1. 安裝 python2.7 (or python3.4)
Windows用戶
下載，安裝
正確設(shè)置PATH變量：進(jìn)入 computer > Control Panel > All Control Panel Items > System > Advanced system setting > environment variables，然后點(diǎn)擊 "Path" 然后添加 ";\C:\Python27"(或者Python33)
這樣就可以在命令行界面(CLI)打開Python
Mac用戶
Mac自帶Python2.7
可以先安裝Homebrew，命令$ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"，然后再安裝Python3.4，命令$ brew install python3
2. 安裝 Ipython
Ipython
2.1 整體安裝
Windows用戶
$ python -m pip install ipython[all]
Mac用戶
$ pip install ipython[all]
[all] 意味著會下載并安裝Ipython以及相關(guān)需要的其他包：
jinja2needed for the notebook
sphinxneeded for nbconvert
pyzmqneeded for IPython’s parallel computing features, qt console and notebook
pygmentsused by nbconvert and the Qt console for syntax highlighting
tornadoneeded by the web-based notebook
noseused by the test suite
readline (on OS X) or pyreadline (on Windows)needed for the terminal
還有一些不能通過pip安裝，需要單獨(dú)安裝比如：Qt, PyQt 和 pandoc
2.2 獨(dú)立安裝
2.2.1 安裝Ipython本身
Windows用戶
install setuptools
$ python -m pip install pyreadline
$ python -m pip install ipython
Mac用戶
pip install ipython
2.2.2 安裝基礎(chǔ)相關(guān)包(Basic optional dependencies )
readline(for command line editing, tab completion, etc.)
python -m pip install "ipython[terminal]"
nose(to run the IPython test suite)
python -m pip install "ipython[test]"
pyzmq(for IPython.parallel (parallel computing))
python -m pip install "ipython[parallel]"
notebook(Dependencies for the IPython HTML notebook)
python -m pip install "ipython[notebook]"
IPython notebook使用web的形式，使用時輸入ipython notebook
支持IPython notebook的瀏覽器有：
Chrome ≥ 13
Safari ≥ 5
Firefox ≥ 6
Ipython notebook貌似還挺強(qiáng)大的，這里來不及深入，以后有時間會好好研究一下
更多信息，參考Ipython官網(wǎng)
3. 安裝 qtconsole
包含：pyzmq、pygments 和 PyQt(or PySide)
$ pip install pyzmq pygments
Shortcut:
$ pip install "ipython[qtconsole]"
PyQt/PySide不能通過pip安裝
Windows用戶
下載PyQt4 for python2.7 windows 32bit
Mac用戶
下載Qt包
安裝 Qt
安裝 SIP
安裝 PyQt
4. 安裝 Numpy
Windows用戶
Mac用戶
$ pip install numpy
5. 安裝 Scipy
Windows用戶
Mac用戶
$ pip install scipy
或者下載地址
6. 安裝 matplotlib
matplotlib
matplotlib是基于numpy的一套Python工具包，提供了豐富的數(shù)據(jù)繪圖工具。
Windows用戶
Mac用戶
注: 使用命令pip list查看除了matplotlib你是否還安裝了:
setuptools
numpy
Python-dateutil
pytz
pyparsing
7. 安裝 scikit-learn
scikit-learn
scikit-learn是用于機(jī)器學(xué)習(xí)的Python工具包
為數(shù)據(jù)挖掘和數(shù)據(jù)分析提供簡單高效的工具
基于NumPy, SciPy, 和 matplotlib
開源，BSD license
Scikit-learn需要環(huán)境：
Python (>= 2.6 or >= 3.3)
Numpy (>= 1.6.1)
Scipy (>= 0.9)
Windows用戶
python -m pip install -U scikit-learn
Mac用戶
pip install -U scikit-learn
大功告成，play with data and have fun!
