vedraiyani

Array

• Two Sum
• Best Time to Buy and Sell Stock
• Contains Duplicate
• Product of Array Except Self
• Maximum Subarray
• Maximum Product Subarray
• Find Minimum in Rotated Sorted Array

vedraiyani

import java.util.Arrays;
import java.util.function.Function;
import java.util.function.IntConsumer;
public class HelloWorld{
// https://blogs.oracle.com/javamagazine/behind-the-scenes-how-do-lambda-expressions-really-work-in-java
// javac .\HelloWorld.java 
// javap -p -c HelloWorld$1
    String sum="";
    public static void main(String []args){
        new HelloWorld().main(); //comment then uncomment below comments also

vedraiyani

import alpaca_trade_api as tradeapi
import time
import datetime
from datetime import timedelta
from pytz import timezone
tz = timezone('EST')

import numpy as np
import pandas as pd

vedraiyani

import java.util.ArrayList;
import java.util.List;

import redis.clients.jedis.Jedis;

public class RedisJava {

	public static void main(String[] args) {
		// Connecting to Redis server on localhost
		Jedis jedis = new Jedis("localhost", 8083);

vedraiyani

public class DefaultExceptionHandler implements Runnable {
    
    public void run() {
      //throw new RuntimeException();
      new Test().err();
    }
    
    public static void main(String[] args) {
        Thread thread = new Thread(new DefaultExceptionHandler());
        thread.setDefaultUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler(){

vedraiyani

#CODE

#Generate root password
import random, string
password = ''.join(random.choice(string.ascii_letters + string.digits) for i in range(20))

#Download ngrok
! wget -q -c -nc https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
! unzip -qq -n ngrok-stable-linux-amd64.zip
#Setup sshd

vedraiyani

import os
import requests
import json

SLACK_WEBHOOK= os.environ.get("SLACK_WEBHOOK")


def send_message(messages, channel="abhishek", username="beast"):
    """
    :param messages: list of texts

vedraiyani

def plot_eli5_top_explanations(
    model: Model, 
    image: np.array, 
    class_names_mapping: Dict[int, str],
    top_preds_count: int = 3,
    fig_name: Optional[str] = None
) -> None:
    
    image_columns = 3
    image_rows = math.ceil(top_preds_count / image_columns)

vedraiyani

Portainer on Windows 10

Here I have 2 methods for running portainer on windows, a quick, preferred method only requiring a fairly recent version of docker, or a more complicated method to try if that does not work.

Using docker.for.win.localhost

This setup will let you run Portainer on windows by using the docker.for.win.localhost endpoint.

Please note:

vedraiyani

/*

DESCRIPTION
-----------
Use NodeJS to read RFID ids through the USB serial stream. Code derived from this forum:
http://groups.google.com/group/nodejs/browse_thread/thread/e2b071b6a70a6eb1/086ec7fcb5036699

CODE REPOSITORY
---------------
https://gist.github.com/806605