Python数据分析与应用 - 高等学校新工科计算机类专业系列教材 - 中国高校教材图书网
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书名： |
Python数据分析与应用
高等学校新工科计算机类专业系列教材
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| ISBN： | 9787560668345 |
条码： | |
| 作者： |
周元哲
相关图书
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装订： | |
| 印次： | 1-1 |
开本： | 16开 |
| 定价： |
￥45.00
折扣价：￥42.75
折扣：0.95
节省了2.25元
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字数： |
364千字
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| 出版社： |
西安电子科技大学出版社 |
页数： |
248页
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| 发行编号： | 5606 |
每包册数： |
10
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| 出版日期： |
2023-8-11 |
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| 内容简介： |
本书分为基础篇和应用篇，共13章。其中，基础篇包括Python编程概述、Python编程基础、序列、流程控制、函数和模块等5章；应用篇包括Python网络爬虫、Python与数据分析、NumPy、Matplotlib、Pandas、SciPy、Seaborn和Sklearn 8章。
本书可作为高等院校本科层次Python程序设计课程的教材，也可供从事计算机应用开发的各类技术人员参考，亦可作为全国计算机等级考试、软件技术资格与水平考试的参考资料。
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| 作者简介： |
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| 章节目录： |
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第1章 Python编程概述 .................................................................................................................. 2
1.1 Python简介 ...................................................................................................................... 2
1.2 Python解释器 .................................................................................................................. 4
1.3 Python编辑器 .................................................................................................................. 6
1.4 代码书写规则 ............................................................................................................ 14
课后习题 ............................................................................................................................. 15
第2章 Python编程基础 ................................................................................................................ 16
2.1 Python对象 .................................................................................................................... 16
2.2 数据类型 .................................................................................................................... 17
2.3 运算符 ........................................................................................................................ 19
2.4 表达式 ........................................................................................................................ 24
2.5 Python转义字符 .............................................................................................................. 26
课后习题 ............................................................................................................................. 27
第3章 序列 ............................................................................................................................... 28
3.1 列表 ............................................................................................................................ 28
3.2 元组 ............................................................................................................................ 34
3.3 字符串 ........................................................................................................................ 37
3.5 集合 ............................................................................................................................ 45
课后习题 ............................................................................................................................. 49
第4章 流程控制 ............................................................................................................................ 51
4.1 程序设计流程 ............................................................................................................ 51
4.2 顺序结构 .................................................................................................................... 53
4.3 选择结构 .................................................................................................................... 56
4.4 循环结构 .................................................................................................................... 61
4.5 while语句 .................................................................................................................. 62
4.6 for语句 ........................................................................................................................... 64
4.7 循环嵌套 .................................................................................................................... 65
4.8 转移语句 .................................................................................................................... 66
课后习题 ............................................................................................................................. 68
第5章 函数和模块 ................................................................................................................... 70
5.1 函数概述 .................................................................................................................... 70
5.2 参数传递 .................................................................................................................... 73
5.3 参数分类 .................................................................................................................... 75
5.4 两类特殊函数 ............................................................................................................ 77
5.5 模块 ............................................................................................................................ 80
5.6 第三方库的安装 ........................................................................................................ 81
课后习题 ............................................................................................................................. 82
应 用 篇
第6章 Python网络爬虫 ....................................................................................................... 84
6.1 爬虫简介 .................................................................................................................... 84
6.2 requests库 .................................................................................................................. 84
6.3 正则表达式 ................................................................................................................ 85
6.4 BeautifulSoup库 ........................................................................................................ 91
6.5 Selenium爬虫 ............................................................................................................ 95
6.6 爬虫框架Scrapy ......................................................................................................... 98
课后习题 ........................................................................................................................... 101
第7章 Python与数据分析 ..................................................................................................... 102
7.1 数据分析概述 .......................................................................................................... 102
7.2 Python数据分析库 ..................................................................................................... 103
7.3 数据分类 .................................................................................................................. 107
7.4 数据统计量 .............................................................................................................. 107
7.5 数据可视化 .............................................................................................................. 108
7.6 数据分析流程 .......................................................................................................... 113
课后习题 ........................................................................................................................... 114
第8章 NumPy ....................................................................................................................... 115
8.1 认识NumPy .............................................................................................................. 115
8.2 ndarray对象 ............................................................................................................. 116
8.3 创建数组 .................................................................................................................. 119
8.4 数组变换 .................................................................................................................. 121
8.5 线性代数 .................................................................................................................. 124
8.6 统计量 ...................................................................................................................... 125
课后习题 ........................................................................................................................... 129
第9章 Matplotlib ....................................................................................................................... 130
9.1 认识Matplotlib ......................................................................................................... 130
9.2 Matplotlib图的基本结构 ........................................................................................ 130
9.3 子图基本操作 .......................................................................................................... 133
9.4 二维图 ...................................................................................................................... 136
9.5 三维图 ...................................................................................................................... 142
9.6 动态图 ...................................................................................................................... 144
9.7 概率分布 .................................................................................................................. 146
课后习题 ........................................................................................................................... 148
第10章 Pandas .................................................................................................................... 150
10.1 认识Pandas ................................................................................................................. 150
10.2 Series ............................................................................................................................ 151
10.3 DataFrame .................................................................................................................. 154
10.4 Index ........................................................................................................................ 159
10.5 可视化 .................................................................................................................... 164
10.6 数据转换 ................................................................................................................ 168
10.7 数据处理 ................................................................................................................ 171
课后习题 ............................................................................................................................. 173
第11章 SciPy ............................................................................................................................ 174
11.1 认识SciPy ................................................................................................................... 174
11.2 稀疏矩阵 .................................................................................................................. 175
11.3 SciPy图结构 .......................................................................................................... 177
11.4 线性代数 ................................................................................................................ 187
11.5 数据优化 ................................................................................................................ 188
11.6 概率分布 ................................................................................................................ 191
11.7 统计量 .................................................................................................................... 196
11.8 图像处理 ................................................................................................................ 196
课后习题 ........................................................................................................................... 200
第12章 Seaborn ....................................................................................................................... 201
12.1 认识Seaborn ........................................................................................................... 201
12.2 绘图设置 ................................................................................................................ 203
12.3 绘图种类 ................................................................................................................ 206
课后习题 ........................................................................................................................... 212
第13章 Sklearn .................................................................................................................... 213
13.1 Sklearn简介 ........................................................................................................... 213
13.2 数据集 .................................................................................................................... 214
13.3 数据操作流程 ........................................................................................................ 222
13.4 K近邻算法 ............................................................................................................ 223
13.5 决策树 .................................................................................................................... 225
13.6 线性模型 ................................................................................................................ 228
13.7 朴素贝叶斯 ............................................................................................................ 230
13.8 支持向量机 ............................................................................................................ 231
13.9 K-means聚类 ......................................................................................................... 234
13.10 DBSCAN聚类 ..................................................................................................... 236
课后习题 ........................................................................................................................... 238
参考文献 ................................................................................................................................... 239
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