python 科学计算 发行版 Anaconda安装使用教程Word文档下载推荐.docx

1、因为我平时使用eclipse开发，正好官网都贴心地给出了在IDE里怎么配置使用，里面就有eclipse，前提是eclipse已经安装了pydev插件。以下eclipse配置方法来自官网：After you have Eclipse, PyDev, and Anaconda installed, follow these steps to set Anaconda Python as your default by adding it as a new interpreter, and then selecting that new interpreter:Open the Eclipse Pr

2、eferences window:Go to PyDev - Interpreters - Python Interpreter. Click the New button:In the “Interpreter Name” box, type “Anaconda Python”. Browse to /anaconda/bin/python or wherever your Anaconda Python is installed. Click the OK button. In the next window, select all the folders and click the OK

3、 button again to select the folders to add to the SYSTEM python path. The Python Interpreters window will now display Anaconda Python. Click OK. You are now ready to use Anaconda Python with your Eclipse and PyDev installation.如果是其他IDE，可以上官网查看其他配置方法。具体地址：/docs.continuum.io/anaconda/ide_integration#i

4、d84.查看Anaconda的基本用法配置完成以后，查看一下此时系统的python：lei.wang $ which python/Users/lei.wang/anaconda/bin/pythonlei.wang $ python -versionPython 2.7.12 : Anaconda 4.1.1 （x86_64）12341234此时，系统默认的python已经变成了Anaconda的版本！为什么会这样呢？原来是安装过程中，偷偷给我们在home目录下生成了一个.bashrc_profile文件，并在里面加入了PATH：# added by Anaconda2 4.1.1 inst

5、allerexport PATH=/Users/wanglei/anaconda/bin:$PATH1212所以这个时候我们的bash里使用python的话，已经指向了anaconda里的python解释器。如果使用的不是mac的标准bash，而是zsh，不用着急，将上面一行配置复制粘贴到.zshrc文件中，然后source一下.zshrc文件即可！执行一下conda命令：lei.wang $ condausage: conda -h -V -debug command .conda is a tool for managing and deploying applications, envi

6、ronments and packages.Options:positional arguments: command info Display information about current conda install. help Displays a list of available conda commands and their help strings. list List linked packages in a conda environment. search Search for packages and display their information. The i

7、nput is a Python regular expression. To perform a search with a search string that starts with a -, separate the search from the options with -, like conda search - -h. A * in the results means that package is installed in the current environment. A . means that package is not installed but is cache

8、d in the pkgs directory. create Create a new conda environment from a list of specified packages. install Installs a list of packages into a specified conda environment. update Updates conda packages to the latest compatible version. This command accepts a list of package names and updates them to t

9、he latest versions that are compatible with all other packages in the environment. Conda attempts to install the newest versions of the requested packages. To accomplish this, it may update some packages that are already installed, or install additional packages. To prevent existing packages from up

10、dating, use the -no-update-deps option. This may force conda to install older versions of the requested packages, and it does not prevent additional dependency packages from being installed. If you wish to skip dependency checking altogether, use the -force option. This may result in an environment

11、with incompatible packages, so this option must be used with great caution. upgrade Alias for conda update. See conda update -help. remove Remove a list of packages from a specified conda environment. uninstall Alias for conda remove. See conda remove -help. config Modify configuration values in .co

12、ndarc. This is modeled after the git config command. Writes to the user .condarc file （/Users/lei.wang/.condarc） by default. init Initialize conda into a regular environment （when conda was installed as a Python package, e.g. using pip）. （DEPRECATED） clean Remove unused packages and caches. package

13、Low-level conda package utility. （EXPERIMENTAL） bundle Create or extract a bundle package （EXPERIMENTAL）.12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849501234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950信息太长了，后面的部分就不

14、列举了。不过看到前面这部分选项，就已经足够让我们兴奋了：基本的list，search，install，upgrade，uninstall等功能都包含，说明我们可以向apt-get一样方便管理python的各种依赖了。先list一下，查看里面都带了哪些牛逼闪闪的科学计算包：ei.wang $ conda list# packages in environment at /Users/lei.wang/anaconda:#_nb_ext_conf 0.2.0 py27_0alabaster 0.7.8 py27_0anaconda 4.1.1 np111py27_0anaconda-client

15、1.4.0 py27_0anaconda-navigator 1.2.1 py27_0appnope 0.1.0 py27_0appscript 1.0.1 py27_0argcomplete 1.0.0 py27_1astropy 1.2.1 np111py27_0babel 2.3.3 py27_0backports 1.0 py27_0backports_abc 0.4 py27_0beautifulsoup4 4.4.1 py27_0bitarray 0.8.1 py27_0blaze 0.10.1 py27_0bokeh 0.12.0 py27_0boto 2.40.0 py27_0

16、bottleneck 1.1.0 np111py27_0cdecimal 2.3 py27_2cffi 1.6.0 py27_0chest 0.2.3 py27_0click 6.6 py27_0cloudpickle 0.2.1 py27_0clyent 1.2.2 py27_0colorama 0.3.7 py27_0conda 4.1.6 py27_0conda-build 1.21.3 py27_0conda-env 2.5.1 py27_0configobj 5.0.6 py27_0configparser 3.5.0b2 py27_1contextlib2 0.5.3 py27_0

17、cryptography 1.4 py27_0curl 7.49.0 0cycler 0.10.0 py27_0cython 0.24 py27_0cytoolz 0.8.0 py27_0dask 0.10.0 py27_0datashape 0.5.2 py27_0decorator 4.0.10 py27_0dill 0.2.5 py27_0docutils 0.12 py27_2dynd-python 0.7.2 py27_0entrypoints 0.2.2 py27_0enum34 1.1.6 py27_0et_xmlfile 1.0.1 py27_0fastcache 1.0.2

18、py27_1flask 0.11.1 py27_0flask-cors 2.1.2 py27_0freetype 2.5.5 1funcsigs 1.0.2 py27_0functools32 3.2.3.2 py27_0futures 3.0.5 py27_0get_terminal_size 1.0.0 py27_0gevent 1.1.1 py27_0greenlet 0.4.10 py27_0grin 1.2.1 py27_3h5py 2.6.0 np111py27_1hdf5 1.8.16 0heapdict 1.0.0 py27_1idna 2.1 py27_0imagesize

19、0.7.1 py27_0ipaddress 1.0.16 py27_0ipykernel 4.3.1 py27_0ipython 4.2.0 py27_1ipython_genutils 0.1.0 py27_0ipywidgets 4.1.1 py27_0itsdangerous 0.24 py27_0jbig 2.1 0jdcal 1.2 py27_1jedi 0.9.0 py27_1jinja2 2.8 py27_1jpeg 8d 1jsonschema 2.5.1 py27_0jupyter 1.0.0 py27_3jupyter_client 4.3.0 py27_0jupyter_

20、console 4.1.1 py27_0jupyter_core 4.1.0 py27_0libdynd 0.7.2 0libpng 1.6.22 0libtiff 4.0.6 2libxml2 2.9.2 0libxslt 1.1.28 2llvmlite 0.11.0 py27_0locket 0.2.0 py27_1lxml 3.6.0 py27_0markupsafe 0.23 py27_2matplotlib 1.5.1 np111py27_0mistune 0.7.2 py27_1mkl 11.3.3 0mkl-service 1.1.2 py27_2mpmath 0.19 py2

21、7_1multipledispatch 0.4.8 py27_0nb_anacondacloud 1.1.0 py27_0nb_conda 1.1.0 py27_0nb_conda_kernels 1.0.3 py27_0nbconvert 4.2.0 py27_0nbformat 4.0.1 py27_0nbpresent 3.0.2 py27_0networkx 1.11 py27_0nltk 3.2.1 py27_0nose 1.3.7 py27_1notebook 4.2.1 py27_0numba 0.26.0 np111py27_0numexpr 2.6.0 np111py27_0

22、numpy 1.11.1 py27_0odo 0.5.0 py27_1openpyxl 2.3.2 py27_0openssl 1.0.2h 1pandas 0.18.1 np111py27_0partd 0.3.4 py27_0path.py 8.2.1 py27_0pathlib2 2.1.0 py27_0patsy 0.4.1 py27_0pep8 1.7.0 py27_0pexpect 4.0.1 py27_0pickleshare 0.7.2 py27_0pillow 3.2.0 py27_1pip 8.1.2 py27_0ply 3.8 py27_0psutil 4.3.0 py2

23、7_0ptyprocess 0.5.1 py27_0py 1.4.31 py27_0pyasn1 0.1.9 py27_0pyaudio 0.2.7 py27_0pycosat 0.6.1 py27_1pycparser 2.14 py27_1pycrypto 2.6.1 py27_4pycurl 7.43.0 py27_0pyflakes 1.2.3 py27_0pygments 2.1.3 py27_0pyopenssl 0.16.0 py27_0pyparsing 2.1.4 py27_0pyqt 4.11.4 py27_3pytables 3.2.2 np111py27_4pytest

24、 2.9.2 py27_0python 2.7.12 1python-dateutil 2.5.3 py27_0python.app 1.2 py27_4pytz 2016.4 py27_0pyyaml 3.11 py27_4pyzmq 15.2.0 py27_1qt 4.8.7 3qtconsole 4.2.1 py27_0qtpy 1.0.2 py27_0readline 6.2 2redis 3.2.0 0redis-py 2.10.5 py27_0requests 2.10.0 py27_0rope 0.9.4 py27_1ruamel_yaml 0.11.7 py27_0scikit

25、-image 0.12.3 np111py27_1scikit-learn 0.17.1 np111py27_2scipy 0.17.1 np111py27_1setuptools 23.0.0 py27_0simplegeneric 0.8.1 py27_1singledispatch 3.4.0.3 py27_0sip 4.16.9 py27_0six 1.10.0 py27_0snowballstemmer 1.2.1 py27_0sockjs-tornado 1.0.3 py27_0sphinx 1.4.1 py27_0sphinx_rtd_theme 0.1.9 py27_0spyd

26、er 2.3.9 py27_0sqlalchemy 1.0.13 py27_0sqlite 3.13.0 0ssl_match_hostname 3.4.0.2 py27_1statsmodels 0.6.1 np111py27_1sympy 1.0 py27_0terminado 0.6 py27_0tk 8.5.18 0toolz 0.8.0 py27_0tornado 4.3 py27_1traitlets 4.2.1 py27_0unicodecsv 0.14.1 py27_0werkzeug 0.11.10 py27_0wheel 0.29.0 py27_0xlrd 1.0.0 py27_0xlsxwriter 0.9.2 py27_0xlwings 0.7.2 py27_0xlwt 1.1.2 py27_0xz 5.2.2 0yaml 0.1.6 0zlib 1.2.8 31234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768