版本:0.0.1
作者:李金
邮件:[email protected]
Github
加载 .ipynb
的速度较慢,建议在 Nbviewer 中查看该项目。
大部分内容来自网络。
默认安装了 Python 2.7
,以及相关的第三方包 ipython
, numpy
, scipy
,pandas
。
life is short. use python.
推荐使用 Anaconda,这个IDE集成了大部分常用的包。
笔记内容使用 ipython notebook
来展示。
安装好 Python
和相应的包之后,可以在命令行下输入:
$ ipython notebook
来进入 ipython notebook
。
conda update conda
conda update anaconda
- Enthought Training on Demand
- Computational Statistics in Python
- Scipy.org
- Deep Learning Tutorials
- High Performance Scientific Computing
- Scipy Lectures
- Pandas.org
可以在 Notebook 中打开 generate static files.ipynb
,或者命令行中运行代码 generate_static_files.py
来生成静态的 HTML 文件。
- [01. Python 工具](01.\ python\ tools)
- [01.01 Python 简介](01.\ python\ tools/01.01\ python\ overview.ipynb)
- [01.02 Ipython 解释器](01.\ python\ tools/01.02\ ipython\ interpreter.ipynb)
- [01.03 Ipython notebook](01.\ python\ tools/01.03\ ipython\ notebook.ipynb)
- [01.04 使用 Anaconda](01.\ python\ tools/01.04\ use\ anaconda.ipynb)
- [02. Python 基础](02.\ python\ essentials)
- [02.01 Python 入门演示](02.\ python\ essentials/02.01\ a\ tour\ of\ python.ipynb)
- [02.02 Python 数据类型](02.\ python\ essentials/02.02\ python\ data\ types.ipynb)
- [02.03 数字](02.\ python\ essentials/02.03\ numbers.ipynb)
- [02.04 字符串](02.\ python\ essentials/02.04\ strings.ipynb)
- [02.05 索引和分片](02.\ python\ essentials/02.05\ indexing\ and\ slicing.ipynb)
- [02.06 列表](02.\ python\ essentials/02.06\ lists.ipynb)
- [02.07 可变和不可变类型](02.\ python\ essentials/02.07\ mutable\ and\ immutable\ data\ types.ipynb)
- [02.08 元组](02.\ python\ essentials/02.08\ tuples.ipynb)
- [02.09 列表与元组的速度比较](02.\ python\ essentials/02.09\ speed\ comparison\ between\ list\ &\ tuple.ipynb)
- [02.10 字典](02.\ python\ essentials/02.10\ dictionaries.ipynb)
- [02.11 集合](02.\ python\ essentials/02.11\ sets.ipynb)
- [02.12 不可变集合](02.\ python\ essentials/02.12\ frozen\ sets.ipynb)
- [02.13 Python\ 赋值机制](02.\ python\ essentials/02.13\ how\ python\ assignment\ works.ipynb)
- [02.14 判断语句](02.\ python\ essentials/02.14\ if\ statement.ipynb)
- [02.15 循环](02.\ python\ essentials/02.15\ loops.ipynb)
- [02.16 列表推导式](02.\ python\ essentials/02.16\ list\ comprehension.ipynb)
- [02.17 函数](02.\ python\ essentials/02.17\ functions.ipynb)
- [02.18 模块和包](02.\ python\ essentials/02.18\ modules\ and\ packages.ipynb)
- [02.19 异常](02.\ python\ essentials/02.19\ exceptions.ipynb)
- [02.20 警告](02.\ python\ essentials/02.20\ warnings.ipynb)
- [02.21 文件读写](02.\ python\ essentials/02.21\ file\ IO.ipynb)
- [03. Numpy](03.\ numpy)
- [03.01 Numpy 简介](03.\ numpy/03.01\ numpy\ overview.ipynb)
- [03.02 Matplotlib 基础](03.\ numpy/03.02\ matplotlib\ basics.ipynb)
- [03.03 Numpy 数组及其索引](03.\ numpy/03.03\ numpy\ arrays.ipynb)
- [03.04 数组类型](03.\ numpy/03.04\ array\ types.ipynb)
- [03.05 数组方法](03.\ numpy/03.05\ array\ calculation\ method.ipynb)
- [03.06 数组排序](03.\ numpy/03.06\ sorting\ numpy\ arrays.ipynb)
- [03.07 数组形状](03.\ numpy/03.07\ array\ shapes.ipynb)
- [03.08 对角线](03.\ numpy/03.08\ diagonals.ipynb)
- [03.09 数组与字符串的转换](03.\ numpy/03.09\ data\ to\ &\ from\ string.ipynb)
- [03.10 数组属性方法总结](03.\ numpy/03.10\ array\ attribute\ &\ method\ overview\ .ipynb)
- [03.11 生成数组的函数](03.\ numpy/03.11\ array\ creation\ functions.ipynb)
- [03.12 矩阵](03.\ numpy/03.12\ matrix\ object.ipynb)
- [03.13 一般函数](03.\ numpy/03.13\ general\ functions.ipynb)
- [03.14 向量化函数](03.\ numpy/03.14\ vectorizing\ functions.ipynb)
- [03.15 二元运算](03.\ numpy/03.15\ binary\ operators.ipynb)
- [03.16 ufunc 对象](03.\ numpy/03.16\ universal\ functions.ipynb)
- [03.17 choose 函数实现条件筛选](03.\ numpy/03.17\ choose.ipynb)
- [03.18 数组广播机制](03.\ numpy/03.18\ array\ broadcasting.ipynb)
- [03.19 数组读写](03.\ numpy/03.19\ reading\ and\ writing\ arrays.ipynb)
- [03.20 结构化数组](03.\ numpy/03.20\ structured\ arrays.ipynb)
- [03.21 记录数组](03.\ numpy/03.21\ record\ arrays.ipynb)
- [03.22 内存映射](03.\ numpy/03.22\ memory\ maps.ipynb)
- [03.23 从 Matlab 到\ Numpy](03.\ numpy/03.23\ from\ matlab\ to\ numpy.ipynb)
- [04. Scipy](04.\ scipy)
- [04.01 SCIentific PYthon 简介](04.\ scipy/04.01\ scienticfic\ python\ overview.ipynb)
- [04.02 插值](04.\ scipy/04.02\ interpolation\ with\ scipy.ipynb)
- [04.03 概率统计方法](04.\ scipy/04.03\ statistics\ with\ scipy.ipynb)
- [04.04 曲线拟合](04.\ scipy/04.04\ curve\ fitting.ipynb)
- [04.05 最小化函数](04.\ scipy/04.05\ minimization\ in\ python.ipynb)
- [04.06 积分](04.\ scipy/04.06\ integration\ in\ python.ipynb)
- [04.07 解微分方程](04.\ scipy/04.07\ ODEs.ipynb)
- [04.08 稀疏矩阵](04.\ scipy/04.08\ sparse\ matrix.ipynb)
- [04.09 线性代数](04.\ scipy/04.09\ linear\ algbra.ipynb)
- [04.10 稀疏矩阵的线性代数](04.\ scipy/04.10\ sparse\ linear\ algebra.ipynb)
- [05. Python 进阶](05.\ advanced\ python)
- [05.01 sys 模块简介](05.\ advanced\ python/05.01\ overview\ of\ the\ sys\ module.ipynb)
- [05.02 与操作系统进行交互:os 模块](05.\ advanced\ python/05.02\ interacting\ with\ the\ OS\ -\ os.ipynb)
- [05.03 CSV 文件和 csv 模块](05.\ advanced\ python/05.03\ comma\ separated\ values.ipynb)
- [05.04 正则表达式和 re 模块](05.\ advanced\ python/05.04\ regular\ expression.ipynb)
- [05.05 datetime 模块](05.\ advanced\ python/05.05\ datetime.ipynb)
- [05.06 SQL 数据库](05.\ advanced\ python/05.06\ sql\ databases.ipynb)
- [05.07 对象关系映射](05.\ advanced\ python/05.07\ object-relational\ mappers.ipynb)
- [05.08 函数进阶:参数传递,高阶函数,lambda\ 匿名函数,global\ 变量,递归](05.\ advanced\ python/05.08\ functions.ipynb)
- [05.09 迭代器](05.\ advanced\ python/05.09\ iterators.ipynb)
- [05.10 生成器](05.\ advanced\ python/05.10\ generators.ipynb)
- [05.11 with 语句和上下文管理器](05.\ advanced\ python/05.11\ context\ managers\ and\ the\ with\ statement.ipynb)
- [05.12 修饰符](05.\ advanced\ python/05.12\ decorators.ipynb)
- [05.13 修饰符的使用](05.\ advanced\ python/05.13\ decorator\ usage.ipynb)
- [05.14 operator, functools, itertools, toolz, fn, funcy 模块](05.\ advanced\ python/05.14\ the\ operator\ functools\ itertools\ toolz\ fn\ funcy\ module.ipynb)
- [05.15 作用域](05.\ advanced\ python/05.15\ scope.ipynb)
- [05.16 动态编译](05.\ advanced\ python/05.16\ dynamic\ code\ execution.ipynb)
- [06. Matplotlib](06.\ matplotlib)
- [06.01 Pyplot 教程](06.\ matplotlib/06.01\ pyplot\ tutorial.ipynb)
- [06.02 使用 style 来配置 pyplot 风格](06.\ matplotlib/06.02\ customizing\ plots\ with\ style\ sheets.ipynb)
- [06.03 处理文本(基础)](06.\ matplotlib/06.03\ \ working\ with\ text\ -\ basic.ipynb)
- [06.04 处理文本(数学表达式)](06.\ matplotlib/06.04\ working\ with\ text\ -\ math\ expression.ipynb)
- [06.05 图像基础](06.\ matplotlib/06.05\ image\ tutorial.ipynb)
- [06.06 注释](06.\ matplotlib/06.06\ annotating\ axes.ipynb)
- [06.07 标签](06.\ matplotlib/06.07\ legend.ipynb)
- [06.08 figures, subplots, axes 和 ticks 对象](06.\ matplotlib/06.08\ figures,\ subplots,\ axes\ and\ ticks.ipynb)
- [06.09 不要迷信默认设置](06.\ matplotlib/06.09\ do\ not\ trust\ the\ defaults.ipynb)
- [06.10 各种绘图实例](06.\ matplotlib/06.10\ different\ plots.ipynb)
- [07. 使用其他语言进行扩展](07.\ interfacing\ with\ other\ languages)
- [07.01 简介](07.\ interfacing\ with\ other\ languages/07.01\ introduction.ipynb)
- [07.02 Python 扩展模块](07.\ interfacing\ with\ other\ languages/07.02\ python\ extension\ modules.ipynb)
- [07.03 Cython:Cython 基础,将源代码转换成扩展模块](07.\ interfacing\ with\ other\ languages/07.03\ cython\ part\ 1.ipynb)
- [07.04 Cython:Cython 语法,调用其他C库](07.\ interfacing\ with\ other\ languages/07.04\ cython\ part\ 2.ipynb)
- [07.05 Cython:class 和 cdef class,使用 C++](07.\ interfacing\ with\ other\ languages/07.05\ cython\ part\ 3.ipynb)
- [07.06 Cython:Typed memoryviews](07.\ interfacing\ with\ other\ languages/07.06\ cython\ part\ 4.ipynb)
- [07.07 生成编译注释](07.\ interfacing\ with\ other\ languages/07.07\ profiling\ with\ annotations.ipynb)
- [07.08 ctypes](07.\ interfacing\ with\ other\ languages/07.08\ ctypes.ipynb)
- [08. 面向对象编程](08.\ object-oriented\ programming)
- [08.01 简介](08.\ object-oriented\ programming/08.01\ oop\ introduction.ipynb)
- [08.02 使用 OOP 对森林火灾建模](08.\ object-oriented\ programming/08.02\ using\ oop\ model\ a\ forest\ fire.ipynb)
- [08.03 什么是对象?](08.\ object-oriented\ programming/08.03\ what\ is\ a\ object.ipynb)
- [08.04 定义 class](08.\ object-oriented\ programming/08.04\ writing\ classes.ipynb)
- [08.05 特殊方法](08.\ object-oriented\ programming/08.05\ special\ method.ipynb)
- [08.06 属性](08.\ object-oriented\ programming/08.06\ properties.ipynb)
- [08.07 森林火灾模拟](08.\ object-oriented\ programming/08.07\ forest\ fire\ simulation.ipynb)
- [08.08 继承](08.\ object-oriented\ programming/08.08\ inheritance.ipynb)
- [08.09 super()\ 函数](08.\ object-oriented\ programming/08.09\ super.ipynb)
- [08.10 重定义森林火灾模拟](08.\ object-oriented\ programming/08.10\ refactoring\ the\ forest\ fire\ simutation.ipynb)
- [08.11 接口](08.\ object-oriented\ programming/08.11\ interfaces.ipynb)
- [08.12 共有,私有和特殊方法和属性](08.\ object-oriented\ programming/08.12\ public\ private\ special\ in\ python.ipynb)
- [08.13 多重继承](08.\ object-oriented\ programming/08.13\ multiple\ inheritance.ipynb)
- [09. Theano 基础](09.\ theano)
- [09.01 Theano 简介及其安装](09.\ theano/09.01\ introduction\ and\ installation.ipynb)
- [09.02 Theano 基础](09.\ theano/09.02\ theano\ basics.ipynb)
- [09.03 Theano 在 Windows 上的配置](09.\ theano/09.03\ gpu\ on\ windows.ipynb)
- [09.04 Theano 符号图结构](09.\ theano/09.04\ graph\ structures.ipynb)
- [09.05 Theano 配置和编译模式](09.\ theano/09.05\ configuration\ settings\ and\ compiling\ modes.ipynb)
- [09.06 Theano 条件语句](09.\ theano/09.06\ conditions\ in\ theano.ipynb)
- [09.07 Theano 循环:scan(详解)](09.\ theano/09.07\ loop\ with\ scan.ipynb)
- [09.08 Theano 实例:线性回归](09.\ theano/09.08\ linear\ regression.ipynb)
- [09.09 Theano 实例:Logistic 回归](09.\ theano/09.09\ logistic\ regression\ .ipynb)
- [09.10 Theano 实例:Softmax 回归](09.\ theano/09.10\ softmax\ on\ mnist.ipynb)
- [09.11 Theano 实例:人工神经网络](09.\ theano/09.11\ net\ on\ mnist.ipynb)
- [09.12 Theano 随机数流变量](09.\ theano/09.12\ random\ streams.ipynb)
- [09.13 Theano 实例:更复杂的网络](09.\ theano/09.13\ modern\ net\ on\ mnist.ipynb)
- [09.14 Theano 实例:卷积神经网络](09.\ theano/09.14\ convolutional\ net\ on\ mnist.ipynb)
- [09.15 Theano tensor 模块:基础](09.\ theano/09.15\ tensor\ basics.ipynb)
- [09.16 Theano tensor 模块:索引](09.\ theano/09.16\ tensor\ indexing.ipynb)
- [09.17 Theano tensor 模块:操作符和逐元素操作](09.\ theano/09.17\ tensor\ operator\ and\ elementwise\ operations.ipynb)
- [09.18 Theano tensor 模块:nnet 子模块](09.\ theano/09.18\ tensor\ nnet\ .ipynb)
- [09.19 Theano tensor 模块:conv 子模块](09.\ theano/09.19\ tensor\ conv.ipynb)
- [10. 有趣的第三方模块](10.\ something\ interesting)
- [10.01 使用 basemap 画地图](10.\ something\ interesting/10.01\ maps\ using\ basemap.ipynb)
- [10.02 使用 cartopy 画地图](10.\ something\ interesting/10.02\ maps\ using\ cartopy.ipynb)
- [10.03 探索 NBA 数据](10.\ something\ interesting/10.03\ nba\ data.ipynb)
- [10.04 金庸的武侠世界](10.\ something\ interesting/10.04\ louis\ cha's\ kungfu\ world.ipynb)
- [11. 有用的工具](11.\ useful\ tools)
- [11.01 pprint 模块:打印 Python 对象](11.\ useful\ tools/11.01\ pprint.ipynb)
- [11.02 pickle, cPickle 模块:序列化 Python 对象](11.\ useful\ tools/11.02\ pickle\ and\ cPickle.ipynb)
- [11.03 json 模块:处理 JSON 数据](11.\ useful\ tools/11.03\ json.ipynb)
- [11.04 glob 模块:文件模式匹配](11.\ useful\ tools/11.04\ glob.ipynb)
- [11.05 shutil 模块:高级文件操作](11.\ useful\ tools/11.05\ shutil.ipynb)
- [11.06 gzip, zipfile, tarfile 模块:处理压缩文件](11.\ useful\ tools/11.06\ gzip,\ zipfile,\ tarfile.ipynb)
- [11.07 logging 模块:记录日志](11.\ useful\ tools/11.07\ logging.ipynb)
- [11.08 string 模块:字符串处理](11.\ useful\ tools/11.08\ string.ipynb)
- [11.09 collections 模块:更多数据结构](11.\ useful\ tools/11.09\ collections.ipynb)
- [11.10 requests 模块:HTTP for Human](11.\ useful\ tools/11.10\ requests.ipynb)
- [12. Pandas](12.\ pandas)
- [12.01 十分钟上手 Pandas](12.\ pandas/12.01\ ten\ minutes\ to\ pandas.ipynb)
- [12.02 一维数据结构:Series](12.\ pandas/12.02\ series\ in\ pandas.ipynb)
- [12.03 二维数据结构:DataFrame](12.\ pandas/12.03\ dataframe\ in\ pandas.ipynb)