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- If you are using mac, you can install pyenv from Brew, install the desired versions, list the installed versions, and activate each version locally or globally. Brew install pyenv pyenv install 3.6.9 pyenv install 3.7.4 pyenv versions pyenv global 3.7.4 3.6.9 $ python3.6 -version Python 3.6.9 $ python3.7 -version Python 3.7.4.
- Python 3.7.4 July 8, 2019 Download Release Notes; Python 3.6.9 July 2. The same source code archive can also be used to build the Windows and Mac versions, and is.
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Fast NumPy array functions written in C
Project description
Bottleneck is a collection of fast NumPy array functions written in C.
Let’s give it a try. Create a NumPy array: Art file for mac free download. Download free games for my mac.
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Benchmark
Bottleneck comes with a benchmark suite:
You can also run a detailed benchmark for a single function using, forexample, the command:
Only arrays with data type (dtype) int32, int64, float32, and float64 areaccelerated. All other dtypes result in calls to slower, unacceleratedfunctions. In the rare case of a byte-swapped input array (e.g. a big-endianarray on a little-endian operating system) the function will not beaccelerated regardless of dtype.
Where
download | https://pypi.python.org/pypi/Bottleneck |
docs | https://bottleneck.readthedocs.io |
code | https://github.com/pydata/bottleneck |
mailing list | https://groups.google.com/group/bottle-neck |
License
Bottleneck is distributed under a Simplified BSD license. See the LICENSE fileand LICENSES directory for details.
Install
Requirements:
Bottleneck | Python 2.7, 3.5, 3.6, 3.7, 3.8; NumPy 1.16.0+ |
Compile | gcc, clang, MinGW or MSVC |
Unit tests | pytest |
Documentation | sphinx, numpydoc |
To install Bottleneck on Linux, Mac OS X, et al.:
To install bottleneck on Windows, first install MinGW and add it to yoursystem path. Mac drivers for windows 10 download. Then install Bottleneck with the command:
Alternatively, you can use the Windows binaries created by Christoph Gohlke:http://www.lfd.uci.edu/~gohlke/pythonlibs/#bottleneck
Unit tests
After you have installed Bottleneck, run the suite of unit tests:
If developing in the git repo, simply run py.test
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Filename, size | File type | Python version | Upload date | Hashes |
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