Top 10 Examples of NFTs

Non-fungible tokens

Nfts or non-fungible tokens are all of the headlines right now and the definition for an nft doesn't do much to clear up the confusion of

what they are and

why people are lining up to buy them,

so i thought it would be really helpful to look at some recent examples of nfts,

so you can get a feel for the marketplace and better understand why people are finding these items so valuable,

but let me first try to explain what nfts are,

nfts are a special kind of crypto asset that is part of the ethereum blockchain,

each nft represents a real world object like a piece of music a video an in-game item or a virtual baseball trading card,

these digital assets are then bought and sold online typically with cryptocurrency,

things like physical money or bitcoin are fungible meaning they can be exchanged for one another,

non-fungible tokens are unique and each one has a digital signature that can't be exchanged,

the owner of an nft can therefore use it to verify their ownership of their asset,

so let's look at my top 10 recent nft examples,

1 - Beetle's First 5 000

Beetle's first 5 000 days the artist people created a digital collage of 5 000 digital images that were created for his everyday series,

it became the first nft to be sold at a major auction house and christie's sold it for an eye-popping 69 million dollars,

2 - William Shatner's Memorabilia

Actor william shatner released a collection of nfts of personal memorabilia,

from his 60-year career,

he sold 125 000 units in just nine minutes,

including some of his early headshots a photo of shatner hugging star trek co-stars and even an x-ray of shatner's teeth,

3 - Grimes War Nymph

Singer and songwriter grimes made 5.8 million dollars selling a collection of 10 nfts,

the highest selling asset was a one-of-a-kind video called death of the old,

and it sold for three hundred and eighty nine thousand dollars.

4 - Nyan Cat

The crypto art rendition of the beloved gif nyan cat meme sold for 590 000 in online auction,

it was the first foray into nfts for creator chris torres,  

who said that he was surprised with the success,

but was glad that it,

open up the door to a whole new meme economy in the crypto world,

5 - Glennfittig Whiskey

Distillers william grant and son recently sold 15 bottles of 46 year-old

glenn fittig whiskey 18.000 and,

each one was accompanied by dollars for its own nft artistic impression of the bottle,

the nft allows the owner to show off their purchase and then act as a certificate of ownership.

6 - Jack Dorsey's First Tweet

Former twitter ceo jack dorsey sold his very first tweet from twitter's launch day back in march 2006,

the nft of the tweets sold for nearly three million dollars.

Dorsey says the money will be converted to bitcoin and then donated to a charity organization called give directly.

7 - Furniture Nfts

Argentinian designer andres reisinger sells furniture nfts,

that people can use in open worlds like decentraland or minecraft,

ryzenger's most expensive piece sold for a little under seventy thousand dollars.

8 - Nba Shorts

Top shots is an nba market place for

buying selling and trading videos of nba

moments,

their slogan is own the nba's

best place,

and lebron james is dunking against the houston rockets is currently their highest earning asset selling for 387 thousand dollars.

9 - Artifacts Digital Sneakers

In march 2001 artifact collected 3.1 million dollars in just a few minutes by selling a series of sneakers they co-created with another artist named fevocious,

10 - Taco Bell Gifts

Fast food giant taco bell commissioned a series of gifts based on dishes from their menu,

and taco bell donated all the proceeds from the sale to the taco bell foundation the company's charity organization.

so there we have it the top 10 nfts.

The musical notation inspires the name the c sharp language

Sharp represents the written note that should be raised in semitone in a pitch.

Microsoft first used c sharp in 1988, the syntax of c sharp is similar to that of c style family which includes java c and c plus plus.

C sharp is a good language for developing games and writing applications for embedded systems.

unity the market leader in commercial game engines also uses it to create games.

Today we will be discussing one of the interesting topics that is what is c sharp.

1 - What is  C # ?

2 - Where C # used?

3 - Characteristics of C #

4 - Benefits of C #

1 - What is c sharp programming language

C sharp is an open source programming language that is simple

modern

flexible and

versatile

Anders albert from microsoft created the c programming language used to write software programs in 2000.

It was later approved as an international standard by ekman 2002 and iso in 2003.

2 - Where C # used?

C-sharp is a general purpose programming Language, that can create a variety of programs and applications.

while it is heavily versatile it is mainly used for three different fields.

First field in which c-sharp is used is the web application development,

Second is the windows applications and the,

Third field in which c programming language is used is game development.

We will see all the three fields where c-sharp is being used one after the other so,

The first and foremost we will discuss the,

Web application development

Regardless of the platform you can still use the c-sharp programming language,

you can build dynamic websites and web apps using the.net platform or other open source platforms.

Windows applications

Microsoft created c-sharp for microsoft.

so it's no surprise that it's famous for creating windows applications.

It makes your development process run smoothly and features like c sharp garbage collector performs admirably.

Games Development

where c sharp is being extensively used,

developers in the gaming industry prefer the c sharp programming language.

this language is beneficial for creating fan favorite games.

in addition the unity game engine one of the most popular today is written in c plus plus and c sharp.

After understanding the field in which c

sharp programming language is used we will realize some c sharp characteristics.

3 - Characteristics of C #

First characteristics of c-sharp is that it is modern and easy.

Second characteristic is that it is fast and open source,

Third distinguishing feature of c-sharp is its cross-platform compatibility,

the following feature is security (save),

the fifth characteristic of c programming language is its versatility and,

the last characteristic is the evolution of c sharp programming language.

the characteristics we have seen in detail one by one.

First one is the Modern and easy characteristics of c sharp.

C-sharp is a simple modern and object-oriented programming language.

C was created to create a programming language that is simple to learn and supports modern functionality of all types of software development.

Second we have the fast and open source characteristics of c sharp.

C sharp is an open source and managed by the dot net foundation which is independent of microsoft.

In comparison to the other high level

programming languages c sharp is fast.

c version 8 has numerous performance enhancements.

Third characteristic of c-sharp programming language is its cross-platform capability

C programming language works on multiple platforms.

so you can create applications that run on windows linux and mac computers.

C-sharp apps can also be deployed in the cloud and containers.

Fourth characteristic of c-sharp programming language is the safety.

C-sharp is a type safe programming language.

C-sharp does not permit type conversions which may result in data loss or other issues.

c-sharp allows developers to write safe code csharp also focuses on writing efficient code.

Fifth characteristic of cesia programming language is its versatility.

c functions as a swiss army knife,

unlike almost all programming languages c sharp was created with a single goal to do.

C can be used to create today's modern software applications.

C-sharp can be used to create a wide range of applications such as windows client apps components and libraries services and apis web applications mobile applications cloud applications and video games.

Sixth characteristic of c programming language is its evolving nature.

C sharp version 8 is the most recent version of c.

if you look at the evolution of c programming language you will notice it is evolving faster than any other programming language.

C sharp is initially designed to write windows client applications,

but it can also now do almost anything including console cloud and modern machine learning software.

4 - Benefits of C #

The first benefit of c programming language is that all environments plugins and library supports c-sharp.

The next benefit is c-sharp can run desktop mobile and web applications and c-sharp offers cross-platform with dependable performance.

Following by that the next benefit is 2019 stack overflow survey 31.9 percent of the professional developers prefer the c programming language and have the third largest community.

The last and fourth benefit of c programming language is that c sharp received 67 percent approval as the most popular programming language globally.

A data scientist's role combines computer science statistics and mathematics,

they analyze process and model large sets of structured and unstructured data,

then interpret the results to create actionable plans for the companies.

Today's we're going to discuss how to become a data scientist,

Why to become a data scientist

Who is a data scientist

Data scientist  job descriptions and skills

How to become a data scientist.

1 - Why Become A Data Scientist

The answer can lie in the demand for this job, so according to the job vacancy on linkedin,

there's over 76 000 vacant jobs in india for data scientists,

and in the american job market there's over 240 000 jobs,

so data science is definitely a booming industry currently,

Now we will talk about the salary

since there's a lot of vacancy the demand for this job is pretty high,

though the competition is not that high,

now this will make you think about the salary package.

Even though the competition is not that high the salary for a data scientist is pretty decent in india.

it's on an average 7 lakh per annum,

while in the u.s job market a data scientist can earn around 10 560 dollars per year these data are based on class door.

Now we will see the top companies hiring data scientists

Top companies to name are

Deloitte

Accenture

Tcs

Fractal

Mind tree

Amazon

Citrix

Flipkart

Kpmg and even companies like

Mu sigma

Ibm

Linkedin

Ey genpak

Zs associates all of them hire data scientists.

2 - Who is a data scientist

So a data scientist is a big data Wrangler,

who gather and dissect large sets of structured and unshaped data.

they are logical experts who use their chops in both technology,

and social wisdom to find trends and manage data.

they use industry knowledge contextual understandings skepticism of existing assumptions to uncover solutions to business challenges.

A data scientist's work typically involves making sense of messy unstructured data and from sources such as smart devices social media feeds and emails that don't neatly fit into a database.

How does a data scientist help the organization

they help the organization in making smarter decisions,

assessing business decisions managing businesses efficiently and

use analytics to predict outcomes and

even leverage data for business decisions

3 - Data Scientist  Job Descriptions And Skills

so from one of the big fours deloitte their requirement for a data scientist job requires.

are in python

w power bi for business intelligence tools and

for data frameworks hadoop and

hive and for etl tools like sql alteryx ads etc

even the knowledge of machine learning is helpful in data science.

we will see according to accenture,

they also require experience of python and r and dependencies of

Pandas

Numpy

Ki kit learn etc

in their requirement

also we have seen knowledge of bi tools like power bi, tableau, cue lick view etc.

we will see the job description of a data scientist in linkedin.

They also require a qualification with sql experience with data visualization tools like tableau power bi etc,

Data analysis experience using spark kela or hive and a knowledge of a b testing.

We will see the skills required by a data scientist

First and foremost is organizational skills.

A data scientist requires organization skills to make decision for the business

they also need to have analytical skills and concepts of database and knowledge of programming languages like r and python.

A data scientist also requires to know

Artificial intelligence

Statistical analysis

Machine learning and

Data visualization tools like

Tableau and

Powerpi

We'll look into the tools that are required to know by a data scientist that are namely

R

Python

Hadoop

Tableau

Numpy

Pandas

Apache

Spark and

Power bi

Roles And Responsibilities Of A Data Scientist

The roles and responsibilities are mostly to transform data into tangible business value by analyzing information and collaborating on product development.

they also require to represent a scientific role where he plans implements and assess high level statistical models and strategize for application.

they are also required to perform a vital role in advancement of innovative strategies to understand the business consumer trends and management..

A data scientist also performs related tasks and tasks assigned by senior data scientist

Head of data science

Chief data officer or even

The employer.

They take leadership to explore different technologies and tools with a vision of creating innovative data driven insights for the business.

They are also required to collaborate with superior data scientists to communicate obstacles and finding to relevant stakeholders.

4 - How To Become A Data Scientist

So the pathway or roadmap to become a data scientist involves choosing a programming language to learn that can be r or python.

Then learn statistics and probability to understand statistical tools to work with,

They also need to have a hands-on experience in sql to retrieve data,