pandas 1.0
Source: pandas blog | Author: Pandas Development Team | Published: Jan 29, 2020
Today pandas celebrates its 1.0.0 release. In many ways this is just a normal release with a host of new features, performance improvements, and bug fixes, which are documented in our release notes. But it’s also something a bit more — a milestone for the project beyond just …
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Towards consistent missing value handling in Pandas
Source: Joris Van den Bossche - pandas | Author: Joris Van den Bossche | Published: Nov 30, 2019
This blogpost gives some background and motivation for my proposal on better missing value support in pandas, and the changes that have been merged in the development version (to be released in pandas 1.0): a new pd.NA scalar is introduced that can be used consistently across all data types..
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An update on the pandas documentation
Source: datapythonista blog - pandas | Author: Marc Garcia | Published: Nov 28, 2019
Some context This post is mainly a technical post on what's the status of the pandas documentation. But let me provide a bit of context on where this comes from. It's a personal opinion, but I think pandas is one of the clearest examples of how open source is transforming …
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New pandas workflow
Source: datapythonista blog - pandas | Author: Marc Garcia | Published: Nov 17, 2019
Some exciting news. After some years of organizing sprints, and maintaining open source, I've been thinking on a more efficient workflow for projects with high volume of activity, like pandas. An exaggerated example would be that I want to create 1,600 issues in pandas. One for each docstring of …
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2019 NumFOCUS Awards and New Contributor Recognition
Source: pandas | NumFOCUS | Author: Admin | Published: Nov 15, 2019
The post 2019 NumFOCUS Awards and New Contributor Recognition appeared first on NumFOCUS.
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Chan Zuckerberg Initiative Funds Maintenance of NumFOCUS Projects
Source: pandas | NumFOCUS | Author: Admin | Published: Nov 14, 2019
The post Chan Zuckerberg Initiative Funds Maintenance of NumFOCUS Projects appeared first on NumFOCUS.
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Highlights From The 2019 Pandas Hack
Source: pandas | NumFOCUS | Author: nf-admin | Published: Sep 13, 2019
The post Highlights From The 2019 Pandas Hack appeared first on NumFOCUS.
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Dataframe summit @ EuroSciPy write up
Source: datapythonista blog - pandas | Author: Marc Garcia | Published: Sep 11, 2019
Last week took place in Bilbao, Spain, EuroSciPy 2019. This year we introduced the maintainers track a room dedicated to discussions among maintainers. The idea is similar to the birds of a feather or unconference sessions of other conferences. But focussed on open source maintainers and contributors. And we scheduled …
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