1 numpy 概述
numpy是Numerical Python的缩写，释义为数值的Python
numpy弥补了作为通用编程语言的Python在数值计算方面能力弱、速度慢的不足（numpy的底层是通过C语言编写的甚至汇编语言实现的，可以直接操作CPU）
numpy拥有丰富的数学函数、具有矢量运算能力，快速、节省空间，，强大的多维数组（矩阵运算）和优异的运算能力，此外也针对数组运算提供大量的数学函数库
numpy的存储效率和I/O性能优胜于python
numpy的模块是用C语言编写的，故不支持jython
2 numpy 安装
2.1 在线安装
python -m pip install numpy 或 pip install numpy
该种方式安装的是标准的numpy，当实际使用过程中除了安装标准的numpy外还有另外的组件——数学核心库mkl（inter(R) Math Kernel Library），即numpy + mkl
2.2 离线安装（一）
离线安装：pip install 路径+文件名
C:\WINDOWS\system32>pip install D:\numpy-1.13.3+mkl-cp36-cp36m-win_amd64.whl
出现报错：numpy-1.13.3+mkl-cp36-cp36m-win_amd64.whl is not a supported wheel on this platform.
查找原因尝试了一遍，问题依旧就有解决
>>> import pip >>> print(pip.pep425tags.get_supported()) Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: module 'pip' has no attribute 'pep425tags'
显示pip中没有pep425tags属性
此时查看pip帮助
>>> help(pip) Help on package pip: NAME pip PACKAGE CONTENTS __main__ _internal (package) _vendor (package) VERSION 10.0.1 FILE c:\users\z***g\appdata\local\programs\python\python36-32\lib\site-packages\pip\__init__.py
该pip package 中有package contents ：_internal(package)和_vendor(package) ；
确实没有pep425tags，继续查看package
>>> help(pip._internal) Help on package pip._internal in pip: NAME pip._internal PACKAGE CONTENTS basecommand baseparser build_env cache cmdoptions commands (package) compat configuration download exceptions index locations models (package) operations (package) pep425tags req (package) resolve status_codes utils (package) vcs (package) wheel SUBMODULES bazaar deprecation git mercurial subversion FUNCTIONS autocomplete() Command and option completion for the main option parser (and options) and its subcommands (and options). Enable by sourcing one of the completion shell scripts (bash, zsh or fish). check_isolated(args) create_main_parser() main(args=None) parseopts(args) DATA absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... commands_dict = {'check': <class 'pip._internal.commands.check.CheckCo... logger = <Logger pip._internal (WARNING)> VERSION 10.0.1 FILE c:\users\zyong\appdata\local\programs\python\python36-32\lib\site-packages\pip\_internal\__init__.py
我们明显看到了_internal package中有 pep425tags 属性，
我们继续查看_vendor package
>>> help(pip._vendor) Help on package pip._vendor in pip: NAME pip._vendor DESCRIPTION pip._vendor is for vendoring dependencies of pip to prevent needing pip to depend on something external. Files inside of pip._vendor should be considered immutable and should only be updated to versions from upstream. PACKAGE CONTENTS appdirs cachecontrol (package) certifi (package) chardet (package) colorama (package) distlib (package) distro html5lib (package) idna (package) ipaddress lockfile (package) msgpack (package) packaging (package) pkg_resources (package) progress (package) pyparsing pytoml (package) requests (package) retrying six urllib3 (package) webencodings (package) FUNCTIONS vendored(modulename) # Define a small helper function to alias our vendored modules to the real ones # if the vendored ones do not exist. This idea of this was taken from # https://github.com/kennethreitz/requests/pull/2567. DATA DEBUNDLED = False WHEEL_DIR = r'C:\Users\zyong\AppData\Local\Programs\Python\Python36-32... absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0... FILE c:\users\zyong\appdata\local\programs\python\python36-32\lib\site-packages\pip\_vendor\__init__.py
基于此，可以发现这可能是由于pip版本问题而产生的，依据pip 10.0.1 进行如下操作
>>> import pip._internal >>> print(pip._internal.pep425tags.get_supported()) [('cp36', 'cp36m', 'win32'), ('cp36', 'none', 'win32'), ('py3', 'none', 'win32'), ('cp36', 'none', 'any'), ('cp3', 'none', 'any'), ('py36', 'none', 'any'), ('py3', 'none', 'any'), ('py35', 'none', 'any'), ('py34', 'none', 'any'), ('py33', 'none', 'any'), ('py32', 'none', 'any'), ('py31', 'none', 'any'), ('py30', 'none', 'any')] >>>
从上述内容可以看到，本pip并不支持numpy-1.13.3+mkl-cp36-cp36m-win_amd64.whl，
可以从python插件中找到32位numpy+mklhttps://www.lfd.uci.edu/~gohlke/pythonlibs/#pymssql
也即numpy-1.14.3+mkl-cp36-cp36m-win32.whl
在命令提示符CMD中执行：
C:\WINDOWS\system32>pip install D:\Software\Python\numpy-1.14.3+mkl-cp36-cp36m-win32.whl Processing d:\software\python\numpy-1.14.3+mkl-cp36-cp36m-win32.whl Installing collected packages: numpy Successfully installed numpy-1.14.3+mkl
安装成功！
2.3 离线安装（二）
