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Commit b7da1b00 authored by Easy Build's avatar Easy Build
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Fri, 09 Feb 2018 09:15:04 +0100

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......@@ -755,6 +755,7 @@ LAMMPS/24Jul2017-intel-2017a,2
LAMMPS/28Jun14-intel-2015b,2
LAPACK/3.7.1-gompi-2017a,2
LAPACKE/3.5.0-LAPACK-3.5.0,2
latexcodec/1.0.5-Py-3.6,2
libc/2.14-6.3.0,2
libcerf/1.5,2
libctl/3.2.2-intel-2015b,2
......@@ -1248,6 +1249,7 @@ OTF2/1.4-intel-2015b,2
OTF2/2.0,2
OTF2/2.0-intel-2015b-mic,2
p4vasp/0.3.30,2
palettable/3.1.0-Py-3.6,2
pandas/0.22.0-Py-3.6,2
Pango/1.39.0,2
Pango/1.40.5,2
......@@ -1363,6 +1365,7 @@ pudb/2017.1.4-Py-3.6,2
pWord2Vec/2018-01-25-intel-2017a,2
Py/2.7,2
Py/3.6,2
pybtex/0.21-Py-3.6,2
PyCairo/1.10.0-Python-2.7.13-base,2
PyGObject/2.28.6-Python-2.7.13-base,2
PyGTK/2.24.0-Python-2.7.13-base,2
......
......@@ -373,6 +373,7 @@
| [h5py](http://www.h5py.org/) | HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. |
| [itsdangerous](https://pypi.python.org/pypi/itsdangerous) | Various helpers to pass trusted data to untrusted environments and back. |
| [Jinja2](https://pypi.python.org/pypi/jinja) | A small but fast and easy to use stand-alone template engine written in pure python. |
| [latexcodec](https://pypi.python.org/pypi/latexcodec) | A lexer and codec to work with LaTeX code in Python. |
| [lxml](http://lxml.de/) | The lxml XML toolkit is a Pythonic binding for the C libraries libxml2 and libxslt. |
| [Mako](http://www.makotemplates.org) | A super-fast templating language that borrows the best ideas from the existing templating languages |
| [MarkupSafe](https://pypi.python.org/pypi/markupsafe) | Implements a XML/HTML/XHTML Markup safe string for Python. |
......@@ -382,10 +383,12 @@
| [mpi4py](http://mpi4py.scipy.org/docs) | MPI for Python (mpi4py) provides bindings of the Message Passing Interface (MPI) standard for the Python programming language, allowing any Python program to exploit multiple processors. |
| [mpmath](https://pypi.python.org/pypi/mpmath) | Python library for arbitrary-precision floating-point arithmetic. |
| [numpy](http://www.numpy.org) | NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, useful linear algebra, Fourier transform, and random number capabilities. Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. |
| [palettable](https://pypi.python.org/pypi/palettable) | Color palettes for Python. |
| [pandas](https://pypi.python.org/pypi/pandas) | Powerful data structures for data analysis, time series,and statistics. |
| [phonopy](http://python.org/) | Python is a programming language that lets you work more quickly and integrate your systems more effectively. |
| [pluggy](https://github.com/pytest-dev/pluggy) | Plugin and hook calling mechanisms for python. |
| [pudb](https://pypi.python.org/pypi/pudb) | PuDB is a full-screen, console-based visual debugger for Python. |
| [pybtex](https://pypi.python.org/pypi/pybtex) | A BibTeX-compatible bibliography processor in Python. |
| [pymatgen](https://pypi.python.org/pypi/pymatgen) | Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://www.materialsproject.org). |
| [pyparsing](http://pyparsing.wikispaces.com) | The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. |
| [pytest](http://pytest.org) | Simple powerful testing with Python |
......
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