https://pypi.org/project/brixs/ Recent updates to the Python Package Index for brixs en https://pypi.org/project/brixs/0.1.1/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Mon, 08 Dec 2025 20:09:12 GMT https://pypi.org/project/brixs/0.1.0/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Mon, 08 Dec 2025 14:22:11 GMT https://pypi.org/project/brixs/0.0.21/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Thu, 30 Oct 2025 13:20:50 GMT https://pypi.org/project/brixs/0.0.20/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 07 Oct 2025 18:14:14 GMT https://pypi.org/project/brixs/0.0.19/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Thu, 02 Oct 2025 15:59:43 GMT https://pypi.org/project/brixs/0.0.18/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Mon, 15 Sep 2025 09:01:49 GMT https://pypi.org/project/brixs/0.0.17/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Wed, 10 Sep 2025 09:28:05 GMT https://pypi.org/project/brixs/0.0.16/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Wed, 10 Sep 2025 07:17:21 GMT https://pypi.org/project/brixs/0.0.15/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 02 Sep 2025 22:54:11 GMT https://pypi.org/project/brixs/0.0.14/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 02 Sep 2025 22:51:04 GMT https://pypi.org/project/brixs/0.0.13/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 02 Sep 2025 22:43:06 GMT https://pypi.org/project/brixs/0.0.12/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 26 Aug 2025 03:00:34 GMT https://pypi.org/project/brixs/0.0.9/ An object-oriented Python package for processing and analyzing RIXS and XAS experimental data, designed to be user-friendly and efficient for scientific research. carlos.galdino@psi.ch, thiago.mori@lnls.br, felipe.custodio@lnls.br, tulio.rocha@lnls.br Tue, 26 Aug 2025 02:25:30 GMT