|
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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