python
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python [2013/04/23 13:44] mantis [Cookbooks] |
python [2018/08/09 10:12] mantis [Spyder] |
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| + | ====== Cookbooks ====== | ||
| + | * [[Python Cookbook]] | ||
| + | * [[PylabRecipes]] | ||
| + | * [[Pandas]] | ||
| + | ====== IDEs ====== | ||
| + | |||
| + | |||
| + | |||
| + | [[https://orf.at/stories/2450240/2450242/|PyCharm]] is our current favourite. | ||
| + | |||
| + | [[http://code.google.com/p/spyderlib/|Spyder]] is a nice platform-agnostic editor. | ||
| + | |||
| + | |||
| + | ====== Shells ====== | ||
| + | |||
| + | ===== IPython ===== | ||
| + | |||
| + | Nice interactive python shell. | ||
| + | |||
| + | Benchmarking runtime can be done just like in bash, by prefixing a command with%time | ||
| + | <code python> | ||
| + | %time (numpy.array(b)==8).sum() | ||
| + | </code> | ||
| + | |||
| + | ====== Profiling ====== | ||
| + | |||
| + | A very simple and fast way to profile a single-threaded execution is: | ||
| + | |||
| + | <code bash> | ||
| + | # sort profiling result by time | ||
| + | python -m cProfile -s time my_script.py > profiling | ||
| + | </code> | ||
| + | |||
| + | |||
| + | For further info see e.g. [[http://stackoverflow.com/questions/582336/how-can-you-profile-a-python-script|this Stackoverflow thread]] | ||
python.txt ยท Last modified: 2018/08/09 10:12 by mantis
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