集成了python 的所有环境，安装可以直接从官网下载https://www.anaconda.com/download/#download
也可以通过清华源下载：https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
下载完之后直接点击安装，这里要注意一定要勾选安装VS,不然安装完成之后功能缺失。
先点开：Prompt
(base) C:\Users\ly>conda list
# packages in environment at C:\Users\liangyi\Anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he6757f0_0
alabaster 0.7.10 py36hcd07829_0
anaconda 5.2.0 py36_3
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.7 py36_0
anaconda-project 0.8.2 py36hfad2e28_0
asn1crypto 0.24.0 py36_0
astroid 1.6.3 py36_0
astropy 3.0.2 py36h452e1ab_1
attrs 18.1.0 py36_0
babel 2.5.3 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36h81696a8_1
backports.shutil_get_terminal_size 1.0.0 py36h79ab834_2
beautifulsoup4 4.6.0 py36hd4cc5e8_1
bitarray 0.8.1 py36hfa6e2cd_1
bkcharts 0.2 py36h7e685f7_0
blas 1.0 mkl
blaze 0.11.3 py36h8a29ca5_0
bleach 2.1.3 py36_0
blosc 1.14.3 he51fdeb_0
bokeh 0.12.16 py36_0
boto 2.48.0 py36h1a776d2_1
bottleneck 1.2.1 py36hd119dfa_0
bzip2 1.0.6 hfa6e2cd_5
ca-certificates 2018.03.07 0
certifi 2018.4.16 py36_0
cffi 1.11.5 py36h945400d_0
chardet 3.0.4 py36h420ce6e_1
click 6.7 py36hec8c647_0
cloudpickle 0.5.3 py36_0
clyent 1.2.2 py36hb10d595_1
colorama 0.3.9 py36h029ae33_0
comtypes 1.1.4 py36_0
conda 4.5.4 py36_0
conda-build 3.10.5 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h065de53_0
console_shortcut 0.1.1 h6bb2dd7_3
contextlib2 0.5.5 py36he5d52c0_0
cryptography 2.2.2 py36hfa6e2cd_0
curl 7.60.0 h7602738_0
cycler 0.10.0 py36h009560c_0
cython 0.28.2 py36hfa6e2cd_0
cytoolz 0.9.0.1 py36hfa6e2cd_0
dask 0.17.5 py36_0
dask-core 0.17.5 py36_0
datashape 0.5.4 py36h5770b85_0
decorator 4.3.0 py36_0
distributed 1.21.8 py36_0
docutils 0.14 py36h6012d8f_0
entrypoints 0.2.3 py36hfd66bb0_2
et_xmlfile 1.0.1 py36h3d2d736_0
fastcache 1.0.2 py36hfa6e2cd_2
filelock 3.0.4 py36_0
flask 1.0.2 py36_1
flask-cors 3.0.4 py36_0
freetype 2.8 h51f8f2c_1
get_terminal_size 1.0.0 h38e98db_0
gevent 1.3.0 py36hfa6e2cd_0
glob2 0.6 py36hdf76b57_0
greenlet 0.4.13 py36hfa6e2cd_0
h5py 2.7.1 py36h3bdd7fb_2
hdf5 1.10.2 hac2f561_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h047fa9f_0
icc_rt 2017.0.4 h97af966_0
icu 58.2 ha66f8fd_1
idna 2.6 py36h148d497_1
imageio 2.3.0 py36_0
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 8
ipykernel 4.8.2 py36_0
ipython 6.4.0 py36_0
ipython_genutils 0.2.0 py36h3c5d0ee_0
ipywidgets 7.2.1 py36_0
isort 4.3.4 py36_0
itsdangerous 0.24 py36hb6c5a24_1
jdcal 1.4 py36_0
jedi 0.12.0 py36_1
jinja2 2.10 py36h292fed1_0
jpeg 9b hb83a4c4_2
jsonschema 2.6.0 py36h7636477_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36h6d89b47_1
jupyter_core 4.4.0 py36h56e9d50_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
kiwisolver 1.0.1 py36h12c3424_0
lazy-object-proxy 1.3.1 py36hd1c21d2_0
libcurl 7.60.0 hc4dcbb0_0
libiconv 1.15 h1df5818_7
libpng 1.6.34 h79bbb47_0
libsodium 1.0.16 h9d3ae62_0
libssh2 1.8.0 hd619d38_4
libtiff 4.0.9 hb8ad9f9_1
libxml2 2.9.8 hadb2253_1
libxslt 1.1.32 hf6f1972_0
llvmlite 0.23.1 py36hcacf6c6_0
locket 0.2.0 py36hfed976d_1
lxml 4.2.1 py36heafd4d3_0
lzo 2.10 h6df0209_2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gmp 6.1.0 2
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
markupsafe 1.0 py36h0e26971_1
matplotlib 2.2.2 py36h153e9ff_1
mccabe 0.6.1 py36hb41005a_1
menuinst 1.4.14 py36hfa6e2cd_0
mistune 0.8.3 py36hfa6e2cd_1
mkl 2018.0.2 1
mkl-service 1.1.2 py36h57e144c_4
mkl_fft 1.0.1 py36h452e1ab_0
mkl_random 1.0.1 py36h9258bd6_0
more-itertools 4.1.0 py36_0
mpmath 1.0.0 py36hacc8adf_2
msgpack-python 0.5.6 py36he980bc4_0
msys2-conda-epoch 20160418 1
multipledispatch 0.5.0 py36_0
navigator-updater 0.2.1 py36_0
nbconvert 5.3.1 py36h8dc0fde_0
nbformat 4.4.0 py36h3a5bc1b_0
networkx 2.1 py36_0
nltk 3.3.0 py36_0
nose 1.3.7 py36h1c3779e_2
notebook 5.5.0 py36_0
numba 0.38.0 py36h830ac7b_0
numexpr 2.6.5 py36hcd2f87e_0
numpy 1.14.3 py36h9fa60d3_1
numpy-base 1.14.3 py36h555522e_1
numpydoc 0.8.0 py36_0
odo 0.5.1 py36h7560279_0
olefile 0.45.1 py36_0
openpyxl 2.5.3 py36_0
openssl 1.0.2o h8ea7d77_0
packaging 17.1 py36_0
pandas 0.23.0 py36h830ac7b_0
pandoc 1.19.2.1 hb2460c7_1
pandocfilters 1.4.2 py36h3ef6317_1
parso 0.2.0 py36_0
partd 0.3.8 py36hc8e763b_0
path.py 11.0.1 py36_0
pathlib2 2.3.2 py36_0
patsy 0.5.0 py36_0
pep8 1.7.1 py36_0
pickleshare 0.7.4 py36h9de030f_0
pillow 5.1.0 py36h0738816_0
pip 10.0.1 py36_0
pkginfo 1.4.2 py36_1
pluggy 0.6.0 py36hc7daf1e_0
ply 3.11 py36_0
prompt_toolkit 1.0.15 py36h60b8f86_0
psutil 5.4.5 py36hfa6e2cd_0
py 1.5.3 py36_0
pycodestyle 2.4.0 py36_0
pycosat 0.6.3 py36h413d8a4_0
pycparser 2.18 py36hd053e01_1
pycrypto 2.6.1 py36hfa6e2cd_8
pycurl 7.43.0.1 py36h74b6da3_0
pyflakes 1.6.0 py36h0b975d6_0
pygments 2.2.0 py36hb010967_0
pylint 1.8.4 py36_0
pyodbc 4.0.23 py36h6538335_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.0 py36h785a196_1
pyqt 5.9.2 py36h1aa27d4_0
pysocks 1.6.8 py36_0
pytables 3.4.3 py36he6f6034_1
pytest 3.5.1 py36_0
pytest-arraydiff 0.2 py36_0
pytest-astropy 0.3.0 py36_0
pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
pytest-remotedata 0.2.1 py36_0
python 3.6.5 h0c2934d_0
python-dateutil 2.7.3 py36_0
pytz 2018.4 py36_0
pywavelets 0.5.2 py36hc649158_0
pywin32 223 py36hfa6e2cd_1
pywinpty 0.5.1 py36_0
pyyaml 3.12 py36h1d1928f_1
pyzmq 17.0.0 py36hfa6e2cd_1
qt 5.9.5 vc14he4a7d60_0 [vc14]
qtawesome 0.4.4 py36h5aa48f6_0
qtconsole 4.3.1 py36h99a29a9_0
qtpy 1.4.1 py36_0
requests 2.18.4 py36h4371aae_1
rope 0.10.7 py36had63a69_0
ruamel_yaml 0.15.35 py36hfa6e2cd_1
scikit-image 0.13.1 py36hfa6e2cd_1
scikit-learn 0.19.1 py36h53aea1b_0
scipy 1.1.0 py36h672f292_0
seaborn 0.8.1 py36h9b69545_0
send2trash 1.5.0 py36_0
setuptools 39.1.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h17d0c80_0
sip 4.19.8 py36h6538335_0
six 1.11.0 py36h4db2310_1
snappy 1.1.7 h777316e_3
snowballstemmer 1.2.1 py36h763602f_0
sortedcollections 0.6.1 py36_0
sortedcontainers 1.5.10 py36_0
sphinx 1.7.4 py36_0
sphinxcontrib 1.0 py36hbbac3d2_1
sphinxcontrib-websupport 1.0.1 py36hb5e5916_1
spyder 3.2.8 py36_0
sqlalchemy 1.2.7 py36ha85dd04_0
sqlite 3.23.1 h35aae40_0
statsmodels 0.9.0 py36h452e1ab_0
sympy 1.1.1 py36h96708e0_0
tblib 1.3.2 py36h30f5020_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h2698cfe_0
tk 8.6.7 hcb92d03_3
toolz 0.9.0 py36_0
tornado 5.0.2 py36_0
traitlets 4.3.2 py36h096827d_0
typing 3.6.4 py36_0
unicodecsv 0.14.1 py36h6450c06_0
urllib3 1.22 py36h276f60a_0
vc 14 h0510ff6_3
vs2015_runtime 14.0.25123 3
wcwidth 0.1.7 py36h3d5aa90_0
webencodings 0.5.1 py36h67c50ae_1
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 py36_0
win_inet_pton 1.0.1 py36he67d7fd_1
win_unicode_console 0.5 py36hcdbd4b5_0
wincertstore 0.2 py36h7fe50ca_0
winpty 0.4.3 4
wrapt 1.10.11 py36he5f5981_0
xlrd 1.1.0 py36h1cb58dc_1
xlsxwriter 1.0.4 py36_0
xlwings 0.11.8 py36_0
xlwt 1.3.0 py36h1a4751e_0
yaml 0.1.7 hc54c509_2
zeromq 4.2.5 hc6251cf_0
zict 0.1.3 py36h2d8e73e_0
zlib 1.2.11 h8395fce_22.打开notebook
是一个网页版本的python使用，非常方便，点击右上角的new创建一个python3,可以直接执行python语法,shift + enter 换行执行。无法debug
3.插件的安装和使用
conda listall numpy
插件的查找：anaconda search -t conda tensorflow ##查找tensorflow
anaconda show dhirchfeld/tensorflow #查看需要安装的版本
(base) C:\Users\liangyi>anaconda show dhirschfeld/tensorflow
Using Anaconda API: https://api.anaconda.org
Name: tensorflow
Summary: Computation using data flow graphs for scalable machine learning
Access: public
Package Types: conda
Versions:
+ 0.12.0rc0
+ 1.2.0
To install this package with conda run:
conda install --channel https://conda.anaconda.org/dhirschfeld tensorflow然后执行上面最后一句命令安装：
conda install --channel https://conda.anaconda.org/dhirschfeld tensorflow