How The Future of Web3 Is Taking Shape

The internet and its applications have rapidly advanced over the past few years, moving from Web 1.0 to Web 2.0 and now Web 3.0. The decentralised web, or Web3, is the most recent major version of the internet that aims to create a reliable and secure decentralised network while also providing a number of cutting-edge capabilities.

The world wide web has undergone significant transformation since its debut in 1989. Web 1.0 was a read-only environment, whereas Web 2.0 saw a substantial move toward user interaction via centralised platforms like Google, Facebook, Amazon, etc. In the modern day, middlemen—those in charge of the digital platforms—control personal data. People therefore lack control over both their data and the information they produce.

Gaming and cryptocurrency will remain intertwined over time. Suffescom Solutions Inc. must be chosen if you're still trying to select which is the best Web3 Development Company.

Web 3.0 is frequently referred to as the internet's future. Ownership and control are decentralised, in contrast to the Web2 era. Web3, which was developed by the Ethereum ecosystem, provides improved privacy, more transparency, does away with middlemen, and makes it easier to implement solutions for data ownership and digital identification. Web3 is concentrated on changing back-end functionality, much like Web2 did for front-end functionality.

 

The Web3 Architecture

Today's Web3 architecture goes much beyond the internet's decentralised layer-based functionality. It has evolved into the point of confluence for a number of cutting-edge technologies, including edge computing, AI, IoT, and decentralised data networks. With Web3, it is inevitable that data and computing will go to the edge. The next generation of decentralised, user-owned, hyper-efficient edge networks is built using powerful computer resources. Different data generators may be able to exchange their data using decentralised data networks without giving up ownership control, privacy, or the requirement for a middleman.

Web3 technology, on the other hand, integrates machine learning and artificial intelligence to build a platform that connects people and machines and enables direct communication between those who have problems and those who can solve them. A deeper knowledge of human preference, as well as more accurate analysis and outcomes, are made possible by this synergy. Web 3.0 shifts from technology to upending social structures as a result.

Web 3.0 has the ability to bring radical innovation to all industries, as you can see from the example above.

However, application cases involving cryptography have so far been what have sped up the adoption of Web 3.0. This is due to the fact that the bulk of Web3 protocols strongly rely on early cryptocurrency use cases. Due to this, the bulk of initiatives now concentrate on bitcoin rather than the widespread adoption of Web3 technology outside of cryptocurrency.

The fact is that value-capturing middlemen may be removed via decentralised technologies. And this might be advantageous for the many, modern economies that have emerged. The gig economy is one such industry that Web3 technology has the potential to influence. The new technologies promise to do away with centralised platforms like Uber and Upwork, giving gig workers the opportunity to make money without filling the coffers of large businesses. AnyTask, which promises to give individuals in poverty commission-free and bankless access to the global digital economy, is a fantastic illustration of this.
 

Integrating Web3 Technology

Integrating Web3 technology into apps that are focused on the creator economy and intellectual capital is another example of such a use case. Intangible assets, the foundation of the creative economy, have grown to the point that they now account for over 90% of the market value of the S&P 500, according to a 2020 poll.

The statistic above demonstrates how the world is transitioning to a creative economy that is centred on intellectual capital, and it doesn't seem too far off for most resources to become commodities in the future. The creative economy therefore encompasses intangible assets that have grown to be the most valuable assets in the world, particularly the inventive enterprise, but their total value outside of enterprise is considerably beyond what we can fathom. Intellectual property not only has a high intrinsic worth but also gives investors a chance to speculate as their price rises. So it becomes crucial to be able to extract value from these assets.

There are projects developing a wide range of tools that facilitate the discovery, appraisal, licensing, and exchange of intangible assets in order to increase the liquidity flowing into the creative economy and promote widespread use of Web 3.0 for the creator economy. DEIP is one initiative developing such an architecture. The company offers tools and applications for the creative economy in addition to a set of Web3 protocols.

You might be asking yourself, "Don't these projects only serve as the intermediary, capturing the value in any case?" You'd be mistaken, though.

These initiatives are managed by decentralised autonomous organisations rather than a board of directors (DAO). DAOs provide democratic governance models that everyone can participate in, can direct any fees placed on creators or gig economy employees to the future development of the platforms itself, and are not focused on the profit-centric model of Web 2.0 and capitalism.
 

UFO Gaming

It's time to start thinking about concrete instances since we've been discussing abstract ideas for a while. UFO Gaming is an excellent illustration of how blockchain-based gaming is growing and fostering a new economy within an established sector.

Users of UFO Gaming are immersed in the "dark metaverse," a closed-loop ecosystem of P2E games. UFO Gaming is a fully decentralised social gaming platform built on the Ethereum blockchain. Similar to the early internet, Ethereum will have critics and challenges. Any developer can access the player records kept on the Ethereum Game Development from anywhere because blockchains are essentially extremely large, open databases.

Then, players can create in-game tools like armour, weaponry, and skins that they can use to carry out a range of tasks. Players can buy virtual land that is staked in the game and regarded as NFTs with the intention of winning prizes.
 

Summary

The internet has evolved into a hub for commerce, communication, and many other activities. And Web 3.0 has the ability to revolutionise value exchange and contracts. This suggests that through reinventing infrastructures surrounding storage, data interchange, and financial transactions through Web 3.0, the world may be able to improve many areas of our life in addition to merely reclaiming the Internet.

Web 3.0 is expected to alter many facets of society in addition to being an online progression.

 

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How to Bash Read Command

Bash has no built-in function to take the user’s input from the terminal. The read command of Bash is used to take the user’s input from the terminal. This command has different options to take an input from the user in different ways. Multiple inputs can be taken using the single read command. Different ways of using this command in the Bash script are described in this tutorial.

Syntax

read [options] [var1, var2, var3…]

The read command can be used without any argument or option. Many types of options can be used with this command to take the input of the particular data type. It can take more input from the user by defining the multiple variables with this command.

Some Useful Options of the Read Command

Some options of the read command require an additional parameter to use. The most commonly used options of the read command are mentioned in the following:

Option	Purpose
-d <delimiter>	It is used to take the input until the delimiter value is provided.
-n <number>	It is used to take the input of a particular number of characters from the terminal and stop taking the input earlier based on the delimiter.
-N <number>	It is used to take the input of the particular number of characters from the terminal, ignoring the delimiter.
-p <prompt>	It is used to print the output of the prompt message before taking the input.
-s	It is used to take the input without an echo. This option is mainly used to take the input for the password input.
-a	It is used to take the input for the indexed array.
-t <time>	It is used to set a time limit for taking the input.
-u <file descriptor>	It is used to take the input from the file.
-r	It is used to disable the backslashes.

 

Different Examples of the Read Command

The uses of read command with different options are shown in this part of this tutorial.

Example 1: Using Read Command without Any Option and variable

Create a Bash file with the following script that takes the input from the terminal using the read command without any option and variable. If no variable is used with the read command, the input value is stored in the $REPLY variable. The value of this variable is printed later after taking the input.

#!/bin/bash  
#Print the prompt message
echo "Enter your favorite color: "  
#Take the input
read  
#Print the input value
echo "Your favorite color is $REPLY"

Output:

The following output appears if the “Blue” value is taken as an input:

Example 2: Using Read Command with a Variable

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable. The method of taking the single or multiple variables using a read command is shown in this example. The values of all variables are printed later.

#!/bin/bash  
#Print the prompt message
echo "Enter the product name: "  
#Take the input with a single variable
read item

#Print the prompt message
echo "Enter the color variations of the product: "  
#Take three input values in three variables
read color1 color2 color3

#Print the input value
echo "The product name is $item."  
#Print the input values
echo "Available colors are $color1, $color2, and $color3."

Output:

The following output appears after taking a single input first and three inputs later:

Example 3: Using Read Command with -p Option

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable and the -p option. The input value is printed later.

#!/bin/bash  
#Take the input with the prompt message
read -p "Enter the book name: " book
#Print the input value
echo "Book name: $book"

Output:

The following output appears after taking the input:

Example 4: Using Read Command with -s Option

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable and the -s option. The input value of the password will not be displayed for the -s option. The input values are checked later for authentication. A success or failure message is also printed.

#!/bin/bash  
#Take the input with the prompt message
read -p "Enter your email: " email
#Take the secret input with the prompt message
read -sp "Enter your password: " password

#Add newline
echo ""

#Check the email and password for authentication
if [[ $email == "admin@example.com" && $password == "secret" ]]
then
   #Print the success message
   echo "Authenticated."
else
   #Print the failure message
   echo "Not authenticated."
fi

Output:

The following output appears after taking the valid and invalid input values:

Example 5: Using Read Command with -a Option

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable and the -a option. The array values are printed later after taking the input values from the terminal.

#!/bin/bash  
echo "Enter the country names: "  
#Take multiple inputs using an array  
read -a countries

echo "Country names are:"
#Read the array values
for country in ${countries[@]}
do
    echo $country
done

Output:

The following output appears after taking the array values:

Example 6: Using Read Command with -n Option

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable and the -n option.

#!/bin/bash  
#Print the prompt message
echo "Enter the product code: "  
#Take the input of five characters
read -n 5 code
#Add newline
echo ""
#Print the input value
echo "The product code is $code"

Output:

The following output appears if the “78342” value is taken as input:

Example 7: Using Read Command with -t Option

Create a Bash file with the following script that takes the input from the terminal using the read command with a variable and the -t option.

#!/bin/bash  
#Print the prompt message
echo -n "Write the result of 10-6: "  
#Take the input of five characters
read -t 3 answer

#Check the input value
if [[ $answer == "4" ]]
then
   echo "Correct answer."
else
   echo "Incorrect answer."
fi

Output:

The following output appears after taking the correct and incorrect input values:

Conclusion

The uses of some useful options of the read command are explained in this tutorial using multiple examples to know the basic uses of the read command.

Original article source at: https://linuxhint.com/

#bash #command 

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.

線形検索のためのPythonプログラム

このチュートリアルでは、Pythonで線形検索プログラムを作成する方法を学習します。

まず、線形検索（シーケンシャル検索とも呼ばれます）は、リストまたは配列内の要素を見つけるために使用されます。一致するものが見つかるか、リスト全体が検索されるまで、リストの各要素を1つずつ/順番にチェックします。

線形探索アルゴリズム

以下の手順に従って線形検索を実装します。

• ループを使用してリスト/配列をトラバースします。
• すべての反復で、target 値をリスト/配列の指定された値に関連付け ます。
  • 値が一致する場合は、リスト/配列の現在のインデックスを返します。
  • それ以外の場合は、次の配列/リスト要素に移動します。
• 一致するものが見つからない場合は、を返し -1ます。

線形検索のためのPythonプログラム

• whileループを使用した線形検索用のPythonプログラム
• Forループを使用した線形検索用のPythonプログラム
• 再帰を使用したPythonプログラムでの線形検索

whileループを使用した線形検索用のPythonプログラム

# 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))
    

プログラムの実行後、出力は次のようになります。

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.

Forループを使用した線形検索用のPythonプログラム

# 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))
    

プログラムの実行後、出力は次のようになります。

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.

再帰を使用したPythonプログラムでの線形検索

# 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))
    

プログラムの実行後、出力は次のようになります。

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.

リンク: https://www.tutsmake.com/linear-search-in-python/

#python 

Tìm kiếm tuyến tính bằng Python

Trong bài đăng python này, bạn sẽ tìm hiểu những điều sau:

• Tìm kiếm tuyến tính là gì?
• Thuật toán tìm kiếm tuyến tính
• Viết chương trình Python để tìm kiếm tuyến tính bằng While Loop
• Viết chương trình Python để tìm kiếm tuyến tính bằng For Loop
• Tìm kiếm tuyến tính trong Chương trình Python sử dụng Đệ quy

Tìm kiếm tuyến tính là gì?

Trước hết, Tìm kiếm tuyến tính, còn được gọi là tìm kiếm tuần tự, phương pháp này được sử dụng để tìm một phần tử trong danh sách hoặc mảng. Nó kiểm tra từng phần tử của danh sách một / tuần tự cho đến khi tìm thấy một kết quả phù hợp hoặc toàn bộ danh sách đã được tìm kiếm.

Thuật toán tìm kiếm tuyến tính

Triển khai tìm kiếm tuyến tính theo các bước sau:

• Duyệt qua danh sách / mảng bằng cách sử dụng một vòng lặp.
• Trong mỗi lần lặp, hãy liên kết  target giá trị với giá trị đã cho của danh sách / mảng.
  • Nếu các giá trị khớp, trả về chỉ mục hiện tại của danh sách / mảng.
  • Nếu không, hãy chuyển sang phần tử mảng / danh sách tiếp theo.
• Nếu không tìm thấy kết quả phù hợp, hãy quay lại  -1.

Viết chương trình Python để tìm kiếm tuyến tính bằng While Loop

# 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))

Sau khi thực hiện chương trình, kết quả đầu ra sẽ là:

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.

Viết chương trình Python để tìm kiếm tuyến tính bằng For Loop

# 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))

Sau khi thực hiện chương trình, kết quả đầu ra sẽ là:

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.

Tìm kiếm tuyến tính trong Chương trình Python sử dụng Đệ quy

# 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))

Sau khi thực hiện chương trình, kết quả đầu ra sẽ là:

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.

Линейный поиск в Python

В этом посте на Python вы узнаете следующее:

• Что такое линейный поиск?
• Алгоритм линейного поиска
• Напишите программу на Python для линейного поиска с использованием цикла while
• Напишите программу на Python для линейного поиска с использованием цикла For
• Линейный поиск в программе Python с использованием рекурсии

Что такое линейный поиск?

Прежде всего, линейный поиск, также известный как последовательный поиск, этот метод используется для поиска элемента в списке или массиве. Он проверяет каждый элемент списка один за другим / последовательно, пока не будет найдено совпадение или пока не будет выполнен поиск по всему списку.

Алгоритм линейного поиска

Реализуйте линейный поиск, выполнив следующие шаги:

• Просмотрите список / массив, используя цикл.
• На каждой итерации связывайте  target значение с заданным значением списка / массива.
  • Если значения совпадают, вернуть текущий индекс списка / массива.
  • В противном случае перейдите к следующему элементу массива / списка.
• Если совпадений не найдено, вернитесь  -1.

Напишите программу на Python для линейного поиска с использованием цикла 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))

После выполнения программы вывод будет:

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.

Напишите программу на Python для линейного поиска с использованием цикла 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))

После выполнения программы вывод будет:

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.

Линейный поиск в программе Python с использованием рекурсии

# 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))

После выполнения программы вывод будет:

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.