Jake Vanderplas
Google (United States)(US)
Publications by Year
Research Areas
Computational Physics and Python Applications, Scientific Computing and Data Management, Astronomy and Astrophysical Research, Genetics, Bioinformatics, and Biomedical Research, Biomedical and Engineering Education
Most-Cited Works
- → Scikit-learn: Machine Learning in Python(2012)63,383 cited
- → SciPy 1.0: fundamental algorithms for scientific computing in Python(2019)11,505 cited
- → The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package*(2018)6,903 cited
- API design for machine learning software: experiences from the scikit-learn project(2013)
- → Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python(2020)1,520 cited
- → Understanding the Lomb–Scargle Periodogram(2018)1,164 cited
- → FIRST-YEAR SLOAN DIGITAL SKY SURVEY-II SUPERNOVA RESULTS: HUBBLE DIAGRAM AND COSMOLOGICAL PARAMETERS(2009)668 cited
- → mwaskom/seaborn: v0.8.1 (September 2017)(2017)415 cited
- → Statistics, Data Mining, and Machine Learning in Astronomy(2014)326 cited
- Python data science handbook essential tools for working with data(2016)