What is TokenSwap (TOP) | What is TOP token

What is TokenSwap?

TokenSwap is a Decentralized Token Auction Platform. We hope to resolve a series of problems during the pre-sale process of Token assets, such as undisclosed auctions, poor liquidity, excessive handling fees, centralized platforms interference, and limited access to Token auctions.

TokenSwap will enable the following:

1). Enable easy access to Token exchange and auction release, KYC will not be required

2). Auctions carried out through Smart Contract, without being regulated by the platform

3). Both parties get involved in the transaction process, without the intervention of the platform, thus the handling fee is greatly reduced

4). Enable long tail auctions

5). User privacy is protected

6). No need to stake assets such as ETH

We hope to enable equal access to token exchange and auction, so that more startup blockchain projects can quickly grab attention from the capital market and the investors can quickly find new high-quality projects on TokenSwap and invest at the very beginning of the projects.

TokenSwap team aims to become the option for token exchange and auction in DeFi area and even the entire blockchain industry, build an assets collection center in the decentralized financial industry and become the infrastructure to support DeFi development.

We think that TokenSwap is a hybrid of Coinlist+Sotheby’s+Opensea.

DeFi, known as decentralized finance, featured with low trust cost peer-to-peer enables peer-to-peer transactions by removing third-party agencies interference. DeFi becomes the hottest area of blockchain in 2020.

How to use TokenSwap

On TokenSwap platform, project and investors will not be required to conduct any KYC and can directly participate in the token exchange and auction.

The auctioneers set the Token exchange ratio, auction date and upper limit of Tokens through onchain Smart Contract. The auction ends automatically when the upper limit amount is reached or the deadline is due. For example, if the project sets the crypto as ETH, the exchange ratio at 1:100, and the upper limit as 1000 ETH. In this case, 1 ETH can be exchanged for 100 target crypto. When the exchange volume of tokens reaches 1000 ETH, the auction ends automatically.

The auctioneers transfer the tokens to be sold into the on-chain funding pool(100000 tokens in the example), which is not placed in the custody of the TokenSwap platform, thus reducing the custody risk.

The investors participate in the auction and all assets involved will be transferred directly to the auctioneers’ account without the platform interference. Once the Smart Contract confirms that the assets have been sent to auctioneers, it will automatically transfer the corresponding tokens to the buyers’ account according to the previously fixed ratio.

Image for post

Image for post

When the project demand is met or the preset auction deadline is due, the auction is automatically concluded. The auctioneers are able to freely set auction upper limit and auction period and decide whether to initiate the second auction after the first auction is concluded.

TOP Economics(platform token)

Top serves the purposes of governance, liquidity and service charges. Top economy model is designed to reward the investors and auctioneers for their contribution to TokenSwap liquidity.

Top holders have rights to participate in community governance, such as decision-making, elections and supervision and use rights, etc.

Top total supply amounts to 10 million without additional issuance, 5% of which will be pre-mined and used as community funds, and the remaining 95% Top will be released 0.05% daily until the end.

Top Token distribution plan:

Community funds 5%: 500000 Top will be pre-mined and used as community funds. To realize real-time supervision, the address will be announced to the community.

Auction mining 50%: 5 million will be used to reward proportionally the auctioneers and investors for their liquidity contribution. This part of Top can be mined after the TokenSwap platform goes online.

Liquidity mining 20%: 2million Top will be distributed to liquidity providers in Uniswap pool. This part of Top can be minde within three months after the TokenSwap platform goes online.

Shareholders 17%: 1700000 Top of the total supply will be rewarded to TokenSwap platform shareholders. This part of Top will be released in batches within 1–2 years after the TokenSwap platform is online, and the address will be disclosed to the community for community supervision.

Team 8%: 800000 Top will be rewarded to the TokenSwap platform team. This part of Top will be released in batches within 2–3 years after the TokenSwap platform is online, and the address will be disclosed to the community for community supervision.

Would you like to earn TOP right now! ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
Message Board
☞ Documentation
☞ Coinmarketcap

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #tokenswap #top

What is GEEK

Buddha Community

What is TokenSwap (TOP) | What is TOP token

What is TokenSwap (TOP) | What is TOP token

What is TokenSwap?

TokenSwap is a Decentralized Token Auction Platform. We hope to resolve a series of problems during the pre-sale process of Token assets, such as undisclosed auctions, poor liquidity, excessive handling fees, centralized platforms interference, and limited access to Token auctions.

TokenSwap will enable the following:

1). Enable easy access to Token exchange and auction release, KYC will not be required

2). Auctions carried out through Smart Contract, without being regulated by the platform

3). Both parties get involved in the transaction process, without the intervention of the platform, thus the handling fee is greatly reduced

4). Enable long tail auctions

5). User privacy is protected

6). No need to stake assets such as ETH

We hope to enable equal access to token exchange and auction, so that more startup blockchain projects can quickly grab attention from the capital market and the investors can quickly find new high-quality projects on TokenSwap and invest at the very beginning of the projects.

TokenSwap team aims to become the option for token exchange and auction in DeFi area and even the entire blockchain industry, build an assets collection center in the decentralized financial industry and become the infrastructure to support DeFi development.

We think that TokenSwap is a hybrid of Coinlist+Sotheby’s+Opensea.

DeFi, known as decentralized finance, featured with low trust cost peer-to-peer enables peer-to-peer transactions by removing third-party agencies interference. DeFi becomes the hottest area of blockchain in 2020.

How to use TokenSwap

On TokenSwap platform, project and investors will not be required to conduct any KYC and can directly participate in the token exchange and auction.

The auctioneers set the Token exchange ratio, auction date and upper limit of Tokens through onchain Smart Contract. The auction ends automatically when the upper limit amount is reached or the deadline is due. For example, if the project sets the crypto as ETH, the exchange ratio at 1:100, and the upper limit as 1000 ETH. In this case, 1 ETH can be exchanged for 100 target crypto. When the exchange volume of tokens reaches 1000 ETH, the auction ends automatically.

The auctioneers transfer the tokens to be sold into the on-chain funding pool(100000 tokens in the example), which is not placed in the custody of the TokenSwap platform, thus reducing the custody risk.

The investors participate in the auction and all assets involved will be transferred directly to the auctioneers’ account without the platform interference. Once the Smart Contract confirms that the assets have been sent to auctioneers, it will automatically transfer the corresponding tokens to the buyers’ account according to the previously fixed ratio.

Image for post

Image for post

When the project demand is met or the preset auction deadline is due, the auction is automatically concluded. The auctioneers are able to freely set auction upper limit and auction period and decide whether to initiate the second auction after the first auction is concluded.

TOP Economics(platform token)

Top serves the purposes of governance, liquidity and service charges. Top economy model is designed to reward the investors and auctioneers for their contribution to TokenSwap liquidity.

Top holders have rights to participate in community governance, such as decision-making, elections and supervision and use rights, etc.

Top total supply amounts to 10 million without additional issuance, 5% of which will be pre-mined and used as community funds, and the remaining 95% Top will be released 0.05% daily until the end.

Top Token distribution plan:

Community funds 5%: 500000 Top will be pre-mined and used as community funds. To realize real-time supervision, the address will be announced to the community.

Auction mining 50%: 5 million will be used to reward proportionally the auctioneers and investors for their liquidity contribution. This part of Top can be mined after the TokenSwap platform goes online.

Liquidity mining 20%: 2million Top will be distributed to liquidity providers in Uniswap pool. This part of Top can be minde within three months after the TokenSwap platform goes online.

Shareholders 17%: 1700000 Top of the total supply will be rewarded to TokenSwap platform shareholders. This part of Top will be released in batches within 1–2 years after the TokenSwap platform is online, and the address will be disclosed to the community for community supervision.

Team 8%: 800000 Top will be rewarded to the TokenSwap platform team. This part of Top will be released in batches within 2–3 years after the TokenSwap platform is online, and the address will be disclosed to the community for community supervision.

Would you like to earn TOP right now! ☞ CLICK HERE

Looking for more information…

☞ Website
☞ Explorer
☞ Source Code
☞ Social Channel
Message Board
☞ Documentation
☞ Coinmarketcap

Thank for visiting and reading this article! I’m highly appreciate your actions! Please share if you liked it!

#bitcoin #crypto #tokenswap #top

Words Counted: A Ruby Natural Language Processor.

WordsCounted

We are all in the gutter, but some of us are looking at the stars.

-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Are you using WordsCounted to do something interesting? Please tell me about it.

 

Demo

Visit this website for one example of what you can do with WordsCounted.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: abitdodgy
Source code: https://github.com/abitdodgy/words_counted
License: MIT license

#ruby  #ruby-on-rails 

Royce  Reinger

Royce Reinger

1658068560

WordsCounted: A Ruby Natural Language Processor

WordsCounted

We are all in the gutter, but some of us are looking at the stars.

-- Oscar Wilde

WordsCounted is a Ruby NLP (natural language processor). WordsCounted lets you implement powerful tokensation strategies with a very flexible tokeniser class.

Features

  • Out of the box, get the following data from any string or readable file, or URL:
    • Token count and unique token count
    • Token densities, frequencies, and lengths
    • Char count and average chars per token
    • The longest tokens and their lengths
    • The most frequent tokens and their frequencies.
  • A flexible way to exclude tokens from the tokeniser. You can pass a string, regexp, symbol, lambda, or an array of any combination of those types for powerful tokenisation strategies.
  • Pass your own regexp rules to the tokeniser if you prefer. The default regexp filters special characters but keeps hyphens and apostrophes. It also plays nicely with diacritics (UTF and unicode characters): Bayrūt is treated as ["Bayrūt"] and not ["Bayr", "ū", "t"], for example.
  • Opens and reads files. Pass in a file path or a url instead of a string.

Installation

Add this line to your application's Gemfile:

gem 'words_counted'

And then execute:

$ bundle

Or install it yourself as:

$ gem install words_counted

Usage

Pass in a string or a file path, and an optional filter and/or regexp.

counter = WordsCounted.count(
  "We are all in the gutter, but some of us are looking at the stars."
)

# Using a file
counter = WordsCounted.from_file("path/or/url/to/my/file.txt")

.count and .from_file are convenience methods that take an input, tokenise it, and return an instance of WordsCounted::Counter initialized with the tokens. The WordsCounted::Tokeniser and WordsCounted::Counter classes can be used alone, however.

API

WordsCounted

WordsCounted.count(input, options = {})

Tokenises input and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.count("Hello Beirut!")

Accepts two options: exclude and regexp. See Excluding tokens from the analyser and Passing in a custom regexp respectively.

WordsCounted.from_file(path, options = {})

Reads and tokenises a file, and initializes a WordsCounted::Counter object with the resulting tokens.

counter = WordsCounted.from_file("hello_beirut.txt")

Accepts the same options as .count.

Tokeniser

The tokeniser allows you to tokenise text in a variety of ways. You can pass in your own rules for tokenisation, and apply a powerful filter with any combination of rules as long as they can boil down into a lambda.

Out of the box the tokeniser includes only alpha chars. Hyphenated tokens and tokens with apostrophes are considered a single token.

#tokenise([pattern: TOKEN_REGEXP, exclude: nil])

tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise

# With `exclude`
tokeniser = WordsCounted::Tokeniser.new("Hello Beirut!").tokenise(exclude: "hello")

# With `pattern`
tokeniser = WordsCounted::Tokeniser.new("I <3 Beirut!").tokenise(pattern: /[a-z]/i)

See Excluding tokens from the analyser and Passing in a custom regexp for more information.

Counter

The WordsCounted::Counter class allows you to collect various statistics from an array of tokens.

#token_count

Returns the token count of a given string.

counter.token_count #=> 15

#token_frequency

Returns a sorted (unstable) two-dimensional array where each element is a token and its frequency. The array is sorted by frequency in descending order.

counter.token_frequency

[
  ["the", 2],
  ["are", 2],
  ["we",  1],
  # ...
  ["all", 1]
]

#most_frequent_tokens

Returns a hash where each key-value pair is a token and its frequency.

counter.most_frequent_tokens

{ "are" => 2, "the" => 2 }

#token_lengths

Returns a sorted (unstable) two-dimentional array where each element contains a token and its length. The array is sorted by length in descending order.

counter.token_lengths

[
  ["looking", 7],
  ["gutter",  6],
  ["stars",   5],
  # ...
  ["in",      2]
]

#longest_tokens

Returns a hash where each key-value pair is a token and its length.

counter.longest_tokens

{ "looking" => 7 }

#token_density([ precision: 2 ])

Returns a sorted (unstable) two-dimentional array where each element contains a token and its density as a float, rounded to a precision of two. The array is sorted by density in descending order. It accepts a precision argument, which must be a float.

counter.token_density

[
  ["are",     0.13],
  ["the",     0.13],
  ["but",     0.07 ],
  # ...
  ["we",      0.07 ]
]

#char_count

Returns the char count of tokens.

counter.char_count #=> 76

#average_chars_per_token([ precision: 2 ])

Returns the average char count per token rounded to two decimal places. Accepts a precision argument which defaults to two. Precision must be a float.

counter.average_chars_per_token #=> 4

#uniq_token_count

Returns the number of unique tokens.

counter.uniq_token_count #=> 13

Excluding tokens from the tokeniser

You can exclude anything you want from the input by passing the exclude option. The exclude option accepts a variety of filters and is extremely flexible.

  1. A space-delimited string. The filter will normalise the string.
  2. A regular expression.
  3. A lambda.
  4. A symbol that names a predicate method. For example :odd?.
  5. An array of any combination of the above.
tokeniser =
  WordsCounted::Tokeniser.new(
    "Magnificent! That was magnificent, Trevor."
  )

# Using a string
tokeniser.tokenise(exclude: "was magnificent")
# => ["that", "trevor"]

# Using a regular expression
tokeniser.tokenise(exclude: /trevor/)
# => ["magnificent", "that", "was", "magnificent"]

# Using a lambda
tokeniser.tokenise(exclude: ->(t) { t.length < 4 })
# => ["magnificent", "that", "magnificent", "trevor"]

# Using symbol
tokeniser = WordsCounted::Tokeniser.new("Hello! محمد")
tokeniser.tokenise(exclude: :ascii_only?)
# => ["محمد"]

# Using an array
tokeniser = WordsCounted::Tokeniser.new(
  "Hello! اسماءنا هي محمد، كارولينا، سامي، وداني"
)
tokeniser.tokenise(
  exclude: [:ascii_only?, /محمد/, ->(t) { t.length > 6}, "و"]
)
# => ["هي", "سامي", "وداني"]

Passing in a custom regexp

The default regexp accounts for letters, hyphenated tokens, and apostrophes. This means twenty-one is treated as one token. So is Mohamad's.

/[\p{Alpha}\-']+/

You can pass your own criteria as a Ruby regular expression to split your string as desired.

For example, if you wanted to include numbers, you can override the regular expression:

counter = WordsCounted.count("Numbers 1, 2, and 3", pattern: /[\p{Alnum}\-']+/)
counter.tokens
#=> ["numbers", "1", "2", "and", "3"]

Opening and reading files

Use the from_file method to open files. from_file accepts the same options as .count. The file path can be a URL.

counter = WordsCounted.from_file("url/or/path/to/file.text")

Gotchas

A hyphen used in leu of an em or en dash will form part of the token. This affects the tokeniser algorithm.

counter = WordsCounted.count("How do you do?-you are well, I see.")
counter.token_frequency

[
  ["do",   2],
  ["how",  1],
  ["you",  1],
  ["-you", 1], # WTF, mate!
  ["are",  1],
  # ...
]

In this example -you and you are separate tokens. Also, the tokeniser does not include numbers by default. Remember that you can pass your own regular expression if the default behaviour does not fit your needs.

A note on case sensitivity

The program will normalise (downcase) all incoming strings for consistency and filters.

Roadmap

Ability to open URLs

def self.from_url
  # open url and send string here after removing html
end

Are you using WordsCounted to do something interesting? Please tell me about it.

Gem Version 

RubyDoc documentation.

Demo

Visit this website for one example of what you can do with WordsCounted.


Contributors

See contributors.

Contributing

  1. Fork it
  2. Create your feature branch (git checkout -b my-new-feature)
  3. Commit your changes (git commit -am 'Add some feature')
  4. Push to the branch (git push origin my-new-feature)
  5. Create new Pull Request

Author: Abitdodgy
Source Code: https://github.com/abitdodgy/words_counted 
License: MIT license

#ruby #nlp 

Lokesh Kumar

1603438098

Top 10 Trending Technologies Must Learn in 2021 | igmGuru

Technology has taken a place of more productiveness and give the best to the world. In the current situation, everything is done through the technical process, you don’t have to bother about doing task, everything will be done automatically.This is an article which has some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top trending technologies followed in 2021 and its impression in the coming future in the world.

  1. Data Science
    First in the list of newest technologies is surprisingly Data Science. Data Science is the automation that helps to be reasonable for complicated data. The data is produces in a very large amount every day by several companies which comprise sales data, customer profile information, server data, business data, and financial structures. Almost all of the data which is in the form of big data is very indeterminate. The character of a data scientist is to convert the indeterminate datasets into determinate datasets. Then these structured data will examine to recognize trends and patterns. These trends and patterns are beneficial to understand the company’s business performance, customer retention, and how they can be enhanced.

  2. DevOps
    Next one is DevOps, This technology is a mixture of two different things and they are development (Dev) and operations (Ops). This process and technology provide value to their customers in a continuous manner. This technology plays an important role in different aspects and they can be- IT operations, development, security, quality, and engineering to synchronize and cooperate to develop the best and more definitive products. By embracing a culture of DevOps with creative tools and techniques, because through that company will gain the capacity to preferable comeback to consumer requirement, expand the confidence in the request they construct, and accomplish business goals faster. This makes DevOps come into the top 10 trending technologies.

  3. Machine learning
    Next one is Machine learning which is constantly established in all the categories of companies or industries, generating a high command for skilled professionals. The machine learning retailing business is looking forward to enlarging to $8.81 billion by 2022. Machine learning practices is basically use for data mining, data analytics, and pattern recognition. In today’s scenario, Machine learning has its own reputed place in the industry. This makes machine learning come into the top 10 trending technologies. Get the best machine learning course and make yourself future-ready.

To want to know more click on Top 10 Trending Technologies in 2021

You may also read more blogs mentioned below

How to Become a Salesforce Developer

Python VS R Programming

The Scope of Hadoop and Big Data in 2021

#top trending technologies #top 10 trending technologies #top 10 trending technologies in 2021 #top trending technologies in 2021 #top 5 trending technologies in 2021 #top 5 trending technologies

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.

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