python爬虫所需要的第三方包

alembic==0.9.6
appdirs==1.4.3
asn1crypto==0.24.0
astroid==2.0.4
atomicwrites==1.3.0
attrs==19.1.0
Automat==0.7.0
backcall==0.1.0
bleach==3.1.0
blinker==1.4
certifi==2019.6.16
cffi==1.12.3
chardet==3.0.4
click==6.7
colorama==0.3.9
confuse==1.0.0
constantly==15.1.0
cryptography==2.6.1
cssselect==1.0.3
cycler==0.10.0
decorator==4.4.0
defusedxml==0.6.0
dominate==2.3.1
easygui==0.98.1
entrypoints==0.3
Flask==0.12.2
Flask-Bootstrap==3.3.7.1
Flask-Migrate==2.1.1
Flask-Moment==0.5.2
Flask-MySQL==1.4.0
Flask-Script==2.0.6
Flask-SQLAlchemy==2.3.2
Flask-Uploads==0.2.1
Flask-WTF==0.14.2
future==0.18.2
htmlmin==0.1.12
hyperlink==19.0.0
idna==2.8
importlib-metadata==0.18
incremental==17.5.0
ipykernel==5.1.1
ipython==7.5.0
ipython-genutils==0.2.0
ipywidgets==7.4.2
isort==4.3.4
itsdangerous==0.24
jedi==0.13.3
jieba==0.42.1
Jinja2==2.10
joblib==0.13.2
jsonschema==3.0.1
jupyter==1.0.0
jupyter-client==5.2.4
jupyter-console==6.0.0
jupyter-core==4.4.0
kiwisolver==1.1.0
lazy-object-proxy==1.3.1
llvmlite==0.29.0
lxml==4.3.3
Mako==1.0.7
MarkupSafe==1.0
matplotlib==3.1.0
mccabe==0.6.1
missingno==0.4.1
mistune==0.8.4
mod-pywebsocket==0.7.9
more-itertools==7.1.0
nbconvert==5.5.0
nbformat==4.4.0
notebook==5.7.8
numba==0.44.1
numpy==1.15.2
olefile==0.44
packaging==19.0
pandas==0.23.4
pandas-profiling==2.0.3
pandocfilters==1.4.2
parsel==1.5.1
parso==0.4.0
patsy==0.5.1
phik==0.9.8
pickleshare==0.7.5
Pillow==6.1.0
plotly==4.0.0
pluggy==0.12.0
prometheus-client==0.7.0
prompt-toolkit==2.0.9
py==1.8.0
pyarrow==0.17.0
pyasn1==0.4.5
pyasn1-modules==0.2.5
pycparser==2.19
PyDispatcher==2.0.5
Pygments==2.4.2
PyHamcrest==1.9.0
pylint==2.1.1
PyMySQL==0.8.0
pyOpenSSL==19.0.0
pyparsing==2.4.0
pypiwin32==223
pyrsistent==0.15.2
pytest==4.6.3
pytest-pylint==0.14.0
python-dateutil==2.6.1
python-editor==1.0.3
pytz==2018.5
pywin32==224
pywinpty==0.5.5
PyYAML==5.1.1
pyzmq==18.0.1
qtconsole==4.5.1
queuelib==1.5.0
quilt==2.9.15
requests==2.22.0
retrying==1.3.3
scikit-learn==0.21.2
scipy==1.3.0
Scrapy==1.6.0
seaborn==0.9.0
Send2Trash==1.5.0
service-identity==18.1.0
six==1.11.0
sklearn==0.0
SQLAlchemy==1.1.15
statsmodels==0.10.0
terminado==0.8.2
testpath==0.4.2
tornado==6.0.2
tqdm==4.45.0
traitlets==4.3.2
Twisted==19.2.0
typed-ast==1.1.0
urllib3==1.25.3
visitor==0.1.3
w3lib==1.20.0
wcwidth==0.1.7
webencodings==0.5.1
Werkzeug==0.12.2
widgetsnbextension==3.4.2
wordcloud==1.6.0
wrapt==1.10.11
WTForms==2.1
xlrd==1.2.0
zipp==0.5.1
zope.interface==4.6.0
 

（不知道怎么放文件进来，就拷内容吧，可以新建一个requirements.txt把东西粘贴进去，然后在cmd安装步骤： cd 到requirements.txt所在目录下执行
  pip install -r requirements.txt）

如果require.txt出错了，可以把上面的删除，重新执行。是顺序执行的，中间出错，后面的包不会被安装

出错的包最后可以删除版本号，利用pip直接安装。刚才错了一个Pywin32,直接安装不加版本号就是OK的