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Expand file tree Collapse file tree Original file line number Diff line number Diff line change 1+ [ ![ Analytics] ( https://ga-beacon.appspot.com/UA-80121379-2/notes-python )] ( https://github.com/lijin-thu/notes-python )
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3+
4+ # 中文 Python 笔记
5+
6+ > 版本:0.0.1<br >
7+ > 作者:李金<br >
8+ > 邮件:lijinwithyou@gmail.com <br >
9+
10+ ` Github ` 加载 ` .ipynb ` 的速度较慢,建议在 [ Nbviewer] ( http://nbviewer.ipython.org/github/lijin-THU/notes-python/blob/master/index.ipynb ) 中查看该项目。
11+
12+ ---
13+
14+ ## 简介
15+
16+ 大部分内容来自网络。
17+
18+ 默认安装了 ` Python 2.7 ` ,以及相关的第三方包 ` ipython ` , ` numpy ` , ` scipy ` ,` pandas ` 。
19+
20+ > life is short. use python.
21+
22+ 推荐使用 [ Anaconda] ( http://www.continuum.io/downloads ) ,这个IDE集成了大部分常用的包。
23+
24+ 笔记内容使用 ` ipython notebook ` 来展示。
25+
26+ 安装好 ` Python ` 和相应的包之后,可以在命令行下输入:
27+
28+ ```
29+ $ ipython notebook
30+ ```
31+ 来进入 ` ipython notebook ` 。
32+
33+ ----
34+
35+ ## 基本环境配置
36+
37+ - 安装 [ Anaconda] ( http://www.continuum.io/downloads ) 或者 [ Miniconda] ( http://conda.pydata.org/miniconda.html )
38+
39+ - 更新环境
40+ ```
41+ conda update conda
42+ conda update anaconda
43+ ```
44+
45+ ---
46+
47+ ## 参考
48+
49+ - [ Enthought Training on Demand] ( https://training.enthought.com/ )
50+ - [ Computational Statistics in Python] ( http://people.duke.edu/~ccc14/sta-663/index.html#rd )
51+ - [ Scipy.org] ( http://scipy.org/ )
52+ - [ Deep Learning Tutorials] ( http://deeplearning.net/tutorial/ )
53+ - [ High Performance Scientific Computing] ( http://faculty.washington.edu/rjl/uwhpsc-coursera/index.html )
54+ - [ Scipy Lectures] ( http://www.scipy-lectures.org/ )
55+ - [ Pandas.org] ( http://pandas.pydata.org/pandas-docs/stable/index.html )
56+
57+ ----
58+
59+ ## 目录
60+
61+ 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。
62+
63+ ---
164
265- [ 01. ** Python 工具** ] (01. python tools)
366 - [01.01 Python 简介](01. python tools/01.01 python overview.ipynb)
152215 - [12.01 十分钟上手 Pandas](12. pandas/12.01 ten minutes to pandas.ipynb)
153216 - [12.02 一维数据结构:Series](12. pandas/12.02 series in pandas.ipynb)
154217 - [12.03 二维数据结构:DataFrame](12. pandas/12.03 dataframe in pandas.ipynb)
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