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View article: astropy/astropy: v4.0.6
astropy/astropy: v4.0.6 Open
See CHANGES.rst for the full changelog
View article: mwaskom/seaborn: v0.11.2 (August 2021)
mwaskom/seaborn: v0.11.2 (August 2021) Open
This is a minor release that addresses issues in the v0.11 series and adds a small number of targeted enhancements. It is a recommended upgrade for all users. |Docs| A paper describing seaborn has been published in the Journal of Open Sour…
View article: mwaskom/seaborn: v0.11.2.rc0
mwaskom/seaborn: v0.11.2.rc0 Open
This is the first release candidate for seaborn v0.11.2, a backwards-compatible release with bug fixes and targeted enhancements. Please test and report any bugs or changed behavior though GitHub issues. See the release notes source for a …
View article: scikit-learn/scikit-learn: scikit-learn 0.24.2
scikit-learn/scikit-learn: scikit-learn 0.24.2 Open
We're happy to announce the 0.24.2 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: seaborn: statistical data visualization
seaborn: statistical data visualization Open
Seaborn is a library for making statistical graphics in Python. It provides a high-level interface to matplotlib and integrates closely with pandas data structures. Functions in the seaborn library expose a declarative, dataset-oriented AP…
View article: xgcm/xrft: Implementing inverse DFT and adding options for window function
xgcm/xrft: Implementing inverse DFT and adding options for window function Open
In this release, we have: Implemented the inverse DFT; Added more options for the window function; Parallelized the isotropization of spectrum; Implemented energy/amplitude correction for windowed spectrum.
View article: scikit-learn/scikit-learn: scikit-learn 0.24.1
scikit-learn/scikit-learn: scikit-learn 0.24.1 Open
We're happy to announce the 0.24.1 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: mwaskom/seaborn: v0.11.1 (December 2020)
mwaskom/seaborn: v0.11.1 (December 2020) Open
This a bug fix release and is a recommended upgrade for all users on v0.11.0. Complete release notes are available on the seaborn website.
View article: mwaskom/seaborn: v0.11.0 (Sepetmber 2020)
mwaskom/seaborn: v0.11.0 (Sepetmber 2020) Open
This is a major release with important new features, enhancements to existing functions, and changes to the library. Highlights include an overhaul and modernization of the distributions plotting functions, more flexible data specification…
View article: mwaskom/seaborn v0.11.0.rc0
mwaskom/seaborn v0.11.0.rc0 Open
This is the first release candidate for v0.11.0, a major release with several important new features and changes to the library. Highlights of the new version include: A modernization of the distributions module, with the introduction of d…
View article: scikit-learn/scikit-learn: scikit-learn 0.23.2
scikit-learn/scikit-learn: scikit-learn 0.23.2 Open
We're happy to announce the 0.23.2 release with several bugfixes: You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-2 You can upgrade with pip as usual: pip install -U scikit-learn The conda…
View article: sphinx-gallery/sphinx-gallery: Release v0.7.0
sphinx-gallery/sphinx-gallery: Release v0.7.0 Open
Full Changelog Implemented enhancements: ENH: Use Sphinx errors #690 (larsoner) ENH: Add support for FuncAnimation #687 (larsoner) Sphinx directive to insert mini-galleries #685 (ayshih) Provide a Sphinx directive to inser…
View article: scikit-learn/scikit-learn: scikit-learn 0.23.1
scikit-learn/scikit-learn: scikit-learn 0.23.1 Open
We're happy to announce the 0.23.1 release which fixes a few issues affecting many users, namely: K-Means should be faster for small sample sizes, and the representation of third-party estimators was fixed. You can check this version out u…
View article: Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python Open
View article: mwaskom/seaborn: v0.10.0 (January 2020)
mwaskom/seaborn: v0.10.0 (January 2020) Open
This is a major update that is being released simultaneously with version 0.9.1. It has all of the same features (and bugs!) as 0.9.1, but there are important changes to the dependencies. Most notably, all support for Python 2 has now been…
View article: scikit-learn/scikit-learn: Scikit-learn 0.22.1
scikit-learn/scikit-learn: Scikit-learn 0.22.1 Open
We're happy to announce the 0.22.1 bugfix release. Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-1. This version supports Python versions 3.5 to 3.8.
View article: scikit-learn/scikit-learn: Scikit-learn 0.21.3
scikit-learn/scikit-learn: Scikit-learn 0.21.3 Open
A bug fix and documentation release, fixing regressions and other issues released in version 0.21. See change log at https://scikit-learn.org/0.21/whats_new/v0.21.html
View article: SciPy 1.0: fundamental algorithms for scientific computing in Python.
SciPy 1.0: fundamental algorithms for scientific computing in Python. Open
View article: scikit-learn/scikit-learn 0.21.2
scikit-learn/scikit-learn 0.21.2 Open
scikit-learn: machine learning in Python
View article: scipy/scipy: SciPy 1.3.0
scipy/scipy: SciPy 1.3.0 Open
SciPy 1.3.0 Release Notes SciPy 1.3.0 is the culmination of 5 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been some API changes in this release, which …
View article: scipy/scipy: SciPy 1.2.1
scipy/scipy: SciPy 1.2.1 Open
SciPy 1.2.1 Release Notes SciPy 1.2.1 is a bug-fix release with no new features compared to 1.2.0. Most importantly, it solves the issue that 1.2.0 cannot be installed from source on Python 2.7 because of non-ASCII character issues. It is …
View article: scipy/scipy: SciPy 1.2.0
scipy/scipy: SciPy 1.2.0 Open
SciPy 1.2.0 Release Notes SciPy 1.2.0 is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes…
View article: Altair: Interactive Statistical Visualizations for Python
Altair: Interactive Statistical Visualizations for Python Open
Altair is a declarative statistical visualization library for Python.Statistical visualization is a constrained subset of data visualization focused on the creation of visualizations that are helpful in statistical modeling.The constrained…
View article: From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning Open
View article: From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning Open
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facilitate the discovery of new unknown events in most astrophys…
View article: approxposterior: Approximate Posterior Distributions in Python
approxposterior: Approximate Posterior Distributions in Python Open
This package is a Python implementation of "Bayesian Active Learning for Posterior Estimation" by (Kandasamy, Schneider, & Poczos, 2015) and "Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood function…
View article: The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package<sup>*</sup>
The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package<sup>*</sup> Open
The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package…
View article: mwaskom/seaborn: v0.9.0 (July 2018)
mwaskom/seaborn: v0.9.0 (July 2018) Open
v0.9.0 (July 2018) Note: a version of these release notes with working links appears in the online documentation. This is a major release with several substantial and long-desired new features. There are also updates/modifications to the t…
View article: scipy/scipy: SciPy 1.1.0
scipy/scipy: SciPy 1.1.0 Open
SciPy 1.1.0 is the culmination of 7 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which ar…
View article: Understanding the Lomb–Scargle Periodogram
Understanding the Lomb–Scargle Periodogram Open
The Lomb–Scargle periodogram is a well-known algorithm for detecting and characterizing periodic signals in unevenly sampled data. This paper presents a conceptual introduction to the Lomb–Scargle periodogram and important practical consid…