## Notes for install Keras on Anaconda3: For some machines, you might find difficulties by following the official document of installing Keras for RStudio. There is the alternative to install Keras and your machine was purchased in 2012 or later. ## Step 1 Follow the document or video to install Anaconda3 and RStudio: User guide: Click here Video: A) Staff (https://web.microsoftstream.com/video/6 microsoftstream.com/video/33db8bdd-dd29-4c75-8cf9-4eaa0ac4dc08) ## Step 2 When finished, run these lines at Anaconda3 prompt. For example, if your environment with RStudio installed called “rstudio”. A) Click “Open

环境共享库；同时也可以选择性地不连接已安装的全局库。 conda 结合了 pip 和 virtualenv 的功能，比较方便地在不同环境之间进行切换，环境管理较为简单。 ## ★centos 安装 anaconda3 anaconda 下载地址：https://www.anaconda.com/products/distribution 不区分 linux 版本，一般 centos7，centos8，ubuntu2004，2204 ents/9/7/1/c/971c65a1849676a253c5e5f30d89ea8b/p53_1.jpg) 输入 yes Anaconda3 will now be installed into this location: /root/anaconda3 - Press ENTER to confirm the location - Press CTRL-C to abort the different location below [/root/anaconda3] >>> 默认是安装在/root/anaconda3目录下，如果不是root用户，请输入当前用户能访问的目录 # bash Anaconda3-2022.10-Linux-x86_64.sh -p /opt/anaconda3 # 这样可跳过软件安装路径确认阶段，直接安装到指定目录下

to change pytransform3.so. For example, in anaconda3 with Python 3.9, first search which CPython library is installed: $ otool -L /Users/my_username/anaconda3/bin/python Find any line includes Python /Users/my_username/anaconda3 -name "Python.framework/Versions/3.9/Python" $ find /Users/my_username/anaconda3 -name "libpython3.9.dylib" $ find /Users/my_username/anaconda3 -name "libpython3 /Users/my_username/anaconda3/lib/libpython3.9.dylib /Users/my_username/anaconda3/lib/python3.9/site- packages/pyarmor/cli/core/pytransform3.so $ codesign -f -s - /Users/my_username/anaconda3/lib/python3.9/

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes TIP: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed installer. TIP: If you are unsure of which option to download, choose the most recent version of Anaconda3, which includes Python 3.6, the most recent version of Python. If you are on Windows or macOS, choose

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes TIP: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed installer. TIP: If you are unsure of which option to download, choose the most recent version of Anaconda3, which includes Python 3.6, the most recent version of Python. If you are on Windows or macOS, choose

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes Tip: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed included with Anaconda and Miniconda. • The newest stable version of Python is quickly included with Anaconda3 and Miniconda3. • You can easily set up additional versions of Python such as 3.9 by downloading

appears, similar to the following: conda environments: base /home/username/Anaconda3 snowflakes * /home/username/Anaconda3/envs/snowflakes Tip: The active environment is the one with an asterisk (*) environment: # conda environments: # base /home/username/anaconda3 snakes * /home/username/anaconda3/envs/snakes snowflakes /home/username/anaconda3/envs/snowflakes The active environment is also displayed included with Anaconda and Miniconda. • The newest stable version of Python is quickly included with Anaconda3 and Miniconda3. • You can easily set up additional versions of Python such as 3.9 by downloading

this error. The solution is using install_name_tool to change pytransform3.so. For example, in anaconda3 with Python 3.9, first search which CPython library is installed: Find any line includes Python /Users/my_username/anaconda3 -name "Python.framework/Versions/3.9/Python" $ find /Users/my_username/anaconda3 -name "libpython3.9.dylib" $ find /Users/my_username/anaconda3 -name "libpython3 /Users/my_username/anaconda3/lib/libpython3.9.dylib /Users/my_username/anaconda3/lib/python3.9/site- packages/pyarmor/cli/core/pytransform3.so $ codesign -f -s - /Users/my_username/anaconda3/lib/python3.9/site-

OverflowError: timeout value is too large File "D:\Anaconda3\envs\py37\lib\threading.py", line 926, in _bootstrap_inner self.run() File "D:\Anaconda3\envs\py37\lib\site-packages\apache_beam\runners\worker\data_plane wait(next_call - time.time(): File "D:\Anaconda3\envs\py37\lib\threading.py", line 552, in wait signaled = self._cond.wait(timeout) File "D:\Anaconda3\envs\py37\lib\threading.py", line 300

OverflowError: timeout value is too large File "D:\Anaconda3\envs\py37\lib\threading.py", line 926, in _bootstrap_inner self.run() File "D:\Anaconda3\envs\py37\lib\site-packages\apache_beam\runners\worker\data_plane wait(next_call - time.time(): File "D:\Anaconda3\envs\py37\lib\threading.py", line 552, in wait signaled = self._cond.wait(timeout) File "D:\Anaconda3\envs\py37\lib\threading.py", line 300