aashish-chaubey

from collections import Counter

name = "Aashish Chaubey"
vowels = "aeiou"

vowels_list = list(filter(lambda x: x in vowels, name.lower()))

print(f"Number of vowels in name is: {len(vowels_list)}")
print(dict(Counter(vowels_list)))

aashish-chaubey

import math

l = 50

def is_prime(num: int) -> bool:
    lim = math.floor(math.sqrt(num))
    for i in range(2, lim+1):
        if num % i == 0:
            return False
    return True

aashish-chaubey

def taskOfPairing(freq):
  count = 0
  marker = False
  for i in freq:
    if i != 0:
      count += i // 2
      if i % 2 != 0 and marker:
        count += 1
        marker = False
       elif i % 2 != 0:

aashish-chaubey

import pandas as pd

df = pd.DataFrame({'agent_id': [1, 1, 1, 1, 2, 2, 2, 2],
                   'date': ["2021-01-01", "2021-04-01", "2021-05-01", "2021-06-01", "2021-01-01", "2021-02-01", "2021-03-01", "2021-06-01"], 
                   'txn_amount': [100, 200, 100, 200, 100, 200, 100, 200],
                   'txn_status': ["Failure", "Success", "Failure", "Success", "Failure", "Success", "Failure", "Success"]})
df['date'] = pd.to_datetime(df['date'], format='%Y-%m-%d')

df1 = df.set_index('date')

aashish-chaubey

import firebase_admin
from firebase_admin import credentials
from firebase_admin import auth

cred = credentials.Certificate('secreatFile.json')
default_app = firebase_admin.initialize_app(cred)

# Search a user by email, ig registered
user = auth.get_user_by_email('chaubey.aashish@gmail.com')

aashish-chaubey

start_text = "RIFF"
import os
for i, filename in enumerate(os.listdir('./')):
    with open(filename, 'rb') as imageFile:
        if imageFile.read().startswith(b'RIFF'):
            print(f"{i+1}: {filename} - found!")
        else:
            continue

aashish-chaubey

import ibm_boto3
from ibm_botocore.client import Config, ClientError

# Constants for IBM COS values
COS_ENDPOINT = # Current list avaiable at https://control.cloud-object-storage.cloud.ibm.com/v2/endpoints
COS_API_KEY_ID = # eg "W00YiRnLW4a3fTjMB-odB-2ySfTrFBIQQWanc--P3byk"
COS_AUTH_ENDPOINT = "https://iam.cloud.ibm.com/identity/token"
COS_RESOURCE_CRN = # eg "crn:v1:bluemix:public:cloud-object-storage:global:a/3bf0d9003abfb5d29761c3e97696b71c:d6f04d83-6c4f-4a62-a165-696756d63903::"

# Create resource

aashish-chaubey

### Using the fuzzywuzzy package

fuzzywuzzy package in python implements the Lavenshtein distance between two string to calculate the similarity between the two.
Install 2 packages:  
  pip install fuzzywuzzy 
  pip install python-Levenshtein / conda install -c conda-forge python-levenshtein  
  
  `[I actually had an issue installing the package, so I used the conda installation for this this package]`
  
This package is required to suppress the warning for the default slow fuzzywuzzy package. 

aashish-chaubey

/**
 * @author Aashish Chaubey
 * @link https://github.com/aashish-chaubey
 */

/**
 * First Create a Promise my implementing it with a `new` keyword
 * Do all the heavy weight operations in the promise
 * Store the promise in a variable
 */

aashish-chaubey

/**
 * @author: Aashish
 * Date: 13-07-2019
 */

import java.util.*;

class Solution {
    
    static class Graph {