Customize Jupyter Notebook and Improve Programming Experience
create a conda env and install jupyter python
ref:https://github.com/calysto/octave_kernel
Github Kernels , a place where people summarized all kernels you can add to your jupyter notebook for daily use, like data analysis, machine learning, or deep learning. Python, R, and Octave are the pervasive kernels.
- install Python on your computer
- install Jupyter Notebook
- After installing Jupyter Notebook, you can execute jupyter notebook
Jupyter Notebook
- You can also change the default directory of the home page by generating the config file, and you can get the address where the file is
jupyter notebook --generate-config
- Search for the notebook_dir and change the value of dir (attention: Please delete the # at the very beginning)
c.NotebookApp.notebook_dir = u'C:/Users/Brillanting/Jupyter'
- Restart the jupyter notebook, and you will find the default directory has been changed
most kernels based on the existing software in your computer
macOS
- install Octave on Mac
Since there is no install package for Mac OS, we will use Homebrew to install it
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”
- Probably it will ask you to upgrade and update brew
brew upgrade && brew update
-
Install octave wait for about 10 minutes
brew install octave -
Install octave kernel
pip install octave-kernel
Windows
-
install Octave on Windows Octave Download
-
Add environment path
Variable Name: OCTAVE_EXECUTABLE
Variable Value: E:\Octave\Octave-5.1.0.0\mingw64\bin\octave-cli.exe
-
Change the tornado to 5.1.1
pip3 install tornado==5.1.1 -
Install octave kernel
pip install octave-kernel
Reference: IRkernel Github Instruction
Type command in R
install.packages('IRkernel')
IRkernel::installspec() # to register the kernel in the current R installation
Then
IRkernel::installspec(name = 'ir33', displayname = 'R 3.3')