Ubuntu development environment configuration

Simple steps for Ubuntu development environment

• Installing python3 with anaconda
  1. Find

     Anaconda3-4.2.0-Linux-x86_64.sh

     with ctrl+F on the web page

     

  2. Click and wait for download

  3. cd Downloads/

     and then

     bash Anaconda3-4.2.0-Linux-x86_64\(1\).sh

  4. After running the command there are several options to choose. Agree all and follow the instruction by Anaconda. Finally the folder will be on ~/anaconda3
  5. To address the problem of

     conda command not found

     if necessary(Note that anaconda will do this automatically for you. Therefore you can see conda version from another terminal). edit the

     ~/.bashrc

     file by

     sudo gedit ~/.bashrc

     . Put

     export PATH="~/anaconda3/bin:$PATH

     in the end of the file and lastly activate it with

     source ~/.bashrc

  6. Enter

     conda -V

     to see the conda version
• Install Java
  1. Download jdk from Oracle, make sure that you are picking up the right version to fit the Ubuntu platform and select the file end with .tar.gz
  2. Make a directory for Java under /usr/ with

     sudo mkdir /usr/lib/java

  3. Extract the jdk from /Downloads with

     tar -zxvf jdk-8u171-linux-x64.tar.gz

     . Rename the file and move it to the /usr/lib/java with

     sudo mv jdk /usr/lib/java/

  4. Configure path for Java by editing ~/.bashrc: Enter

     sudo gedit ~/.bashrc

     and then put

     export JAVA_HOME=/usr/lib/java/jdk export JRE_HOME=$JAVA_HOME/jre export CLASSPATH=.:$JAVA_HOME/lib:$JRE_HOME/lib:$CLASSPATH export PATH=$JAVA_HOME/bin:$JRE_HOME/bin:$PATH

  5. source ~/.bashrc

     activate Java

  6. java -version

     to check Java version
• Install Python3.5 with conda
  1. Create a virtual environment call dev with

     conda create -n dev python=3.5

• *Install tensorflow

  1. source activate dev

  2. pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.6.0-cp35-cp35m-linux_x86_64.whl