{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Um mit den hier vorliegenden Unterlagen arbeiten zu können,\n",
    "braucht man Python und einige dazugehörige Software-Bibliotheken.\n",
    "\n",
    "Für Windows, Mac und Linux gibt es hierfür Distributionen für wissenschaftliche Zwecke:\n",
    "\n",
    "* **[Anaconda von Continuum Analytics](https://store.continuum.io/cshop/anaconda/)**\n",
    "* [Canopy von Enthought](https://www.enthought.com/products/canopy/)\n",
    "\n",
    "bzw. für Debian/Ubuntu Linux die entsprechenden mitgelieferten Softwarepakete: `python`, `python-numpy`, `python-scipy`, `python-sympy`, `ipython`, `python-pandas`, `python-matplotlib`, `python-networkx`, ...\n",
    "\n",
    "Alternativ lässt sich auch online arbeiten:\n",
    "\n",
    "* [SageMathCloud](https://cloud.sagemath.com)\n",
    "\n",
    "Es gibt auch verschiedene IDEs:\n",
    "\n",
    "* [PyCharm von JetBrains](https://www.jetbrains.com/pycharm/) -- wohl die beste general-purpose IDE für Python\n",
    "* [Spyder](https://pythonhosted.org/spyder/) -- reines OSS Projekt für den technisch/wissenschaftlichen Bereich\n",
    "* [yHat's Rodeo](https://www.yhat.com/products/rodeo) -- für Datenanalyse\n",
    "\n",
    "Nicht unebdingt notwendig, da nur an wenigen Stellen verwendet, kommen auch einige andere Tools vor:\n",
    "\n",
    "* [dot von graphviz](http://www.graphviz.org/): plottet graphen\n",
    "* [Git](http://www.git-scm.com/): Versionskontrolle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Die hier momentan verwendeten Bibliotheken haben diese Versionsnummern:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Zeitpunkt: 2016-09-17\n",
      "Python: 3.5.2 | packaged by conda-forge | (default, Jul 26 2016, 01:32:08) \n",
      "bs4             4.5.1\n",
      "csv             1.0\n",
      "cython          0.24.1\n",
      "json            2.0.9\n",
      "matplotlib      1.5.1\n",
      "mpmath          0.19\n",
      "networkx        1.11\n",
      "numpy           1.11.1\n",
      "pandas          0.18.1\n",
      "scipy           0.18.0\n",
      "sklearn         0.17.1\n",
      "sqlite3         2.6.0\n",
      "statsmodels     0.6.1\n",
      "sympy           1.0\n",
      "yaml            3.11\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "print(\"Zeitpunkt: %s\" % datetime.date.today())\n",
    "\n",
    "import sys\n",
    "print(\"Python: %s\" % sys.version.splitlines()[0])\n",
    "\n",
    "# bs4: beautifulsoup4\n",
    "libs = ['numpy', 'scipy', 'matplotlib', 'sympy', 'mpmath', 'pandas', 'statsmodels',\n",
    "        'sklearn', 'networkx', 'yaml', 'json', 'csv', 'sqlite3', 'cython', \"bs4\"]\n",
    "from importlib import import_module\n",
    "for lib_name in sorted(libs):\n",
    "    lib = import_module(lib_name)\n",
    "    try:\n",
    "        vers = lib.__version__\n",
    "    except:\n",
    "        vers = lib.version\n",
    "    print(\"{:<15s} {}\".format(lib_name, vers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Anaconda (Python 3)",
   "language": "python",
   "name": "anaconda3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
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