other:python:jyp_steps
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other:python:jyp_steps [2016/02/19 15:17] jypeter Added more debugger mode instructions |
other:python:jyp_steps [2016/02/23 10:03] jypeter Added links to Numexpr and PyTables |
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| Hint: before optimizing your script, you should spent some time //profiling// it, in order to only spend time improving the slow parts of your script | Hint: before optimizing your script, you should spent some time //profiling// it, in order to only spend time improving the slow parts of your script | ||
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| + | ==== Useful packages ==== | ||
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| + | * [[https://github.com/pydata/numexpr|Numexpr]]: //Numexpr is a **fast numerical expression evaluator for NumPy**. With it, expressions that operate on arrays (like "3*a+4*b") are accelerated and use less memory than doing the same calculation in Python.// | ||
| + | * [[http://www.pytables.org/|PyTables]]: //PyTables is a package for managing hierarchical datasets and designed to efficiently and **easily cope with extremely large amounts of data**// | ||
| ==== Tutorials by Ian Osvald ==== | ==== Tutorials by Ian Osvald ==== | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
