Not only Mojo is great for writing high-performance code, but it also allows us to leverage huge Python ecosystem of libraries and tools. With seamless Python interoperability, Mojo can use Python for what it's good at, especially GUIs, without sacrificing performance in critical code. Let's take the classic Mandelbrot set algorithm and implement it in Mojo.
We'll introduce a Complex type and use it in our implementation.
| """Launch Gazebo server and client with command line arguments.""" | |
| """Spawn robot from URDF file.""" | |
| import os | |
| from ament_index_python.packages import get_package_share_directory | |
| from launch import LaunchDescription | |
| from launch.actions import ExecuteProcess | |
| from launch.substitutions import LaunchConfiguration | |
| def generate_launch_description(): |
| #!/usr/bin/env python | |
| # | |
| # Copyright (c) Diligent Robotics, 2018 | |
| # Copyright (c) Adam Allevato, 2018 | |
| # All rights reserved. | |
| # | |
| # Redistribution and use in source and binary forms, with or without | |
| # modification, are permitted provided that the following conditions are met: | |
| # | |
| # * Redistributions of source code must retain the above copyright notice, this |
https://github.com/aancel/admin/wiki/VirtualGL-on-Ubuntu
https://virtualgl.org/About/Introduction
When you use ssh with X forwarding, you might have noticed that you cannot execute programs that require 3D acceleration. That's where VirtualGL comes into play.
| // | |
| // Simple listener.c program for UDP multicast | |
| // | |
| // Adapted from: | |
| // http://ntrg.cs.tcd.ie/undergrad/4ba2/multicast/antony/example.html | |
| // | |
| // Changes: | |
| // * Compiles for Windows as well as Linux | |
| // * Takes the port and group on the command line | |
| // |
| #!/usr/bin/env python | |
| import os | |
| import sys | |
| import argparse | |
| import logging | |
| import numpy | |
| from planetaryimage.pds3image import PDS3Image | |
| from struct import pack, unpack |
