Stefan  Harris

Stefan Harris

1625540337

🔴 My Take on Techlead Million Token | Ethereum & DeFi News

🔴 My Take on Techlead Million Token | Ethereum & DeFi News

COURSES
👉 DeFi Development Mastery: https://eattheblocks-pro.teachable.com/p/defi-development-mastery
👉 Profitable Flashloans: https://eattheblocks-pro.teachable.com/p/profitable-flashloans
👉 6 Figures Blockchain developer course: https://eattheblocks.com/6-figure-blockchain-developer

FREE TRAININGS
👉 How to find your first 6-Figures Blockchain Developer Job: https://eattheblocks.com/bootcamp
👉 Learn how to create Profitable Flashloans: https://eattheblocks.com/flash

FACEBOOK GROUP
👉 https://www.facebook.com/groups/222716919099261

Other Links:

#ethereum #defi

What is GEEK

Buddha Community

🔴 My Take on Techlead Million Token | Ethereum & DeFi News

Sophia Linnea

1630497850

Hi Good Day Wishes,
Your blog well describes the defi token development, its classification, benefits demands, and services. Here, I would like to suggest the best defi token development company.
Have a look >> https://www.securitytokenizer.io/defi-token-development

aaron silva

aaron silva

1622197808

SafeMoon Clone | Create A DeFi Token Like SafeMoon | DeFi token like SafeMoon

SafeMoon is a decentralized finance (DeFi) token. This token consists of RFI tokenomics and auto-liquidity generating protocol. A DeFi token like SafeMoon has reached the mainstream standards under the Binance Smart Chain. Its success and popularity have been immense, thus, making the majority of the business firms adopt this style of cryptocurrency as an alternative.

A DeFi token like SafeMoon is almost similar to the other crypto-token, but the only difference being that it charges a 10% transaction fee from the users who sell their tokens, in which 5% of the fee is distributed to the remaining SafeMoon owners. This feature rewards the owners for holding onto their tokens.

Read More @ https://bit.ly/3oFbJoJ

#create a defi token like safemoon #defi token like safemoon #safemoon token #safemoon token clone #defi token

Stefan  Harris

Stefan Harris

1625540337

🔴 My Take on Techlead Million Token | Ethereum & DeFi News

🔴 My Take on Techlead Million Token | Ethereum & DeFi News

COURSES
👉 DeFi Development Mastery: https://eattheblocks-pro.teachable.com/p/defi-development-mastery
👉 Profitable Flashloans: https://eattheblocks-pro.teachable.com/p/profitable-flashloans
👉 6 Figures Blockchain developer course: https://eattheblocks.com/6-figure-blockchain-developer

FREE TRAININGS
👉 How to find your first 6-Figures Blockchain Developer Job: https://eattheblocks.com/bootcamp
👉 Learn how to create Profitable Flashloans: https://eattheblocks.com/flash

FACEBOOK GROUP
👉 https://www.facebook.com/groups/222716919099261

Other Links:

#ethereum #defi

aviana farren

aviana farren

1623836330

Embrace the growth of DeFi Token Development Like SafeMoon in real-world

“The DeFi token development like SafeMoon was initially launched in March 2021 and created huge hype among global users. It is noted that more than 2 million holders have adopted this SafeMoon token in recent times after its launch in the market. The DeFi token like SafeMoon has hit the market cap for about $2.5 billion. This digital currency has experienced a steady increase in its price value to top the crypto list in the trade market. The future of cryptocurrency is expanding wide opportunities for upcoming investors and startups to make their investments worthy.”

The SafeMoon like token development is becoming more popular in the real world, making investors go crazy over these digital currencies since their value is soaring high in the marketplace. The DeFi like SafeMoon token has grabbed users attention in less time when compared to other crypto tokens in the market. The SafeMoon like token exists on the blockchain for the long run and does not rely on any intermediaries like financial institutions or exchanges. It has a peer-to-peer (P2P) network that benefits global users from experiencing fast and secure transactions.

What is SafeMoon?

SafeMoon is considered a decentralized finance (DeFi) token with great demand and value in the crypto market. It is mainly known for its functionalities like Reflection, LP Acquisition and burning. The DeFi token like SafeMoon functions exactly like tokenomics of the reflected finance, and it is operated through the Binance Smart Chain framework. It is a combination of liquidity generating protocol and RFI tokenomics in the blockchain platform. The launch of the SafeMoon token eliminates the need for central authority like banks or governments to benefit the users with secure processing at high speed without any interruption.

SafeMoon Tokenomics :

The SafeMoon tokenomics describes the economic status of the crypto tokens and has a more sound monetary policy than other competitors in the market. However, it is figured that investment towards DeFi like SafeMoon tokens has a higher potential for returns to benefit the investors in future and the risk associated with it is less. The total supply of SafeMoon tokens is estimated at 1,000,000,000,000,000, and 600,000,000,000 of these tokens are still in circulation. Burned Dev tokens supply is calculated as 223,000,000,000,000, and the shorthand is 223 Trillion. The Fair launch supply is closed around 777,000,000,000,000, and it is circulated for about 777 Trillion.

SafeMoon Specification :

The SafeMoon like DeFi token development is currently the fast-moving cryptos and struck the market cap for about $2,965,367,638. The SafeMoon token price value is found to be $0.000005065 that lured a wide range of audience attention in a short period. The total supply of tokens in the present is one quadrillion tokens.

SafeMoon Protocol :

The SafeMoon Protocol is considered as community-driven DeFi token that focuses on reflection, LP acquisition, and burn in each trade where the transaction is taxed into 5% fee redistributed to all existing holders, 5% fee is split into 50/50 where the half is sold by the contract into BNB and another half of SafeMoon tokens pairs with BNB and added as liquidity pair on PancakeSwap.

Safety: A step by step plan for ensuring 100% safety.

  • Dev burned all tokens in the wallet before the launch.
  • Fair launch on DxSale.
  • LP locked on DxLocker for four years
  • LP generated with every trade and locked on Pancake

Why is there a need for reflection & static?

The reflect mechanism effectively allows token holders to hang on their tokens based on percentages carried out and relying upon total tokens held by owners. The static rewards play a significant role in solving a host of problems to benefit the investors with profits based on the volume of tokens being traded in the market. This mechanism focuses on satisfying the early adopters selling their tokens after farming high APYs.

What is the role of Manual Burns?

The manual burns do matter at times, and sometimes they don’t. The continuous burn on any protocol is efficient for a shorter period, which means there is no possibility of controlling it in any way. It is necessary to have the SafeMoon like token burns controlled and promoted for further achievements over community rewards. It is possible that even manual burns and the amounts to be tracked down easily and advertised. The burn strategy of DeFi like SafeMoon token, is beneficial and rewarding for users engaged over the long term.

How efficient is Automatic Liquidity Pool (LP)?

The SafeMoon protocol ensures to take the assets automatically from token holders and locks them for liquidity. The main intention is to keep the holder in touch with the performance of the SafeMoon token by preventing the dips from whales when they are adopted for the mass trade-off.
The DeFi like SafeMoon token, has great price value in the trade market with fewer fluctuations.

Attractive features present in DeFi like SafeMoon token platform :

  • Stable Rewards
  • Manual Burning
  • LP Acquisition
  • Community Governed Tokens
  • RFI Staking Rewards
  • Automated Liquidity Pool
  • Automated Market Making

What are the benefits offered in SafeMoon like Token Development?

  • The SafeMoon like token development maintains high transparency over user transaction details to gain their trust.
  • It eliminates the need for intermediaries in DeFi token like SafeMoon platform to benefit the users with less gas fee, wait time and faster transaction speed.
  • The DeFi token development like SafeMoon supports borderless transactions for users to transfer funds from anywhere and anytime.
  • It benefits the token holders from gaining exclusive ownership rights over their purchased DeFi like SafeMoon tokens from the marketplace.
  • The smart contracts present in DeFi like SafeMoon token platform manages to operate the overall flow of transactions without any delay.
  • Investors can generate immediate liquidity from DeFi like SafeMoon tokens to increase their business revenue in a short period.

Summing Up :

The DeFi token development like SafeMoon is the next game-changer for the upcoming generation to explore the benefits for their business growth. The investments towards DeFi like SafeMoon token has excellent value in the long run that benefits the investors with high returns. It is highly efficient for trade, buy/sell and transaction. Investors can connect with any reputed blockchain company with professional experience developing a world-class DeFi like SafeMoon token platform with high-end features cost-effectively.

#defi token development like safemoon #defi like safemoon token #defi like safemoon token platform #safemoon like token development #defi token like safemoon

藤本  結衣

藤本 結衣

1636296420

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 

CODE VN

CODE VN

1637563159

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.