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Python Perf: moving all the resources into its own file
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| # Python Performance | ||
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| - [Python High Performance - Second Edition](https://github.com/PacktPublishing/Python-High-Performance-Second-Edition) | ||
| - [Python and performance](https://github.com/ameroueh/performance) | ||
| - [NumPy aware dynamic Python compiler using LLVM ](https://github.com/ameroueh/numba) | [Numba](http://numba.pydata.org/) | ||
| - [Profiling in Python](https://github.com/mkunesch/profiling-talk) - by [Markus Kunesch](https://github.com/mkunesch) | ||
| - Profiling: [Profiling with Pycharm 1](https://stackoverflow.com/questions/32926847/profiling-a-python-program-with-pycharm-or-any-other-ide#32926882) | [Profiling with Pycharm 2](https://softwaretester.info/python-profiling-with-pycharm-community-edition/) | [PyCharm and cProfile](https://intellij-support.jetbrains.com/hc/en-us/community/posts/115000057970-Is-there-a-way-to-force-PyCharm-to-use-cProfile-) | [Call tree with Python Profilers](https://stackoverflow.com/questions/4544784/how-can-you-get-the-call-tree-with-python-profilers) | ||
| - Speed up Python/Pandas | ||
| - [How to optimise your Pandas code](https://kanoki.org/2019/01/09/how-to-optimize-your-pandas-code/) | ||
| - [Python Itertools: For a faster and memory efficient code](https://kanoki.org/2019/02/08/python-itertools/) | ||
| - [Python/Pandas performance](https://www.youtube.com/results?search_query=%2Bpython+%2Bpandas+%2Bperformance) ([notebook](https://github.com/softhints/python/blob/master/notebooks/pandas/How_to_Optimize_and_Speed_Up_Pandas.ipynb)) | ||
| - [High-Performance Pandas: eval() and query()](https://jakevdp.github.io/PythonDataScienceHandbook/03.12-performance-eval-and-query.html) | ||
| - [Fast, Flexible, Easy and Intuitive: How to Speed Up Your Pandas Projects](https://realpython.com/fast-flexible-pandas) | ||
| - [Using Cython Nuitka Numba ShedSkin Pythran Transonic](https://twitter.com/ianozsvald/status/1226436048428900353) | ||
| - [using Dask / Vaex / Modin to speed up Pandas-like operations](https://twitter.com/ianozsvald/status/1225748724363780096) | ||
| - Misc | ||
| - [lambda functions or nested functions ('def')?](https://stackoverflow.com/questions/134626/which-is-more-preferable-to-use-lambda-functions-or-nested-functions-def) | ||
| - Pandas GroupBy speedup | ||
| - [Improving the performance of Pandas Group](https://stackoverflow.com/questions/47392758/improving-the-performance-of-pandas-groupby) | ||
| - [Pandas groupby](https://realpython.com/pandas-groupby/) | ||
| - [Faster pandas with parallel processing](https://towardsdatascience.com/faster-pandas-with-parallel-processing-cudf-vs-modin-f2318c594084) | ||
| - [Optimize Custom Grouping Function](https://medium.com/dunder-data/pandas-challenge-001-optimize-custom-grouping-function-44a9f2f321f8) | ||
| - [Speed up pandas 4x](https://www.kdnuggets.com/2019/11/speed-up-pandas-4x.html) | ||
| - Vectorizations | ||
| - [Python & Vectorization](https://towardsdatascience.com/python-vectorization-5b882eeef658?fbclid=IwAR0sS8uNZlf_iiXw3_qwvUXxh-0UlrJ_nNIFlPJ0hBSHFvGtW2y2fFETqsQ) | ||
| - [SO: what-is-vectorization?](https://stackoverflow.com/questions/1422149/what-is-vectorization) | ||
| - [numpy.vectorize()](https://numpy.org/doc/stable/reference/generated/numpy.vectorize.html) | ||
| - [Array Programming With NumPy: What is Vectorization?](https://realpython.com/numpy-array-programming/#what-is-vectorization) | ||
| - [numba.vectorize()](https://numba.pydata.org/numba-doc/dev/user/vectorize.html) | ||
| - [Fast, Flexible, Easy and Intuitive: How to Speed Up Your Pandas Projects](https://realpython.com/fast-flexible-pandas/) (**See Vectorization section**) | ||
| - [numba](http://numba.pydata.org/) | ||
| - [Using numba](https://tedboy.github.io/pandas/enhancingperf/enhancingperf2.html) | ||
| - [Performance Tips](http://numba.pydata.org/numba-doc/latest/user/performance-tips.html) | ||
| - [njit explained](https://github.com/numba/numba/issues/3523) | ||
| - [Compiling Python code with @jit](https://numba.pydata.org/numba-doc/latest/user/jit.html) | ||
| - [Automatic parallelization with @jit](https://numba.pydata.org/numba-doc/latest/user/parallel.html#numba-parallel) | ||
| - [numba.vectorize()](https://numba.pydata.org/numba-doc/dev/user/vectorize.html) | ||
| - High Performance Python talk by [Ian Oszvald](https://twitter.com/ianozsvald/): Blogs: [1](https://ianozsvald.com/2019/11/16/higher-performance-python-at-pydatacambridge-2019/) o [2](https://ianozsvald.com/2019/11/22/higher-performance-python-odsc-2019/) | [Slides](https://speakerdeck.com/ianozsvald/higher-performance-python-odsc-2019) | [Useful resources shared](https://twitter.com/DataChaz/status/1197608275606413312) | ||
| - [Making Pandas Fly (EuroPython 2020)](https://speakerdeck.com/ianozsvald/making-pandas-fly-europython-2020) | [Blog](https://ianozsvald.com/2020/07/24/making-pandas-fly-at-europython-2020/) | ||
| - [Making Pandas Fly (PyDataAmsterdam 2020)](https://speakerdeck.com/ianozsvald/making-pandas-fly-pydataamsterdam-2020) | [Blog](https://ianozsvald.com/2020/06/23/making-pandas-fly-for-pydataamsterdam-2020/) | ||
| - [Making Pandas Fly (PyDataUK 2020)](https://speakerdeck.com/ianozsvald/pydatauk-making-pandas-fly) | [Blog](https://ianozsvald.com/2020/04/27/flying-pandas-and-making-pandas-fly-virtual-talks-this-weekend-on-faster-data-processing-with-pandas-modin-dask-and-vaex/) | ||
| - [Making Pandas Fly (PyDataBudapest 2020)](https://speakerdeck.com/ianozsvald/making-pandas-fly) | [Blog](https://ianozsvald.com/2020/04/27/flying-pandas-and-making-pandas-fly-virtual-talks-this-weekend-on-faster-data-processing-with-pandas-modin-dask-and-vaex/) | ||
| - [Flying Pandas - Dask, Modin and Vaex (Remote Pizza Python 2020)](https://speakerdeck.com/ianozsvald/flying-pandas-modin-dask-and-vaex) | [Blog](https://ianozsvald.com/2020/04/27/flying-pandas-and-making-pandas-fly-virtual-talks-this-weekend-on-faster-data-processing-with-pandas-modin-dask-and-vaex/) | ||
| - [Tools for Higher Performance python (ODSC 2019)](https://speakerdeck.com/ianozsvald/higher-performance-python-odsc-2019) | [Blog](https://ianozsvald.com/2019/11/22/higher-performance-python-odsc-2019/) | ||
| - [Tools for Higher Performance python (PyDataCambridge 2019)](https://speakerdeck.com/ianozsvald/higher-performance-python) | [Blog](https://ianozsvald.com/2019/11/16/higher-performance-python-at-pydatacambridge-2019/) |