June 24, 2024 – SciPy 1.14.0 has been released!
May 22, 2024 – SciPy 1.13.1 has been released!
April 2, 2024 – SciPy 1.13.0 has been released. This is the first stable release to support the NumPy 2.x series, and is backwards compatible to NumPy 1.22.4.
January 20, 2024 – SciPy 1.12.0 has been released!
November 18, 2023 – SciPy 1.11.4 has been released!
September 27, 2023 – SciPy 1.11.3 has been released!
August 17, 2023 – SciPy 1.11.2 has been released, and includes wheels for Python 3.12.
June 28, 2023 – SciPy 1.11.1 has been released!
June 25, 2023 – SciPy 1.11.0 has been released!
May 10, 2023 – Fostering an Inclusive Culture: Call for Participation
How can we be better when it comes to diversity and inclusion? Read the report and find out how to get involved here https://contributor-experience.org/docs/posts/dei-report/
February 19, 2023 – SciPy 1.10.1 has been released!
January 3, 2023 – SciPy 1.10.0 has been released!
November, 2022 – SciPy received a grant from the Chan Zuckerberg Initiative!
See https://chanzuckerberg.com/eoss/proposals/scipy-fundamental-tools-for-biomedical-research/
October 19, 2022 – SciPy 1.9.3 has been released!
October 8, 2022 – SciPy 1.9.2 is a bug fix release that also includes binary wheels for Python 3.11.
August 26, 2022 – SciPy 1.9.1 has been released!
July 29, 2022 – SciPy 1.9.0 has been released!
June 27, 2022 – Join us at SciPy 2022 July 11th - 17th!
May 18, 2022 – SciPy 1.8.1 has been released!
February 5, 2022 – SciPy 1.8.0 has been released!
November 24, 2021 – SciPy 1.7.3 is a bug-fix release that adds MacOS 12+ arm64 binary wheels.
November 5, 2021 – SciPy 1.7.2 is a bug-fix release that adds support and binary wheels for Python 3.10.
August 1, 2021 – SciPy 1.7.1 is a bug-fix release with no new features compared to 1.7.0.
2020-07-02 – The first-ever NumPy community survey is LIVE! See https://numpy.org/news/
2019-11-15 SciPy, NumPy, Matplotlib, Pandas, scikit-learn, scikit-image, Dask, Zarr and others received functions from the Chan Zuckerberg Initiative! See https://chanzuckerberg.com/eoss/
2019-11-13 See the survey results here.
SciPy becomes a NumFOCUS fiscally sponsored project 2019-04-18
2019-10-04 Tell us how we can improve the documentation.
2019-07-08 SciPy, the 18th annual Scientific Computing with Python conference, will be held July 8-14, 2019 in Austin, Texas.
The EuroSciPy meeting is a cross-disciplinary gathering focused on the use and development of the Python language in scientific research. The 2017 edition will take place in Erlangen, Germany, Aug 28--Sep 1.
SciPy, the 16th annual Scientific Computing with Python conference, will be held July 10-16, 2017 in Austin, Texas.
EuroSciPy is the European gathering for scientists using Python. The 2014 edition will take place in Cambridge, UK, Aug. 27-31.
SciPy is an annual conference for scientists using Python. The 2014 edition will take place in Austin, Texas, July 6-12.
EuroSciPy is the European gathering for scientists using Python. The 2013 edition will take place in Brussels, Aug. 21-24.
SciPy is an annual conference for scientists using Python. The 2013 edition will take place in Austin, Texas, June 24-29.
The SIAM Conference on Computational Science and Engineering will take place in Boston, February 25-March 1, 2013, and for this version there will be a track focused on the topic of Big Data.
The annual meeting of the American Meteorological Society takes place January 6-10, 2013, and includes the Third Symposium on Advances in Modeling and Analysis Using Python.
The eleventh annual conference on python in science, SciPy 2012, took place July 16 - 21 in Austin, Texas.
EuroSciPy is the European gathering for scientists using Python. The 2012 edition took place in Brussels, Aug. 23-27.
PyCon is the largest annual gathering for the community using and developing the open-source Python programming language. This year the conference took place March 7 - 15 in Santa Clara, California.
Here is a list of SciPy releases, with links to release notes. Bugfix
releases (only the z changes in the x.y.z version number) have no new
features; minor releases (the y increases) do.