{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# 产生目录"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import os\n",
"import os.path"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"文件夹名："
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"folders = ['01-python-tools', \n",
" '02-python-essentials',\n",
" '03-numpy',\n",
" '04-scipy',\n",
" '05-advanced-python',\n",
" '06-matplotlib',\n",
" '07-interfacing-with-other-languages',\n",
" '08-object-oriented-programming',\n",
" '09-theano',\n",
" '10-something-interesting',\n",
" '11-useful-tools',\n",
" '12-pandas'\n",
" ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"对应的中文名："
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"chinese = ['01. **Python 工具**', \n",
" '02. **Python 基础**', \n",
" '03. **Numpy**',\n",
" '04. **Scipy**',\n",
" '05. **Python 进阶**',\n",
" '06. **Matplotlib**',\n",
" '07. **使用其他语言进行扩展**',\n",
" '08. **面向对象编程**',\n",
" '09. **Theano 基础**',\n",
" '10. **有趣的第三方模块**',\n",
" '11. **有用的工具**',\n",
" '12. **Pandas**'\n",
" ]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"一一对应到字典中："
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"folders_to_chinese = dict(zip(folders, chinese))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"产生目录文件："
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"index_file = open('index.md', 'w')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"遍历产生中文目录："
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"01. Python 工具\n",
" 01.01 Python 简介\n",
" 01.02 Ipython 解释器\n",
" 01.03 Ipython notebook\n",
" 01.04 使用 Anaconda\n",
"02. Python 基础\n",
" 02.01 Python 入门演示\n",
" 02.02 Python 数据类型\n",
" 02.03 数字\n",
" 02.04 字符串\n",
" 02.05 索引和分片\n",
" 02.06 列表\n",
" 02.07 可变和不可变类型\n",
" 02.08 元组\n",
" 02.09 列表与元组的速度比较\n",
" 02.10 字典\n",
" 02.11 集合\n",
" 02.12 不可变集合\n",
" 02.13 Python 赋值机制\n",
" 02.14 判断语句\n",
" 02.15 循环\n",
" 02.16 列表推导式\n",
" 02.17 函数\n",
" 02.18 模块和包\n",
" 02.19 异常\n",
" 02.20 警告\n",
" 02.21 文件读写\n",
"03. Numpy\n",
" 03.01 Numpy 简介\n",
" 03.02 Matplotlib 基础\n",
" 03.03 Numpy 数组及其索引\n",
" 03.04 数组类型\n",
" 03.05 数组方法\n",
" 03.06 数组排序\n",
" 03.07 数组形状\n",
" 03.08 对角线\n",
" 03.09 数组与字符串的转换\n",
" 03.10 数组属性方法总结\n",
" 03.11 生成数组的函数\n",
" 03.12 矩阵\n",
" 03.13 一般函数\n",
" 03.14 向量化函数\n",
" 03.15 二元运算\n",
" 03.16 ufunc 对象\n",
" 03.17 choose 函数实现条件筛选\n",
" 03.18 数组广播机制\n",
" 03.19 数组读写\n",
" 03.20 结构化数组\n",
" 03.21 记录数组\n",
" 03.22 内存映射\n",
" 03.23 从 Matlab 到 Numpy\n",
"04. Scipy\n",
" 04.01 SCIentific PYthon 简介\n",
" 04.02 插值\n",
" 04.03 概率统计方法\n",
" 04.04 曲线拟合\n",
" 04.05 最小化函数\n",
" 04.06 积分\n",
" 04.07 解微分方程\n",
" 04.08 稀疏矩阵\n",
" 04.09 线性代数\n",
" 04.10 稀疏矩阵的线性代数\n",
"05. Python 进阶\n",
" 05.01 sys 模块简介\n",
" 05.02 与操作系统进行交互：os 模块\n",
" 05.03 CSV 文件和 csv 模块\n",
" 05.04 正则表达式和 re 模块\n",
" 05.05 datetime 模块\n",
" 05.06 SQL 数据库\n",
" 05.07 对象关系映射\n",
" 05.08 函数进阶：参数传递，高阶函数，lambda 匿名函数，global 变量，递归\n",
" 05.09 迭代器\n",
" 05.10 生成器\n",
" 05.11 with 语句和上下文管理器\n",
" 05.12 修饰符\n",
" 05.13 修饰符的使用\n",
" 05.14 operator, functools, itertools, toolz, fn, funcy 模块\n",
" 05.15 作用域\n",
" 05.16 动态编译\n",
"06. Matplotlib\n",
" 06.01 Pyplot 教程\n",
" 06.02 使用 style 来配置 pyplot 风格\n",
" 06.03 处理文本（基础）\n",
" 06.04 处理文本（数学表达式）\n",
" 06.05 图像基础\n",
" 06.06 注释\n",
" 06.07 标签\n",
" 06.08 figures, subplots, axes 和 ticks 对象\n",
" 06.09 不要迷信默认设置\n",
" 06.10 各种绘图实例\n",
"07. 使用其他语言进行扩展\n",
" 07.01 简介\n",
" 07.02 Python 扩展模块\n",
" 07.03 Cython：Cython 基础，将源代码转换成扩展模块\n",
" 07.04 Cython：Cython 语法，调用其他C库\n",
" 07.05 Cython：class 和 cdef class，使用 C++\n",
" 07.06 Cython：Typed memoryviews\n",
" 07.07 生成编译注释\n",
" 07.08 ctypes\n",
"08. 面向对象编程\n",
" 08.01 简介\n",
" 08.02 使用 OOP 对森林火灾建模\n",
" 08.03 什么是对象？\n",
" 08.04 定义 class\n",
" 08.05 特殊方法\n",
" 08.06 属性\n",
" 08.07 森林火灾模拟\n",
" 08.08 继承\n",
" 08.09 super() 函数\n",
" 08.10 重定义森林火灾模拟\n",
" 08.11 接口\n",
" 08.12 共有，私有和特殊方法和属性\n",
" 08.13 多重继承\n",
"09. Theano 基础\n",
" 09.01 Theano 简介及其安装\n",
" 09.02 Theano 基础\n",
" 09.03 Theano 在 Windows 上的配置\n",
" 09.04 Theano 符号图结构\n",
" 09.05 Theano 配置和编译模式\n",
" 09.06 Theano 条件语句\n",
" 09.07 Theano 循环：scan（详解）\n",
" 09.08 Theano 实例：线性回归\n",
" 09.09 Theano 实例：Logistic 回归\n",
" 09.10 Theano 实例：Softmax 回归\n",
" 09.11 Theano 实例：人工神经网络\n",
" 09.12 Theano 随机数流变量\n",
" 09.13 Theano 实例：更复杂的网络\n",
" 09.14 Theano 实例：卷积神经网络\n",
" 09.15 Theano tensor 模块：基础\n",
" 09.16 Theano tensor 模块：索引\n",
" 09.17 Theano tensor 模块：操作符和逐元素操作\n",
" 09.18 Theano tensor 模块：nnet 子模块\n",
" 09.19 Theano tensor 模块：conv 子模块\n",
"10. 有趣的第三方模块\n",
" 10.01 使用 basemap 画地图\n",
" 10.02 使用 cartopy 画地图\n",
" 10.03 探索 NBA 数据\n",
" 10.04 金庸的武侠世界\n",
"11. 有用的工具\n",
" 11.01 pprint 模块：打印 Python 对象\n",
" 11.02 pickle, cPickle 模块：序列化 Python 对象\n",
" 11.03 json 模块：处理 JSON 数据\n",
" 11.04 glob 模块：文件模式匹配\n",
" 11.05 shutil 模块：高级文件操作\n",
" 11.06 gzip, zipfile, tarfile 模块：处理压缩文件\n",
" 11.07 logging 模块：记录日志\n",
" 11.08 string 模块：字符串处理\n",
" 11.09 collections 模块：更多数据结构\n",
" 11.10 requests 模块：HTTP for Human\n",
"12. Pandas\n",
" 12.01 十分钟上手 Pandas\n",
" 12.02 一维数据结构：Series\n",
" 12.03 二维数据结构：DataFrame\n"
]
}
],
"source": [
"import nbformat\n",
"import glob\n",
"\n",
"for folder in folders:\n",
" index_file.write('- [' + folders_to_chinese[folder] \n",
" +'](' + folder + ')\\n')\n",
" print folders_to_chinese[folder].replace('*', '')\n",
" files = sorted(os.listdir(folder))\n",
" for file_name in files:\n",
" if file_name.endswith('.ipynb'):\n",
" with open(os.path.join(folder, file_name)) as fp:\n",
" nb = nbformat.read(fp, nbformat.NO_CONVERT)\n",
" name = nb['cells'][0]['source'][1:].strip()\n",
" print ' ' + file_name[:5], name\n",
" index_file.write('\\t - [' + file_name[:5] + ' ')\n",
" index_file.write(name.encode('utf-8'))\n",
" index_file.write('](' + folder + '/' + file_name +')\\n')"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"关闭目录文件："
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"index_file.close()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}