$ docker
test |
Helper setup to edit .yaml files with Vim:
List of general purpose commands for Kubernetes management:
gsutil cp -r gs://midevfest.appspot.com/ . |
import 'package:flutter/material.dart'; | |
final Color darkBlue = Color.fromARGB(255, 18, 32, 47); | |
void main() { | |
runApp(MyApp()); | |
} | |
class MyApp extends StatelessWidget { | |
@override |
import 'package:flutter/material.dart'; | |
void main() => runApp(MyApp()); | |
class MyApp extends StatelessWidget { | |
// This widget is the root of your application. | |
@override | |
Widget build(BuildContext context) { | |
return MaterialApp( | |
title: 'Flutter Demo', |
Are you interested in TinyML? Below are a few resources to help you get up and running quickly with your own ML models running on the tiniest of microcontrollers.
Before you dive in! Read this excellent article on why TinyML is such a big deal.
The Arduino Nano 33 BLE Sense is a great starter board. It has an ARM Cortex M4 processor and a ton of sensors, including a 9-axis IMU, temperature and humidity sensors, a microphone, and more. It also supports Bluetooth and is programmable using a standard Micro USB cable.
Push Button Switch - https://elinux.org/images/4/4b/Mpushbuttonworking.jpg | |
Adafruit Starter Pack - https://www.adafruit.com/product/2678 | |
BLE Example - https://rootsaid.com/arduino-ble-example/ | |
NOTE: The Battery Level Service is "2A19" and not "2101" as described in the example | |
BLE Library - https://www.arduino.cc/en/Reference/ArduinoBLE | |
Excellent Background on BLE - https://www.novelbits.io/basics-bluetooth-low-energy/ |
Are you interested in getting started with the NVIDIA Nano Jetbot? The sections below contain links and insights I have gained as I explored the Nano Development kit and Jetbots.
The NVIDIA Jetbot has an excellent set of documentation and tutorials built up over time. It includes video series for those who do not like to read the boring manuals and detailed step-by-step instructions with diagrams on how to build a Jetbot.
Documentation can be found here.
Great question - this is often the best way to get started quickly and 'hacking away' on some Machine Learning examples. Below are two highly-rated kits from Sparkfun for the Jetbot.