First of all install update and upgrade your system:
$ sudo apt update
$ sudo apt upgradeThen, install required libraries:
| import 'package:flutter/material.dart'; | |
| import 'dart:io'; | |
| import 'dart:async'; | |
| import 'dart:core'; | |
| void main() async { | |
| runApp(MyApp()); | |
| } | |
| class MyApp extends StatelessWidget { |
| var mqtt = require('mqtt'); | |
| // Don't forget to update accessToken constant with your device access token | |
| const thingsboardHost = "demo.thingsboard.io"; | |
| const accessToken = "YOUR_DEVICE_ACCESS_TOKEN"; | |
| const minTemperature = 17.5, maxTemperature = 30, minHumidity = 12, maxHumidity = 90; | |
| // Initialization of temperature and humidity data with random values | |
| var data = { | |
| temperature: minTemperature + (maxTemperature - minTemperature) * Math.random() , |
| # Copyright 2014 Google Inc. All Rights Reserved. | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| """ | |
| Beam decoder for tensorflow | |
| Sample usage: | |
| ``` | |
| from tf_beam_decoder import beam_decoder | |
| decoded_sparse, decoded_logprobs = beam_decoder( | |
| cell=cell, |
| #!/bin/bash | |
| ### | |
| # chkconfig: 345 20 80 | |
| # description: Vert.x application service script | |
| # processname: java | |
| # | |
| # Installation (CentOS): | |
| # copy file to /etc/init.d | |
| # chmod +x /etc/init.d/my-vertx-application |
Warning This is SEVERELY outdated, the current jupyter version is > 6.X, please refer to your current jupyter notebook installation!
Disclaimer : I just copied those shortcuts from Jupyter Menú > Help > Keyboard Shortcuts, I didn't wrote them myself.
Check your current shortcuts in your Help, shortcuts coule have been modified by extensions or your past self.
| """ | |
| Functions to create network diagrams from a list of Layers. | |
| Examples: | |
| Draw a minimal diagram to a pdf file: | |
| layers = lasagne.layers.get_all_layers(output_layer) | |
| draw_to_file(layers, 'network.pdf', output_shape=False) | |
| Draw a verbose diagram in an IPython notebook: |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| -- Max Jaderberg 4/9/13 | |
| -- GPU Effectiveness test | |
| require 'torch' | |
| require 'sys' | |
| require 'nn' | |
| require 'xlua' | |
| cmd = torch.CmdLine() | |
| cmd:text() |