download：Python数据分析入门到实战《网易云课堂》
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0 1 2 3 4 5 6 7 8 9]\n"
]
}
],
"source": [
"import numpy as np\n",
"a = np.arange(10)\n",
"print(a)"
] }, { "cell_type": "markdown", "metadata": {}, "source": [
"# print(\"hello world\")"
] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [
"a = 10\n",
"b = 5"
] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.0\n"
]
}
], "source": [
"c = a/b\n",
"print(c)\n",
"b = 0"
] }, { "cell_type": "markdown", "metadata": {}, "source": [
"1. 打开jupyter notebook的方式：\n",
" * 先打开anaconda prompt，然后进入到项目所在的路径。\n",
" * 然后在输入命令jupyter notebook，让他自动的在浏览器中打开编辑器。\n",
"2. 一些快捷方式。大家可以查看教案。\n",
"3. jupyter notebook运行原理是把所有运行了的变量存储在内存中，所以如果后面的cell中的代码修改了之前cell中的值，那么重复运行cell，可能会得不到预期的结果，设置报错。解决方案是点击一下`>>`两个箭头的那个按钮，让他重新从第一个cell运行一下。"
] } ], "metadata": { "kernelspec": {
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