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

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

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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：

AfteryouhaveEclipse,PyDev,andAnacondainstalled,followthesestepstosetAnacondaPythonasyourdefaultbyaddingitasanewinterpreter,andthenselectingthatnewinterpreter:

OpentheEclipsePreferenceswindow:

GotoPyDev->

Interpreters->

PythonInterpreter.

ClicktheNewbutton:

Inthe“InterpreterName”box,type“AnacondaPython”.

Browseto~/anaconda/bin/pythonorwhereveryourAnacondaPythonisinstalled.

ClicktheOKbutton.

Inthenextwindow,selectallthefoldersandclicktheOKbuttonagaintoselectthefolderstoaddtotheSYSTEMpythonpath.

ThePythonInterpreterswindowwillnowdisplayAnacondaPython.ClickOK.

YouarenowreadytouseAnacondaPythonwithyourEclipseandPyDevinstallation.

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#id8

4.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~$whichpython

/Users/lei.wang/anaconda/bin/python

lei.wang~$python--version

Python2.7.12:

:

Anaconda4.1.1（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：

#addedbyAnaconda24.1.1installer

exportPATH="

/Users/wanglei/anaconda/bin:

$PATH"

1212

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~$conda

usage:

conda[-h][-V][--debug]command...

condaisatoolformanaginganddeployingapplications,environmentsandpackages.

Options:

positionalarguments:

command

infoDisplayinformationaboutcurrentcondainstall.

helpDisplaysalistofavailablecondacommandsandtheirhelp

strings.

listListlinkedpackagesinacondaenvironment.

searchSearchforpackagesanddisplaytheirinformation.Theinput

isaPythonregularexpression.Toperformasearchwitha

searchstringthatstartswitha-,separatethesearchfrom

theoptionswith--,like'

condasearch---h'

.A*inthe

resultsmeansthatpackageisinstalledinthecurrent

environment.A.meansthatpackageisnotinstalledbutis

cachedinthepkgsdirectory.

createCreateanewcondaenvironmentfromalistofspecified

packages.

installInstallsalistofpackagesintoaspecifiedconda

environment.

updateUpdatescondapackagestothelatestcompatibleversion.This

commandacceptsalistofpackagenamesandupdatesthemto

thelatestversionsthatarecompatiblewithallother

packagesintheenvironment.Condaattemptstoinstallthe

newestversionsoftherequestedpackages.Toaccomplish

this,itmayupdatesomepackagesthatarealreadyinstalled,

orinstalladditionalpackages.Topreventexistingpackages

fromupdating,usethe--no-update-depsoption.Thismay

forcecondatoinstallolderversionsoftherequested

packages,anditdoesnotpreventadditionaldependency

packagesfrombeinginstalled.Ifyouwishtoskipdependency

checkingaltogether,usethe'

--force'

option.Thismay

resultinanenvironmentwithincompatiblepackages,sothis

optionmustbeusedwithgreatcaution.

upgradeAliasforcondaupdate.Seecondaupdate--help.

removeRemovealistofpackagesfromaspecifiedcondaenvironment.

uninstallAliasforcondaremove.Seecondaremove--help.

configModifyconfigurationvaluesin.condarc.Thisismodeled

afterthegitconfigcommand.Writestotheuser.condarc

file（/Users/lei.wang/.condarc）bydefault.

initInitializecondaintoaregularenvironment（whencondawas

installedasaPythonpackage,e.g.usingpip）.（DEPRECATED）

cleanRemoveunusedpackagesandcaches.

packageLow-levelcondapackageutility.（EXPERIMENTAL）

bundleCreateorextracta"

bundlepackage"

（EXPERIMENTAL）

...12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849501234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950

信息太长了，后面的部分就不列举了。

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~$condalist

#packagesinenvironmentat/Users/lei.wang/anaconda:

#

_nb_ext_conf0.2.0py27_0

alabaster0.7.8py27_0

anaconda4.1.1np111py27_0

anaconda-client1.4.0py27_0

anaconda-navigator1.2.1py27_0

appnope0.1.0py27_0

appscript1.0.1py27_0

argcomplete1.0.0py27_1

astropy1.2.1np111py27_0

babel2.3.3py27_0

backports1.0py27_0

backports_abc0.4py27_0

beautifulsoup44.4.1py27_0

bitarray0.8.1py27_0

blaze0.10.1py27_0

bokeh0.12.0py27_0

boto2.40.0py27_0

bottleneck1.1.0np111py27_0

cdecimal2.3py27_2

cffi1.6.0py27_0

chest0.2.3py27_0

click6.6py27_0

cloudpickle0.2.1py27_0

clyent1.2.2py27_0

colorama0.3.7py27_0

conda4.1.6py27_0

conda-build1.21.3py27_0

conda-env2.5.1py27_0

configobj5.0.6py27_0

configparser3.5.0b2py27_1

contextlib20.5.3py27_0

cryptography1.4py27_0

curl7.49.00

cycler0.10.0py27_0

cython0.24py27_0

cytoolz0.8.0py27_0

dask0.10.0py27_0

datashape0.5.2py27_0

decorator4.0.10py27_0

dill0.2.5py27_0

docutils0.12py27_2

dynd-python0.7.2py27_0

entrypoints0.2.2py27_0

enum341.1.6py27_0

et_xmlfile1.0.1py27_0

fastcache1.0.2py27_1

flask0.11.1py27_0

flask-cors2.1.2py27_0

freetype2.5.51

funcsigs1.0.2py27_0

functools323.2.3.2py27_0

futures3.0.5py27_0

get_terminal_size1.0.0py27_0

gevent1.1.1py27_0

greenlet0.4.10py27_0

grin1.2.1py27_3

h5py2.6.0np111py27_1

hdf51.8.160

heapdict1.0.0py27_1

idna2.1py27_0

imagesize0.7.1py27_0

ipaddress1.0.16py27_0

ipykernel4.3.1py27_0

ipython4.2.0py27_1

ipython_genutils0.1.0py27_0

ipywidgets4.1.1py27_0

itsdangerous0.24py27_0

jbig2.10

jdcal1.2py27_1

jedi0.9.0py27_1

jinja22.8py27_1

jpeg8d1

jsonschema2.5.1py27_0

jupyter1.0.0py27_3

jupyter_client4.3.0py27_0

jupyter_console4.1.1py27_0

jupyter_core4.1.0py27_0

libdynd0.7.20

libpng1.6.220

libtiff4.0.62

libxml22.9.20

libxslt1.1.282

llvmlite0.11.0py27_0

locket0.2.0py27_1

lxml3.6.0py27_0

markupsafe0.23py27_2

matplotlib1.5.1np111py27_0

mistune0.7.2py27_1

mkl11.3.30

mkl-service1.1.2py27_2

mpmath0.19py27_1

multipledispatch0.4.8py27_0

nb_anacondacloud1.1.0py27_0

nb_conda1.1.0py27_0

nb_conda_kernels1.0.3py27_0

nbconvert4.2.0py27_0

nbformat4.0.1py27_0

nbpresent3.0.2py27_0

networkx1.11py27_0

nltk3.2.1py27_0

nose1.3.7py27_1

notebook4.2.1py27_0

numba0.26.0np111py27_0

numexpr2.6.0np111py27_0

numpy1.11.1py27_0

odo0.5.0py27_1

openpyxl2.3.2py27_0

openssl1.0.2h1

pandas0.18.1np111py27_0

partd0.3.4py27_0

path.py8.2.1py27_0

pathlib22.1.0py27_0

patsy0.4.1py27_0

pep81.7.0py27_0

pexpect4.0.1py27_0

pickleshare0.7.2py27_0

pillow3.2.0py27_1

pip8.1.2py27_0

ply3.8py27_0

psutil4.3.0py27_0

ptyprocess0.5.1py27_0

py1.4.31py27_0

pyasn10.1.9py27_0

pyaudio0.2.7py27_0

pycosat0.6.1py27_1

pycparser2.14py27_1

pycrypto2.6.1py27_4

pycurl7.43.0py27_0

pyflakes1.2.3py27_0

pygments2.1.3py27_0

pyopenssl0.16.0py27_0

pyparsing2.1.4py27_0

pyqt4.11.4py27_3

pytables3.2.2np111py27_4

pytest2.9.2py27_0

python2.7.121

python-dateutil2.5.3py27_0

python.app1.2py27_4

pytz2016.4py27_0

pyyaml3.11py27_4

pyzmq15.2.0py27_1

qt4.8.73

qtconsole4.2.1py27_0

qtpy1.0.2py27_0

readline6.22

redis3.2.00

redis-py2.10.5py27_0

requests2.10.0py27_0

rope0.9.4py27_1

ruamel_yaml0.11.7py27_0

scikit-image0.12.3np111py27_1

scikit-learn0.17.1np111py27_2

scipy0.17.1np111py27_1

setuptools23.0.0py27_0

simplegeneric0.8.1py27_1

singledispatch3.4.0.3py27_0

sip4.16.9py27_0

six1.10.0py27_0

snowballstemmer1.2.1py27_0

sockjs-tornado1.0.3py27_0

sphinx1.4.1py27_0

sphinx_rtd_theme0.1.9py27_0

spyder2.3.9py27_0

sqlalchemy1.0.13py27_0

sqlite3.13.00

ssl_match_hostname3.4.0.2py27_1

statsmodels0.6.1np111py27_1

sympy1.0py27_0

terminado0.6py27_0

tk8.5.180

toolz0.8.0py27_0

tornado4.3py27_1

traitlets4.2.1py27_0

unicodecsv0.14.1py27_0

werkzeug0.11.10py27_0

wheel0.29.0py27_0

xlrd1.0.0py27_0

xlsxwriter0.9.2py27_0

xlwings0.7.2py27_0

xlwt1.1.2py27_0

xz5.2.20

yaml0.1.60

zlib1.2.831234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768