{ "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 }