jupytext_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a3148d1c",
   "metadata": {},
   "source": [
    "# My Jupytext Example\n",
    "\n",
    "This is a simple Python script meant to be converted to a Jupyter Notebook using Jupytext."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8b142b45",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = {'col1': [1, 2], 'col2': [3, 4]}\n",
    "df = pd.DataFrame(data)\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "558c9b3c",
   "metadata": {},
   "source": [
    "This is another markdown cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9c0c766",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"DataFrame multiplied by 2:\")\n",
    "print(df * 2)"
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all",
   "main_language": "python",
   "notebook_metadata_filter": "-all"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

jupytext_example.py

# %% [markdown]
# # My Jupytext Example
#
# This is a simple Python script meant to be converted to a Jupyter Notebook using Jupytext.

# %%
import pandas as pd

data = {'col1': [1, 2], 'col2': [3, 4]}
df = pd.DataFrame(data)
print(df)

# %% [markdown]
# This is another markdown cell.

# %%
print("DataFrame multiplied by 2:")
print(df * 2)