Madagascar
1996
Search results
Website. fperez .org. Fernando Pérez is a Colombian-American physicist, software developer, and free software advocate. He is best known as the creator of the IPython programming environment, [1] [2] [3] [4] [5] [6] for which he received the 2012 Free Software Award from the Free Software Foundation and for his work on Project Jupyter for ...
Aug 19, 2021 · We spoke with Pérez about why he started this project, what challenges he’s faced and what to expect from him and Project Jupyter next. As Project Jupyter celebrates 20 years, Fernando Pérez reflects on how it started, open science’s impact and the value of diversity in coding | CDSS at UC Berkeley
https://vcresearch.berkeley.edu/faculty/fernando-perez. Fernando Pérez's research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages, interactive and literate computing, and reproducible research.
Lilli Wessling Hart. On April 24, 2024, BIDS Faculty Director Fernando Pérez was presented with a 2023 Exceptional Public Service Medal, one of NASA's major recognitions for non-government personnel and granted for exceptional contributions to NASA’s mission.
Fernando Perez. Data Science Software Engineering Applied Mathematics Numerical Algorithms Scientific Computing. Jupyter Notebooks-a publishing format for reproducible computational workflows. T Kluyver, B Ragan-Kelley, F Pérez, BE Granger, M Bussonnier, ...
Statistics at UC Berkeley. Core Team. Fernando Pérez is an Associate Professor in Statistics at UC Berkeley and scientist at LBNL. He builds open source tools for humans to use computers as companions in thinking and collaboration, mostly in the scientific Python ecosystem (IPython, Jupyter & friends).
Bio/CV: Associate Professor, Statistics, UC Berkeley. Faculty Scientist, Data Science and Technology Division, LBNL. Co-PI for Moore/Sloan Data Science Environments. Fernando Pérez's research focuses on creating tools for modern computational research and data science across domain disciplines, with an emphasis on high-level languages ...
