import os
import argparse
def create_jupyter_project(project_name, target_dir):
project_path = os.path.join(target_dir, project_name)
os.makedirs(project_path, exist_ok=True)
os.makedirs(os.path.join(project_path, "notebooks"), exist_ok=True)
os.makedirs(os.path.join(project_path, "data"), exist_ok=True)
os.makedirs(os.path.join(project_path, "scripts"), exist_ok=True)
# requirements.txt
with open(os.path.join(project_path, "requirements.txt"), "w") as f:
f.write("jupyterlab\npandas\nmatplotlib\nscikit-learn\nseaborn\n")
# notebooks/analysis.ipynb
# Creating a minimal valid notebook JSON
notebook_content = """{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data Analysis\\n",
"\\n",
"Welcome to your new Data Science project!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\\n",
"import matplotlib.pyplot as plt\\n",
"import seaborn as sns\\n",
"\\n",
"%matplotlib inline"
]
}
],
"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": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}"""
with open(os.path.join(project_path, "notebooks", "analysis.ipynb"), "w") as f:
f.write(notebook_content)
print(f"Jupyter Data Science project '{project_name}' created at {project_path}")
print("Run 'jupyter lab' to start the environment.")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Create a Jupyter Data Science project")
parser.add_argument("project_name", help="Name of the project")
parser.add_argument("--target-dir", default=".", help="Target directory")
args = parser.parse_args()
create_jupyter_project(args.project_name, args.target_dir)
