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   "source": [
    "# Python: część 3\n",
    "\n",
    "## Tomasz Dwojak\n",
    "\n",
    "### 16 grudnia 2017"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Co już było?\n",
    " * podstawowe typy i struktury danych\n",
    " * funkcje\n",
    " * biblioteki\n",
    " * klasy\n",
    " * praca z plikami\n",
    " * wyjątki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Co na dziś?\n",
    " * Dzielenie kodu na pliki\n",
    " * Podstawy analizy danych: Pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Dzielenie kodu\n",
    "\n",
    " * Zwiększenie jakości kodu\n",
    " * Napisz raz i korzystaj w wielu sytuacjach\n",
    " * Tworzenie własnej biblioteki"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Dzielenie kodu - podsumowanie\n",
    " * import\n",
    " * ``if __name__ == '__main__'``\n",
    " * Pakiety i pliki ``__init__.py``\n",
    " * zmienna PYTHONPATH i ``sys.path``"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Interpreter Pythona"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Argumenty do programu\n",
    "\n",
    " * czy potrzebujemy pyCharm żeby uruchomić prosty skrypt?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### sys.argv\n",
    " * zawiera liste wszystkich argumentów\n",
    " * pierwszy element zawiera nazwe pliku"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/usr/lib/python2.7/site-packages/ipykernel/__main__.py', '-f', '/run/user/1000/jupyter/kernel-7efdb6ca-75d5-474e-90c4-fda3dadc3282.json']\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "print(sys.argv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### Biblioteka argparse"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "outputs": [],
   "source": [
    "import argparse\n",
    "parser = argparse.ArgumentParser()\n",
    "parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"number\", help=\"Opis\")\n",
    "args = parser.parse_args()\n",
    "print(args.number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"number\", help=\"Opis\", nargs=\"+\")\n",
    "args = parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"--verbosity\", help=\"increase output verbosity\")\n",
    "args = parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"--verbose\", help=\"increase output verbosity\",\n",
    "                    action=\"store_true\")\n",
    "args = parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"-v\", \"--verbose\", help=\"increase output verbosity\",\n",
    "                    action=\"store_true\")\n",
    "args = parser.parse_args()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "parser = argparse.ArgumentParser()\n",
    "parser.add_argument(\"-v\", \"--verbose\", help=\"increase output verbosity\",\n",
    "                    action=\"store_true\")\n",
    "parser.add_argument(\"number\", help=\"Opis\", nargs=\"+\")\n",
    "args = parser.parse_args()"
   ]
  }
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