diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..3319e31e869876559896347734d7946c4cbb113b
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,85 @@
+astroid==2.3.3
+astropy==4.0
+attr==0.3.1
+attrs==19.3.0
+backcall==0.1.0
+bleach==3.1.3
+certifi==2019.11.28
+chardet==3.0.4
+confuse==1.0.0
+cycler==0.10.0
+decorator==4.4.2
+defusedxml==0.6.0
+entrypoints==0.3
+htmlmin==0.1.12
+idna==2.8
+ipykernel==5.1.4
+ipython==7.13.0
+ipython-genutils==0.2.0
+ipywidgets==7.5.1
+isort==4.3.21
+jedi==0.16.0
+Jinja2==2.11.1
+joblib==0.14.1
+jsonschema==3.2.0
+jupyter-client==6.0.0
+jupyter-core==4.6.1
+kaggle==1.5.6
+kiwisolver==1.1.0
+lazy-object-proxy==1.4.3
+llvmlite==0.31.0
+MarkupSafe==1.1.1
+matplotlib==3.2.0
+mccabe==0.6.1
+missingno==0.4.2
+mistune==0.8.4
+more-itertools==8.2.0
+nbconvert==5.6.1
+nbformat==5.0.4
+networkx==2.4
+notebook==6.0.3
+numba==0.48.0
+numpy==1.18.2
+packaging==20.3
+pandas==0.25.3
+pandas-profiling==2.5.0
+pandocfilters==1.4.2
+parso==0.6.2
+pexpect==4.8.0
+phik==0.9.9
+pickleshare==0.7.5
+pluggy==0.13.1
+prometheus-client==0.7.1
+prompt-toolkit==3.0.3
+ptyprocess==0.6.0
+py==1.8.1
+Pygments==2.6.1
+pylint==2.4.4
+pyparsing==2.4.6
+pyrsistent==0.15.7
+pytest==5.4.1
+pytest-pylint==0.15.1
+python-dateutil==2.8.1
+python-slugify==4.0.0
+pytz==2019.3
+PyYAML==5.3
+pyzmq==18.1.1
+requests==2.22.0
+scipy==1.4.1
+seaborn==0.10.0
+Send2Trash==1.5.0
+six==1.14.0
+slurm2sql==0.9.0
+tangled-up-in-unicode==0.0.3
+terminado==0.8.3
+testpath==0.4.4
+text-unidecode==1.3
+tornado==6.0.4
+tqdm==4.42.0
+traitlets==4.3.3
+urllib3==1.25.8
+visions==0.2.2
+wcwidth==0.1.8
+webencodings==0.5.1
+widgetsnbextension==3.5.1
+wrapt==1.11.2
diff --git a/slurm-2sql.ipynb b/slurm-2sql.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f2608ac87140174fb649f902e4175ef7b5bfc8eb
--- /dev/null
+++ b/slurm-2sql.ipynb
@@ -0,0 +1,290 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import sqlite3\n",
+ "import slurm2sql\n",
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "0"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "db = sqlite3.connect('test.db')\n",
+ "slurm2sql.slurm2sql(db, ['-S', '2020-03-18', '-a'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# For example, you can then convert to a dataframe:\n",
+ "df1 = pd.read_sql('SELECT * FROM slurm', db)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "<div>\n",
+ "<style scoped>\n",
+ " .dataframe tbody tr th:only-of-type {\n",
+ " vertical-align: middle;\n",
+ " }\n",
+ "\n",
+ " .dataframe tbody tr th {\n",
+ " vertical-align: top;\n",
+ " }\n",
+ "\n",
+ " .dataframe thead th {\n",
+ " text-align: right;\n",
+ " }\n",
+ "</style>\n",
+ "<table border=\"1\" class=\"dataframe\">\n",
+ " <thead>\n",
+ " <tr style=\"text-align: right;\">\n",
+ " <th></th>\n",
+ " <th>JobID</th>\n",
+ " <th>ArrayJobID</th>\n",
+ " <th>ArrayTaskID</th>\n",
+ " <th>JobStep</th>\n",
+ " <th>JobIDSlurm</th>\n",
+ " <th>JobName</th>\n",
+ " <th>User</th>\n",
+ " <th>Group</th>\n",
+ " <th>Account</th>\n",
+ " <th>State</th>\n",
+ " <th>...</th>\n",
+ " <th>MaxDiskReadNode</th>\n",
+ " <th>MaxDiskReadTask</th>\n",
+ " <th>MaxDiskWrite</th>\n",
+ " <th>MaxDiskWriteNode</th>\n",
+ " <th>MaxDiskWriteTask</th>\n",
+ " <th>ReqGPUS</th>\n",
+ " <th>Comment</th>\n",
+ " <th>GPUMem</th>\n",
+ " <th>GPUEff</th>\n",
+ " <th>NGPU</th>\n",
+ " </tr>\n",
+ " </thead>\n",
+ " <tbody>\n",
+ " <tr>\n",
+ " <th>0</th>\n",
+ " <td>3319116</td>\n",
+ " <td>3319116</td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>3319116_[43-45,47%5]</td>\n",
+ " <td>1mUD1MPa</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>PENDING</td>\n",
+ " <td>...</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>1</th>\n",
+ " <td>3927198</td>\n",
+ " <td>3887451</td>\n",
+ " <td>30.0</td>\n",
+ " <td>None</td>\n",
+ " <td>3887451_30</td>\n",
+ " <td>100kCrC20MPa</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>COMPLETED</td>\n",
+ " <td>...</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>2</th>\n",
+ " <td>3927198</td>\n",
+ " <td>3887451</td>\n",
+ " <td>30.0</td>\n",
+ " <td>batch</td>\n",
+ " <td>3887451_30.batch</td>\n",
+ " <td>batch</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>user</td>\n",
+ " <td>COMPLETED</td>\n",
+ " <td>...</td>\n",
+ " <td>c0088</td>\n",
+ " <td>0</td>\n",
+ " <td>1.222336e+10</td>\n",
+ " <td>c0088</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>3</th>\n",
+ " <td>3927198</td>\n",
+ " <td>3887451</td>\n",
+ " <td>30.0</td>\n",
+ " <td>extern</td>\n",
+ " <td>3887451_30.extern</td>\n",
+ " <td>extern</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>user</td>\n",
+ " <td>COMPLETED</td>\n",
+ " <td>...</td>\n",
+ " <td>c0088</td>\n",
+ " <td>0</td>\n",
+ " <td>0.000000e+00</td>\n",
+ " <td>c0088</td>\n",
+ " <td>0</td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <th>4</th>\n",
+ " <td>3927199</td>\n",
+ " <td>3887451</td>\n",
+ " <td>31.0</td>\n",
+ " <td>None</td>\n",
+ " <td>3887451_31</td>\n",
+ " <td>100kCrC20MPa</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>user</td>\n",
+ " <td>COMPLETED</td>\n",
+ " <td>...</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td></td>\n",
+ " <td></td>\n",
+ " <td>NaN</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ " </tbody>\n",
+ "</table>\n",
+ "<p>5 rows × 63 columns</p>\n",
+ "</div>"
+ ],
+ "text/plain": [
+ " JobID ArrayJobID ArrayTaskID JobStep JobIDSlurm \\\n",
+ "0 3319116 3319116 NaN None 3319116_[43-45,47%5] \n",
+ "1 3927198 3887451 30.0 None 3887451_30 \n",
+ "2 3927198 3887451 30.0 batch 3887451_30.batch \n",
+ "3 3927198 3887451 30.0 extern 3887451_30.extern \n",
+ "4 3927199 3887451 31.0 None 3887451_31 \n",
+ "\n",
+ " JobName User Group Account State ... \\\n",
+ "0 1mUD1MPa user user user PENDING ... \n",
+ "1 100kCrC20MPa user user user COMPLETED ... \n",
+ "2 batch user COMPLETED ... \n",
+ "3 extern user COMPLETED ... \n",
+ "4 100kCrC20MPa user user user COMPLETED ... \n",
+ "\n",
+ " MaxDiskReadNode MaxDiskReadTask MaxDiskWrite MaxDiskWriteNode \\\n",
+ "0 NaN \n",
+ "1 NaN \n",
+ "2 c0088 0 1.222336e+10 c0088 \n",
+ "3 c0088 0 0.000000e+00 c0088 \n",
+ "4 NaN \n",
+ "\n",
+ " MaxDiskWriteTask ReqGPUS Comment GPUMem GPUEff NGPU \n",
+ "0 NaN None None None None \n",
+ "1 NaN None None None None \n",
+ "2 0 NaN None None None None \n",
+ "3 0 NaN None None None None \n",
+ "4 NaN None None None None \n",
+ "\n",
+ "[5 rows x 63 columns]"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df1.head(5)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python [conda env:.conda-slurm-ds]",
+ "language": "python",
+ "name": "conda-env-.conda-slurm-ds-py"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.8.1"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}