python Programming Glossary: pytables

http://stackoverflow.com/questions/10578434/big-satellite-image-processing

I get a memory error. Would the use of something like pyTables help me with this What Mort Canty's code tries to do is that..

Comparing persistent storage solutions in python

http://stackoverflow.com/questions/1235594/comparing-persistent-storage-solutions-in-python

options that I've started looking at see this post pyTables ZopeDB shove shelve redis durus Any suggestions on which of..

exporting from/importing to numpy, scipy in SQLite and HDF5 formats

http://stackoverflow.com/questions/7883646/exporting-from-importing-to-numpy-scipy-in-sqlite-and-hdf5-formats

Python to interface with SQLite sqlite3 atpy and HDF5 h5py pyTables I wonder if anyone has experience using these together with.. SQLite libraries for python... At least as far as h5py vs pyTables they both offer very seamless access via numpy arrays but they're.. data that's more table like and you want to query it then pyTables is a much better option. h5py is a relatively vanilla wrapper..

NumPy vs. multiprocessing and mmap

http://stackoverflow.com/questions/9964809/numpy-vs-multiprocessing-and-mmap

if your data is multidimensional. I'd reccomend h5py but pyTables is nice if your data is table like . Good luck at any rate ..

“Large data” work flows using pandas

http://stackoverflow.com/questions/14262433/large-data-work-flows-using-pandas

of performing these steps. Reading links about pandas and pytables it seems that appending a new column could be a problem. Edit.. files chunk by chunk and multiple table queries . Since pytables is optimized to operate on row wise which is what you query..

merging two tables with millions of rows in python

http://stackoverflow.com/questions/14614512/merging-two-tables-with-millions-of-rows-in-python

rows. This last options works but it is slow. Table B on pytables has been indexed already by default. I wonder if you could suggest.. this problem. Thanks in advance python join merge pandas pytables share improve this question this is a little pseudo codish.. search I am not sure but you might want to investiage on pytables.org more in the in kernel optmization section there is a way..

Python “join” function like unix “join”

http://stackoverflow.com/questions/4247792/python-join-function-like-unix-join

module and probably through some other modules like pytables. Sorry if this is a basic question but I'm finding that searching..

Issue for insert using psycopg

http://stackoverflow.com/questions/7681622/issue-for-insert-using-psycopg

for this. Thanks python postgresql matlab psycopg2 pytables share improve this question The INSERT statement has invalid..

Python Numpy Very Large Matrices

http://stackoverflow.com/questions/1053928/python-numpy-very-large-matrices

RAM python matrix numpy share improve this question PyTables and numpy are the way to go. PyTables will store the data on.. this question PyTables and numpy are the way to go. PyTables will store the data on disk in HDF format with optional compression...

Persist Tf-Idf data

http://stackoverflow.com/questions/11102429/persist-tf-idf-data

recommend to use the HDF5 file format for instance used in PyTables or other database systems that have some kind of support for..

What is the best open source solution for storing time series data? [closed]

http://stackoverflow.com/questions/1334813/what-is-the-best-open-source-solution-for-storing-time-series-data

time series schemaless share improve this question PyTables is designed for dealing with very large data sets and it built.. library which is designed for this purpose. For example PyTables has automatic compression and supports Numpy. share improve..

merging two tables with millions of rows in python

http://stackoverflow.com/questions/14614512/merging-two-tables-with-millions-of-rows-in-python

. I finally tried with the combination of Pandas and PyTables by writing table B to disk and then iterating over table A and..

HDF5 and SQLite. Concurrency, compression & I/O performance [closed]

http://stackoverflow.com/questions/16628329/hdf5-and-sqlite-concurrency-compression-i-o-performance

http www.pytables.org moin here's a nice picture and since PyTables 2.3 the queries are now indexed so perf actually is MUCH better..