wesm, going to send this out shortly, but would like to have PyPi updated.
How to do this?
*From:* Jeff Reback <jeffreback(a)gmail.com>
*Date:* February 7, 2014 at 1:22:01 PM EST
*To:* Jeff Reback <jeffreback(a)gmail.com>
*Subject:* *Fwd: ANN: pandas 0.13.1 released (sample - look ok?)*
*Reply-To:* jeff(a)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.ht…>
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-febru…
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(a)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(a)gmail.com>, "yoval p." <yoval(a)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.ht…>
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
Hi all,
It's been 2 weeks since the ANN and we've gotten the usual
bug reports, perf regressions and un-intrusive enhancements
largely taken care of.
We've done what we can to make sure a reasonably stable release
is available, and now we can start working on the longer 3 month release
cycle towards 0.14, and begin merging PRs like it's
nobody's business.
If you have concerns or comments about tagging 0.13.1 shortly,
now's the time to speak up, here or preferbly in the heads-up issue
at https://github.com/pydata/pandas/issues/6103.
If no blocker is raised, we'll be tagging 0.13.1 within
a few days.
Y
