Owais alshell7

Purpose

This section outlines the necessary steps to write a simple native "Hello World!" JNI-enabled Android application.
This section assumes you have read and followed the steps in Compiling C/C++ code directly from Android Studio

Writing JNI functions

Create a new Android Studio project. To do so, select File -> New -> New Project.

How to run Express inside an Electron app

You can run your Express app very easily inside your Electron app.

All you need to do is to:

place all the files of your Express app inside a new app folder in your_electron_app\resources\app
reconfigure the app.js file
refactor some relative pathes in your Express app

##Basically AsyncTask uses generic types in its parameters The three types used by an asynchronous task are the following:

Params, the type of the parameters sent to the task upon execution.
Progress, the type of the progress units published during the background computation.
Result, the type of the result of the background computation.

Not all types are always used by an asynchronous task. To mark a type as unused, simply use the type Void: private class MyTask extends AsyncTask<Void, Void, Void> { ... }

##Taking a very known and common example..

Use Python to:

send a plain text email
send an email with attachment
receive and filter emails according to some criteria

TensorFlow Tips & Tricks

GPU Memory Issues

nvidia-smi to check for current memory usage.
watch -n 1 nvidia-smi to monitor memory usage every second.
Often, extra Python processes can stay running in the background, maintaining a hold on the GPU memory, even if nvidia-smi doesn't show it.
- Probably due to running Keras in a notebook, and then running the cell that starts the processes again, since this will fork the current process, which has a hold on GPU memory. In the future, restart the kernel first, and stop all process before exiting (even though they are daemons and should stop automatically when the parent process ends).

Configuring the Digispark ATTINY85 board for Arduino IDE and upgrading the bootloader

Warning: this document has to be updated by pointing to https://github.com/SpenceKonde/ATTinyCore

This note describes the configuration of an ATtiny85 based microcontroller development board named Digispark and similar to the Arduino line. It is available in many online marketplaces for roughly 1 dollar (e.g., Ebay, Amazon, AliExpress) and is shipped fully assembled, including a V-USB interface (a software-only implementation of a low-speed USB device for Atmel's AVR microcontrollers). Coding is similar to Arduino: it uses the familiar Arduino IDE and is already provided with a ready-to-use bootloader (

	SHELL = /bin/bash
	WORKDIR = /vagrant

	PSQL = sudo -u postgres psql
	DBNAME = changeme
	DBUSER = changeme_user
	DBPASS = secret

	db/console:
	$(PSQL) $(DBNAME)

	package com.ibm.sentimentsensitiveapp;

	import android.os.AsyncTask;
	import android.support.v7.app.AppCompatActivity;
	import android.os.Bundle;
	import android.view.View;
	import android.widget.Button;
	import android.widget.EditText;
	import android.widget.TextView;

	# If your project uses WebView with JS, uncomment the following
	# and specify the fully qualified class name to the JavaScript interface
	# class:
	-keepclassmembers class fqcn.of.javascript.interface.for.webview {
	public *;
	}

	### RxJava, RxAndroid (https://gist.github.com/kosiara/487868792fbd3214f9c9)
	-keep class rx.schedulers.Schedulers {
	public static <methods>;

	# Create first network with Keras
	from keras.models import Sequential
	from keras.layers import Dense
	import numpy
	import threading as t
	import tensorflow as tf

	graph = tf.get_default_graph()

	def t_thread():