findtharun

import logging
import boto3
from botocore.exceptions import ClientError

logger = logging.getLogger(__name__)
glacier=boto3.resource('glacier')


# Create a Vault
def create_vault(vault_name):

findtharun

int a;
int voltage_A2 = A2;
int actualvoltage;
int voltage;
void setup()

         {

         pinMode(8, OUTPUT);          //LED 1
         pinMode (9, OUTPUT);         //LED 2

findtharun

import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BOARD)           #define the pin that goes to the circuit
pin_to_circuit = 22
def rc_time (pin_to_circuit):
    count = 0                           #Output on the pin for
    GPIO.setup(pin_to_circuit, GPIO.OUT)
    GPIO.output(pin_to_circuit, GPIO.LOW)
    time.sleep(0.1)                            #Change the pin back to input
    GPIO.setup(pin_to_circuit, GPIO.IN)        #Count until the pin goes high

findtharun

import pandas_profiling
data.profile_report()

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from dataprep.eda import plot
plot(data)

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from dataprep.eda import plot
plot(data)

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import pandas as pd 
import numpy as np
from sklearn.svm import SVC
from sklearn.model_selection import train_test_split
from  sklearn import  datasets
data=pd.read_csv('Iris.csv')
# iris=datasets.load_iris()
# x=iris.data
# y=iris.target
#print(y)

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from quickda.explore_time_series import *
eda_timeseries(data, x='date', y='Occupancy')

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from quickda.explore_numeric import *
eda_num(data, method='correlation')

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from quickda.explore_data import *
explore(data)