[PDF.64hu] Python and HDF5: Unlocking Scientific Data
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Python and HDF5: Unlocking Scientific Data
Andrew Collette
[PDF.ub53] Python and HDF5: Unlocking Scientific Data
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| #762051 in Books | O Reilly Media | 2013-11-11 | 2013-11-11 | Original language:English | PDF # 1 | 9.19 x.30 x7.00l,.57 | File type: PDF | 152 pages | O Reilly Media||0 of 0 people found the following review helpful.| I occasionally use Python (I am a crusty old F90 type of DOE lab physicist who generally accesses HDF5 from Fortran directly for data analysis and simulation code I/O) and this book made it very easy to write simple scripts to write/read/analyze data in HDF5|By Fortran guy|For anyone using Python and HDF5, this book should be viewed as an essential. I occasionally use Python (I|About the Author|
|Andrew Collette holds a Ph.D. in physics from UCLA, and works as a laboratory research scientist at the University of Colorado. He has worked with the Python-NumPy-HDF5 stack at two multimillion-dollar research facilities; the first being
Gain hands-on experience with HDF5 for storing scientific data in Python. This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.
Through real-world examples and practical exercises, you’ll explore topics such as scientific datasets, hierarchically organized groups, user-defined metadata, and interoperable files. Ex...
You easily download any file type for your gadget.Python and HDF5: Unlocking Scientific Data | Andrew Collette. A good, fresh read, highly recommended.
