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dataSci.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "4ddb301a",
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"metadata": {},
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"source": [
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"# 데이터분석 소개"
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]
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},
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{
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"cell_type": "markdown",
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"id": "109eadf6",
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"metadata": {},
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"source": [
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"## 1장"
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]
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},
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{
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"cell_type": "markdown",
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"id": "32c16d78",
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"metadata": {},
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"source": [
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"`numpy` 라이브러리 불러오기"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "973aecc2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "8feee77b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([0.37454012, 0.95071431, 0.73199394, 0.59865848, 0.15601864])"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"np.random.seed(42)\n",
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"np.random.rand(5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7645d36e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "gpu-py312",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

myst.yml

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# authors: []
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github: https://github.com/codingalzi/jb2
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# To autogenerate a Table of Contents, run "jupyter book init --write-toc"
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toc:
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# Auto-generated by `myst init --write-toc`
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- file: README.md
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- file: dataSci.ipynb
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- file: 01-paper.md
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- file: 02-notebook.ipynb
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site:
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template: book-theme
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title: Fancy Jupyter Book

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