last fixes

Author: alesanchezr

.gitignore

@@ -0,0 +1,2 @@
+.*
+!.gitignore

requirements.txt

@@ -1,5 +1,15 @@
+# Base ----------------------------------------
 sqlalchemy==1.4.37
 pymysql==1.0.2
-requests==2.27.1
 pandas==1.4.2
-python-dotenv==0.20.0
+python-dotenv==0.20.0
+psycopg2-binary==2.9.3
+
+numpy>=1.18.5
+opencv-python>=4.1.2
+matplotlib>=3.2.2
+ipyleaflet>=0.14.0
+sympy>=1.10.1
+
+# Machine learning ----------------------------
+sklearn

src/explore.ipynb

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+{
+    "cells": [
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "# Explore here\n",
+                "\n",
+                "It's recommended to use this notebook for exploration purposes.\n",
+                "\n",
+                "For example: \n",
+                "\n",
+                "1. You could import the CSV generated by python into your notebook and explore it.\n",
+                "2. You could connect to your database using `pandas.read_sql` from this notebook and explore it."
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# Example reading the SQL database from here\n",
+                "\n",
+                "# from dotenv import load_dotenv\n",
+                "# from sqlalchemy import create_engine\n",
+                "# import pandas as pd\n",
+                "\n",
+                "# # load the .env file variables\n",
+                "# load_dotenv()\n",
+                "\n",
+                "# connection_string = f\"mysql+pymysql://{os.getenv('DB_USER')}:{os.getenv('DB_PASSWORD')}@{os.getenv('DB_HOST')}/{os.getenv('DB_NAME')}?autocommit=true\"\n",
+                "# engine = create_engine(connection_string)\n",
+                "# engine.connect()\n",
+                "\n",
+                "# dataframe = pd.read_sql(\"Select * from books;\", engine)\n",
+                "# print(dataframe.describe())"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# Example importing the CSV here\n",
+                "\n",
+                "# dataframe = pd.read_csv('../path/to/file.csv')\n",
+                "# dataframe.describe()"
+            ]
+        }
+    ],
+    "metadata": {
+        "kernelspec": {
+            "display_name": "Python 3.8.13 64-bit ('3.8.13')",
+            "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": "3.8.13"
+        },
+        "orig_nbformat": 4,
+        "vscode": {
+            "interpreter": {
+                "hash": "110cc1dee26208153f2972f08a2ad52b6a56238dc66d48e87fb757ef2996db56"
+            }
+        }
+    },
+    "nbformat": 4,
+    "nbformat_minor": 2
+}