Python 数据分析入门之 mac 安装环境

嗯，从今天开始要记录我从文科小白步入数据分析师的一步步，当然不是自学，第一步买课，等有自学能力开始再找能否自学的出路，经过对 DC 学院，Udacity、courses 等课程的框架、基础要求、老师，价格、平台服务等，最后选了 DC 学院： https://class.pkbigdata.com/#/classDetail/classIntroduce/1?slxydc=13sjfxsrm 目前为止还是很流畅，虽然 push 了很多资料，不过转化成自己的才是最好的，我把 mac 上安装 Python 及安装环境的全流程记录如下，每节课都讲的很详细，内容很丰富，我只码了冰山一角，可能比较粗暴，有需要的小伙伴可以参考（发现我发不了格式，暴风哭泣）

python 下载及安装 Mac 版

下载：
点击链接 https://www.continuum.io/downloads#macos 选 442M 的进入下载页面：Anaconda

下载之后安装就可以了（可以全部选默认设置）。

环境配置：打开你的 Mac-Launchpad-其他-终端
Last login: Fri Jun  9 10:17:14 on ttys000
tangningdeMacBook:~ tangning$ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
tangningdeMacBook:~ tangning$ conda config --set show_channel_urls yes
tangningdeMacBook:~ tangning$ conda create -n course_py35 python=3.5
Fetching package metadata ...........
Solving package specifications: .

Package plan for installation in environment /Applications/Utilities/anaconda/envs/course_py35:

The following NEW packages will be INSTALLED:

    openssl:    1.0.2l-0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    pip:        9.0.1-py35_1  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    python:     3.5.3-1       https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    readline:   6.2-2         https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    setuptools: 27.2.0-py35_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    sqlite:     3.13.0-0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    tk:         8.5.18-0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    wheel:      0.29.0-py35_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    xz:         5.2.2-1       https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    zlib:       1.2.8-3       https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free

Proceed ([y]/n)? y

openssl-1.0.2l 100% |################################| Time: 0:00:03   1.03 MB/s
readline-6.2-2 100% |################################| Time: 0:00:00   1.34 MB/s
sqlite-3.13.0- 100% |################################| Time: 0:00:01   1.22 MB/s
tk-8.5.18-0.ta 100% |################################| Time: 0:00:01   1.62 MB/s
xz-5.2.2-1.tar 100% |################################| Time: 0:00:00   2.17 MB/s
zlib-1.2.8-3.t 100% |################################| Time: 0:00:00   6.63 MB/s
python-3.5.3-1 100% |################################| Time: 0:00:05   2.03 MB/s
setuptools-27. 100% |################################| Time: 0:00:00   3.40 MB/s
wheel-0.29.0-p 100% |################################| Time: 0:00:00   4.33 MB/s
pip-9.0.1-py35 100% |################################| Time: 0:00:00   3.65 MB/s
#
# To activate this environment, use:
# > source activate course_py35
#
# To deactivate this environment, use:
# > source deactivate course_py35
#
tangningdeMacBook:~ tangning$ source activate course_py35
(course_py35) tangningdeMacBook:~ tangning$ python
Python 3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 12:15:08) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> quit()
(course_py35) tangningdeMacBook:~ tangning$ conda install scipy
Fetching package metadata ...........
Solving package specifications: .

Package plan for installation in environment /Applications/Utilities/anaconda/envs/course_py35:

The following NEW packages will be INSTALLED:

    mkl:   2017.0.1-0         https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    numpy: 1.12.1-py35_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    scipy: 0.19.0-np112py35_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free

Proceed ([y]/n)? y

mkl-2017.0.1-0 100% |########################################| Time: 0:02:24 804.80 kB/s
numpy-1.12.1-p 100% |########################################| Time: 0:00:02   1.55 MB/s
scipy-0.19.0-n 100% |########################################| Time: 0:00:08   1.97 MB/s
(course_py35) tangningdeMacBook:~ tangning$ python
Python 3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 12:15:08) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>> quit()
(course_py35) tangningdeMacBook:~ tangning$ conda install pandas
Fetching package metadata ...........
Solving package specifications: .

Package plan for installation in environment /Applications/Utilities/anaconda/envs/course_py35:

The following NEW packages will be INSTALLED:

    pandas:          0.20.1-np112py35_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    python-dateutil: 2.6.0-py35_0       https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    pytz:            2017.2-py35_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
    six:             1.10.0-py35_0      https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free

Proceed ([y]/n)? y

pytz-2017.2-py 100% |########################################| Time: 0:00:00 884.66 kB/s
six-1.10.0-py3 100% |########################################| Time: 0:00:00   8.72 MB/s
python-dateuti 100% |########################################| Time: 0:00:00   1.59 MB/s
pandas-0.20.1- 100% |########################################| Time: 0:00:03   2.73 MB/s
(course_py35) tangningdeMacBook:~ tangning$ pip install scikit-learn
Collecting scikit-learn
  Downloading scikit_learn-0.18.1-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (7.2MB)
    100% |████████████████████████████████| 7.2MB 17kB/s 
Installing collected packages: scikit-learn
Successfully installed scikit-learn-0.18.1