Python for Scientists and Engineers
Open accessAbstract
Python has arguably become the de facto standard for exploratory, interactive, and computation-driven scientific research. This issue discusses Python's advantages for scientific research and presents several of the core Python libraries and tools used in scientific research.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Guest Editor's Introduction: Python: Batteries Included
Dubois, P. F. (2007) · Computing in Science & Engineering · doi:10.1109/mcse.2007.51 · Cited by 41 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
SciPy 1.0: fundamental algorithms for scientific computing in Python
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2020) · Nature Methods · doi:10.1038/s41592-019-0686-2 · Cited by 38,430 · see citing works
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., et al. (2020) · Nature · doi:10.1038/s41586-020-2649-2 · Cited by 23,826 · see citing works
“[4] K.”
Burger, B., Maffettone, P. M., Gusev, V. V., Aitchison, C. M., Bai, Y., Wang, X., Li, X., Alston, B. M., Li, B., Clowes, R., et al. (2020) · Nature · doi:10.1038/s41586-020-2442-2 · Cited by 1,516 · see citing works
Thermal cameras and applications: A survey
Gade, R., & Moeslund, T. B. (2014) · Machine Vision and Applications · doi:10.1007/s00138-013-0570-5 · Cited by 780 · see citing works
99% Efficient Isolated Three-Phase Matrix-Type DAB Buck–Boost PFC Rectifier
Schrittwieser, L., Leibl, M., & Kolar, J. W. (2020) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2019.2914488 · Cited by 169 · see citing works
Solubility-Weighted Index: fast and accurate prediction of protein solubility
Bhandari, B. K., Gardner, P. P., & Lim, C. S. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa578 · Cited by 97 · see citing works
Post-learning hippocampal replay selectively reinforces spatial memory for highly rewarded locations
Michon, F., Sun, J.-J., Kim, C. Y., Ciliberti, D., & Kloosterman, F. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.048 · Cited by 86 · see citing works
- Authors
- Millman, K. J., & Aivazis, M.
- Affiliations
- California Institute of Technology (US)
- Venue
- Computing in Science & Engineering
- Published
- 2011-03
- Volume
- 13
- Issue
- 2
- Pages
- 9-12
- ISSN
- 1521-9615 (ISSN-L)
- OpenAlex
- W1988054515
- Cited by
- 1,294
- References
- 1
- Citations by year
- 2026: 25 · 2025: 37 · 2024: 46 · 2023: 66 · 2022: 80 · 2021: 149 · 2020: 163 · 2019: 138 · 2018: 96 · 2017: 71 · 2016: 64 · 2015: 86 · 2014: 65 · 2013: 59 · 2012: 48
- FWCI
- 64.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.escholarship.org
- Locations
- Computing in Science & Engineering (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Computational Physics and Python Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
- Keywords
- Python, scientific computing, Python library, scientific programming, interactive computing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
