HPC/Applications/python - Revision history

Stern at 19:24, January 24, 2018

2018-01-24T19:24:34Z

Stern at 19:17, January 24, 2018

2018-01-24T19:17:08Z

← Older revision		Revision as of 19:17, January 24, 2018
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	<!-- '''<font color="green">python</font>/<font color="green">''pyMajor.pyMinor''</font>'''/<font color="#c80">''compilerName-compMajor.compMinor''</font>/<font color="#888">''pyMajor.pyMinor.pyPatch''-''carbonBuild''</font> -->		<!-- '''<font color="green">python</font>/<font color="green">''pyMajor.pyMinor''</font>'''/<font color="#c80">''compilerName-compMajor.compMinor''</font>/<font color="#888">''pyMajor.pyMinor.pyPatch''-''carbonBuild''</font> -->

	; ~~Full~~ module ~~name examples~~:		; Examples of full module names:
	: <code>python/2.7/gcc-4.1/2.7.3-1</code>		: <code>python/2.7/gcc-4.1/2.7.3-1</code>
	: <code>python/2.7/gcc-4.4/2.7.11-1</code>		: <code>python/2.7/gcc-4.4/2.7.11-1</code>
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	: <code>'''python-''osname'''''/''pyMajor.pyMinor''/''compilerName-compMajor.compMinor''/''pyMajor.pyMinor.pyPatch''</code>		: <code>'''python-''osname'''''/''pyMajor.pyMinor''/''compilerName-compMajor.compMinor''/''pyMajor.pyMinor.pyPatch''</code>

	; ~~Full~~ module ~~name examples~~:		; Examples of full module names:
	: <code>python-centos/2.4/gcc-4.1/2.4.3</code>		: <code>python-centos/2.4/gcc-4.1/2.4.3</code>
	: <code>python-centos/2.6/gcc-4.4/2.6.6</code>		: <code>python-centos/2.6/gcc-4.4/2.6.6</code>
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	: <code>'''python-''distributor'''''/''pyMajor.pyMinor''/''distMajor''/''distributor_defined_version[…]-moduleBuild''</code>		: <code>'''python-''distributor'''''/''pyMajor.pyMinor''/''distMajor''/''distributor_defined_version[…]-moduleBuild''</code>

	; ~~Full~~ module ~~name examples~~:		; Examples of full module names:
	: <code>python-intel/2.7/2018/2.7.14-2018.1.023-1</code>		: <code>python-intel/2.7/2018/2.7.14-2018.1.023-1</code>
	: <code>python-intel/3.5/2017/3.5.3-2017.3.052-1</code>		: <code>python-intel/3.5/2017/3.5.3-2017.3.052-1</code>
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	-->		-->

	; ~~Full~~ module ~~name examples~~:		; Examples of full module names:
	: <code>python-env-intel/2.7/2018/2.7-01</code>		: <code>python-env-intel/2.7/2018/2.7-01</code>
	: <code>python-env-intel/3.5/2017/3.5-01</code>		: <code>python-env-intel/3.5/2017/3.5-01</code>

Stern at 19:16, January 24, 2018

2018-01-24T19:16:05Z

← Older revision		Revision as of 19:16, January 24, 2018
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	<!-- '''<font color="green">python</font>/<font color="green">''pyMajor.pyMinor''</font>'''/<font color="#c80">''compilerName-compMajor.compMinor''</font>/<font color="#888">''pyMajor.pyMinor.pyPatch''-''carbonBuild''</font> -->		<!-- '''<font color="green">python</font>/<font color="green">''pyMajor.pyMinor''</font>'''/<font color="#c80">''compilerName-compMajor.compMinor''</font>/<font color="#888">''pyMajor.pyMinor.pyPatch''-''carbonBuild''</font> -->

	; ~~Examples~~:		; Full module name examples:
	: <code>python/2.7/gcc-4.1/2.7.3-1</code>		: <code>python/2.7/gcc-4.1/2.7.3-1</code>
	: <code>python/2.7/gcc-4.4/2.7.11-1</code>		: <code>python/2.7/gcc-4.4/2.7.11-1</code>
	: <code>python/3.5/gcc-4.4/3.5.1-1</code>		: <code>python/3.5/gcc-4.4/3.5.1-1</code>
	; ~~Recommend~~ module ~~name form~~:		; Recommended module abbreviations:
	: <code>python/2.7</code>		: <code>python/2.7</code>
	: <code>python/3.5</code>		: <code>python/3.5</code>
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	: <code>'''python-''osname'''''/''pyMajor.pyMinor''/''compilerName-compMajor.compMinor''/''pyMajor.pyMinor.pyPatch''</code>		: <code>'''python-''osname'''''/''pyMajor.pyMinor''/''compilerName-compMajor.compMinor''/''pyMajor.pyMinor.pyPatch''</code>

	; ~~Examples~~:		; Full module name examples:
	: <code>python-centos/2.4/gcc-4.1/2.4.3</code>		: <code>python-centos/2.4/gcc-4.1/2.4.3</code>
	: <code>python-centos/2.6/gcc-4.4/2.6.6</code>		: <code>python-centos/2.6/gcc-4.4/2.6.6</code>
	: <code>python-centos/2.7/gcc-4.8/2.7.5</code>		: <code>python-centos/2.7/gcc-4.8/2.7.5</code>
	; ~~Recommend~~ module ~~name form~~:		; Recommended module abbreviations:
	: <code>(none)</code>		: <code>(none)</code>

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	: <code>'''python-''distributor'''''/''pyMajor.pyMinor''/''distMajor''/''distributor_defined_version[…]-moduleBuild''</code>		: <code>'''python-''distributor'''''/''pyMajor.pyMinor''/''distMajor''/''distributor_defined_version[…]-moduleBuild''</code>

	; ~~Examples~~:		; Full module name examples:
	: <code>python-intel/2.7/2018/2.7.14-2018.1.023-1</code>		: <code>python-intel/2.7/2018/2.7.14-2018.1.023-1</code>
	: <code>python-intel/3.5/2017/3.5.3-2017.3.052-1</code>		: <code>python-intel/3.5/2017/3.5.3-2017.3.052-1</code>
	: <code>python-intel/3.6/2018/3.6.3-2018.1.023-1</code>		: <code>python-intel/3.6/2018/3.6.3-2018.1.023-1</code>
	: <code>python-anaconda/2.7/4/2.7.11-4.0.0-2</code>		: <code>python-anaconda/2.7/4/2.7.11-4.0.0-2</code>
	; ~~Recommend~~ module ~~name form~~:		; Recommended module abbreviations:
	: <code>python-intel/2.7</code>		: <code>python-intel/2.7</code>
	: <code>python-intel/3.6</code>		: <code>python-intel/3.6</code>
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	-->		-->

	; ~~Examples~~:		; Full module name examples:
	: <code>python-env-intel/2.7/2018/2.7-01</code>		: <code>python-env-intel/2.7/2018/2.7-01</code>
	: <code>python-env-intel/3.5/2017/3.5-01</code>		: <code>python-env-intel/3.5/2017/3.5-01</code>
	: <code>python-env-intel/3.6/2018/3.6-01</code>		: <code>python-env-intel/3.6/2018/3.6-01</code>
	: <code>python-env-anaconda/2.7/4/2.7.11-09</code>		: <code>python-env-anaconda/2.7/4/2.7.11-09</code>
	; ~~Recommend~~ module ~~name form~~:		; Recommended module abbreviations:
	: <code>python-env-intel/2.7</code>		: <code>python-env-intel/2.7</code>
	: <code>python-env-intel/3.6</code>		: <code>python-env-intel/3.6</code>

Stern: /* Python suites with vendor-distributed package set */

2018-01-19T20:42:03Z

Python suites with vendor-distributed package set

← Older revision		Revision as of 20:42, January 19, 2018
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	* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/[https://pip.pypa.io/en/latest/ pip] package management systems (see [https://packaging.python.org/guides/tool-recommendations/ more context]).		* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/[https://pip.pypa.io/en/latest/ pip] package management systems (see [https://packaging.python.org/guides/tool-recommendations/ more context]).
	* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:		* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:
	** NumPy/SciPy – Ecosystem for scientific computing in Python		** [http://www.numpy.org NumPy]/[https://www.scipy.org/ SciPy] – Ecosystem for scientific computing in Python
	** Idle – Python Integrated DeveLopment Environment		** [https://docs.python.org/3/library/idle.html Idle] – Python Integrated DeveLopment Environment
	** iPython and ~~juPyter~~ – Interactive computation system		** [https://ipython.org iPython] and [https://jupyter.org/ Jupyter] – Interactive computation system
	** Cython – Compiler for a superset of Python and C/C++		** [http://cython.org Cython] – Compiler for a superset of Python and C/C++
	* ''All'' libraries and supporting binaries required by the above, e.g.:		* ''All'' libraries and supporting binaries required by the above, e.g.:
	** BLAS/LAPACK – Linear algebra libraries		** [http://www.netlib.org/blas/ BLAS]/[http://www.netlib.org/lapack/ LAPACK] – Linear algebra libraries
	** Tcl – Interpreter for the Tool Command Language		** [http://www.tcl.tk/ Tcl] – Interpreter for the Tool Command Language
	** MPI – Runtime environment for parallel applications using Message Passing Interface, including the <code>mpirun</code> or <code>mpiexec</code> launch commands.		** [http://mpi-forum.org/docs/ MPI] – Runtime environment for parallel applications using Message Passing Interface, including the <code>mpirun</code> or <code>mpiexec</code> launch commands.

	The last item can be problematic because libraries and supporting binaries included in a Python suite can interfere with other software modules on Carbon.		The last item can be problematic because libraries and supporting binaries included in a Python suite can interfere with other software modules on Carbon.

Stern: /* Python suites with vendor-distributed package set */

2018-01-19T20:36:10Z

Python suites with vendor-distributed package set

← Older revision		Revision as of 20:36, January 19, 2018
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	They typically contain:		They typically contain:
	* A Python interpreter.		* A Python interpreter.
	* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/[https://pip.pypa.io/en/latest/ pip] package management systems.		* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/[https://pip.pypa.io/en/latest/ pip] package management systems (see [https://packaging.python.org/guides/tool-recommendations/ more context]).
	* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:		* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:
	** NumPy/SciPy – Ecosystem for scientific computing in Python		** NumPy/SciPy – Ecosystem for scientific computing in Python

Stern: /* Python suites with vendor-distributed package set */

2018-01-19T20:31:12Z

Python suites with vendor-distributed package set

← Older revision		Revision as of 20:31, January 19, 2018
Line 81:		Line 81:
	They typically contain:		They typically contain:
	* A Python interpreter.		* A Python interpreter.
	* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/pip package management systems.		* The [https://en.wikipedia.org/wiki/Conda_(package_manager) Conda]/[https://pip.pypa.io/en/latest/ pip] package management systems.
	* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:		* A wide-ranging set of Python-native packages, extensions, and add-on executables, often including:
	** NumPy/SciPy – Ecosystem for scientific computing in Python		** NumPy/SciPy – Ecosystem for scientific computing in Python

Stern: /* Python bundles within the OS */

2018-01-19T20:28:40Z

Python bundles within the OS

← Older revision		Revision as of 20:28, January 19, 2018
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	== Python bundles within the OS ==		== Python bundles within the OS ==
	; Contains:		; Contains:
	: The Python interpreter that comes with the operating system. This particular installation is required for many system internals and is the ~~version~~ expected by system-provided add-on packages (installed via rpm or yum). Fortunately, system functionality is not affected (except for possible resource exhaustion) when you choose a different Python installation for user application tasks.		: The Python interpreter that comes with the operating system. This particular installation is required for many system internals and is the one expected by system-provided add-on packages (installed via rpm or yum). Fortunately, system functionality is not affected (except for possible resource exhaustion) when you choose a different Python installation for user application tasks.

	; Module nomenclature:		; Module nomenclature:

Stern: /* Python bundles within the OS */

2018-01-19T20:28:14Z

Python bundles within the OS

← Older revision		Revision as of 20:28, January 19, 2018
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	== Python bundles within the OS ==		== Python bundles within the OS ==
	; Contains:		; Contains:
	: The Python interpreter that comes with the operating system. This particular ~~python~~ installation is required for many system internals and is the version expected by system-provided add-on packages (installed via rpm or yum). Fortunately, system functionality is not affected (except for possible resource exhaustion) when you choose a different Python installation for user application tasks.		: The Python interpreter that comes with the operating system. This particular installation is required for many system internals and is the version expected by system-provided add-on packages (installed via rpm or yum). Fortunately, system functionality is not affected (except for possible resource exhaustion) when you choose a different Python installation for user application tasks.

	; Module nomenclature:		; Module nomenclature:

Stern: /* Python bundles within the OS */

2018-01-19T20:27:59Z

Python bundles within the OS

← Older revision		Revision as of 20:27, January 19, 2018
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	== Python bundles within the OS ==		== Python bundles within the OS ==
	; Contains:		; Contains:
	: The Python interpreter that comes with the operating system. It is required for many system internals and is the version expected by system-provided add-on packages (installed via rpm or yum).		: The Python interpreter that comes with the operating system. This particular python installation is required for many system internals and is the version expected by system-provided add-on packages (installed via rpm or yum). Fortunately, system functionality is not affected (except for possible resource exhaustion) when you choose a different Python installation for user application tasks.

	; Module nomenclature:		; Module nomenclature:

Stern: /* Python standard distributions */

2018-01-19T20:22:11Z

Python standard distributions

← Older revision		Revision as of 20:22, January 19, 2018
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	== Python standard distributions ==		== Python standard distributions ==
	; Contains:		; Contains:
	: A Python interpreter and solely its standard packages (which vary by version), as distributed ~~from~~ [http://www.python.org python.org].		: A Python interpreter and solely its standard packages (which vary by version), as distributed by the Python Software Foundation at [http://www.python.org python.org].

	; Module nomenclature:		; Module nomenclature:
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	; When to use:		; When to use:
	: Use one of these modules as base for installing one or a few Python-native packages yourself, as long as the dependencies are not too odious or performance is not critical. For more complex requirements, choose a [[#Python suites with vendor-distributed package set\|vendor-distributed]] or [[#Python suites with customized package set\|Carbon-customized Python ~~suites~~]] shown below.		: Use one of these modules as base for installing one or a few Python-native packages yourself, as long as the dependencies are not too odious or performance is not critical. For more complex requirements, choose a [[#Python suites with vendor-distributed package set\|vendor-distributed]] or [[#Python suites with customized package set\|Carbon-customized Python suite]] as shown below.

	{{caution\|Packages that were installed under one Python version (or module) usually are not accessible through another version, especially packages that contain binaries like shared libraries and executables.}}		{{caution\|Packages that were installed under one Python version (or module) usually are not accessible through another version, especially packages that contain binaries like shared libraries and executables.}}

← Older revision		Revision as of 19:24, January 24, 2018
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	: <code>python-intel/2.7</code>		: <code>python-intel/2.7</code>
	: <code>python-intel/3.6</code>		: <code>python-intel/3.6</code>
	: <code style="color:#999;">python-anaconda/2.7</code>		: <code style="color:#999;">python-anaconda/2.7</code> <span style="color:#999;">(deprecated)</span>
	: <code style="color:#999;">python-anaconda/3.5</code>		: <code style="color:#999;">python-anaconda/3.5</code> <span style="color:#999;">(deprecated)</span>

	; When to use:		; When to use:
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	: <code>python-env-intel/3.5/2017/3.5-01</code>		: <code>python-env-intel/3.5/2017/3.5-01</code>
	: <code>python-env-intel/3.6/2018/3.6-01</code>		: <code>python-env-intel/3.6/2018/3.6-01</code>
	: <code>python-env-anaconda/2.7/4/2.7.11-09</code>		: <code style="color:#999;">python-env-anaconda/2.7/4/2.7.11-09</code> <span style="color:#999;">(deprecated)</span>
	; Recommended module abbreviations:		; Recommended module abbreviations:
	: <code>python-env-intel/2.7</code>		: <code>python-env-intel/2.7</code>
	: <code>python-env-intel/3.6</code>		: <code>python-env-intel/3.6</code>
	: <code style="color:#999;">python-env-anaconda/2.7</code>		: <code style="color:#999;">python-env-anaconda/2.7</code> <span style="color:#999;">(deprecated)</span>
	: <code style="color:#999;">python-env-anaconda/3.5</code>		: <code style="color:#999;">python-env-anaconda/3.5</code> <span style="color:#999;">(deprecated)</span>

	; When to use:		; When to use: