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Commit 20efbacd authored by Easy Build's avatar Easy Build
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Mon, 08 Jan 2018 08:30:04 +0100

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...@@ -1201,6 +1201,8 @@ cycler/0.10.0-Py-3.6,2 ...@@ -1201,6 +1201,8 @@ cycler/0.10.0-Py-3.6,2
itsdangerous/0.24-Py-3.6,2 itsdangerous/0.24-Py-3.6,2
matplotlib/2.1.1-Py-3.6,2 matplotlib/2.1.1-Py-3.6,2
numpy/1.13.3-Py-3.6,2 numpy/1.13.3-Py-3.6,2
pudb/2017.1.4-Py-2.7,2
pudb/2017.1.4-Py-3.6,2
pyparsing/2.2.0-Py-3.6,2 pyparsing/2.2.0-Py-3.6,2
python-dateutil/2.6.1-Py-3.6,2 python-dateutil/2.6.1-Py-3.6,2
pytz/2017.3-Py-3.6,2 pytz/2017.3-Py-3.6,2
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...@@ -364,6 +364,7 @@ ...@@ -364,6 +364,7 @@
| [MarkupSafe](https://pypi.python.org/pypi/markupsafe) | Implements a XML/HTML/XHTML Markup safe string for Python. | | [MarkupSafe](https://pypi.python.org/pypi/markupsafe) | Implements a XML/HTML/XHTML Markup safe string for Python. |
| [matplotlib](http://matplotlib.org) | matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. | | [matplotlib](http://matplotlib.org) | matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits. |
| [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. | | [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. |
| [pudb](https://pypi.python.org/pypi/pudb) | PuDB is a full-screen, console-based visual debugger for Python. |
| [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. | | [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. |
| [python-dateutil](https://github.com/dateutil/dateutil) | Useful extensions to the standard Python datetime features. | | [python-dateutil](https://github.com/dateutil/dateutil) | Useful extensions to the standard Python datetime features. |
| [pytz](http://pytz.sourceforge.net/) | pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher. | | [pytz](http://pytz.sourceforge.net/) | pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher. |
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