This AI Media-Tech Startup Is Taking The OTT Industry By Storm - Analytics India Magazine

Built on #AI and #blockchain #technology, @Toch (Vogueme Technologies Pvt. Ltd.) aims to bring out the best of videos in online monetisation, engagement and #ecommerce
https://zcu.io/3gHl

#startup #ott #mediatech #netflix #amazonprime #hotstar

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This AI Media-Tech Startup Is Taking The OTT Industry By Storm - Analytics India Magazine

This AI Media-Tech Startup Is Taking The OTT Industry By Storm - Analytics India Magazine

Built on #AI and #blockchain #technology, @Toch (Vogueme Technologies Pvt. Ltd.) aims to bring out the best of videos in online monetisation, engagement and #ecommerce
https://zcu.io/3gHl

#startup #ott #mediatech #netflix #amazonprime #hotstar

AI & Data Science India Salary Study - 2021

The annual Analytics India Salary report presented by AIM and AnalytixLabs is the only annual study in India that delves into salary trends and provides a comprehensive view of the changing landscape of analytics salaries. The report, now in its seventh year, look at the distribution of average salaries across several categories including years of experience, metropolitan regions, industries, education levels, gender, tools, and skills.

The Data Analytics function is experiencing significant growth and development in terms of skills, capabilities, and funding. Last year, despite the pandemic, the Indian start-up industry witnessed $836.3 million investment, almost a 10% (9.7%) increase than the previous year. Also, more than one in five (21%) analytics teams across firms in India witnessed a growth in the last 12 months and the post-pandemic job market saw an upswing of data science jobs. The development of the data science domain is evidenced by the high salaries drawn by analytics professionals across the organization, with Analytics professionals doing relatively well in spite of the pandemic.

#featured #ai salaries in india #analytics salaries in india #analytics salary key trends #analytics salary trend #average data analytics salary #average salary of analytics professionals #data science salaries in india #data science salary study #latest data science salaries

This Startup Is Helping SMBs To Migrate On Cloud During Pandemic

Since the last few years, cloud computing has witnessed increased adoption and growth in India. While most cloud OEMs are either focused on the enterprises or startups, it misses out on catering to the mid-segment, i.e., SMBs.

There is a huge market gap in terms of the advantages that these companies could have taken out of cloud computing. This is primarily because of two reasons — one, these companies have been conservative about putting their data elsewhere and two, these companies assume that the cost of cloud computing would be far higher than the non-cloud computing hosting which they use.

However, with the current pandemic, the scenario is changing, and cloud conversations are becoming a norm. Companies are realising that it is a crucial time to adopt cloud in its infrastructure.

#startups #ai startup india #cloud platform india #startup india #ai

Recherche linéaire en Python

Dans cet article Python, vous apprendrez ce qui suit :

  • Qu'est-ce qu'une recherche linéaire ?
  • Algorithme de recherche linéaire
  • Écrire un programme Python pour la recherche linéaire à l'aide de la boucle While
  • Écrire un programme Python pour la recherche linéaire à l'aide de la boucle For
  • Recherche linéaire dans le programme Python à l'aide de la récursion

Qu'est-ce qu'une recherche linéaire ?

Tout d'abord, une recherche linéaire, également appelée recherche séquentielle, cette méthode est utilisée pour rechercher un élément dans une liste ou un tableau. Il vérifie chaque élément de la liste un par un / séquentiellement jusqu'à ce qu'une correspondance soit trouvée ou que toute la liste ait été recherchée.

Algorithme de recherche linéaire

Implémentez la recherche linéaire en suivant les étapes ci-dessous :

  • Parcourez la liste/le tableau à l'aide d'une boucle.
  • À chaque itération, associez la  target valeur à la valeur donnée de la liste/du tableau.
    • Si les valeurs correspondent, renvoie l'index actuel de la liste/du tableau.
    • Sinon, passez à l'élément de tableau/liste suivant.
  • Si aucune correspondance n'est trouvée, retournez  -1.

Écrire un programme Python pour la recherche linéaire à l'aide de la boucle While

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Écrire un programme Python pour la recherche linéaire à l'aide de la boucle For

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Recherche linéaire dans le programme Python à l'aide de la récursion

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

Après l'exécution du programme, la sortie sera :

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.

Pesquisa Linear em Python

Nesta postagem python, você aprenderá o seguinte:

  • O que é uma pesquisa linear?
  • Algoritmo de pesquisa linear
  • Escreva um programa Python para pesquisa linear usando loop while
  • Escreva um programa Python para pesquisa linear usando o loop for
  • Pesquisa linear no programa Python usando recursão

O que é uma pesquisa linear?

Em primeiro lugar, uma pesquisa linear, também conhecida como pesquisa sequencial, este método é usado para localizar um elemento dentro de uma lista ou array. Ele verifica cada elemento da lista um por um / sequencialmente até que uma correspondência seja encontrada ou toda a lista tenha sido pesquisada.

Algoritmo de pesquisa linear

Implemente a pesquisa linear seguindo as etapas abaixo:

  • Percorra a lista / array usando um loop.
  • Em cada iteração, associe o target valor ao  valor fornecido da lista / matriz.
    • Se os valores corresponderem, retorne o índice atual da lista / matriz.
    • Caso contrário, vá para o próximo elemento de array / lista.
  • Se nenhuma correspondência for encontrada, retorne  -1.

Escreva um programa Python para pesquisa linear usando loop while

# python program for linear search using while loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

while i < len(lst):
	if lst[i] == x:
		flag = True
		break

	i = i + 1

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Depois de executar o programa, a saída será:

Enter size of list :-  5
Enter the array of 0 element :-  10
Enter the array of 1 element :-  23
Enter the array of 2 element :-  56
Enter the array of 3 element :-  89
Enter the array of 4 element :-  200
Enter number to search in list :-  89
89 was found at index 3.

Escreva um programa Python para pesquisa linear usando o loop for

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

i = 0
flag = False

for i in range(len(lst)):
    if lst[i] == x:
        flag = True
        break

if flag == 1:
	print('{} was found at index {}.'.format(x, i))
else:
	print('{} was not found.'.format(x))

Depois de executar o programa, a saída será:

Enter size of list :-  6
Enter the array of 0 element :-  25
Enter the array of 1 element :-  50
Enter the array of 2 element :-  100
Enter the array of 3 element :-  200
Enter the array of 4 element :-  250
Enter the array of 5 element :-  650
Enter number to search in list :-  200
200 was found at index 3.

Pesquisa linear no programa Python usando recursão

# python program for linear search using for loop

#define list
lst = []

#take input list size
num = int(input("Enter size of list :- "))

for n in range(num):
    #append element in list/array
    numbers = int(input("Enter the array of %d element :- " %n))
    lst.append(numbers)

#take input number to be find in list   
x = int(input("Enter number to search in list :- "))

# Recursive function to linear search x in arr[l..r]  
def recLinearSearch( arr, l, r, x): 
    if r < l: 
        return -1
    if arr[l] == x: 
        return l 
    if arr[r] == x: 
        return r 
    return recLinearSearch(arr, l+1, r-1, x) 

res = recLinearSearch(lst, 0, len(lst)-1, x) 

if res != -1:
	print('{} was found at index {}.'.format(x, res))
else:
	print('{} was not found.'.format(x))

Depois de executar o programa, a saída será:

Enter size of list :-  5
Enter the array of 0 element :-  14
Enter the array of 1 element :-  25
Enter the array of 2 element :-  63
Enter the array of 3 element :-  42
Enter the array of 4 element :-  78
Enter number to search in list :-  78
78 was found at index 4.