them, PyTables simply would not exist.
Share your experience
=
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
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V V Cárabos Coop. V. Enjoy Data
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A Tuesday 20 November 2007, Istvan Albert escrigué:
On Nov 19, 2:33 pm, Francesc Altet [EMAIL PROTECTED] wrote:
Just for the record. I was unable to stop thinking about this, and
after some investigation, I guess that my rememberings were
gathered from some benchmarks with code in Pyrex
A Wednesday 14 November 2007, Francesc Altet escrigué:
I think I've got messed on some benchmarks that I've done on that
subject some time ago, but either my memory is bad or I've made some
mistake on those experiments. My apologies.
Just for the record. I was unable to stop thinking about
A Tuesday 13 November 2007, Steven D'Aprano escrigué:
On Tue, 13 Nov 2007 17:27:11 +0100, Francesc Altet wrote:
I don't know exactly why do you need a dictionary for keeping the
data, but in case you want ultra-fast access to values, there is no
replacement for keeping a sorted list of keys
A Wednesday 14 November 2007, Istvan Albert escrigué:
On Nov 13, 11:27 am, Francesc Altet [EMAIL PROTECTED] wrote:
Another possibility is using an indexed column in a table in a DB.
Lookups there should be much faster than using a dictionary as
well.
I would agree with others who state
be much faster than using a dictionary as well.
HTH,
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V V Cárabos Coop. V. Enjoy Data
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Announcing PyTables and PyTables Pro 2.0.1
PyTables is a library for managing hierarchical datasets and designed to
efficiently cope with extremely large amounts of data with support for
full 64-bit file
===
Announcing PyTables Pro 2.0
===
PyTables Pro is a library for managing hierarchical datasets and
designed to efficiently cope with extremely large amounts of data with
support for full 64-bit file addressing. PyTables Pro runs on top of
the
!**
-- The PyTables Team
--
Francesc Altet| Be careful about using the following code --
Carabos Coop. V. | I've only proven that it works,
www.carabos.com | I haven't tested it. -- Donald Knuth
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Support the Python Software
your experience
=
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
**Enjoy data!**
-- The PyTables Team
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0,0 Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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your experience
=
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
**Enjoy data!**
-- The PyTables Team
--
0,0 Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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===
Announcing PyTables 1.4
===
PyTables is a library for managing hierarchical datasets and designed to
efficiently cope with extremely large amounts of data with support for
full 64-bit file addressing. It is based on the HDF5 library for doing
===
Announcing PyTables 1.3.3
===
I'm happy to announce a new minor release of PyTables. In this one, we
have focused on improving compatibility with latest beta versions of
NumPy (0.9.8, 1.0b2, 1.0b3 and higher), adding some improvements and the
===
Announcing PyTables 1.3.1
===
This is a new minor release of PyTables. On it, you will find support
for NumPy integers as indexes of datasets and many bug fixes.
*Important note*: one of the fixes adresses a bug in the flushing of I/O
buffers
=
Announcing PyTables 1.3
=
This is a new major release of PyTables. The most remarkable feature
added in this version is a complete support (well, almost, because
unicode arrays are not there yet) for NumPy objects. Improved support
for native
=
Announcing PyTables 1.3
=
This is a new major release of PyTables. The most remarkable feature
added in this version is a complete support (well, almost, because
unicode arrays are not there yet) for NumPy objects. Improved support
for native
family!
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0,0 Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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Support the Python Software Foundation:
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Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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Support the Python Software Foundation:
http://www.python.org/psf/donations.html
=
Announcing PyTables 1.2.1
=
I'm happy to announce a new version of PyTables. This is a maintenance
version and only bugs has been fixed in it. In particular, the
documentation has not change at all, so it is not necessary that you
look at it for
.
---
**Enjoy data!**
-- The PyTables Team
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0,0 Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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Support the Python Software Foundation:
http://www.python.org/psf/donations.html
=
Announcing PyTables 1.1
=
After quite a few testing iterations, the PyTables development team is
happy to announce the availability of PyTables 1.1.
On this version you will find support for a nice set of new features,
like nested datatypes,
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