From yoval at gmx.com  Sun Feb  2 16:20:26 2014
From: yoval at gmx.com (yoval p.)
Date: Sun, 02 Feb 2014 17:20:26 +0200
Subject: [Pandas-dev] Heads-up: Releasing 0.13.1
In-Reply-To: <52E50A28.1030508@gmx.com>
References: <52E50A28.1030508@gmx.com>
Message-ID: <52EE623A.3050008@gmx.com>

Hi,

I plan to tag 0.13.1 tomorrow unless someone raises
some issue that'll push it back,


Thanks,
Y

From yoval at gmx.com  Mon Feb  3 06:39:40 2014
From: yoval at gmx.com (yoval p.)
Date: Mon, 03 Feb 2014 07:39:40 +0200
Subject: [Pandas-dev] 0.13.1 tagged
Message-ID: <52EF2B9C.5050408@gmx.com>


Minor release but lots of good work. Thanks everyone.

Y

From jeffreback at gmail.com  Sun Feb  9 14:26:23 2014
From: jeffreback at gmail.com (Jeff Reback)
Date: Sun, 9 Feb 2014 08:26:23 -0500
Subject: [Pandas-dev] Fwd: ANN: pandas 0.13.1 released (sample - look ok?)
In-Reply-To: <3BDC65FC-644F-4E7F-AFA6-486590F6A7D0@gmail.com>
References: <CAHMnJKiPncSKVYxDC3Pp8zw2ByyFQtCMRArhz0VL+Y3010MTsw@mail.gmail.com>
 <3BDC65FC-644F-4E7F-AFA6-486590F6A7D0@gmail.com>
Message-ID: <CAHMnJKiavH=WV_tFipR+s3tb1-tbEBTUsfYSNNpZeO6xsr1B=w@mail.gmail.com>

wesm, going to send this out shortly, but would like to have PyPi updated.
How to do this?

*From:* Jeff Reback <jeffreback at gmail.com>
*Date:* February 7, 2014 at 1:22:01 PM EST
*To:* Jeff Reback <jeffreback at gmail.com>
*Subject:* *Fwd: ANN: pandas 0.13.1 released (sample - look ok?)*
*Reply-To:* jeff at reback.net

Hello,

This is a minor release from 0.13.0 and includes a small number of API
changes, several new features, enhancements, and performance improvements along
with a large number of bug fixes.

We recommend that all users upgrade to this version.

Highlights include:

   - Added infer_datetime_format keyword to read_csv/to_datetime to allow
   speedups for homogeneously formatted datetimes.
   - Will intelligently limit display precision for datetime/timedelta
   formats.
   - Enhanced Panel
apply()<http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Panel.apply.html#pandas.Panel.apply>
    method.
   - Suggested tutorials in new
*Tutorials*<http://pandas.pydata.org/pandas-docs/stable/tutorials.html#tutorials>
    section.
   - Our pandas ecosystem is growing, We now feature related projects in a
   new *Pandas Ecosystem
   <http://pandas.pydata.org/pandas-docs/stable/ecosystem.html#ecosystem> *
   section.
   - Much work has been taking place on improving the docs, and a new
   *Contributing*<http://pandas.pydata.org/pandas-docs/stable/contributing.html#contributing>
section
   has been added.
   - Even though it may only be of interest to devs, we <3 our new CI
   status page: ScatterCI <http://scatterci.github.io/pydata/pandas>.

v0.13.1 Whatsnew Page
http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-13-1-february-3-2014

v0.13.1 Documentation Page
http://pandas.pydata.org/pandas-docs/stable/

Pleas visit here for the source tarball:
https://github.com/pydata/pandas/releases/tag/v0.13.1

Windows binaries are available from Christoph Gohlke's
collection:<http://www.lfd.uci.edu/~gohlke/pythonlibs/>
http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas

PyPi will be updated shortly:
https://pypi.python.org/pypi/pandas

We are looking forward to a next planned release of v0.14.0 in about three
months time.

Some things that we would like to include:

   - A big upgrade to SQL to/from interop with support for all major
   DBs, leveraging SQLAlchemy.
   - Template-based displays for dataframes, with conditional formatting
   and roll-your-own output generation.
   - Reduced memory dataframe construction from known-length iterators.
   - Your PRs.


Thanks

The Pandas Team


Contributors to the 0.13.1 release

$ git log v0.12.1..v0.13.1 --pretty='%aN##%s' | grep -v 'Merge pull' | grep
-Po '^[^#]+' | sort | uniq -c | sort -rn

   146 y-p
     97 jreback
     14 Joris Van den Bossche
      8 Phillip Cloud
      8 Andy Hayden
      6 unutbu
      4 Skipper Seabold
      3 TomAugspurger
      3 Jeff Tratner
      3 DSM
      3 Douglas McNeil
      3 Dan Birken
      3 Chapman Siu
      2 Tom Augspurger
      2 Naveen Michaud-Agrawal
      2 Michael Schatzow
      2 Kieran O'Mahony
      2 Jacob Schaer
      2 Doran Deluz
      2 danielballan
      2 Clark Fitzgerald
      2 chapman siu
      2 Caleb Epstein
      2 Brad Buran
      2 Andrew Burrows
      2 Alex Rothberg
      1 Spencer Lyon
      1 Roman Pekar
      1 Patrick O'Keeffe
      1 mwaskom
      1 lexual
      1 Julia Evans
      1 John McNamara
      1 Jan Wagner
      1 immerrr
      1 Guillaume Gay
      1 George Kuan
      1 Felix Lawrence
      1 Elliot S
      1 Draen Luanin
      1 Douglas Rudd
      1 David Wolever
      1 davidshinn
      1 david
      1 Daniel Waeber
      1 Chase Albert
      1 bwignall
      1 bmu
      1 Bjorn Arneson
      1 Alok Singhal
      1 akittredge
      1 acorbe


---------- Forwarded message ----------
From: Jeff Reback <jeffreback at gmail.com>
Date: Fri, Feb 7, 2014 at 1:15 PM
Subject: ANN: pandas 0.13.1 released (sample - look ok?)
To: Jeff Reback <jeffreback at gmail.com>, "yoval p." <yoval at gmx.com>


Hello,

This is a minor release from 0.13.0 and includes a small number of API
changes, several new features, enhancements, and performance improvements along
with a large number of bug fixes.

We recommend that all users upgrade to this version.

Highlights include:

   - Added infer_datetime_format keyword to read_csv/to_datetime to allow
   speedups for homogeneously formatted datetimes.
   - Will intelligently limit display precision for datetime/timedelta
   formats.
   - Enhanced Panel
apply()<http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Panel.apply.html#pandas.Panel.apply>
    method.
   - Suggested tutorials in new
*Tutorials*<http://pandas.pydata.org/pandas-docs/stable/tutorials.html#tutorials>
    section.
   - Our pandas ecosystem is growing, We now feature related projects in a
   new *Pandas Ecosystem
   <http://pandas.pydata.org/pandas-docs/stable/ecosystem.html#ecosystem> *
   section.
   - Much work has been taking place on improving the docs, and a new
   *Contributing*<http://pandas.pydata.org/pandas-docs/stable/contributing.html#contributing>
section
   has been added.
   - Even though it may only be of interest to devs, we <3 our new CI
   status page: ScatterCI <http://scatterci.github.io/pydata/pandas>.

v0.13.1 documentation Page
http://pandas.pydata.org/pandas-docs/stable/

Pleas visit here for the source tarball:
https://github.com/pydata/pandas/releases/tag/v0.13.1

Windows binaries are available from Christoph Gohlke's
collection:<http://www.lfd.uci.edu/~gohlke/pythonlibs/>
http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas

PyPi will be updated shortly:
https://pypi.python.org/pypi/pandas

We are looking forward to a next planned release of v0.14.0 in about three
months time.

Some things that we would like to include:


   - A big upgrade to SQL to/from interop with support for all major
   DBs, leveraging SQLAlchemy.
   - Template-based displays for dataframes, with conditional formatting
   and roll-your-own output generation.
   - Reduced memory dataframe construction from known-length iterators.
   - Your PRs.


Thanks

The Pandas Team

p.s.

$ git log v0.12.1..v0.13.1 --pretty='%aN##%s' | grep -v 'Merge pull' | grep
-Po '^[^#]+' | sort | uniq -c | sort -rn

   146 y-p
     97 jreback
     14 Joris Van den Bossche
      8 Phillip Cloud
      8 Andy Hayden
      6 unutbu
      4 Skipper Seabold
      3 TomAugspurger
      3 Jeff Tratner
      3 DSM
      3 Douglas McNeil
      3 Dan Birken
      3 Chapman Siu
      2 Tom Augspurger
      2 Naveen Michaud-Agrawal
      2 Michael Schatzow
      2 Kieran O'Mahony
      2 Jacob Schaer
      2 Doran Deluz
      2 danielballan
      2 Clark Fitzgerald
      2 chapman siu
      2 Caleb Epstein
      2 Brad Buran
      2 Andrew Burrows
      2 Alex Rothberg
      1 Spencer Lyon
      1 Roman Pekar
      1 Patrick O'Keeffe
      1 mwaskom
      1 lexual
      1 Julia Evans
      1 John McNamara
      1 Jan Wagner
      1 immerrr
      1 Guillaume Gay
      1 George Kuan
      1 Felix Lawrence
      1 Elliot S
      1 Draen Luanin
      1 Douglas Rudd
      1 David Wolever
      1 davidshinn
      1 david
      1 Daniel Waeber
      1 Chase Albert
      1 bwignall
      1 bmu
      1 Bjorn Arneson
      1 Alok Singhal
      1 akittredge
      1 acorbe
-------------- next part --------------
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From wes at datapad.io  Sun Feb  9 19:30:54 2014
From: wes at datapad.io (Wes McKinney)
Date: Sun, 9 Feb 2014 10:30:54 -0800
Subject: [Pandas-dev] Fwd: ANN: pandas 0.13.1 released (sample - look
	ok?)
In-Reply-To: <CAHMnJKiavH=WV_tFipR+s3tb1-tbEBTUsfYSNNpZeO6xsr1B=w@mail.gmail.com>
References: <CAHMnJKiPncSKVYxDC3Pp8zw2ByyFQtCMRArhz0VL+Y3010MTsw@mail.gmail.com>
 <3BDC65FC-644F-4E7F-AFA6-486590F6A7D0@gmail.com>
 <CAHMnJKiavH=WV_tFipR+s3tb1-tbEBTUsfYSNNpZeO6xsr1B=w@mail.gmail.com>
Message-ID: <CAJPUwMA9MRwZU0coh6BNYWa_JEgT7HMGnnXO1qwBN6y=Xptd-w@mail.gmail.com>

hey Jeff,

bombs away. You will need to run

python setup.py sdist --formats=zip,targz upload

to post the source archives

can you and y-p let me know your PyPI user names so I can add you as
maintainers on python.org?

- Wes

On Sun, Feb 9, 2014 at 5:26 AM, Jeff Reback <jeffreback at gmail.com> wrote:
> wesm, going to send this out shortly, but would like to have PyPi updated.
> How to do this?
>
>
> From: Jeff Reback <jeffreback at gmail.com>
> Date: February 7, 2014 at 1:22:01 PM EST
> To: Jeff Reback <jeffreback at gmail.com>
> Subject: Fwd: ANN: pandas 0.13.1 released (sample - look ok?)
> Reply-To: jeff at reback.net
>
> Hello,
>
> This is a minor release from 0.13.0 and includes a small number of API
> changes, several new features, enhancements, and performance improvements
> along with a large number of bug fixes.
>
> We recommend that all users upgrade to this version.
>
> Highlights include:
>
> Added infer_datetime_format keyword to read_csv/to_datetime to allow
> speedups for homogeneously formatted datetimes.
> Will intelligently limit display precision for datetime/timedelta formats.
> Enhanced Panel apply() method.
> Suggested tutorials in new Tutorials section.
> Our pandas ecosystem is growing, We now feature related projects in a new
> Pandas Ecosystem section.
> Much work has been taking place on improving the docs, and a new
> Contributing section has been added.
> Even though it may only be of interest to devs, we <3 our new CI status
> page: ScatterCI.
>
> v0.13.1 Whatsnew Page
> http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#v0-13-1-february-3-2014
>
> v0.13.1 Documentation Page
> http://pandas.pydata.org/pandas-docs/stable/
>
> Pleas visit here for the source tarball:
> https://github.com/pydata/pandas/releases/tag/v0.13.1
>
> Windows binaries are available from Christoph Gohlke's collection:
> http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas
>
> PyPi will be updated shortly:
> https://pypi.python.org/pypi/pandas
>
> We are looking forward to a next planned release of v0.14.0 in about three
> months time.
>
> Some things that we would like to include:
>
> A big upgrade to SQL to/from interop with support for all major DBs,
> leveraging SQLAlchemy.
> Template-based displays for dataframes, with conditional formatting and
> roll-your-own output generation.
> Reduced memory dataframe construction from known-length iterators.
> Your PRs.
>
>
> Thanks
>
> The Pandas Team
>
>
> Contributors to the 0.13.1 release
>
> $ git log v0.12.1..v0.13.1 --pretty='%aN##%s' | grep -v 'Merge pull' | grep
> -Po '^[^#]+' | sort | uniq -c | sort -rn
>
>    146 y-p
>      97 jreback
>      14 Joris Van den Bossche
>       8 Phillip Cloud
>       8 Andy Hayden
>       6 unutbu
>       4 Skipper Seabold
>       3 TomAugspurger
>       3 Jeff Tratner
>       3 DSM
>       3 Douglas McNeil
>       3 Dan Birken
>       3 Chapman Siu
>       2 Tom Augspurger
>       2 Naveen Michaud-Agrawal
>       2 Michael Schatzow
>       2 Kieran O'Mahony
>       2 Jacob Schaer
>       2 Doran Deluz
>       2 danielballan
>       2 Clark Fitzgerald
>       2 chapman siu
>       2 Caleb Epstein
>       2 Brad Buran
>       2 Andrew Burrows
>       2 Alex Rothberg
>       1 Spencer Lyon
>       1 Roman Pekar
>       1 Patrick O'Keeffe
>       1 mwaskom
>       1 lexual
>       1 Julia Evans
>       1 John McNamara
>       1 Jan Wagner
>       1 immerrr
>       1 Guillaume Gay
>       1 George Kuan
>       1 Felix Lawrence
>       1 Elliot S
>       1 Draen Luanin
>       1 Douglas Rudd
>       1 David Wolever
>       1 davidshinn
>       1 david
>       1 Daniel Waeber
>       1 Chase Albert
>       1 bwignall
>       1 bmu
>       1 Bjorn Arneson
>       1 Alok Singhal
>       1 akittredge
>       1 acorbe
>
>
> ---------- Forwarded message ----------
> From: Jeff Reback <jeffreback at gmail.com>
> Date: Fri, Feb 7, 2014 at 1:15 PM
> Subject: ANN: pandas 0.13.1 released (sample - look ok?)
> To: Jeff Reback <jeffreback at gmail.com>, "yoval p." <yoval at gmx.com>
>
>
> Hello,
>
> This is a minor release from 0.13.0 and includes a small number of API
> changes, several new features, enhancements, and performance improvements
> along with a large number of bug fixes.
>
> We recommend that all users upgrade to this version.
>
> Highlights include:
>
> Added infer_datetime_format keyword to read_csv/to_datetime to allow
> speedups for homogeneously formatted datetimes.
> Will intelligently limit display precision for datetime/timedelta formats.
> Enhanced Panel apply() method.
> Suggested tutorials in new Tutorials section.
> Our pandas ecosystem is growing, We now feature related projects in a new
> Pandas Ecosystem section.
> Much work has been taking place on improving the docs, and a new
> Contributing section has been added.
> Even though it may only be of interest to devs, we <3 our new CI status
> page: ScatterCI.
>
> v0.13.1 documentation Page
> http://pandas.pydata.org/pandas-docs/stable/
>
> Pleas visit here for the source tarball:
> https://github.com/pydata/pandas/releases/tag/v0.13.1
>
> Windows binaries are available from Christoph Gohlke's collection:
> http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas
>
> PyPi will be updated shortly:
> https://pypi.python.org/pypi/pandas
>
> We are looking forward to a next planned release of v0.14.0 in about three
> months time.
>
> Some things that we would like to include:
>
> A big upgrade to SQL to/from interop with support for all major DBs,
> leveraging SQLAlchemy.
> Template-based displays for dataframes, with conditional formatting and
> roll-your-own output generation.
> Reduced memory dataframe construction from known-length iterators.
> Your PRs.
>
>
> Thanks
>
> The Pandas Team
>
> p.s.
>
> $ git log v0.12.1..v0.13.1 --pretty='%aN##%s' | grep -v 'Merge pull' | grep
> -Po '^[^#]+' | sort | uniq -c | sort -rn
>
>    146 y-p
>      97 jreback
>      14 Joris Van den Bossche
>       8 Phillip Cloud
>       8 Andy Hayden
>       6 unutbu
>       4 Skipper Seabold
>       3 TomAugspurger
>       3 Jeff Tratner
>       3 DSM
>       3 Douglas McNeil
>       3 Dan Birken
>       3 Chapman Siu
>       2 Tom Augspurger
>       2 Naveen Michaud-Agrawal
>       2 Michael Schatzow
>       2 Kieran O'Mahony
>       2 Jacob Schaer
>       2 Doran Deluz
>       2 danielballan
>       2 Clark Fitzgerald
>       2 chapman siu
>       2 Caleb Epstein
>       2 Brad Buran
>       2 Andrew Burrows
>       2 Alex Rothberg
>       1 Spencer Lyon
>       1 Roman Pekar
>       1 Patrick O'Keeffe
>       1 mwaskom
>       1 lexual
>       1 Julia Evans
>       1 John McNamara
>       1 Jan Wagner
>       1 immerrr
>       1 Guillaume Gay
>       1 George Kuan
>       1 Felix Lawrence
>       1 Elliot S
>       1 Draen Luanin
>       1 Douglas Rudd
>       1 David Wolever
>       1 davidshinn
>       1 david
>       1 Daniel Waeber
>       1 Chase Albert
>       1 bwignall
>       1 bmu
>       1 Bjorn Arneson
>       1 Alok Singhal
>       1 akittredge
>       1 acorbe
>
>
>
>
>
>
> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>