diff --git a/nb/presentation.ipynb b/nb/presentation.ipynb
deleted file mode 100644
index 764779e..0000000
--- a/nb/presentation.ipynb
+++ /dev/null
@@ -1,122 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "571e9d1b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pystatis"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d580984f",
-   "metadata": {},
-   "source": [
-    "# Pystatis presentation\n",
-    "\n",
-    "`pystatis` is a small Python library to conveniently wrap the different GENESIS web services (APIs) in a centralized and user-friendly manner.\n",
-    "\n",
-    "It allows users to browse the different databases and download the desired tables from all supported databases in a convenient `pandas` `DataFrame` object, suited for further analysis."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "62b9f397",
-   "metadata": {},
-   "source": [
-    "## Setup\n",
-    "\n",
-    "We won't cover the initial only-once setup here because the user has to enter their credentials for the supported databases (GENESIS, Regionalstatistik, Zensus). But there is a dedicated notebook [Setup](./00_Setup.ipynb) with examples and explanations."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cbe657a8",
-   "metadata": {},
-   "source": [
-    "## Main Use Cases"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "90350387",
-   "metadata": {},
-   "source": [
-    "### Find"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "354d61d3",
-   "metadata": {},
-   "source": [
-    "### Table"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "fe99d7cd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "t = pystatis.Table(name=\"12111-01-01-5-B\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "69b87edb",
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "PystatisConfigError",
-     "evalue": "No active database set! Please run `set_db()`.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mPystatisConfigError\u001b[0m                       Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/table.py:37\u001b[0m, in \u001b[0;36mTable.get_data\u001b[0;34m(self, area, **kwargs)\u001b[0m\n\u001b[1;32m     33\u001b[0m params \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mname\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124marea\u001b[39m\u001b[38;5;124m\"\u001b[39m: area, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mffcsv\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m     35\u001b[0m params \u001b[38;5;241m|\u001b[39m\u001b[38;5;241m=\u001b[39m kwargs\n\u001b[0;32m---> 37\u001b[0m raw_data \u001b[38;5;241m=\u001b[39m \u001b[43mload_data\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     38\u001b[0m \u001b[43m    \u001b[49m\u001b[43mendpoint\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtablefile\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mas_json\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\n\u001b[1;32m     39\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     40\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(raw_data, \u001b[38;5;28mstr\u001b[39m)  \u001b[38;5;66;03m# nosec assert_used\u001b[39;00m\n\u001b[1;32m     41\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mraw_data \u001b[38;5;241m=\u001b[39m raw_data\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/http_helper.py:51\u001b[0m, in \u001b[0;36mload_data\u001b[0;34m(endpoint, method, params, as_json)\u001b[0m\n\u001b[1;32m     49\u001b[0m     data \u001b[38;5;241m=\u001b[39m read_from_cache(cache_dir, name, params)\n\u001b[1;32m     50\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 51\u001b[0m     response \u001b[38;5;241m=\u001b[39m \u001b[43mget_data_from_endpoint\u001b[49m\u001b[43m(\u001b[49m\u001b[43mendpoint\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmethod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     52\u001b[0m     data \u001b[38;5;241m=\u001b[39m response\u001b[38;5;241m.\u001b[39mtext\n\u001b[1;32m     54\u001b[0m     \u001b[38;5;66;03m# status code 98 means that the table is too big\u001b[39;00m\n\u001b[1;32m     55\u001b[0m     \u001b[38;5;66;03m# we have to start a job and wait for it to be ready\u001b[39;00m\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/http_helper.py:95\u001b[0m, in \u001b[0;36mget_data_from_endpoint\u001b[0;34m(endpoint, method, params)\u001b[0m\n\u001b[1;32m     80\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_data_from_endpoint\u001b[39m(\n\u001b[1;32m     81\u001b[0m     endpoint: \u001b[38;5;28mstr\u001b[39m, method: \u001b[38;5;28mstr\u001b[39m, params: \u001b[38;5;28mdict\u001b[39m\n\u001b[1;32m     82\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m requests\u001b[38;5;241m.\u001b[39mResponse:\n\u001b[1;32m     83\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     84\u001b[0m \u001b[38;5;124;03m    Wrapper method which constructs an url for querying data from Destatis and\u001b[39;00m\n\u001b[1;32m     85\u001b[0m \u001b[38;5;124;03m    sends a GET request.\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     93\u001b[0m \u001b[38;5;124;03m        requests.Response: the response object holding the response from calling the Destatis endpoint.\u001b[39;00m\n\u001b[1;32m     94\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m---> 95\u001b[0m     db_host, db_user, db_pw \u001b[38;5;241m=\u001b[39m \u001b[43mdb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_db_settings\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     96\u001b[0m     url \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdb_host\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mendpoint\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmethod\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     98\u001b[0m     \u001b[38;5;66;03m# params is used to calculate hash for caching so don't alter params dict here!\u001b[39;00m\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/db.py:61\u001b[0m, in \u001b[0;36mget_db_settings\u001b[0;34m()\u001b[0m\n\u001b[1;32m     59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_db_settings\u001b[39m() \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mtuple\u001b[39m[\u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m, \u001b[38;5;28mstr\u001b[39m]:\n\u001b[1;32m     60\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Get the active database settings (host, user, password).\"\"\"\u001b[39;00m\n\u001b[0;32m---> 61\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mget_db_host\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m, get_db_user(), get_db_pw()\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/db.py:43\u001b[0m, in \u001b[0;36mget_db_host\u001b[0;34m()\u001b[0m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_db_host\u001b[39m() \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[0;32m---> 43\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m config\u001b[38;5;241m.\u001b[39mconfig[\u001b[43mget_db\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbase_url\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
-      "File \u001b[0;32m~/git/github/CorrelAid/pystatis/src/pystatis/db.py:35\u001b[0m, in \u001b[0;36mget_db\u001b[0;34m()\u001b[0m\n\u001b[1;32m     32\u001b[0m active_db \u001b[38;5;241m=\u001b[39m config\u001b[38;5;241m.\u001b[39mconfig\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msettings\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mactive_db\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m     34\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m active_db:\n\u001b[0;32m---> 35\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m PystatisConfigError(\n\u001b[1;32m     36\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo active database set! Please run `set_db()`.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     37\u001b[0m     )\n\u001b[1;32m     39\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m active_db\n",
-      "\u001b[0;31mPystatisConfigError\u001b[0m: No active database set! Please run `set_db()`."
-     ]
-    }
-   ],
-   "source": [
-    "t.get_data()"
-   ]
-  }
- ],
- "metadata": {
-  "jupytext": {
-   "formats": "ipynb,py:percent"
-  },
-  "kernelspec": {
-   "display_name": "pystatis",
-   "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": "3.11.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}