/ A user-friendly Python library for transforming commercial microwave links into rain estimation insights. Built with nbdev and Jupyter notebooks, this tool offers robust scientific and visualization capabilities, tailored for researchers in the field. marielle.gosset@ird.fr Mon, 01 Dec 2025 16:49:49 GMT