René's URL Explorer Experiment

Title: Performance — python201 0.0.1 documentation

Generator: Docutils 0.17.1: http://docutils.sourceforge.net/

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Links:

	https://python-tutorial.dev/201/index.html
Setup	https://python-tutorial.dev/201/setup.html
Tutorial	https://python-tutorial.dev/201/tutorial/index.html
References	https://python-tutorial.dev/201/references.html
License	https://python-tutorial.dev/201/license.html
GitHub	https://github.com/glentner/python201
Packaging	https://python-tutorial.dev/201/tutorial/packaging.html
Testing	https://python-tutorial.dev/201/tutorial/testing.html
Documentation	https://python-tutorial.dev/201/tutorial/documentation.html
Command-line Interfaces	https://python-tutorial.dev/201/tutorial/commandline.html
Logging	https://python-tutorial.dev/201/tutorial/logging.html
Performance	https://python-tutorial.dev/201/tutorial/performance.html
Benchmarking	https://python-tutorial.dev/201/tutorial/performance.html#benchmarking
Timing Your Code	https://python-tutorial.dev/201/tutorial/performance.html#timing-your-code
Interactive Benchmarking with IPython	https://python-tutorial.dev/201/tutorial/performance.html#interactive-benchmarking-with-ipython
Performance Profiling	https://python-tutorial.dev/201/tutorial/performance.html#performance-profiling
Line Profiler	https://python-tutorial.dev/201/tutorial/performance.html#line-profiler
Memory Profiler	https://python-tutorial.dev/201/tutorial/performance.html#memory-profiler
Do Not Reinvent the Wheel	https://python-tutorial.dev/201/tutorial/performance.html#do-not-reinvent-the-wheel
Use Existing Libraries	https://python-tutorial.dev/201/tutorial/performance.html#use-existing-libraries
Use Better Algorithms	https://python-tutorial.dev/201/tutorial/performance.html#use-better-algorithms
Use Better Data Formats	https://python-tutorial.dev/201/tutorial/performance.html#use-better-data-formats
Coding Practices and Memory Efficiency	https://python-tutorial.dev/201/tutorial/performance.html#coding-practices-and-memory-efficiency
Benchmark, benchmark, benchmark!	https://python-tutorial.dev/201/tutorial/performance.html#benchmark-benchmark-benchmark
Avoid explicit loops	https://python-tutorial.dev/201/tutorial/performance.html#avoid-explicit-loops
Avoid repeatedly allocating, copying and rearranging data	https://python-tutorial.dev/201/tutorial/performance.html#avoid-repeatedly-allocating-copying-and-rearranging-data
Access data from memory efficiently	https://python-tutorial.dev/201/tutorial/performance.html#access-data-from-memory-efficiently
Compiled Code	https://python-tutorial.dev/201/tutorial/performance.html#compiled-code
Just-in-Time Compilation	https://python-tutorial.dev/201/tutorial/performance.html#just-in-time-compilation
C-Extensions	https://python-tutorial.dev/201/tutorial/performance.html#c-extensions
Extras	https://python-tutorial.dev/201/tutorial/performance.html#extras
Parallel and Distributed Computing	https://python-tutorial.dev/201/tutorial/performance.html#parallel-and-distributed-computing
Shared-memory Programming	https://python-tutorial.dev/201/tutorial/performance.html#shared-memory-programming
¶	https://python-tutorial.dev/201/tutorial/performance.html#performance
numba	https://numba.pydata.org
¶	https://python-tutorial.dev/201/tutorial/performance.html#benchmarking
¶	https://python-tutorial.dev/201/tutorial/performance.html#timing-your-code
time	https://docs.python.org/3/library/time.html#time.time
decorator syntax	http://en.wikipedia.org/wiki/Python_syntax_and_semantics#Decorators
¶	https://python-tutorial.dev/201/tutorial/performance.html#interactive-benchmarking-with-ipython
magic statements	https://ipython.readthedocs.io/en/stable/interactive/magics.html
¶	https://python-tutorial.dev/201/tutorial/performance.html#performance-profiling
¶	https://python-tutorial.dev/201/tutorial/performance.html#line-profiler
line_profiler	https://github.com/rkern/line_profiler
¶	https://python-tutorial.dev/201/tutorial/performance.html#memory-profiler
memory_profiler	https://github.com/pythonprofilers/memory_profiler
¶	https://python-tutorial.dev/201/tutorial/performance.html#id5
¶	https://python-tutorial.dev/201/tutorial/performance.html#do-not-reinvent-the-wheel
¶	https://python-tutorial.dev/201/tutorial/performance.html#use-existing-libraries
numpy	https://numpy.org
numpy.cumprod	https://numpy.org/doc/stable/reference/generated/numpy.cumprod.html
¶	https://python-tutorial.dev/201/tutorial/performance.html#use-better-algorithms
sparse	https://en.wikipedia.org/wiki/Sparse_matrix
¶	https://python-tutorial.dev/201/tutorial/performance.html#use-better-data-formats
this page	https://pandas.pydata.org/pandas-docs/stable/io.html
here	https://pandas.pydata.org/pandas-docs/stable/io.html#performance-considerations
¶	https://python-tutorial.dev/201/tutorial/performance.html#coding-practices-and-memory-efficiency
feet.csv	https://python-tutorial.dev/201/_downloads/1859710a17e348bdb23cd49c43b2bbdc/feet.csv
¶	https://python-tutorial.dev/201/tutorial/performance.html#benchmark-benchmark-benchmark
¶	https://python-tutorial.dev/201/tutorial/performance.html#avoid-explicit-loops
¶	https://python-tutorial.dev/201/tutorial/performance.html#avoid-repeatedly-allocating-copying-and-rearranging-data
numexpr	https://github.com/pydata/numexpr
This article	https://nedbatchelder.com/text/names.html
¶	https://python-tutorial.dev/201/tutorial/performance.html#access-data-from-memory-efficiently
¶	https://python-tutorial.dev/201/tutorial/performance.html#compiled-code
¶	https://python-tutorial.dev/201/tutorial/performance.html#just-in-time-compilation
Numba	https://numba.pydata.org/
Cython	http://cython.org/
¶	https://python-tutorial.dev/201/tutorial/performance.html#c-extensions
documentation	https://docs.python.org/3.8/extending/extending.html
tutorials	http://madrury.github.io/jekyll/update/programming/2016/06/20/python-extension-modules.html
¶	https://python-tutorial.dev/201/tutorial/performance.html#extras
¶	https://python-tutorial.dev/201/tutorial/performance.html#parallel-and-distributed-computing
GNU Parallel	https://www.gnu.org/software/parallel/
hyper-shell	https://hyper-shell.readthedocs.io
IPython Parallel	https://ipyparallel.readthedocs.io/en/latest/
Dask	https://dask.pydata.org/en/latest/
Parsl	http://parsl-project.org
Tensorflow	https://www.tensorflow.org/
multiprocessing	https://docs.python.org/3/library/multiprocessing.html
joblib	https://pythonhosted.org/joblib/
¶	https://python-tutorial.dev/201/tutorial/performance.html#shared-memory-programming
Apache Arrow	https://arrow.apache.org
Plasma In-Memory Object Store	https://arrow.apache.org/docs/python/plasma.html
here	https://python-tutorial.dev/201/_downloads/de5c242a07b93d1e6a51102d4d52be93/htc_with_plasma.pdf
previous Logging	https://python-tutorial.dev/201/tutorial/logging.html
next References	https://python-tutorial.dev/201/references.html
Sphinx	http://sphinx-doc.org/

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