Merge pull request #4 from cvazquezlos/main

Fixed large time to create a Codespace

Author: alesanchezr

.devcontainer/devcontainer.json

@@ -1,23 +1,16 @@
-// For format details, see https://aka.ms/devcontainer.json. For config options, see the
-// README at: https://github.com/devcontainers/templates/tree/main/src/python
 {
-	"name": "Python 3",
-	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
 	"image": "mcr.microsoft.com/devcontainers/python:0-3.11",
+	"waitFor": "onCreateCommand",
 	"onCreateCommand": "pip3 install --user -r requirements.txt",
+	"postCreateCommand": "",
 	"customizations": {
 	  "vscode": {
 		"extensions": [
 		  "ms-toolsai.jupyter",
-		  "ms-python.python"
+		  "ms-python.python",
+		  "ms-python.pylint"
 		]
 	  }
 	}
-
-	// Use 'forwardPorts' to make a list of ports inside the container available locally.
-	// "forwardPorts": [],
-
-	// Use 'postCreateCommand' to run commands after the container is created.
-	// "postCreateCommand": "pip3 install --user -r requirements.txt",
-
-}
+  }
+  

.gitpod.Dockerfile

@@ -1,18 +1,15 @@
-# Base ----------------------------------------
-ipywidgets==7.7.1
-sqlalchemy==1.4.37
-pymysql==1.0.2
-pandas==1.4.2
-python-dotenv==0.20.0
-psycopg2-binary==2.9.3
-requests==2.27.1
-
-numpy>=1.18.5
-opencv-python>=4.1.2
-matplotlib>=3.2.2
 ipyleaflet>=0.14.0
-sympy>=1.10.1
-xgboost
-
-# Machine learning ----------------------------
+ipywidgets>=7.7.1
+matplotlib>=3.7.0
+numpy>=1.24.2
+opencv-python>=4.1.2
+pandas>=1.5.3
+psycopg2-binary>=2.9.3
+pymysql>=1.0.2
+python-dotenv>=0.20.0
+requests>=2.27.1
 scikit-learn
+seaborn>=0.12.2
+sqlalchemy>=1.4.37
+sympy>=1.10.1
+xgboost

.gitpod.yml

@@ -4,14 +4,7 @@
             "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."
+                "# Explore here"
             ]
         },
         {
@@ -20,26 +13,7 @@
             "metadata": {},
             "outputs": [],
             "source": [
-                "# Example reading the SQL database from here\n",
-                "\n",
-                "from utils import db_connect\n",
-                "import pandas as pd\n",
-                "engine = db_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()"
+                "# Your code here"
             ]
         }
     ],