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	<updated>2026-06-10T14:40:24Z</updated>
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	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=262</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=262"/>
		<updated>2017-09-05T13:41:26Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== In submission script itself, do not forget to: ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules)&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
&lt;br /&gt;
3) Use aprun to run the job, otherwise it will run only on the shared job launcher node and not on the compute nodes.&lt;br /&gt;
&lt;br /&gt;
4) Create a tmp folder in the work directory and set the environmental variable to pint to it. The compute nodes do not have access to the regular tmp folders.&lt;br /&gt;
  export TMPDIR=/work/e507/e507/ap837/tmp&lt;br /&gt;
&lt;br /&gt;
5) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
6) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
7) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Setting up virtual environment for PySCF ==&lt;br /&gt;
In this order:&lt;br /&gt;
&lt;br /&gt;
1) Load python, numpy, scipy&lt;br /&gt;
&lt;br /&gt;
[2) Create virtual environment]&lt;br /&gt;
&lt;br /&gt;
3) Enter virtual environment&lt;br /&gt;
&lt;br /&gt;
4) Update pip&lt;br /&gt;
&lt;br /&gt;
3) Install h5py, ase or other necessary modules&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=261</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=261"/>
		<updated>2017-09-05T13:41:03Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== In submission script itself, do not forget to: ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules)&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
&lt;br /&gt;
3) Use aprun to run the job, otherwise it will run only on the shared job launcher node and not on the compute nodes.&lt;br /&gt;
&lt;br /&gt;
4) Create a tmp folder in the work directory and set the environmental variable to pint to it. The compute nodes do not have access to the regular tmp folders.&lt;br /&gt;
  export TMPDIR=/work/e507/e507/ap837/tmp&lt;br /&gt;
&lt;br /&gt;
5) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
6) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
7) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Setting up virtual environment for PySCF ==&lt;br /&gt;
In this order:&lt;br /&gt;
&lt;br /&gt;
1) Load python, numpy, scipy&lt;br /&gt;
&lt;br /&gt;
[2) Create virtual environment]&lt;br /&gt;
&lt;br /&gt;
3) Enter virtual environment&lt;br /&gt;
&lt;br /&gt;
4) Update pip&lt;br /&gt;
&lt;br /&gt;
3) Install h5py, ase or other necessary&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=257</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=257"/>
		<updated>2017-08-31T09:25:34Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== In submission script itself, do not forget to: ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules)&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
&lt;br /&gt;
3) Use aprun to run the job, otherwise it will run only on the shared job launcher node and not on the compute nodes.&lt;br /&gt;
&lt;br /&gt;
4) Create a tmp folder in the work directory and set the environmental variable to pint to it. The compute nodes do not have access to the regular tmp folders.&lt;br /&gt;
  export TMPDIR=/work/e507/e507/ap837/tmp&lt;br /&gt;
&lt;br /&gt;
5) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
6) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
7) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=256</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=256"/>
		<updated>2017-08-30T15:43:39Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== In submission script itself, do not forget to: ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules)&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
3) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
4) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
5) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=255</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=255"/>
		<updated>2017-08-30T15:43:07Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
In submission script itself, do not forget to:&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules)&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
3) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
4) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
5) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=254</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=254"/>
		<updated>2017-08-30T15:42:21Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
before the compilation. For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
In submission script itself, do not forget to:&lt;br /&gt;
&lt;br /&gt;
1) Load python and all modules supplied centrally &lt;br /&gt;
  module load python-compute&lt;br /&gt;
  module load pc-numpy&lt;br /&gt;
  module load pc-scipy&lt;br /&gt;
2) Enter virtual environment containing all additional modules (AFTER loading python and the central modules&lt;br /&gt;
  source /work/e507/e507/ap837/code/venv_pyscf/bin/activate&lt;br /&gt;
3) If code uses intel libraries: (errors like:&lt;br /&gt;
  OSError: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory&lt;br /&gt;
  OSError: libiomp5.so: cannot open shared object file: No such file or directory&lt;br /&gt;
) do:&lt;br /&gt;
  source /opt/intel/bin/compilervars.sh intel64&lt;br /&gt;
&lt;br /&gt;
4) When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;br /&gt;
&lt;br /&gt;
5) For PySCF, since we are using old numpy, you need to comment out warning in __init__.py in the pyscf folder&lt;br /&gt;
&lt;br /&gt;
  #if LooseVersion(numpy.__version__) &amp;lt;= LooseVersion(&#039;1.8.0&#039;):&lt;br /&gt;
  #    raise SystemError(&amp;quot;You&#039;re using an old version of Numpy (%s). &amp;quot;&lt;br /&gt;
  #                      &amp;quot;It is recommended to upgrad numpy to 1.8.0 or newer. \n&amp;quot;&lt;br /&gt;
  #                      &amp;quot;You still can use all features of PySCF with the old numpy by removing this warning msg. &amp;quot;&lt;br /&gt;
  #                      &amp;quot;Some modules (DFT, CC, MRPT) might be affected because of the bug in old numpy.&amp;quot; %&lt;br /&gt;
  #                      numpy.__version__)&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=253</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=253"/>
		<updated>2017-08-29T14:04:50Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
&lt;br /&gt;
  File &amp;quot;crystal.py&amp;quot;, line 3, in &amp;lt;module&amp;gt;&lt;br /&gt;
    import pyscf.pbc&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/__init__.py&amp;quot;, line 7, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.gto import mole&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/mole.py&amp;quot;, line 16, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import lib&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/__init__.py&amp;quot;, line 11, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.lib import numpy_helper&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/numpy_helper.py&amp;quot;, line 17, in &amp;lt;module&amp;gt;&lt;br /&gt;
    _np_helper = misc.load_library(&#039;libnp_helper&#039;)&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/misc.py&amp;quot;, line 41, in load_library&lt;br /&gt;
    return numpy.ctypeslib.load_library(libname, _loaderpath)&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;br /&gt;
&lt;br /&gt;
When using numpy, the following error may occur:&lt;br /&gt;
  Intel MKL FATAL ERROR: Cannot load libmkl_avx.so or libmkl_def.so&lt;br /&gt;
Tha solution is to do:&lt;br /&gt;
  export LD_PRELOAD=/opt/intel/mkl/lib/intel64/libmkl_core.so:/opt/intel/mkl/lib/intel64/libmkl_sequential.so&lt;br /&gt;
as found here http://debugjournal.tumblr.com/post/98401758462/intel-mkl-dynamic-link-library-error.&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=252</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=252"/>
		<updated>2017-08-29T13:20:14Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
&lt;br /&gt;
  File &amp;quot;crystal.py&amp;quot;, line 3, in &amp;lt;module&amp;gt;&lt;br /&gt;
    import pyscf.pbc&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/__init__.py&amp;quot;, line 7, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.gto import mole&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/mole.py&amp;quot;, line 16, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import lib&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/__init__.py&amp;quot;, line 11, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.lib import numpy_helper&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/numpy_helper.py&amp;quot;, line 17, in &amp;lt;module&amp;gt;&lt;br /&gt;
    _np_helper = misc.load_library(&#039;libnp_helper&#039;)&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/misc.py&amp;quot;, line 41, in load_library&lt;br /&gt;
    return numpy.ctypeslib.load_library(libname, _loaderpath)&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
  OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
  export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=251</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=251"/>
		<updated>2017-08-29T13:19:43Z</updated>

		<summary type="html">&lt;p&gt;Ap837: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
  ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
or&lt;br /&gt;
&lt;br /&gt;
  File &amp;quot;crystal.py&amp;quot;, line 3, in &amp;lt;module&amp;gt;&lt;br /&gt;
    import pyscf.pbc&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/pyscf/__init__.py&amp;quot;, line 118, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import gto&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/__init__.py&amp;quot;, line 7, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.gto import mole&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/gto/mole.py&amp;quot;, line 16, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf import lib&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/__init__.py&amp;quot;, line 11, in &amp;lt;module&amp;gt;&lt;br /&gt;
    from pyscf.lib import numpy_helper&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/numpy_helper.py&amp;quot;, line 17, in &amp;lt;module&amp;gt;&lt;br /&gt;
    _np_helper = misc.load_library(&#039;libnp_helper&#039;)&lt;br /&gt;
  File &amp;quot;/work/e507/e507/ap837/code/pyscf/lib/misc.py&amp;quot;, line 41, in load_library&lt;br /&gt;
    return numpy.ctypeslib.load_library(libname, _loaderpath)&lt;br /&gt;
  File &amp;quot;/work/y07/y07/cse/numpy/1.9.2-libsci/lib/python2.7/site-packages/numpy/ctypeslib.py&amp;quot;, line 128, in load_library&lt;br /&gt;
    raise OSError(&amp;quot;no file with expected extension&amp;quot;)&lt;br /&gt;
OSError: no file with expected extension&lt;br /&gt;
&lt;br /&gt;
and other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=250</id>
		<title>Python software on Archer</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Python_software_on_Archer&amp;diff=250"/>
		<updated>2017-08-29T12:58:17Z</updated>

		<summary type="html">&lt;p&gt;Ap837: Created page with &amp;quot;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For running Python on work nodes on Archer, there are python-compute (native) and anaconda-compute modules available. Users are discouraged from using anaconda-compute because it is not optimised for running on Archer. There are some preinstalled packages for python-compute and they begin with pc-. For installation of additional packages, virtual environments are encouraged.&lt;br /&gt;
&lt;br /&gt;
For more info see: http://www.archer.ac.uk/documentation/user-guide/python.php&lt;br /&gt;
&lt;br /&gt;
When compiling Python software (like PySCF) Archer by default builds all libraries as static libraries. This leads to errors like:&lt;br /&gt;
&lt;br /&gt;
ImportError Cannot import name ...&lt;br /&gt;
&lt;br /&gt;
Or other errors.&lt;br /&gt;
&lt;br /&gt;
To prevent dynamic libraries from becoming static you must:&lt;br /&gt;
&lt;br /&gt;
export CRAYPE_LINK_TYPE=dynamic&lt;br /&gt;
&lt;br /&gt;
For more information see: http://www.archer.ac.uk/documentation/user-guide/development.php#sec-4.6&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Main_Page&amp;diff=249</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Main_Page&amp;diff=249"/>
		<updated>2017-08-29T12:44:19Z</updated>

		<summary type="html">&lt;p&gt;Ap837: /* Useful Information */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Good Evening, Guten Abend, and Willkommen to ze new Thom Group Wiki&lt;br /&gt;
= Contents =&lt;br /&gt;
== [[Calendar | Calendar]] ==&lt;br /&gt;
https://calendar.google.com/calendar/render?mode=day&amp;amp;date=20160601T153539#main_7%7Cday-1+23745+23745+23745&lt;br /&gt;
&lt;br /&gt;
{{Special:IframePage}}&lt;br /&gt;
&lt;br /&gt;
== Group Meetings ==&lt;br /&gt;
&lt;br /&gt;
===Research Period===&lt;br /&gt;
{|&lt;br /&gt;
|+&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|15th August 2016    || Jonathan&lt;br /&gt;
|-&lt;br /&gt;
|30th August 2016    || Charlie&lt;br /&gt;
|-&lt;br /&gt;
|12th September 2016 || James&lt;br /&gt;
|-&lt;br /&gt;
|26th September 2016 || CANCELLED&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Michaelmas Term===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|10th October 2016    || Charlie || Hugh&lt;br /&gt;
|-&lt;br /&gt;
|24th October 2016    || Verena || Sav&lt;br /&gt;
|-&lt;br /&gt;
|7th November 2016 || Choi  || Alex&lt;br /&gt;
|-&lt;br /&gt;
|21st November 2016 || Ruth  ||  Bang &amp;amp; Verena&lt;br /&gt;
|-&lt;br /&gt;
|5th December 2016 || [AJWT away]&lt;br /&gt;
|-&lt;br /&gt;
|19th December 2016 || Hugh  ||  Choi&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Lent Term 2017===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|9th January || Sav || Charlie &amp;amp; Verena&lt;br /&gt;
|-&lt;br /&gt;
|23rd January    || Henry &amp;amp; Alex C || Ruth&lt;br /&gt;
|-&lt;br /&gt;
|13th February    || Choi &amp;amp; Ben || Alex T&lt;br /&gt;
|-&lt;br /&gt;
|27th February || Bang  || Alex C&lt;br /&gt;
|-&lt;br /&gt;
|13th March || Verena  ||  Ben&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Easter Term 2017===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|24th April || Sav || Alex T&lt;br /&gt;
|-&lt;br /&gt;
|8th May || ||&lt;br /&gt;
|-&lt;br /&gt;
|22nd May || [AJWT away] || [Perhaps try the beer festival in the evening?]&lt;br /&gt;
|-&lt;br /&gt;
|5th June || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== [[Group_List | Group List]] ==&lt;br /&gt;
(see also http://www.ch.cam.ac.uk/group/thom)&lt;br /&gt;
- An up to date list of group members&lt;br /&gt;
&lt;br /&gt;
== [[Computer_List | Computer List]] ==&lt;br /&gt;
- Group computers available.&lt;br /&gt;
== [[Introduction | Introduction to basic shell commands]] == &lt;br /&gt;
- There are a number of tutorials available which document basic operations that are useful including:&lt;br /&gt;
&lt;br /&gt;
# General bash commands&lt;br /&gt;
# Setting up cygwin&lt;br /&gt;
# Setting up ssh keys and general bash commands what are helpful&lt;br /&gt;
# using [[GIT]]&lt;br /&gt;
# Useful cerebro queue commands&lt;br /&gt;
# Some [[vim]] tidbits&lt;br /&gt;
&lt;br /&gt;
Currently undergoing construction.&lt;br /&gt;
&lt;br /&gt;
== Useful Software ==&lt;br /&gt;
# Using QChem&lt;br /&gt;
# Using [[QCMagic]]&lt;br /&gt;
# [[SimpleDMC]]&lt;br /&gt;
&lt;br /&gt;
== Useful Information ==&lt;br /&gt;
# Guidelines on [[Code Review]]&lt;br /&gt;
# How to do things relating to [[HANDE]] releases&lt;br /&gt;
# How to run PySCF or other [[Python software on Archer]]&lt;br /&gt;
&lt;br /&gt;
== [[Archiving_data | Archiving data for the university repository]] ==&lt;br /&gt;
== [[Website_to_do | To-do list for the Thom Group Website]] ==&lt;br /&gt;
&lt;br /&gt;
= To Do List =&lt;br /&gt;
&lt;br /&gt;
-a pretty picture&lt;br /&gt;
&lt;br /&gt;
--A &amp;quot;How to:&amp;quot; page on setting up cygwin, ssh keys and general bash commands what are helpful&lt;br /&gt;
&lt;br /&gt;
--A &amp;quot;How to:&amp;quot; page on using qchem&lt;br /&gt;
&lt;br /&gt;
--A Pretty picture for the $wgLogo&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
	<entry>
		<id>https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Main_Page&amp;diff=248</id>
		<title>Main Page</title>
		<link rel="alternate" type="text/html" href="https://wikis.ch.cam.ac.uk/thom/wiki/index.php?title=Main_Page&amp;diff=248"/>
		<updated>2017-08-29T12:43:08Z</updated>

		<summary type="html">&lt;p&gt;Ap837: /* Useful Information */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Good Evening, Guten Abend, and Willkommen to ze new Thom Group Wiki&lt;br /&gt;
= Contents =&lt;br /&gt;
== [[Calendar | Calendar]] ==&lt;br /&gt;
https://calendar.google.com/calendar/render?mode=day&amp;amp;date=20160601T153539#main_7%7Cday-1+23745+23745+23745&lt;br /&gt;
&lt;br /&gt;
{{Special:IframePage}}&lt;br /&gt;
&lt;br /&gt;
== Group Meetings ==&lt;br /&gt;
&lt;br /&gt;
===Research Period===&lt;br /&gt;
{|&lt;br /&gt;
|+&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|15th August 2016    || Jonathan&lt;br /&gt;
|-&lt;br /&gt;
|30th August 2016    || Charlie&lt;br /&gt;
|-&lt;br /&gt;
|12th September 2016 || James&lt;br /&gt;
|-&lt;br /&gt;
|26th September 2016 || CANCELLED&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Michaelmas Term===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|10th October 2016    || Charlie || Hugh&lt;br /&gt;
|-&lt;br /&gt;
|24th October 2016    || Verena || Sav&lt;br /&gt;
|-&lt;br /&gt;
|7th November 2016 || Choi  || Alex&lt;br /&gt;
|-&lt;br /&gt;
|21st November 2016 || Ruth  ||  Bang &amp;amp; Verena&lt;br /&gt;
|-&lt;br /&gt;
|5th December 2016 || [AJWT away]&lt;br /&gt;
|-&lt;br /&gt;
|19th December 2016 || Hugh  ||  Choi&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Lent Term 2017===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|9th January || Sav || Charlie &amp;amp; Verena&lt;br /&gt;
|-&lt;br /&gt;
|23rd January    || Henry &amp;amp; Alex C || Ruth&lt;br /&gt;
|-&lt;br /&gt;
|13th February    || Choi &amp;amp; Ben || Alex T&lt;br /&gt;
|-&lt;br /&gt;
|27th February || Bang  || Alex C&lt;br /&gt;
|-&lt;br /&gt;
|13th March || Verena  ||  Ben&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Easter Term 2017===&lt;br /&gt;
{|&lt;br /&gt;
|&#039;&#039;&#039;Date&#039;&#039;&#039;                || &#039;&#039;&#039;Mini-talk&#039;&#039;&#039; ||| &#039;&#039;&#039;Cake&#039;&#039;&#039;&lt;br /&gt;
|-&lt;br /&gt;
|24th April || Sav || Alex T&lt;br /&gt;
|-&lt;br /&gt;
|8th May || ||&lt;br /&gt;
|-&lt;br /&gt;
|22nd May || [AJWT away] || [Perhaps try the beer festival in the evening?]&lt;br /&gt;
|-&lt;br /&gt;
|5th June || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== [[Group_List | Group List]] ==&lt;br /&gt;
(see also http://www.ch.cam.ac.uk/group/thom)&lt;br /&gt;
- An up to date list of group members&lt;br /&gt;
&lt;br /&gt;
== [[Computer_List | Computer List]] ==&lt;br /&gt;
- Group computers available.&lt;br /&gt;
== [[Introduction | Introduction to basic shell commands]] == &lt;br /&gt;
- There are a number of tutorials available which document basic operations that are useful including:&lt;br /&gt;
&lt;br /&gt;
# General bash commands&lt;br /&gt;
# Setting up cygwin&lt;br /&gt;
# Setting up ssh keys and general bash commands what are helpful&lt;br /&gt;
# using [[GIT]]&lt;br /&gt;
# Useful cerebro queue commands&lt;br /&gt;
# Some [[vim]] tidbits&lt;br /&gt;
&lt;br /&gt;
Currently undergoing construction.&lt;br /&gt;
&lt;br /&gt;
== Useful Software ==&lt;br /&gt;
# Using QChem&lt;br /&gt;
# Using [[QCMagic]]&lt;br /&gt;
# [[SimpleDMC]]&lt;br /&gt;
&lt;br /&gt;
== Useful Information ==&lt;br /&gt;
# Guidelines on [[Code Review]]&lt;br /&gt;
# How to do things relating to [[HANDE]] releases&lt;br /&gt;
# How to run PySCF or other Python software on Archer&lt;br /&gt;
&lt;br /&gt;
== [[Archiving_data | Archiving data for the university repository]] ==&lt;br /&gt;
== [[Website_to_do | To-do list for the Thom Group Website]] ==&lt;br /&gt;
&lt;br /&gt;
= To Do List =&lt;br /&gt;
&lt;br /&gt;
-a pretty picture&lt;br /&gt;
&lt;br /&gt;
--A &amp;quot;How to:&amp;quot; page on setting up cygwin, ssh keys and general bash commands what are helpful&lt;br /&gt;
&lt;br /&gt;
--A &amp;quot;How to:&amp;quot; page on using qchem&lt;br /&gt;
&lt;br /&gt;
--A Pretty picture for the $wgLogo&lt;/div&gt;</summary>
		<author><name>Ap837</name></author>
	</entry>
</feed>