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According to this recent blog post by [Stack Overflow](https://stackoverflow.com/), Python is declared as the fastest-growing major programming language.
Copy file name to clipboardExpand all lines: _posts/2017-11-01-www.python.org-Part1.md
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- bloomberg
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We worked on python.org website.
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This sprint part of a series (until the features are complete). That's probably 2 or 3 sprints in total. Every event is independent, and you don't need to attend the first part to attend the second (or the other way round).
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• Waiting list: Even if you are added to the waiting list, keep an eye the day of the event. There are many people dropping just hours before the event.
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The sprint
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To communicate during the sprint (also remotely), you can use this gitter [channel](https://gitter.im/py-sprints/python.org)
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Around 7pm, it'll be a short hangouts, [you can join in this link](https://plus.google.com/hangouts/_/calendar/bnFjZWkxM2NvZDBhZ3FiNWk2Z2s5Y2kxOWdAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ.49ls39sk27behs8rvnrqtdgs02?authuser=0)
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The Python community and the Python Software Foundation are using [http://www.python.org](http://www.python.org) as their main website. Besides general information about Python, the Python installation files, the documentation, the job board and links to other resources, the website includes a section to list all the events of the community, [https://www.python.org/events/](https://www.python.org/events/).
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The process to update the content of this section is not optimal, and it is taking too much time from the community (event organizers and python.org moderators mainly).
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A new workflow has been proposed to automate some parts and make the process much more efficient. Details can be checked in this ticket:
Copy file name to clipboardExpand all lines: _posts/2017-12-06-python-dateutil.md
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title: python-dateutil
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title: python-dateutil issues
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project: date-util
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project_description: Powerful extensions to datetime
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date: 2017-12-06
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We worked on documentation for python-dateutil.
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This time we will be working in [python-dateutil](https://github.com/dateutil/dateutil), one of the most downloaded libraries from PyPI and the de-facto extension for date and times manipulation in Python.
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We will have the maintainer of python-dateutil - [Paul Ganssle](https://github.com/pganssle)- helping and reviewing code during the sprint. He will guide us through the [issue tracker](https://github.com/dateutil/dateutil/issues) and organise the work to be carried out along the day.
Pandas is an open source Python library for data manipulation and analysis. Its popularity is skyrocketing, and it is becoming the de-facto standard for data science and data engineering. But the number of core developers and contributors did not grow as fast as its popularity, and things like the API documentation would benefit from some help.
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This is why we are organizing a worldwide sprint, in which we plan to leave the API documentation for the Series and DataFrame classes in a perfect state.
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The sprint will be divided in different chapters. Every chapter has a different website, usually a meetup.com group, where the sprint is coordinated. Find your chapter, and check there the venue, meeting time, etc.
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Before the sprint, please make sure:
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- Bring your own laptop
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- Set up your environment before the sprint
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- Make sure you RSVP for your chapter, number of attendees can be limited
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- Join the [Gitter channel](https://gitter.im/py-sprints/pandas-doc) of the sprint
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