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1 |
| -{ |
2 |
| - "cells": [ |
3 |
| - { |
4 |
| - "cell_type": "markdown", |
5 |
| - "metadata": {}, |
6 |
| - "source": [ |
7 |
| - "# Python 数据类型" |
8 |
| - ] |
9 |
| - }, |
10 |
| - { |
11 |
| - "cell_type": "markdown", |
12 |
| - "metadata": {}, |
13 |
| - "source": [ |
14 |
| - "##常用数据类型 Common Data Types" |
15 |
| - ] |
16 |
| - }, |
17 |
| - { |
18 |
| - "cell_type": "markdown", |
19 |
| - "metadata": {}, |
20 |
| - "source": [ |
21 |
| - "| 类型| 例子|\n", |
22 |
| - "| ----- | ----- |\n", |
23 |
| - "| 整数 | `-100` |\n", |
24 |
| - "| 浮点数 | `3.1416` |\n", |
25 |
| - "| 字符串 | `'hello'` |\n", |
26 |
| - "| 列表 | `[1, 1.2, 'hello']` |\n", |
27 |
| - "| 字典 | `{'dogs': 5, 'pigs': 3}`|\n", |
28 |
| - "| Numpy数组 | `array([1, 2, 3])`" |
29 |
| - ] |
30 |
| - }, |
31 |
| - { |
32 |
| - "cell_type": "markdown", |
33 |
| - "metadata": {}, |
34 |
| - "source": [ |
35 |
| - "## 其他类型 Others" |
36 |
| - ] |
37 |
| - }, |
38 |
| - { |
39 |
| - "cell_type": "markdown", |
40 |
| - "metadata": {}, |
41 |
| - "source": [ |
42 |
| - "| 类型| 例子|\n", |
43 |
| - "| ------- | ----- |\n", |
44 |
| - "| 长整型 | `1000000000000L`\n", |
45 |
| - "| 布尔型 | `True, False`\n", |
46 |
| - "| 元组 | `('ring', 1000)`\n", |
47 |
| - "| 集合 | `{1, 2, 3}`\n", |
48 |
| - "| Pandas类型| `DataFrame, Series`\n", |
49 |
| - "| 自定义 | `Object Oriented Classes`" |
50 |
| - ] |
51 |
| - } |
52 |
| - ], |
53 |
| - "metadata": { |
54 |
| - "kernelspec": { |
55 |
| - "display_name": "Python 2", |
56 |
| - "language": "python", |
57 |
| - "name": "python2" |
58 |
| - }, |
59 |
| - "language_info": { |
60 |
| - "codemirror_mode": { |
61 |
| - "name": "ipython", |
62 |
| - "version": 2 |
63 |
| - }, |
64 |
| - "file_extension": ".py", |
65 |
| - "mimetype": "text/x-python", |
66 |
| - "name": "python", |
67 |
| - "nbconvert_exporter": "python", |
68 |
| - "pygments_lexer": "ipython2", |
69 |
| - "version": "2.7.9" |
70 |
| - } |
71 |
| - }, |
72 |
| - "nbformat": 4, |
73 |
| - "nbformat_minor": 0 |
74 |
| -} |
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# Python 数据类型" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "## 常用数据类型 Common Data Types" |
| 15 | + ] |
| 16 | + }, |
| 17 | + { |
| 18 | + "cell_type": "markdown", |
| 19 | + "metadata": {}, |
| 20 | + "source": [ |
| 21 | + "| 类型| 例子|\n", |
| 22 | + "| ----- | ----- |\n", |
| 23 | + "| 整数 | `-100` |\n", |
| 24 | + "| 浮点数 | `3.1416` |\n", |
| 25 | + "| 字符串 | `'hello'` |\n", |
| 26 | + "| 列表 | `[1, 1.2, 'hello']` |\n", |
| 27 | + "| 字典 | `{'dogs': 5, 'pigs': 3}`|\n", |
| 28 | + "| Numpy数组 | `array([1, 2, 3])`" |
| 29 | + ] |
| 30 | + }, |
| 31 | + { |
| 32 | + "cell_type": "markdown", |
| 33 | + "metadata": {}, |
| 34 | + "source": [ |
| 35 | + "## 其他类型 Others" |
| 36 | + ] |
| 37 | + }, |
| 38 | + { |
| 39 | + "cell_type": "markdown", |
| 40 | + "metadata": {}, |
| 41 | + "source": [ |
| 42 | + "| 类型| 例子|\n", |
| 43 | + "| ------- | ----- |\n", |
| 44 | + "| 长整型 | `1000000000000L`\n", |
| 45 | + "| 布尔型 | `True, False`\n", |
| 46 | + "| 元组 | `('ring', 1000)`\n", |
| 47 | + "| 集合 | `{1, 2, 3}`\n", |
| 48 | + "| Pandas类型| `DataFrame, Series`\n", |
| 49 | + "| 自定义 | `Object Oriented Classes`" |
| 50 | + ] |
| 51 | + } |
| 52 | + ], |
| 53 | + "metadata": { |
| 54 | + "kernelspec": { |
| 55 | + "display_name": "Python 2", |
| 56 | + "language": "python", |
| 57 | + "name": "python2" |
| 58 | + }, |
| 59 | + "language_info": { |
| 60 | + "codemirror_mode": { |
| 61 | + "name": "ipython", |
| 62 | + "version": 2 |
| 63 | + }, |
| 64 | + "file_extension": ".py", |
| 65 | + "mimetype": "text/x-python", |
| 66 | + "name": "python", |
| 67 | + "nbconvert_exporter": "python", |
| 68 | + "pygments_lexer": "ipython2", |
| 69 | + "version": "2.7.6" |
| 70 | + } |
| 71 | + }, |
| 72 | + "nbformat": 4, |
| 73 | + "nbformat_minor": 0 |
| 74 | +} |
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