/Anaconda2-5.0.0.1-Linux-x86_64.sh 安装完成后,Anaconda 会在 ~/.bashrc 文件中把 Anaconda2 的路径加到 PATH 里。...如下: # added by Anaconda2 installer export PATH="/apps/anaconda2/bin:$PATH" 管理 python 环境 查看当前使用的 Python...root * /apps/anaconda2 创建新的 Python 版本环境 这里创建了两个 Python 环境分别使用 2.6。...anaconda2/envs/python35 root * /apps/anaconda2 其中 * 号表示当前使用的 Python 环境 切换 Python 环境...python27 /apps/anaconda2/envs/python27 python35 * /apps/anaconda2/envs/
Solution Problem_0 $ conda update conda Traceback (most recent call last): File "/home/hok/anaconda2.../bin/conda", line 6, in sys.exit(conda.cli.main()) File "/home/hok/anaconda2/lib...main.py", line 162, in main return conda_exception_handler(_main, *args) File "/home/hok/anaconda2..._vendor.auxlib.path import expand File "/home/hok/anaconda2/lib/python2.7/site-packages/conda/_vendor.../auxlib/path.py", line 8, in import pkg_resources File "/home/hok/anaconda2/lib/
train.py", line 34, in quality_classify_model model.add(Activation('softmax')) File "/usr/local/app/anaconda2.../sequential.py", line 181, in add output_tensor = layer(self.outputs[0]) File "/usr/local/app/anaconda2...base_layer.py", line 457, in __call__ output = self.call(inputs, **kwargs) File "/usr/local/app/anaconda2.../keras/layers/core.py", line 299, in call return self.activation(inputs) File "/usr/local/app/anaconda2...找到了另一种方法,可以看到报错信息中最后落脚在: File "/usr/local/app/anaconda2/envs/tensorflow/lib/python2.7/site-packages
环境 可视化使用了pydot,但Pycharm会升级anaconda中的包,导致找不到,我执行了 sudo /home/cwh/anaconda2/bin/conda install -p /home/...cwh/anaconda2 pydot -y 重新安装pydot修复pydot找不到的问题; 另外pydot会找不到Graphviz,需要再安装 sudo /home/cwh/anaconda2/bin.../conda install -p /home/cwh/anaconda2 Graphviz -y 然后将Graphviz添加到环境变量中,修改/etc/environment为以下内容,重启系统(我的系统是...local/games:/home/cwh/android-sdk-linux/ndk-bundle:/home/cwh/android-sdk-linux/platform-tools:/home/cwh/anaconda2...graphviz-2.38.0-1/bin" 然后又会有Graphviz中找不到libgvplugin_pango.so.6的问题,根据官网Issue的解答,应该是少了依赖库 ldd /home/cwh/anaconda2
lancet': No such file or directory ¨G2G shell gcc -llzma --verbose ¨G3G locate liblzma /export/apps/anaconda2.../2.4.1/lib/liblzma.a /export/apps/anaconda2/2.4.1/lib/liblzma.la /export/apps/anaconda2/2.4.1/lib/liblzma.so.../export/apps/anaconda2/2.4.1/lib/liblzma.so.5 /export/apps/anaconda2/2.4.1/lib/liblzma.so.5.0.5 ¨G4G...export LD_LIBRARY_PATH=/export/apps/anaconda2/4.0.0/lib/:$LD_LIBRARY_PATH export LIBRARY_PATH=/export.../apps/anaconda2/4.0.0/lib/:$LIBRARY_PATH 为什么修改LD_LIBRARY_PATH呢 因为运行时动态库的搜索路径的先后顺序是: 1.编译目标代码时指定的动态库搜索路径
print f(np.array([1,2],dtype='float32'), np.array([3,4,5],dtype='float32')) File "/home/wangzhe/anaconda2..., line 871, in __call__ storage_map=getattr(self.fn, 'storage_map', None)) File "/home/wangzhe/anaconda2...link.py", line 314, in raise_with_op reraise(exc_type, exc_value, exc_trace) File "/home/wangzhe/anaconda2...print f(np.array([1,2],dtype='float32'), np.array([3,4,5],dtype='float32')) File "/home/wangzhe/anaconda2...line 871, in __call__ storage_map=getattr(self.fn, 'storage_map', None)) File "/home/wangzhe/anaconda2
1、python环境为Anaconda2,安装的环境为python2.7.12。...安装Anaconda2,路径为https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/ Anaconda2默认为base,重新生成一个虚拟环境(默认安装的
_Printer'>, 'os', , ) (77, , 'os', , ) (98, , 'os', , , 'os', , <module 'os' from 'D:\anaconda2\lib
参考文章:http://blog.csdn.net/u013581118/article/details/52081987 在你的主目录(自己的权限目录)下,使用下面的命令: export PATH=~/anaconda2.../bin:$PATH conda --v 如果结果是你的anaconda2的版本号,那就成功了!
一键 安装Ananconda 的 bash文件 源码: echo 'Install Anaconda2' bash ../...../Anaconda2/Anaconda2.sh 一键 设置conda永久镜像 的 bash文件 源码: echo 'Add permanent mirror' conda config --add
.安装anaconda,执行命令: bash ~/Downloads/Anaconda3-5.1.0-Linux-x86_64.sh 3.在安装过程中会显示配置路径 Prefix=/home/jsy/anaconda2...自带的python信息,需自己设置下环境变量 5.在终端输入$sudo gedit /etc/profile,打开profile文件 6.在文件末尾添加一行:export PATH=/home/jsy/anaconda2.../bin:$PATH,其中,将“/home/jsy/anaconda2/bin”替换为你实际的安装路径,保存。
由于我们访问的是Kerberos环境下的Kafka,所以需要使用源码模式安装confluent-kafka [root@cdh4 anaconda2]# /opt/cloudera/anaconda2/...bin/pip install --no-binary :all: confluent-kafka [root@cdh4 anaconda2]# /opt/cloudera/anaconda2/bin/...3.在命令行运行python2的示例代码向test Topic发送“python test value”消息 [root@cdh4 python_code]# /opt/cloudera/anaconda2
对应于Python2和Python3,Anaconda也有两种版本,分别为Anaconda2和Anaconda3。...然后会询问你安装路径,这里建议直接回车安装到默认路径(会在用户根目录下生成一个anaconda2的文件夹,类似 ~/anaconda2)。...[yes|no] [no] >>> no You may wish to edit your .bashrc to prepend the Anaconda2 install location to...PATH: export PATH=/usr/local/app/anaconda2/bin:$PATH Thank you for installing Anaconda2!...$ # 将anaconda的bin目录加入PATH,根据版本不同,也可能是~/anaconda3/bin $ echo 'export PATH="~/anaconda2/bin:$PATH"' >>
错误信息:bunzip2: command not found [/root/anaconda2] >>> PREFIX=/root/anaconda2 Anaconda2-5.0.0-Linux-ppc64le.sh
Traceback (most recent call last): File "<stdin ", line 1, in <module File "C:\Anaconda2\lib\site-packages...\keras\__init__.py", line 2, in <module from . import backend File "C:\Anaconda2\lib\site-packages...\keras\backend\__init__.py", line 68, in <module from .tensorflow_backend import * File "C:\Anaconda2...方法一:将C:\Anaconda2\Lib\site-packages\keras\backend\__init__.py的line 27修改 # Default backend: TensorFlow
首先需要找到anaconda2中jupyter文件,在anaconda2中的share文件中,对jupyter执行如下命令,来修改jupyter的权限: chmod +777 jupyter 之后重启jupyter
有时候,我们的电脑上或许会同时安装多个python的环境,譬如,我的电脑上同时装了anaconda2和3。...在安装的时候,譬如,我想在python3中装tensorflow,则需要在 C:\ProgramData\Anaconda2\envs\Anaconda3\Scripts 3的这个路径下,打开cmd,执行
Traceback (most recent call last): File "", line 1, in File "/cluster/home/ifiddes/anaconda2..._query_cls(entities, self, **kwargs) File "/cluster/home/ifiddes/anaconda2/lib/python2.7/site-packages..._set_entities(entities) File "/cluster/home/ifiddes/anaconda2/lib/python2.7/site-packages/sqlalchemy...orm/query.py", line 118, in _set_entities entity_wrapper(self, ent) File "/cluster/home/ifiddes/anaconda2
va = 100 def df_f(): va = 20 print va va = 9 print va df_f() print va 我们看到结果是这样的: D:\Anaconda2...va = 100 def df_f(): global va print va va = 9 print va df_f() print va D:\Anaconda2...我们按照上面的逻辑,在函数定义的时候,变量们都被开辟了空间,那么,这里的lst = [ ]其实也是被开辟空间了,所以,上面的函数运行的时候,append其实是同一个list,所以,结果是这样的: D:\Anaconda2...None): if lst == None: lst = [] lst.append(1) return lst print f() print f() D:\Anaconda2...print type((1)) print type((1,)) D:\Anaconda2\python.exe E:/academic/funny/python_one_one_code/cl_4/
支持在python shell上进行交互式访问HDFS 支持HDFS联邦 支持并发上传和下载 1.在命令行执行如下命令安装pywhdfs依赖 [root@cdh05 ~]# /opt/cloudera/anaconda2...2.验证pywhdfs依赖包是否安装成功 [root@cdh05 ~]# /opt/cloudera/anaconda2/bin/pip show pywhdfs ?...# export WEBHDFS_CONFIG=/data/disk1/python_code/webhdfs.cfg [root@cdh05 python_code]# /opt/cloudera/anaconda2...在命令行执行如下命令运行python_hdfs.py文件 [root@cdh05 python_code]# kinit hiveadmin [root@cdh05 python_code]# /opt/cloudera/anaconda2
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