Sophia Linnea

Sophia Linnea


How to Create your DeFi Token Instantly!

DeFi Token Development Company

In recent days DeFi tokens are very famous in market cap. The major functions in Defi such as borrowing, lending, investment, staking, trading, and risk management.

How to Create your DeFi Token Instantly!

As a Leading Token Development Company, Security Tokenizer helps to create your DeFi tokens like LINK, YFT, UNI, DAI, COMP, AAVE, etc., with SmartContract, ICO, IDO platforms along with Whitepaper, and advanced features as per your requirements.

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  • Strategic Investment Tokens

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How to Create your DeFi Token Instantly!
Easter  Deckow

Easter Deckow


PyTumblr: A Python Tumblr API v2 Client



Install via pip:

$ pip install pytumblr

Install from source:

$ git clone
$ cd pytumblr
$ python install


Create a client

A pytumblr.TumblrRestClient is the object you'll make all of your calls to the Tumblr API through. Creating one is this easy:

client = pytumblr.TumblrRestClient(
) # Grabs the current user information

Two easy ways to get your credentials to are:

  1. The built-in tool (if you already have a consumer key & secret)
  2. The Tumblr API console at
  3. Get sample login code at

Supported Methods

User Methods # get information about the authenticating user
client.dashboard() # get the dashboard for the authenticating user
client.likes() # get the likes for the authenticating user
client.following() # get the blogs followed by the authenticating user

client.follow('') # follow a blog
client.unfollow('') # unfollow a blog, reblogkey) # like a post
client.unlike(id, reblogkey) # unlike a post

Blog Methods

client.blog_info(blogName) # get information about a blog
client.posts(blogName, **params) # get posts for a blog
client.avatar(blogName) # get the avatar for a blog
client.blog_likes(blogName) # get the likes on a blog
client.followers(blogName) # get the followers of a blog
client.blog_following(blogName) # get the publicly exposed blogs that [blogName] follows
client.queue(blogName) # get the queue for a given blog
client.submission(blogName) # get the submissions for a given blog

Post Methods

Creating posts

PyTumblr lets you create all of the various types that Tumblr supports. When using these types there are a few defaults that are able to be used with any post type.

The default supported types are described below.

  • state - a string, the state of the post. Supported types are published, draft, queue, private
  • tags - a list, a list of strings that you want tagged on the post. eg: ["testing", "magic", "1"]
  • tweet - a string, the string of the customized tweet you want. eg: "Man I love my mega awesome post!"
  • date - a string, the customized GMT that you want
  • format - a string, the format that your post is in. Support types are html or markdown
  • slug - a string, the slug for the url of the post you want

We'll show examples throughout of these default examples while showcasing all the specific post types.

Creating a photo post

Creating a photo post supports a bunch of different options plus the described default options * caption - a string, the user supplied caption * link - a string, the "click-through" url for the photo * source - a string, the url for the photo you want to use (use this or the data parameter) * data - a list or string, a list of filepaths or a single file path for multipart file upload

#Creates a photo post using a source URL
client.create_photo(blogName, state="published", tags=["testing", "ok"],

#Creates a photo post using a local filepath
client.create_photo(blogName, state="queue", tags=["testing", "ok"],
                    tweet="Woah this is an incredible sweet post [URL]",

#Creates a photoset post using several local filepaths
client.create_photo(blogName, state="draft", tags=["jb is cool"], format="markdown",
                    data=["/Users/johnb/path/to/my/image.jpg", "/Users/johnb/Pictures/kittens.jpg"],
                    caption="## Mega sweet kittens")

Creating a text post

Creating a text post supports the same options as default and just a two other parameters * title - a string, the optional title for the post. Supports markdown or html * body - a string, the body of the of the post. Supports markdown or html

#Creating a text post
client.create_text(blogName, state="published", slug="testing-text-posts", title="Testing", body="testing1 2 3 4")

Creating a quote post

Creating a quote post supports the same options as default and two other parameter * quote - a string, the full text of the qote. Supports markdown or html * source - a string, the cited source. HTML supported

#Creating a quote post
client.create_quote(blogName, state="queue", quote="I am the Walrus", source="Ringo")

Creating a link post

  • title - a string, the title of post that you want. Supports HTML entities.
  • url - a string, the url that you want to create a link post for.
  • description - a string, the desciption of the link that you have
#Create a link post
client.create_link(blogName, title="I like to search things, you should too.", url="",
                   description="Search is pretty cool when a duck does it.")

Creating a chat post

Creating a chat post supports the same options as default and two other parameters * title - a string, the title of the chat post * conversation - a string, the text of the conversation/chat, with diablog labels (no html)

#Create a chat post
chat = """John: Testing can be fun!
Renee: Testing is tedious and so are you.
John: Aw.
client.create_chat(blogName, title="Renee just doesn't understand.", conversation=chat, tags=["renee", "testing"])

Creating an audio post

Creating an audio post allows for all default options and a has 3 other parameters. The only thing to keep in mind while dealing with audio posts is to make sure that you use the external_url parameter or data. You cannot use both at the same time. * caption - a string, the caption for your post * external_url - a string, the url of the site that hosts the audio file * data - a string, the filepath of the audio file you want to upload to Tumblr

#Creating an audio file
client.create_audio(blogName, caption="Rock out.", data="/Users/johnb/Music/my/new/sweet/album.mp3")

#lets use soundcloud!
client.create_audio(blogName, caption="Mega rock out.", external_url="")

Creating a video post

Creating a video post allows for all default options and has three other options. Like the other post types, it has some restrictions. You cannot use the embed and data parameters at the same time. * caption - a string, the caption for your post * embed - a string, the HTML embed code for the video * data - a string, the path of the file you want to upload

#Creating an upload from YouTube
client.create_video(blogName, caption="Jon Snow. Mega ridiculous sword.",

#Creating a video post from local file
client.create_video(blogName, caption="testing", data="/Users/johnb/testing/ok/")

Editing a post

Updating a post requires you knowing what type a post you're updating. You'll be able to supply to the post any of the options given above for updates.

client.edit_post(blogName, id=post_id, type="text", title="Updated")
client.edit_post(blogName, id=post_id, type="photo", data="/Users/johnb/mega/awesome.jpg")

Reblogging a Post

Reblogging a post just requires knowing the post id and the reblog key, which is supplied in the JSON of any post object.

client.reblog(blogName, id=125356, reblog_key="reblog_key")

Deleting a post

Deleting just requires that you own the post and have the post id

client.delete_post(blogName, 123456) # Deletes your post :(

A note on tags: When passing tags, as params, please pass them as a list (not a comma-separated string):

client.create_text(blogName, tags=['hello', 'world'], ...)

Getting notes for a post

In order to get the notes for a post, you need to have the post id and the blog that it is on.

data = client.notes(blogName, id='123456')

The results include a timestamp you can use to make future calls.

data = client.notes(blogName, id='123456', before_timestamp=data["_links"]["next"]["query_params"]["before_timestamp"])

Tagged Methods

# get posts with a given tag
client.tagged(tag, **params)

Using the interactive console

This client comes with a nice interactive console to run you through the OAuth process, grab your tokens (and store them for future use).

You'll need pyyaml installed to run it, but then it's just:

$ python

and away you go! Tokens are stored in ~/.tumblr and are also shared by other Tumblr API clients like the Ruby client.

Running tests

The tests (and coverage reports) are run with nose, like this:

python test

Author: tumblr
Source Code:
License: Apache-2.0 license

#python #api 

aaron silva

aaron silva


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 @

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

Tamale  Moses

Tamale Moses


Exploring Mutable and Immutable in Python

In this Python article, let's learn about Mutable and Immutable in Python. 

Mutable and Immutable in Python

Mutable is a fancy way of saying that the internal state of the object is changed/mutated. So, the simplest definition is: An object whose internal state can be changed is mutable. On the other hand, immutable doesn’t allow any change in the object once it has been created.

Both of these states are integral to Python data structure. If you want to become more knowledgeable in the entire Python Data Structure, take this free course which covers multiple data structures in Python including tuple data structure which is immutable. You will also receive a certificate on completion which is sure to add value to your portfolio.

Mutable Definition

Mutable is when something is changeable or has the ability to change. In Python, ‘mutable’ is the ability of objects to change their values. These are often the objects that store a collection of data.

Immutable Definition

Immutable is the when no change is possible over time. In Python, if the value of an object cannot be changed over time, then it is known as immutable. Once created, the value of these objects is permanent.

List of Mutable and Immutable objects

Objects of built-in type that are mutable are:

  • Lists
  • Sets
  • Dictionaries
  • User-Defined Classes (It purely depends upon the user to define the characteristics) 

Objects of built-in type that are immutable are:

  • Numbers (Integer, Rational, Float, Decimal, Complex & Booleans)
  • Strings
  • Tuples
  • Frozen Sets
  • User-Defined Classes (It purely depends upon the user to define the characteristics)

Object mutability is one of the characteristics that makes Python a dynamically typed language. Though Mutable and Immutable in Python is a very basic concept, it can at times be a little confusing due to the intransitive nature of immutability.

Objects in Python

In Python, everything is treated as an object. Every object has these three attributes:

  • Identity – This refers to the address that the object refers to in the computer’s memory.
  • Type – This refers to the kind of object that is created. For example- integer, list, string etc. 
  • Value – This refers to the value stored by the object. For example – List=[1,2,3] would hold the numbers 1,2 and 3

While ID and Type cannot be changed once it’s created, values can be changed for Mutable objects.

Check out this free python certificate course to get started with Python.

Mutable Objects in Python

I believe, rather than diving deep into the theory aspects of mutable and immutable in Python, a simple code would be the best way to depict what it means in Python. Hence, let us discuss the below code step-by-step:

#Creating a list which contains name of Indian cities  

cities = [‘Delhi’, ‘Mumbai’, ‘Kolkata’]

# Printing the elements from the list cities, separated by a comma & space

for city in cities:
		print(city, end=’, ’)

Output [1]: Delhi, Mumbai, Kolkata

#Printing the location of the object created in the memory address in hexadecimal format


Output [2]: 0x1691d7de8c8

#Adding a new city to the list cities


#Printing the elements from the list cities, separated by a comma & space 

for city in cities:
	print(city, end=’, ’)

Output [3]: Delhi, Mumbai, Kolkata, Chennai

#Printing the location of the object created in the memory address in hexadecimal format


Output [4]: 0x1691d7de8c8

The above example shows us that we were able to change the internal state of the object ‘cities’ by adding one more city ‘Chennai’ to it, yet, the memory address of the object did not change. This confirms that we did not create a new object, rather, the same object was changed or mutated. Hence, we can say that the object which is a type of list with reference variable name ‘cities’ is a MUTABLE OBJECT.

Let us now discuss the term IMMUTABLE. Considering that we understood what mutable stands for, it is obvious that the definition of immutable will have ‘NOT’ included in it. Here is the simplest definition of immutable– An object whose internal state can NOT be changed is IMMUTABLE.

Again, if you try and concentrate on different error messages, you have encountered, thrown by the respective IDE; you use you would be able to identify the immutable objects in Python. For instance, consider the below code & associated error message with it, while trying to change the value of a Tuple at index 0. 

#Creating a Tuple with variable name ‘foo’

foo = (1, 2)

#Changing the index[0] value from 1 to 3

foo[0] = 3
TypeError: 'tuple' object does not support item assignment 

Immutable Objects in Python

Once again, a simple code would be the best way to depict what immutable stands for. Hence, let us discuss the below code step-by-step:

#Creating a Tuple which contains English name of weekdays

weekdays = ‘Sunday’, ‘Monday’, ‘Tuesday’, ‘Wednesday’, ‘Thursday’, ‘Friday’, ‘Saturday’

# Printing the elements of tuple weekdays


Output [1]:  (‘Sunday’, ‘Monday’, ‘Tuesday’, ‘Wednesday’, ‘Thursday’, ‘Friday’, ‘Saturday’)

#Printing the location of the object created in the memory address in hexadecimal format


Output [2]: 0x1691cc35090

#tuples are immutable, so you cannot add new elements, hence, using merge of tuples with the # + operator to add a new imaginary day in the tuple ‘weekdays’

weekdays  +=  ‘Pythonday’,

#Printing the elements of tuple weekdays


Output [3]: (‘Sunday’, ‘Monday’, ‘Tuesday’, ‘Wednesday’, ‘Thursday’, ‘Friday’, ‘Saturday’, ‘Pythonday’)

#Printing the location of the object created in the memory address in hexadecimal format


Output [4]: 0x1691cc8ad68

This above example shows that we were able to use the same variable name that is referencing an object which is a type of tuple with seven elements in it. However, the ID or the memory location of the old & new tuple is not the same. We were not able to change the internal state of the object ‘weekdays’. The Python program manager created a new object in the memory address and the variable name ‘weekdays’ started referencing the new object with eight elements in it.  Hence, we can say that the object which is a type of tuple with reference variable name ‘weekdays’ is an IMMUTABLE OBJECT.

Also Read: Understanding the Exploratory Data Analysis (EDA) in Python

Where can you use mutable and immutable objects:

Mutable objects can be used where you want to allow for any updates. For example, you have a list of employee names in your organizations, and that needs to be updated every time a new member is hired. You can create a mutable list, and it can be updated easily.

Immutability offers a lot of useful applications to different sensitive tasks we do in a network centred environment where we allow for parallel processing. By creating immutable objects, you seal the values and ensure that no threads can invoke overwrite/update to your data. This is also useful in situations where you would like to write a piece of code that cannot be modified. For example, a debug code that attempts to find the value of an immutable object.

Watch outs:  Non transitive nature of Immutability:

OK! Now we do understand what mutable & immutable objects in Python are. Let’s go ahead and discuss the combination of these two and explore the possibilities. Let’s discuss, as to how will it behave if you have an immutable object which contains the mutable object(s)? Or vice versa? Let us again use a code to understand this behaviour–

#creating a tuple (immutable object) which contains 2 lists(mutable) as it’s elements

#The elements (lists) contains the name, age & gender 

person = (['Ayaan', 5, 'Male'], ['Aaradhya', 8, 'Female'])

#printing the tuple


Output [1]: (['Ayaan', 5, 'Male'], ['Aaradhya', 8, 'Female'])

#printing the location of the object created in the memory address in hexadecimal format


Output [2]: 0x1691ef47f88

#Changing the age for the 1st element. Selecting 1st element of tuple by using indexing [0] then 2nd element of the list by using indexing [1] and assigning a new value for age as 4

person[0][1] = 4

#printing the updated tuple


Output [3]: (['Ayaan', 4, 'Male'], ['Aaradhya', 8, 'Female'])

#printing the location of the object created in the memory address in hexadecimal format


Output [4]: 0x1691ef47f88

In the above code, you can see that the object ‘person’ is immutable since it is a type of tuple. However, it has two lists as it’s elements, and we can change the state of lists (lists being mutable). So, here we did not change the object reference inside the Tuple, but the referenced object was mutated.

Also Read: Real-Time Object Detection Using TensorFlow

Same way, let’s explore how it will behave if you have a mutable object which contains an immutable object? Let us again use a code to understand the behaviour–

#creating a list (mutable object) which contains tuples(immutable) as it’s elements

list1 = [(1, 2, 3), (4, 5, 6)]

#printing the list


Output [1]: [(1, 2, 3), (4, 5, 6)]

#printing the location of the object created in the memory address in hexadecimal format


Output [2]: 0x1691d5b13c8	

#changing object reference at index 0

list1[0] = (7, 8, 9)

#printing the list

Output [3]: [(7, 8, 9), (4, 5, 6)]

#printing the location of the object created in the memory address in hexadecimal format


Output [4]: 0x1691d5b13c8

As an individual, it completely depends upon you and your requirements as to what kind of data structure you would like to create with a combination of mutable & immutable objects. I hope that this information will help you while deciding the type of object you would like to select going forward.

Before I end our discussion on IMMUTABILITY, allow me to use the word ‘CAVITE’ when we discuss the String and Integers. There is an exception, and you may see some surprising results while checking the truthiness for immutability. For instance:
#creating an object of integer type with value 10 and reference variable name ‘x’ 

x = 10

#printing the value of ‘x’


Output [1]: 10

#Printing the location of the object created in the memory address in hexadecimal format


Output [2]: 0x538fb560

#creating an object of integer type with value 10 and reference variable name ‘y’

y = 10

#printing the value of ‘y’


Output [3]: 10

#Printing the location of the object created in the memory address in hexadecimal format


Output [4]: 0x538fb560

As per our discussion and understanding, so far, the memory address for x & y should have been different, since, 10 is an instance of Integer class which is immutable. However, as shown in the above code, it has the same memory address. This is not something that we expected. It seems that what we have understood and discussed, has an exception as well.

Quick checkPython Data Structures

Immutability of Tuple

Tuples are immutable and hence cannot have any changes in them once they are created in Python. This is because they support the same sequence operations as strings. We all know that strings are immutable. The index operator will select an element from a tuple just like in a string. Hence, they are immutable.

Exceptions in immutability

Like all, there are exceptions in the immutability in python too. Not all immutable objects are really mutable. This will lead to a lot of doubts in your mind. Let us just take an example to understand this.

Consider a tuple ‘tup’.

Now, if we consider tuple tup = (‘GreatLearning’,[4,3,1,2]) ;

We see that the tuple has elements of different data types. The first element here is a string which as we all know is immutable in nature. The second element is a list which we all know is mutable. Now, we all know that the tuple itself is an immutable data type. It cannot change its contents. But, the list inside it can change its contents. So, the value of the Immutable objects cannot be changed but its constituent objects can. change its value.


1. Difference between mutable vs immutable in Python?

Mutable ObjectImmutable Object
State of the object can be modified after it is created.State of the object can’t be modified once it is created.
They are not thread safe.They are thread safe
Mutable classes are not final.It is important to make the class final before creating an immutable object.

2. What are the mutable and immutable data types in Python?

  • Some mutable data types in Python are:

list, dictionary, set, user-defined classes.

  • Some immutable data types are: 

int, float, decimal, bool, string, tuple, range.

3. Are lists mutable in Python?

Lists in Python are mutable data types as the elements of the list can be modified, individual elements can be replaced, and the order of elements can be changed even after the list has been created.
(Examples related to lists have been discussed earlier in this blog.)

4. Why are tuples called immutable types?

Tuple and list data structures are very similar, but one big difference between the data types is that lists are mutable, whereas tuples are immutable. The reason for the tuple’s immutability is that once the elements are added to the tuple and the tuple has been created; it remains unchanged.

A programmer would always prefer building a code that can be reused instead of making the whole data object again. Still, even though tuples are immutable, like lists, they can contain any Python object, including mutable objects.

5. Are sets mutable in Python?

A set is an iterable unordered collection of data type which can be used to perform mathematical operations (like union, intersection, difference etc.). Every element in a set is unique and immutable, i.e. no duplicate values should be there, and the values can’t be changed. However, we can add or remove items from the set as the set itself is mutable.

6. Are strings mutable in Python?

Strings are not mutable in Python. Strings are a immutable data types which means that its value cannot be updated.

Join Great Learning Academy’s free online courses and upgrade your skills today.

Original article source at:


aviana farren

aviana farren


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

aaron silva

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

Safemoon, a cryptocurrency developed in March 2021, attracted many investors to this platform. The demand for safemoon increases day by day due to the increase in the token value. Safemoon clone has the similar functions of the safemoon with customizable options to make it user oriented.

The three main functions that occur during each of the transactions in safemoon clone are liquidity provider acquisition, reflection, and manual burn. The 10% fee paid when selling the tokens is divided into two types where 5% of them are redistributed to the existing holders, and the other half of the 5% is converted to Binance coin and remaining tokens are used in pairing for the liquidity purpose.

Benefits of Safemoon clone:

  • Market ready product
  • Improved use case
  • Market based developing mechanism
  • User suggested functions
  • Safe & secure platform
  • Static rewards

Steps involved in the Safemoon like crypto

  • Create a token starts with deciding its name, logo, and total supply
  • Framework selection
  • Hand-pick the blockchain technology
  • Select your wallet for the account setup
  • Smart contract deployment
  • Include reflection, LP acquisition, and manual burn
  • Integration with Binance smart chain

The token transfer is facilitated now, it’s now the user option to list the tokens for the trading purpose. The cold storage facility enables the tokens to be protected from any unauthorised users.

There is a rapid increase in the number of cryptocurrency usage due to its decentralized nature. The transactions are handled by the computer without any human involvement, making it more secure and free from any theft or hackers. Infinite Block Tech is leading in the creation of DeFi marketplace. To create a DeFi token like safemoon we hired the experts, making the creation more safe, user friendly and convenient for the users. The cost of the development depends on the features the user demands. The user can either opt for the Safemoon like token development from scratch or create a token like Safemoon.

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