概述
安装Django的步骤:(连网)
1.在命令行窗口中直接运行:pip install django==1.11 -i https://pypi.tuna.tsinghua.edu.cn/simple
2.如果提示pip命令不存在,那么先安装pip,再运行以上命令;
3.pip安装步骤:
(a)在命令行窗口运行以下命令下载安装脚本:curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
(b)在命令行窗口运行以下命令运行安装脚本:python get-pip.py
注意:正常情况只需执行第一步即可,如果第一步命令报错pip命令不存在才需执行第三步pip安装步骤
查看有无django
In [2]: import django
In [3]: django.get_version
Out[3]:
In [4]: django.get_version()
Out[4]: ‘1.11’
S C:UsersLenovoDesktop> python -V
Python 3.6.3 :: Anaconda, Inc.
PS C:UsersLenovoDesktop> pip -V
pip 9.0.1 from D:PY–Anacondalibsite-packages (python 3.6)
PS C:UsersLenovoDesktop> ^C
PS C:UsersLenovoDesktop> pip list
DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning.
alabaster (0.7.10)
anaconda-client (1.6.5)
anaconda-navigator (1.6.9)
anaconda-project (0.8.0)
asn1crypto (0.22.0)
astroid (1.5.3)
astropy (2.0.2)
babel (2.5.0)
backports.shutil-get-terminal-size (1.0.0)
beautifulsoup4 (4.6.0)
bitarray (0.8.1)
bkcharts (0.2)
blaze (0.11.3)
bleach (2.0.0)
bokeh (0.12.10)
boto (2.48.0)
Bottleneck (1.2.1)
CacheControl (0.12.3)
certifi (2017.7.27.1)
cffi (1.10.0)
chardet (3.0.4)
click (6.7)
cloudpickle (0.4.0)
clyent (1.2.2)
colorama (0.3.9)
comtypes (1.1.2)
conda (4.3.30)
conda-build (3.0.27)
conda-verify (2.0.0)
contextlib2 (0.5.5)
cryptography (2.0.3)
cycler (0.10.0)
Cython (0.26.1)
cytoolz (0.8.2)
dask (0.15.3)
datashape (0.5.4)
decorator (4.1.2)
distlib (0.2.5)
distributed (1.19.1)
Django (1.11)
docutils (0.14)
entrypoints (0.2.3)
et-xmlfile (1.0.1)
fastcache (1.0.2)
filelock (2.0.12)
Flask (0.12.2)
Flask-Cors (3.0.3)
gevent (1.2.2)
glob2 (0.5)
greenlet (0.4.12)
h5py (2.7.0)
heapdict (1.0.0)
html5lib (0.999999999)
idna (2.6)
imageio (2.2.0)
imagesize (0.7.1)
ipykernel (4.6.1)
ipython (6.1.0)
ipython-genutils (0.2.0)
ipywidgets (7.0.0)
isort (4.2.15)
itsdangerous (0.24)
jdcal (1.3)
jedi (0.10.2)
Jinja2 (2.9.6)
jsonschema (2.6.0)
jupyter-client (5.1.0)
jupyter-console (5.2.0)
jupyter-core (4.3.0)
jupyterlab (0.27.0)
jupyterlab-launcher (0.4.0)
lazy-object-proxy (1.3.1)
llvmlite (0.20.0)
locket (0.2.0)
lockfile (0.12.2)
lxml (4.1.0)
MarkupSafe (1.0)
matplotlib (2.1.0)
mccabe (0.6.1)
menuinst (1.4.10)
mistune (0.7.4)
mpmath (0.19)
msgpack-python (0.4.8)
multipledispatch (0.4.9)
navigator-updater (0.1.0)
nbconvert (5.3.1)
nbformat (4.4.0)
networkx (2.0)
nltk (3.2.4)
nose (1.3.7)
notebook (5.0.0)
numba (0.35.0+10.g143f70e)
numexpr (2.6.2)
numpy (1.13.3)
numpydoc (0.7.0)
odo (0.5.1)
olefile (0.44)
openpyxl (2.4.8)
packaging (16.8)
pandas (0.20.3)
pandocfilters (1.4.2)
partd (0.3.8)
path.py (10.3.1)
pathlib2 (2.3.0)
patsy (0.4.1)
pep8 (1.7.0)
pickleshare (0.7.4)
Pillow (4.2.1)
pip (9.0.1)
pkginfo (1.4.1)
ply (3.10)
progress (1.3)
prompt-toolkit (1.0.15)
psutil (5.4.0)
py (1.4.34)
pycodestyle (2.3.1)
pycosat (0.6.2)
pycparser (2.18)
pycrypto (2.6.1)
pycurl (7.43.0)
pyflakes (1.6.0)
Pygments (2.2.0)
pylint (1.7.4)
pyodbc (4.0.17)
pyOpenSSL (17.2.0)
pyparsing (2.2.0)
PySocks (1.6.7)
pytest (3.2.1)
python-dateutil (2.6.1)
pytz (2017.2)
PyWavelets (0.5.2)
pywin32 (221)
PyYAML (3.12)
pyzmq (16.0.2)
QtAwesome (0.4.4)
qtconsole (4.3.1)
QtPy (1.3.1)
requests (2.18.4)
rope (0.10.5)
ruamel-yaml (0.11.14)
scikit-image (0.13.0)
scikit-learn (0.19.1)
scipy (0.19.1)
seaborn (0.8)
setuptools (36.5.0.post20170921)
simplegeneric (0.8.1)
singledispatch (3.4.0.3)
six (1.11.0)
snowballstemmer (1.2.1)
sortedcollections (0.5.3)
sortedcontainers (1.5.7)
Sphinx (1.6.3)
sphinxcontrib-websupport (1.0.1)
spyder (3.2.4)
SQLAlchemy (1.1.13)
statsmodels (0.8.0)
sympy (1.1.1)
tables (3.4.2)
tblib (1.3.2)
testpath (0.3.1)
toolz (0.8.2)
tornado (4.5.2)
traitlets (4.3.2)
typing (3.6.2)
unicodecsv (0.14.1)
urllib3 (1.22)
wcwidth (0.1.7)
webencodings (0.5.1)
Werkzeug (0.12.2)
wheel (0.29.0)
widgetsnbextension (3.0.2)
win-inet-pton (1.0.1)
win-unicode-console (0.5)
wincertstore (0.2)
wrapt (1.10.11)
xlrd (1.1.0)
XlsxWriter (1.0.2)
xlwings (0.11.4)
xlwt (1.3.0)
zict (0.1.3)
You are using pip version 9.0.1, however version 19.1.1 is available.
You should consider upgrading via the ‘python -m pip install --upgrade pip’ command.
最后
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