create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "[email protected]"
#!/bin/bash | |
# | |
# A simple command to untar any tarball. | |
# | |
# For times when you don't care whether it was compressed | |
# with bzip2 or gzip, you just want to untar it already! | |
# | |
# Usage: untar [-v|--verbose] file | |
# |
create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "[email protected]"
% Values you will most likely want to change: | |
ROBOT_STEPS = 20; | |
COM_PORT = 'COM9'; | |
POLL_RATE = 0.1; | |
% Set up joystick | |
disp('Connecting to Xbox Controller... '); | |
XBOX_CONTROLLER = vrjoystick(1); | |
disp(caps(XBOX_CONTROLLER)); | |
%disp(INSTRFIND); |
This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.
The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.
For a more up to date code example with React & D3, see (VizHub: Stylized Scatter Plot)[https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d?edit=files&file=index.js].
# Setup Ubuntu | |
sudo apt update --yes | |
sudo apt upgrade --yes | |
# Get Miniconda and make it the main Python interpreter | |
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh | |
bash ~/miniconda.sh -b -p ~/miniconda | |
rm ~/miniconda.sh | |
export PATH=~/miniconda/bin:$PATH |
#!/bin/bash | |
### steps #### | |
# Verify the system has a cuda-capable gpu | |
# Download and install the nvidia cuda toolkit and cudnn | |
# Setup environmental variables | |
# Verify the installation | |
### | |
### to verify your gpu is cuda enable check |