From 1c747d6889902ae21fa958d0dd1722176ad27bac Mon Sep 17 00:00:00 2001 From: Easy Build <easybuild@login4.smc.salomon.it4i.cz> Date: Fri, 9 Feb 2018 08:45:04 +0100 Subject: [PATCH] Fri, 09 Feb 2018 08:45:04 +0100 --- salomon.csv | 1 + salomon.md | 1 + 2 files changed, 2 insertions(+) diff --git a/salomon.csv b/salomon.csv index 387ef326..9536bfd5 100644 --- a/salomon.csv +++ b/salomon.csv @@ -1248,6 +1248,7 @@ OTF2/1.4-intel-2015b,2 OTF2/2.0,2 OTF2/2.0-intel-2015b-mic,2 p4vasp/0.3.30,2 +pandas/0.22.0-Py-3.6,2 Pango/1.39.0,2 Pango/1.40.5,2 Pango/1.40.5-intel-2017a,2 diff --git a/salomon.md b/salomon.md index 880c1104..5667a918 100644 --- a/salomon.md +++ b/salomon.md @@ -382,6 +382,7 @@ | [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. | +| [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. | -- GitLab