R - ggplot2

data visualization with ggplot2

https://www.rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf

nohup - running program as background in linux

nohup ./workflow.sh &     # running as background

output is saved to  nohup.out


for terminate nohup

kill -9 PID number   # you can check PID number with 'top' command

Installing tensorflow - pip upgrade

for details, check https://www.tensorflow.org/install/install_linux


if step 4 failed, try upgrade pip

(tensorflow)$ pip install --upgrade pip

then try step 4 again

Installing with virtualenv

Take the following steps to install TensorFlow with Virtualenv:

1. Install pip and virtualenv by issuing one of the following commands:

   
   
   
   
   $ sudo apt-get install python-pip python-dev python-virtualenv # for Python 2.7
   $ sudo apt-get install python3-pip python3-dev python-virtualenv # for Python 3.n
2. Create a virtualenv environment by issuing one of the following commands:

   
   
   
   
   $ virtualenv --system-site-packages targetDirectory # for Python 2.7
   $ virtualenv --system-site-packages -p python3 targetDirectory # for Python 3.n

   where targetDirectory specifies the top of the virtualenv tree. Our instructions assume that targetDirectoryis ~/tensorflow, but you may choose any directory.
3. Activate the virtualenv environment by issuing one of the following commands:

   
   
   
   
   $ source ~/tensorflow/bin/activate # bash, sh, ksh, or zsh
    $ source ~/tensorflow/bin/activate.csh  # csh or tcsh

   The preceding source command should change your prompt to the following:

   
   
   
   
   (tensorflow)$ 
4. Issue one of the following commands to install TensorFlow in the active virtualenv environment:

   
   
   
   
   (tensorflow)$ pip install --upgrade tensorflow      # for Python 2.7
    (tensorflow)$ pip3 install --upgrade tensorflow     # for Python 3.n
    (tensorflow)$ pip install --upgrade tensorflow-gpu  # for Python 2.7 and GPU
    (tensorflow)$ pip3 install --upgrade tensorflow-gpu # for Python 3.n and GPU

   If the preceding command succeeds, skip Step 5. If the preceding command fails, perform Step 5.
5. (Optional) If Step 4 failed (typically because you invoked a pip version lower than 8.1), install TensorFlow in the active virtualenv environment by issuing a command of the following format:

   
   
   
   
   (tensorflow)$ pip install --upgrade tfBinaryURL   # Python 2.7
    (tensorflow)$ pip3 install --upgrade tfBinaryURL  # Python 3.n 

   where tfBinaryURL identifies the URL of the TensorFlow Python package. The appropriate value oftfBinaryURLdepends on the operating system, Python version, and GPU support. Find the appropriate value fortfBinaryURL for your system here. For example, if you are installing TensorFlow for Linux, Python 2.7, and CPU-only support, issue the following command to install TensorFlow in the active virtualenv environment: