win10-cpu
快捷键：win+R，输入cmd，然后开始吧~
keras-cpu
pip install keras
# Successfully installed keras-2.2.4 keras-applications-1.0.6 keras-preprocessing-1.0.5tensorflow-cpu
pip install --upgrade tensorflowsklearn
pip install sklearn
# Successfully installed sklearn-0.0GIT
安装教程：Windows10下安装Git
其他：
（1）cmd 里面运行git提示“不是内部或外部命令，也不是可运行的程序”:
# 配置环境变量：
D:\Program Files\Git\mingw64\bin
D:\Program Files\Git\mingw64\libexec\git-core（2）fatal: Not a git repository
git init
# 也就是说，在命令行敲入git init回车之后，再重新执行添加文件的命令即可。pyltp
第一次尝试：
pip install pyltp
# 结果：
# error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools第二、三次尝试：
由于pyltp安装时报错，需要Visual C++14.0的编译环境，因此首先电脑中需要先安装VC++14.0，对应的VS版本为VS2015。参考VS2015安装教程（带图解+下载地址+超详细）进行安装。
pip install pyltp
# 结果
# error: command 'D:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2下载并安装对应的ecos包（下载地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#ecos）
pip install D:\Tencent\ecos-2.0.7.post1-cp35-cp35m-win_amd64.whl
# Successfully installed ecos-2.0.7.post1
# 结果依然：
pip install pyltp
# error: command 'D:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\BIN\\x86_amd64\\cl.exe' failed with exit status 2第四次尝试：
set STATICBUILD=true && python -m pip install pyltp==0.1.9.1
# Successfully installed pyltp-0.1.9.1成功安装后下载模型（随便存放在哪里，但是使用时要调用模型地址的，可以统一存放在MODELDIR = "D:/Anaconda3/Lib/site-packages/pyltp-0.1.9.1.dist-info/ltp_data_v3.4.0"）：
地址：http://ltp.ai/download.html
注：3.4.0 版本 SRL模型 pisrl.model 如在windows系统下不可用，可以到 此链接 下载支持windows的语义角色标注模型。
pymysql
whl地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#Mysqlclient
# 第一次：
pip install mysqlclient
# 第二次：（先下载whl文件）
pip install D:\Tencent\mysqlclient-1.3.13-cp35-cp35m-win_amd64.whl
# Successfully installed mysqlclient-1.3.13
pytorch
https://pytorch.org/#pip-install-pytorch
conda install pytorch-cpu torchvision-cpu -c pytorch
# 结果
>>> import pytorch
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: No module named 'pytorch'
# 我真愚蠢，应该：
>>> import torchgensim
https://radimrehurek.com/gensim/install.html
conda install -c conda-forge gensimpython-Levenshtein
pip install python-Levenshteintextrank4zh
pip install textrank4zhfasttext
whl地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#fasttext
# 第一次：先下载whl放至文件夹下（D:\..文件夹地址..\fasttext-0.8.22-cp35-cp35m-win_amd64.whl)
pip install D:\Tencent/fasttext-0.8.22-cp35-cp35m-win_amd64.whl
# 结果：socket.timeout: The read operation timed out
# 第二次：设置超时时间
pip --default-timeout=100 install D:\软件\开发工具\whl\fasttext-0.8.22-cp35-cp35m-win_amd64.whl
# Successfully installed fasttext-0.8.22 pybind11-2.2.4pyhanlp
pip install pyhanlp
# Successfully installed jpype1-0.6.3 pyhanlp-0.1.44
# 下载hanlp的安装包:
# 第一次：import pyhanlp #它会自动下载jar包、data文件和properties文件到默认的目录
# 结果：No such file or directory: 'D:\\Anaconda3\\lib\\site-packages\\pyhanlp\\static\\hanlp-1.7.1-release.zip
# 第二次：手动下载：https://github.com/hankcs/HanLP/
1、下载：data.zip
2、下载jar和配置文件：hanlp-release.zip
# 结果：github-production-release-asset-2e65be.s3.amazonaws.com 意外终止了连接。
# 解决：将网址复制粘贴到他处后，将前https改为http再前往下载
# 第三次：import pyhanlp后
# 结果：jpype._jvmfinder.JVMNotFoundException: No JVM shared library file (jvm.dll) found. Try setting up the JAVA_HOME environment variable properly.
# 解决：下载jdk文件并配置环境变量
下载教程：https://jingyan.baidu.com/article/25648fc14849779191fd00fd.html
安装和配置环境变量教程：https://jingyan.baidu.com/article/f96699bb163475894e3c1be4.html
https://github.com/hankcs/HanLP/
tqdm
pip install tqdm
# Successfully installed tqdm-4.29.1scrapy
先安装Twisted，whl地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#twisted
pip install D:\软件\开发工具\whl\Twisted-18.9.0-cp35-cp35m-win_amd64.whl
# Successfully installed PyDispatcher-2.0.5 cssselect-1.0.3 parsel-1.5.1 pyasn1-modules-0.2.3 queuelib-1.5.0 scrapy-1.5.1 service-identity-18.1.0 w3lib-1.20.0
pip install scrapy
# Successfully installed PyDispatcher-2.0.5 cssselect-1.0.3 parsel-1.5.1 pyasn1-modules-0.2.3 queuelib-1.5.0 scrapy-1.5.1 service-identity-18.1.0 w3lib-1.20.0synonyms
## 第一次：
pip install -U synonyms
# 结果：
# Cannot uninstall 'six'. It is a distutils installed project and thus we cannot accurately # determine which files belong to it which would lead to only a partial uninstall.
# 解决：
pip install six --upgrade --ignore-installed six
# Successfully installed six-1.12.0
## 第二次：
pip install -U synonyms
# 结果：
# Cannot uninstall 'scikit-learn'. It is a distutils installed project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.
# 解决：
pip install --ignore-installed scikit-learn
# Successfully installed numpy-1.15.4 scikit-learn-0.20.2 scipy-1.2.0
## 第三次：
pip install -U synonyms
# Successfully installed scikit-learn-0.19.1 scipy-1.0.0 synonyms-3.10.1