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 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

#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

vedraiyani

from __future__ import print_function, division

from keras.datasets import mnist
from keras.layers import Input, Dense, Reshape, Flatten, Dropout
from keras.layers import BatchNormalization, Activation
from keras.layers.advanced_activations import LeakyReLU

from keras.models import Sequential, Model
from keras.optimizers import Adam

vedraiyani

// actions/action_select_contact.js
function selectContact(contact) {
  return {
    type: 'CONTACT_SELECTED',
    payload: contact
  }
}
export default selectContact;

vedraiyani

#!/usr/bin/env python3
"""
To run: python3 nb2to3.py notebook-or-directory
"""
# Authors: Thomas Kluyver, Fernando Perez
# See: https://gist.github.com/takluyver/c8839593c615bb2f6e80

import argparse
import pathlib
from nbformat import read, write