{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def plot_hist(file, bins=256):\n", " plt.hist(np.fromfile(file, np.uint8), bins=bins)\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('test100M.bin')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('Koran.txt')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAFKFJREFUeJzt3H+s3fV93/Hnq3agabLMJlwQs53Z7awuJFoMtYi3TFMGFRhS1VQKklEVrIzJVQVbMkVaTPsHbRKkRFvDhkSYaHExVRaHkWRYwSm1KFNUqfwwCQOMw3wLLDh42JmBsEWDmrz3x/lc5cjfc31/2ueee58P6eh8v+/v5/u9n8/9nnNe53y/33NSVUiS1O8Xht0BSdLCYzhIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1LF82B2YrXPPPbfWrl077G5I0kh54oknflxVY1O1G9lwWLt2Lfv37x92NyRppCT5n9Np52ElSVKH4SBJ6jAcJEkdhoMkqWPKcEjyi0keS/LfkxxI8oetvi7Jo0kOJfl6krNa/ew2P96Wr+3b1k2t/lySK/rqm1ttPMmO+R+mJGkmpvPJ4U3g0qr6ELAB2JxkE/Al4NaqWg+8Clzf2l8PvFpV/wC4tbUjyYXAVuADwGbgK0mWJVkG3A5cCVwIXNvaSpKGZMpwqJ7/02bf0W4FXArc1+q7gKvb9JY2T1t+WZK0+u6qerOqXgDGgUvabbyqnq+qt4Ddra0kaUimdc6hvcN/EjgK7AP+Bnitqk60JoeBVW16FfASQFv+OvDe/vpJ60xWlyQNybTCoarerqoNwGp67/TfP6hZu88ky2Za70iyPcn+JPuPHTs2dcclSbMyo6uVquo14L8Bm4AVSSa+Yb0aeLlNHwbWALTlfxc43l8/aZ3J6oP+/p1VtbGqNo6NTfnt7yVt7Y4Hht0FSSNsOlcrjSVZ0abfCfw6cBB4GPh4a7YNuL9N72nztOV/WVXV6lvb1UzrgPXAY8DjwPp29dNZ9E5a75mPwUmSZmc6v610AbCrXVX0C8C9VfXtJM8Cu5N8Afg+cFdrfxfwZ0nG6X1i2ApQVQeS3As8C5wAbqiqtwGS3Ag8CCwDdlbVgXkboSRpxqYMh6p6CrhoQP15eucfTq7/P+CaSbZ1C3DLgPpeYO80+itJOgP8hrQkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1TBkOSdYkeTjJwSQHknyq1f8gyY+SPNluV/Wtc1OS8STPJbmir7651caT7Oirr0vyaJJDSb6e5Kz5Hqgkafqm88nhBPCZqno/sAm4IcmFbdmtVbWh3fYCtGVbgQ8Am4GvJFmWZBlwO3AlcCFwbd92vtS2tR54Fbh+nsYnSZqFKcOhqo5U1ffa9BvAQWDVKVbZAuyuqjer6gVgHLik3car6vmqegvYDWxJEuBS4L62/i7g6tkOSJI0dzM655BkLXAR8Ggr3ZjkqSQ7k6xstVXAS32rHW61yervBV6rqhMn1SVJQzLtcEjybuAbwKer6ifAHcCvABuAI8AfTTQdsHrNoj6oD9uT7E+y/9ixY9PtuiRphqYVDkneQS8YvlpV3wSoqleq6u2q+hnwx/QOG0Hvnf+avtVXAy+fov5jYEWS5SfVO6rqzqraWFUbx8bGptN1SdIsTOdqpQB3AQer6st99Qv6mv0W8Eyb3gNsTXJ2knXAeuAx4HFgfbsy6Sx6J633VFUBDwMfb+tvA+6f27AkSXOxfOomfAT4BPB0kidb7ffoXW20gd4hoBeB3wGoqgNJ7gWepXel0w1V9TZAkhuBB4FlwM6qOtC291lgd5IvAN+nF0aSpCGZMhyq6q8YfF5g7ynWuQW4ZUB976D1qup5fn5YSpI0ZH5DWpLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjqmDIcka5I8nORgkgNJPtXq5yTZl+RQu1/Z6klyW5LxJE8lubhvW9ta+0NJtvXVfy3J022d25LkdAxWkjQ90/nkcAL4TFW9H9gE3JDkQmAH8FBVrQceavMAVwLr2207cAf0wgS4GfgwcAlw80SgtDbb+9bbPPehSZJma8pwqKojVfW9Nv0GcBBYBWwBdrVmu4Cr2/QW4J7qeQRYkeQC4ApgX1Udr6pXgX3A5rbsPVX111VVwD1925IkDcGMzjkkWQtcBDwKnF9VR6AXIMB5rdkq4KW+1Q632qnqhwfUB/397Un2J9l/7NixmXRdkjQD0w6HJO8GvgF8uqp+cqqmA2o1i3q3WHVnVW2sqo1jY2NTdVmSNEvTCock76AXDF+tqm+28ivtkBDt/mirHwbW9K2+Gnh5ivrqAXVJ0pBM52qlAHcBB6vqy32L9gATVxxtA+7vq1/XrlraBLzeDjs9CFyeZGU7EX058GBb9kaSTe1vXde3LUnSECyfRpuPAJ8Ank7yZKv9HvBF4N4k1wM/BK5py/YCVwHjwE+BTwJU1fEknwceb+0+V1XH2/TvAncD7wS+026SpCGZMhyq6q8YfF4A4LIB7Qu4YZJt7QR2DqjvBz44VV8kSWeG35CWJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHVMGQ5JdiY5muSZvtofJPlRkifb7aq+ZTclGU/yXJIr+uqbW208yY6++rokjyY5lOTrSc6azwFKWhzW7nhg2F1YUqbzyeFuYPOA+q1VtaHd9gIkuRDYCnygrfOVJMuSLANuB64ELgSubW0BvtS2tR54Fbh+LgOSJM3dlOFQVd8Fjk9ze1uA3VX1ZlW9AIwDl7TbeFU9X1VvAbuBLUkCXArc19bfBVw9wzFIkubZXM453JjkqXbYaWWrrQJe6mtzuNUmq78XeK2qTpxUl6Sh8PBVz2zD4Q7gV4ANwBHgj1o9A9rWLOoDJdmeZH+S/ceOHZtZjyVJ0zarcKiqV6rq7ar6GfDH9A4bQe+d/5q+pquBl09R/zGwIsnyk+qT/d07q2pjVW0cGxubTdclSdMwq3BIckHf7G8BE1cy7QG2Jjk7yTpgPfAY8Diwvl2ZdBa9k9Z7qqqAh4GPt/W3AffPpk+SpPmzfKoGSb4GfBQ4N8lh4Gbgo0k20DsE9CLwOwBVdSDJvcCzwAnghqp6u23nRuBBYBmws6oOtD/xWWB3ki8A3wfumrfRSZJmZcpwqKprB5QnfQGvqluAWwbU9wJ7B9Sf5+eHpSRJC4DfkJakOVqMVzgZDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQdKSt3bHA4vyW85zYThIkjoMB0lD5Tv2hclwkCR1GA6SpI4lGQ5+jJU0W0vl9WNJhoMk6dQMB0lSh+EgSeowHCQtKn6hbX4YDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdU4ZDkp1JjiZ5pq92TpJ9SQ61+5WtniS3JRlP8lSSi/vW2dbaH0qyra/+a0mebuvcliTzPUhJ0sxM55PD3cDmk2o7gIeqaj3wUJsHuBJY327bgTugFybAzcCHgUuAmycCpbXZ3rfeyX9LknSGTRkOVfVd4PhJ5S3Arja9C7i6r35P9TwCrEhyAXAFsK+qjlfVq8A+YHNb9p6q+uuqKuCevm1J0mnhl+SmNttzDudX1RGAdn9eq68CXuprd7jVTlU/PKAuSRqi+T4hPeh8Qc2iPnjjyfYk+5PsP3bs2Cy7KEmaymzD4ZV2SIh2f7TVDwNr+tqtBl6eor56QH2gqrqzqjZW1caxsbFZdl2SNJXZhsMeYOKKo23A/X3169pVS5uA19thpweBy5OsbCeiLwcebMveSLKpXaV0Xd+2JElDsnyqBkm+BnwUODfJYXpXHX0RuDfJ9cAPgWta873AVcA48FPgkwBVdTzJ54HHW7vPVdXESe7fpXdF1DuB77SbJGmIpgyHqrp2kkWXDWhbwA2TbGcnsHNAfT/wwan6odE0cVXIi1/82JB7Imkm/Ia0JKnDcJAkdRgOkjRLi/nLdIaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJC87EVUBrdzywqK8IWsgMB0lSh+EgSZNYyp9cDAdJUofhIEnqMBwkSR2GgySpw3DQkrBUTypKs2U4SFowDPGFw3CQJHUYDpKkDsNB0sjx8NPpZzjojPEJLY0Ow0GS1GE4SJI6DAdJUofhIEnqmFM4JHkxydNJnkyyv9XOSbIvyaF2v7LVk+S2JONJnkpycd92trX2h5Jsm9uQJC0lXuhweszHJ4d/XlUbqmpjm98BPFRV64GH2jzAlcD6dtsO3AG9MAFuBj4MXALcPBEokqThOB2HlbYAu9r0LuDqvvo91fMIsCLJBcAVwL6qOl5VrwL7gM2noV+SpGmaazgU8BdJnkiyvdXOr6ojAO3+vFZfBbzUt+7hVpusLkkakuVzXP8jVfVykvOAfUl+cIq2GVCrU9S7G+gF0HaA973vfTPtqwT8/Bj1i1/82JB7Ii1cc/rkUFUvt/ujwLfonTN4pR0uot0fbc0PA2v6Vl8NvHyK+qC/d2dVbayqjWNjY3PpuiTpFGYdDkneleTvTEwDlwPPAHuAiSuOtgH3t+k9wHXtqqVNwOvtsNODwOVJVrYT0Ze3miRNm1ctza+5HFY6H/hWkont/Oeq+vMkjwP3Jrke+CFwTWu/F7gKGAd+CnwSoKqOJ/k88Hhr97mqOj6HfkmS5mjW4VBVzwMfGlD/38BlA+oF3DDJtnYCO2fbF0nS/PIb0pKWLA9FTc5wkKR5thhCx3CQJHUYDpKkDsNBktRhOGioFsOxWWkxMhwkSR2GgySdQaPyadlwkCR1GA5LyKi8Y5E0fIaDJJ0mo/yGzHDQgrEQnkhrdzywIPqhpWvQ428Yj0nDQZJOs1F8w2E4SJI6DActaKP4jktaDAwHnRanelGf6wu+gaHZ8HzSzBgOWpB8EmuxW+iPccNBI22hP8GkUWU4aNEwKKT5YzhIkjoMB42EmXwqmGh7uk5A+glFp8NCe1wZDlrSFtoTUlooDIclyhdFSadiOGjeGDjzYzbfEZnu/36+DrUtxX291MZsOEjM7onfv85k09OtnWr5ZC/oc6mdvP2T/87JfRtUn+7fGaaF2KdRYThIp8mgF3VfrDQqFkw4JNmc5Lkk40l2DLs/mh5f7BamhfhTEQutPzq1BREOSZYBtwNXAhcC1ya5cLi9WnqmevJO9/CCpNG3IMIBuAQYr6rnq+otYDewZch9kjQNk53n8A3EaFso4bAKeKlv/nCraY5m8yQ9eR2f5L7YaelJVQ27DyS5Briiqv5lm/8EcElV/auT2m0HtrfZXwWeO6MdnblzgR8PuxPzbLGNabGNBxbfmBbbeGC4Y/r7VTU2VaPlZ6In03AYWNM3vxp4+eRGVXUncOeZ6tRcJdlfVRuH3Y/5tNjGtNjGA4tvTIttPDAaY1ooh5UeB9YnWZfkLGArsGfIfZKkJWtBfHKoqhNJbgQeBJYBO6vqwJC7JUlL1oIIB4Cq2gvsHXY/5tnIHAKbgcU2psU2Hlh8Y1ps44ERGNOCOCEtSVpYFso5B0nSAmI4zJMka5I8nORgkgNJPtXq5yTZl+RQu1857L7ORJJlSb6f5Nttfl2SR9t4vt4uIBgZSVYkuS/JD9q++sejvI+S/Jv2eHsmydeS/OKo7aMkO5McTfJMX23gPknPbe1ndp5KcvHwej7YJOP5d+0x91SSbyVZ0bfspjae55JcMZxedxkO8+cE8Jmqej+wCbih/QTIDuChqloPPNTmR8mngIN9818Cbm3jeRW4fii9mr3/CPx5Vf1D4EP0xjaS+yjJKuBfAxur6oP0LubYyujto7uBzSfVJtsnVwLr2207cMcZ6uNM3E13PPuAD1bVPwL+B3ATQHuN2Ap8oK3zlfZzQkNnOMyTqjpSVd9r02/Qe9FZRe9nQHa1ZruAq4fTw5lLshr4GPAnbT7ApcB9rcmojec9wD8D7gKoqreq6jVGeB/Ru6jknUmWA78EHGHE9lFVfRc4flJ5sn2yBbineh4BViS54Mz0dHoGjaeq/qKqTrTZR+h9lwt649ldVW9W1QvAOL2fExo6w+E0SLIWuAh4FDi/qo5AL0CA84bXsxn7D8C/BX7W5t8LvNb3IB+1nzn5ZeAY8KftUNmfJHkXI7qPqupHwL8HfkgvFF4HnmC099GEyfbJYvipnX8BfKdNL9jxGA7zLMm7gW8An66qnwy7P7OV5DeAo1X1RH95QNNRutxtOXAxcEdVXQT8X0bkENIg7Tj8FmAd8PeAd9E77HKyUdpHUxnpx2CS36d3CPqrE6UBzRbEeAyHeZTkHfSC4atV9c1WfmXiY2+7Pzqs/s3QR4DfTPIivV/JvZTeJ4kV7RAGTPIzJwvYYeBwVT3a5u+jFxajuo9+HXihqo5V1d8C3wT+CaO9jyZMtk+m9VM7C1GSbcBvAL9dP/8OwYIdj+EwT9rx+LuAg1X15b5Fe4BtbXobcP+Z7ttsVNVNVbW6qtbSO2H2l1X128DDwMdbs5EZD0BV/S/gpSS/2kqXAc8yovuI3uGkTUl+qT3+JsYzsvuoz2T7ZA9wXbtqaRPw+sThp4UsyWbgs8BvVtVP+xbtAbYmOTvJOnon2h8bRh87qsrbPNyAf0rv4+BTwJPtdhW94/QPAYfa/TnD7ussxvZR4Ntt+pfpPXjHgf8CnD3s/s1wLBuA/W0//Vdg5SjvI+APgR8AzwB/Bpw9avsI+Bq9cyZ/S++d9PWT7RN6h2FuB/4GeJrelVpDH8M0xjNO79zCxGvDf+pr//ttPM8BVw67/xM3vyEtSerwsJIkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHf8fgm80lgz08YMAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('xor_vs_aes.html')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('/bin/sh')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/bin/sh: symbolic link to bash\r\n" ] } ], "source": [ "!file '/bin/sh'" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('/bin/grep')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('/home/deadeye/Dokumente/UserManual_ST200.pdf')\n", "# sieht so nach kompression aus..." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "import requests\n", "from IPython.display import display, HTML" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", " \n", " \n", " \n", " heise online - IT-News, Nachrichten und Hintergründe\n", " heise online\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " \n", " \n", "
\n", "
\n", "
\n", "
\n", "
\n", "
\n", "\n", "\n", "\n", "\n", "\n", "
\n", " \n", "\n", "\n", "
\n", "
\n", "
\n", " \n", " \n", "
\n", "\n", "
\n", "\n", "\n", "
\n", "
\n", " \n", " \n", "
\n", "\n", "
\n", "
\n", "\n", "\n", "
\n", "\n", "
\n", " \n", "
\n", "
\n", "\n", " \n", " \n", " \n", " \n", "
\n", " \n", " Menü\n", "
\n", "
\n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "
\n", " \n", " \n", " IT-News\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " Magazine\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " Online-Magazine\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " Services\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " Heise Medien\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "
\n", "\n", "\n", " \n", "\n", "
\n", " \n", "\n", " \n", "\n", "\n", "\n", "
\n", " \n", "\n", " \n", "\n", "
\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "
\n", "\n", "\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "
\n", "\n", "\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
\n", "\n", " \n", "\n", "\n", "
\n", " \n", "\n", "

\n", " News\n", "

\n", "\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "
\n", "\n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " IT\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Entertainment\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Mobiles\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Netzpolitik\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", " \n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Wirtschaft\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Wissen\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", "\n", "
\n", " \n", "
\n", " \n", "

\n", " Journal\n", "

\n", " \n", "
\n", "
\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", " \n", "
\n", "\n", " \n", " \n", "\n", "

\n", " Fehlt eine wichtige Nachricht? Geben Sie uns Bescheid!\n", "

\n", "\n", " \n", "\n", "\n", "
\n", "\n", "\n", " \n", "\n", "
Anzeige
\n", " \n", " \n", "
\n", "
\n", "\n", "\n", "\n", " \n", " \n", "
\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", "
\n", "

Anzeige

\n", "
\n", "
Der Stellenmarkt auf heise online.
\n", "
\n", " \n", "
\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", "
\n", " \n", "

\n", " Video-Tipp\n", "

\n", "
\n", "
\n", "\n", "
\n", " \n", "\n", " \n", " \n", " \n", " \n", "\n", "
\n", "\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " \n", " \n", " \n", "\n", " \n", "\n", "
\n", "\n", "\n", "\n", "
\n", "\n", " \n", " \n", "
\n", "\n", "\n", " \n", " Kurz informiert vom 25.06.2018: Firebase, Blockchain, TV Now, Pikes Peak \n", " \n", "
\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", "
\n", "
\n", " \n", " \n", " \n", " \n", " Anzeige\n", " \n", "
\n", "\n", " \n", " \n", "
\n", " \n", " \"Samsung\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " Samsung SSD 860 EVO 1TB\n", " \n", "
\n", " \n", " ab 188,95 €\n", " \n", " \n", " Solid State Drives (SSD)\n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \"Samsung\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " Samsung SSD 860 EVO 500GB\n", " \n", "
\n", " \n", " ab 103,84 €\n", " \n", " \n", " Solid State Drives (SSD)\n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \"Intel\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " Intel Core i7-8700K\n", " \n", "
\n", " \n", " ab 323,18 €\n", " \n", " \n", " Intel\n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \"Intel\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " Intel Core i7-8086K Limited Edition\n", " \n", "
\n", " \n", " ab 417,94 €\n", " \n", " \n", " Intel\n", " \n", "
\n", "
\n", " \n", " \n", "
\n", " \n", " \"AMD\n", " \n", "
\n", "\n", "
\n", "
\n", " \n", " AMD Ryzen 7 2700X\n", " \n", "
\n", " \n", " ab 315,90 €\n", " \n", " \n", " AMD\n", " \n", "
\n", "
\n", " \n", "\n", "
\n", " \n", " \n", " \n", "
\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", "
\n", " Anzeige\n", "

\n", " \"\"\n", "

\n", "
\n", "\n", " \n", "
\n", " Anzeige\n", " \n", "
\n", " \n", " \n", "
\n", " Anzeige\n", "

\n", " \"\"\n", "

\n", "
\n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", "
\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", "\n", " \n", " \n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", " \n", "
\n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "
\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", "
\n", "
\n", " Anzeige\n", " \n", "
\n", "\n", "
\n", "\n", " \n", "
\n", " \n", " \n", " nach oben\n", "
\n", " \n", "\n", " \n", "\n", " \n", " \n", "\n", " \n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", "
\"\"
\n", "\n", " \n", "\n", " \n", " \n", "\n", "\n", " \n", " \n", " \n", "\n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", "\n", " \n", " \n", " \n", "\n", "\n", " \n", "\n", "\n", "\n", "\n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "req = requests.get('http://heise.de')\n", "display(HTML(req.text))" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n", " \n", " \n", " \n", " heise online - IT-News, Nachrichten und Hintergründe\n", " heise online\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.hist(heise_data, bins=256)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAD8CAYAAACcjGjIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAFWpJREFUeJzt3W2snOV95/Hvr3ZgoyZdIBiEjFnT1FrFqVRCLWIpq2qbrMDQFyZSIsGLYkVIXlUgJbtdKU77gmzSSKFSEgmJIBFhxVTZEJQHYW2cUosliiqFB5MSwPFSnxI2OLaArAmhikSW5L8v5nKZ+p5zzpzHefp+pNHM/Oe651zXfd9nfnM/nPukqpAkqd9vjboDkqTxYzhIkjoMB0lSh+EgSeowHCRJHYaDJKlj0XBI8m+SPJbkh0mOJvnvrX55kkeTHE/ytSTntPq57flce31r33t9otWfTXJNX31Xq80l2bf6w5QkLcUwWw6vA++vqj8ArgB2JdkJ3A58oaq2Aa8AN7f2NwOvVNXvAV9o7UiyHbgBeDewC/hikg1JNgB3AtcC24EbW1tJ0ogsGg7V88/t6VvarYD3A19v9QPA9e3x7vac9voHkqTV76uq16vqx8AccFW7zVXVc1X1K+C+1laSNCIbh2nUvt0/AfwevW/5/wT8vKreaE1OAJvb483ACwBV9UaSV4F3tPojfW/bP80LZ9Xfu1ifLrzwwtq6desw3ZckNU888cTPqmrTYu2GCoeq+jVwRZLzgG8B7xrUrN1nntfmqw/aehl4TY8ke4G9AJdddhlHjhxZpOeSpH5J/s8w7ZZ0tlJV/Rz4LrATOC/JmXC5FDjZHp8AtrRObAT+LXC6v37WNPPVB/38u6tqR1Xt2LRp0eCTJC3TMGcrbWpbDCR5K/CfgGPAw8CHWrM9wAPt8cH2nPb6/6re1f0OAje0s5kuB7YBjwGPA9va2U/n0DtofXA1BidJWp5hditdAhxoxx1+C7i/qv5nkh8B9yX5K+AfgHta+3uAv0kyR2+L4QaAqjqa5H7gR8AbwC1tdxVJbgUeBDYA+6vq6KqNUJK0ZJnUS3bv2LGjPOYgSUuT5Imq2rFYO/9CWpLUYThIkjoMB0lSh+EgSeowHCRJHTMZDlv3fXvUXZCksTaT4SBJWpjhIEnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdSwaDkm2JHk4ybEkR5N8tNU/meSnSZ5st+v6pvlEkrkkzya5pq++q9Xmkuzrq1+e5NEkx5N8Lck5qz1QSdLwhtlyeAP486p6F7ATuCXJ9vbaF6rqinY7BNBeuwF4N7AL+GKSDUk2AHcC1wLbgRv73uf29l7bgFeAm1dpfJKkZVg0HKrqVFX9oD1+DTgGbF5gkt3AfVX1elX9GJgDrmq3uap6rqp+BdwH7E4S4P3A19v0B4DrlzsgSdLKLemYQ5KtwHuAR1vp1iRPJdmf5PxW2wy80DfZiVabr/4O4OdV9cZZdUnSiAwdDkneBnwD+FhV/QK4C3gncAVwCvjcmaYDJq9l1Af1YW+SI0mOvPzyy8N2XZK0REOFQ5K30AuGr1TVNwGq6sWq+nVV/Qb4Er3dRtD75r+lb/JLgZML1H8GnJdk41n1jqq6u6p2VNWOTZs2DdN1SdIyDHO2UoB7gGNV9fm++iV9zT4IPNMeHwRuSHJuksuBbcBjwOPAtnZm0jn0DlofrKoCHgY+1KbfAzywsmFJklZi4+JNeB/wp8DTSZ5stb+gd7bRFfR2AT0P/GeAqjqa5H7gR/TOdLqlqn4NkORW4EFgA7C/qo629/s4cF+SvwL+gV4YSZJGZNFwqKq/Z/BxgUMLTPMZ4DMD6ocGTVdVz/HmbilJ0oj5F9KSpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSx6LhkGRLkoeTHEtyNMlHW/2CJIeTHG/357d6ktyRZC7JU0mu7HuvPa398SR7+up/mOTpNs0dSbIWg5UkDWeYLYc3gD+vqncBO4FbkmwH9gEPVdU24KH2HOBaYFu77QXugl6YALcB7wWuAm47Eyitzd6+6XatfGiSpOVaNByq6lRV/aA9fg04BmwGdgMHWrMDwPXt8W7g3up5BDgvySXANcDhqjpdVa8Ah4Fd7bXfqarvV1UB9/a9lyRpBJZ0zCHJVuA9wKPAxVV1CnoBAlzUmm0GXuib7ESrLVQ/MaA+6OfvTXIkyZGXX355KV2XJC3B0OGQ5G3AN4CPVdUvFmo6oFbLqHeLVXdX1Y6q2rFp06bFuixJWqahwiHJW+gFw1eq6put/GLbJUS7f6nVTwBb+ia/FDi5SP3SAXVJ0ogMc7ZSgHuAY1X1+b6XDgJnzjjaAzzQV7+pnbW0E3i17XZ6ELg6yfntQPTVwIPttdeS7Gw/66a+95IkjcDGIdq8D/hT4OkkT7baXwCfBe5PcjPwE+DD7bVDwHXAHPBL4CMAVXU6yaeBx1u7T1XV6fb4z4AvA28FvtNukqQRWTQcqurvGXxcAOADA9oXcMs877Uf2D+gfgT4/cX6sp627vs2AM9/9k8WbbdYG0maNP6FtCSpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjoMh3Wwdd+3/+Uqr5I0CQwHSVKH4SBJ6jAcJEkdhoMkLdM0H0s0HDQ0D6xLs8NwkCR1GA6SpA7DQVoH7o7TpDEcJEkdhoMkqcNwkCR1GA5jxn3TksaB4SBJ6lg0HJLsT/JSkmf6ap9M8tMkT7bbdX2vfSLJXJJnk1zTV9/VanNJ9vXVL0/yaJLjSb6W5JzVHKAkaemG2XL4MrBrQP0LVXVFux0CSLIduAF4d5vmi0k2JNkA3AlcC2wHbmxtAW5v77UNeAW4eSUDkiSt3KLhUFXfA04P+X67gfuq6vWq+jEwB1zVbnNV9VxV/Qq4D9idJMD7ga+36Q8A1y9xDNJUGNXlSTzOpUFWcszh1iRPtd1O57faZuCFvjYnWm2++juAn1fVG2fVB0qyN8mRJEdefvnlFXRd0iSYtOt5TVp/F7LccLgLeCdwBXAK+FyrZ0DbWkZ9oKq6u6p2VNWOTZs2La3HkjTAtHyYr7ZlhUNVvVhVv66q3wBforfbCHrf/Lf0Nb0UOLlA/WfAeUk2nlWXlsxf8tU1DfNz0BimYVzrYVnhkOSSvqcfBM6cyXQQuCHJuUkuB7YBjwGPA9vamUnn0DtofbCqCngY+FCbfg/wwHL6JEmTYhICaphTWb8KfB/490lOJLkZ+OskTyd5Cvhj4L8AVNVR4H7gR8DfAre0LYw3gFuBB4FjwP2tLcDHgf+aZI7eMYh7VnWEWneTsOJr+ozrejdsv8at/xsXa1BVNw4oz/sBXlWfAT4zoH4IODSg/hxv7paSJI0B/0JaIzFNZ3Vo/XnK79ozHCRJHYaDxsKsfSuTxp3hIE2YWQzS9R7zLM7jsxkOU8wVXKtpmPXJS4BMD8Nhwgz7y+cvi5ZiUk+3nGajPmnDcJghZ69oo175tDIuu9kximVtOEwBPyTWzjTM22kYg9af4aCp4/V0xo/zf/IYDhpbo/xA8cNMs85wmFCT/OE1Ln0fl36spjNjGvfjSePcN/UYDmvAFX+6rcfynYV1aBzHuJp9WouzCtdznhkOY2Qcf1lGrX+ejPu3YWmaGA76V2b5w3c1xj7L80/TxXDQRBvnzXKNjzNbnZO8/Ne774ZDM67XbpnklRmme1fQtI5rqVayLo/jacej/vnjwnDQsvlL9KaVzAvno8aR4aAFudumZ5q3gBay3K2CWZ1fq2Fc5pvhsATjstA0uWZxHZrFMU8Dw0GaAYO+2S+l/VKm1ZuWO6/GYR4bDhqLFXEarPV8dDmNh9VeDuO6C85w0NTyf19M99hWynmzMMNB0kTzQ35tbBx1B6SlOvNh8Pxn/2TEPZntD6ZZHvvZtu779lisj6vJLQdNhLW6tMVydztNwwFbTz9d32U1afN3ZsNh3BbSuPVnMf2Xhl7t95x1w8xb55XWmruV9C9G9YEzrpcukeaz3lsco7DolkOS/UleSvJMX+2CJIeTHG/357d6ktyRZC7JU0mu7JtmT2t/PMmevvofJnm6TXNHkqz2IGfNSlem1bpI2Wqt1Mt5n7X6hVrK+673boS12JrT8KZtvg+zW+nLwK6zavuAh6pqG/BQew5wLbCt3fYCd0EvTIDbgPcCVwG3nQmU1mZv33Rn/6yxNwvnPa9Xf8Zp7OPSj4WM0/waF86T1bHobqWq+l6SrWeVdwP/sT0+AHwX+Hir31tVBTyS5Lwkl7S2h6vqNECSw8CuJN8Ffqeqvt/q9wLXA99ZyaC0uFHtyjn7jI5x+yVe72/6632Gy6jnt/8zY3Is95jDxVV1CqCqTiW5qNU3Ay/0tTvRagvVTwyoD5RkL72tDC677LJldn31TNJKupLLJYzCuPVnrc3aeIcxaevsUo17/1f7gPSg4wW1jPpAVXU3cDfAjh075m03rPX45jbMNW3WciWZhW9q496/STdO83ec+rKQaTjTbLmnsr7YdhfR7l9q9RPAlr52lwInF6lfOqCuIazmefuTaFrGsRTzjXkW58U0GqfluNxwOAicOeNoD/BAX/2mdtbSTuDVtvvpQeDqJOe3A9FXAw+2115LsrOdpXRT33uNzDgtoNW2FmMbdABwmuehVp8HkcfPoruVknyV3gHlC5OcoHfW0WeB+5PcDPwE+HBrfgi4DpgDfgl8BKCqTif5NPB4a/epMwengT+jd0bUW+kdiB7Lg9Fr9aGq1TXOW1OeajrYOMyPlfRhHPq/FoY5W+nGeV76wIC2Bdwyz/vsB/YPqB8Bfn+xfozKSo5LrMe36XH6wBmHPmh0xm35r8bf6Uzb9ZKWYub/Qnq1/1BrNVcmd9VMh3H5Y8JJsF5b6MP+nNX6vZ7EZTiz11ZaqUlc2Ktllse+2pyXk2EWl5PhsMrG4bIN0qzy92T1zPxupbMttgk6ipVvmlb4aRqL1s64rifj2q+14JaDJKnDcOgzS98KNBlcJ9/kvFhfhoM0w5b7gbvUs300eQyHNeIvxWxz+WvSGQ6SpA7DQdK/4laPwHCQZoYf+loKw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpI4VhUOS55M8neTJJEda7YIkh5Mcb/fnt3qS3JFkLslTSa7se589rf3xJHtWNiRJ0kqtxpbDH1fVFVW1oz3fBzxUVduAh9pzgGuBbe22F7gLemEC3Aa8F7gKuO1MoEiSRmMtdivtBg60xweA6/vq91bPI8B5SS4BrgEOV9XpqnoFOAzsWoN+SZKGtNJwKODvkjyRZG+rXVxVpwDa/UWtvhl4oW/aE602X12SNCIbVzj9+6rqZJKLgMNJ/vcCbTOgVgvUu2/QC6C9AJdddtlS+ypJGtKKthyq6mS7fwn4Fr1jBi+23UW0+5da8xPAlr7JLwVOLlAf9PPurqodVbVj06ZNK+m6JGkByw6HJL+d5O1nHgNXA88AB4EzZxztAR5ojw8CN7WzlnYCr7bdTg8CVyc5vx2IvrrVJEkjspLdShcD30py5n3+R1X9bZLHgfuT3Az8BPhwa38IuA6YA34JfASgqk4n+TTweGv3qao6vYJ+SZJWaNnhUFXPAX8woP5/gQ8MqBdwyzzvtR/Yv9y+SJJWl38hLUnqMBwkSR2GgySpw3CQJHUYDpKkDsNBktRhOEiSOgwHSVKH4SBJ6jAcJEkdhoMkqcNwkCR1GA6SpA7DQZLUYThIkjoMB0lSh+EgSeowHCRJHYaDJKnDcJAkdRgOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySpY2zCIcmuJM8mmUuyb9T9kaRZNhbhkGQDcCdwLbAduDHJ9tH2SpJm11iEA3AVMFdVz1XVr4D7gN0j7pMkzaxxCYfNwAt9z0+0miRpBDaOugNNBtSq0yjZC+xtT/85ybPL/HkXAj9b5rSTaJbGO0tjBcc7zQaONbev+H3/3TCNxiUcTgBb+p5fCpw8u1FV3Q3cvdIfluRIVe1Y6ftMilka7yyNFRzvNBv1WMdlt9LjwLYklyc5B7gBODjiPknSzBqLLYeqeiPJrcCDwAZgf1UdHXG3JGlmjUU4AFTVIeDQOv24Fe+amjCzNN5ZGis43mk20rGmqnPcV5I048blmIMkaYzMVDjMwiU6kjyf5OkkTyY50moXJDmc5Hi7P3/U/VyuJPuTvJTkmb7awPGl5462vJ9KcuXoer4884z3k0l+2pbxk0mu63vtE228zya5ZjS9Xp4kW5I8nORYkqNJPtrqU7l8FxjveCzfqpqJG70D3f8E/C5wDvBDYPuo+7UG43weuPCs2l8D+9rjfcDto+7nCsb3R8CVwDOLjQ+4DvgOvb+j2Qk8Our+r9J4Pwn8twFtt7f1+lzg8ra+bxj1GJYw1kuAK9vjtwP/2MY0lct3gfGOxfKdpS2HWb5Ex27gQHt8ALh+hH1Zkar6HnD6rPJ849sN3Fs9jwDnJblkfXq6OuYZ73x2A/dV1etV9WNgjt56PxGq6lRV/aA9fg04Ru9KCVO5fBcY73zWdfnOUjjMyiU6Cvi7JE+0vygHuLiqTkFvhQQuGlnv1sZ845vmZX5r25Wyv2834dSMN8lW4D3Ao8zA8j1rvDAGy3eWwmGoS3RMgfdV1ZX0rnB7S5I/GnWHRmhal/ldwDuBK4BTwOdafSrGm+RtwDeAj1XVLxZqOqA2DeMdi+U7S+Ew1CU6Jl1VnWz3LwHforfZ+eKZze12/9Loergm5hvfVC7zqnqxqn5dVb8BvsSbuxYmfrxJ3kLvg/IrVfXNVp7a5TtovOOyfGcpHKb+Eh1JfjvJ2888Bq4GnqE3zj2t2R7ggdH0cM3MN76DwE3trJadwKtndk9MsrP2q3+Q3jKG3nhvSHJuksuBbcBj692/5UoS4B7gWFV9vu+lqVy+8413bJbvqI/Yr+eN3tkN/0jvKP9fjro/azC+36V3NsMPgaNnxgi8A3gION7uLxh1X1cwxq/S29T+f/S+Sd083/jobYbf2Zb308COUfd/lcb7N208T9H7wLikr/1ftvE+C1w76v4vcaz/gd5ukqeAJ9vtumldvguMdyyWr38hLUnqmKXdSpKkIRkOkqQOw0GS1GE4SJI6DAdJUofhIEnqMBwkSR2GgySp4/8DgtC2G0tivhQAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_hist('../Pictures/Screenshot_20170924_212201.png')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.5" } }, "nbformat": 4, "nbformat_minor": 2 }