10 major project that used java

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Java

1 Google

Google is a multibillion-dollar multinational technology corporation best known for its search engine. The word “Google” has become a verb, meaning “search the Internet for facts on (someone or something) using the Google search engine.” The search engine receives over 94 million monthly page views. “There is no universal programming language,” says Jeff Nelson, Product Technology Manager at Google. […] Supported languages include Java, Javascript, C++, Python, Go, Sawzal (a special logging language), and perhaps a few others.”

2 YouTube

In the United States, YouTube is the most popular sharing site. It was founded in 2005 by three retired PayPal employees. At 1.7 billion page views per month in the United States, YouTube has more traffic than any other initiative on this list. According to FreelancingGig, the major languages used in the development of YouTube are Java, Javascript, HTML, Python, Go, C, and C++.

3 Amazon

Amazon is largely an e-commerce company, and one of the world’s largest. They are, however, involved in cloud computing, broadcasting, and artificial intelligence. In the United States alone, Amazon has over 533 million monthly subscribers. According to some Amazon developers, they use HTML, CSS, and Javascript for the front end, and Java, C++, and Perl for the back end.

4 ebay

eBay is another e-commerce business that is better known for its consumer-to-consumer sales but also facilitates business-to-consumer sales. It was founded in 1995 on the brink of the dot com bubble. eBay gets 115+ million page views monthly in the United States. Their back end is created mainly with Java in order to accommodate the scale and security needed for such a massive business, according to High Scalability.

5 Facebook

Facebook is one of the world’s most popular social media platforms. It was first released in 2004, but it didn’t gain widespread popularity until after many changes. In the United States alone, Facebook gets over 616 million pages every month, but it has billions of users worldwide. “The frontend is written in PHP,” says Chris Piro, a former Facebook software developer (programming language). […] C (programming language), C++, and Java are used to write the majority of the backend services.”

6 twitter

Twitter was created in 2006, just two years after Facebook, and it is only second to Facebook in terms of user base. Since tweets are limited to 280 characters, it’s also known as a microblogging site. Twitter receives over 573 million page views each month. Twitter’s front end is built with HTML, CSS, and JavaScript (the normal suspects), while the back end is built with Java, Scala, Ruby, and C++, according to Pin Program.

7 LinkedIn

LinkedIn is another social media platform, although it stands out from the previous two. Your profile on LinkedIn is basically a resume, full of your skills and past work history, which makes for more professional networking. LinkedIn has 78+ million monthly page views in the United States. In Pin Program‘s same article, it’s mentioned that Java, Scala, and JavaScript are used in LinkedIn’s back end.

8 Uber

Uber is an American based international ride-sharing service and food-delivery service that was founded just 10 years ago in 2009. They dominate this space with a huge market share and 90+ million active users every month. Uber’s front end uses Javascript for the web and the back end is mostly Java, Python, Go, and Node.js, according to Jérôme Cukier, a software engineer at Uber. Uber’s Android app also uses Java, while their IOS app uses Swift and Objective-C.

9 Zillow

Zillow is a web application that helps users to search through a large directory of commercial, retail, and residential real estate, as well as schedule showings and contact agents. This year, their platform received over 37 million monthly page views. According to Stack Overflow and Yalantis, Zillow’s backend is mostly made up of Java and Python.

Zillow is a web application that helps users to search through a large directory of commercial, retail, and residential real estate, as well as schedule showings and contact agents. This year, their platform received over 37 million monthly page views. According to Stack Overflow and Yalantis, Zillow’s backend is mostly made up of Java and Python.

10 TripAdvisor

TripAdvisor is a website that lets you search through millions of restaurants, hotels, and other attractions, read reviews, and even book them. This year, their platform received over 114 million monthly page views. While the front end of the site uses HTML, CSS, and Javascript, the site’s backend uses Java to process user interface queries (UI). According to TripAdvisor’s Technical Operations Teams, this is the case.

I hoped you enjoyed this blog bye

5 Programming Languages for Game Development

Welcome guys to another blog

The video game industry was valued at $108 billion in 2017 and is expected to hit $128 billion by 2020. Big stars in computer gaming, such as PUBG and Fortnite, have made waves in 2018. All of the big names in video games were unveiled at the latest E3 meeting. As the decade continues, we hope to see even more.

If you’re a programmer or planning to be one, you may be hoping to cash in on the multibillion-dollar gaming industry. Learning the appropriate programming language is a good place to begin. Here are several programming languages to remember if you want to be a game maker.

  1. The C++ programming language
    C++ code, when written correctly, executes quickly. For games, you and the consumer both want it to be fast. Since C++ is the language of preference for practitioners, there are a plethora of tools available. C++ is used in a lot of AAA games. C++ is supported in a special way by the Unreal engine.
  2. C# You’ll almost always need a game engine if you want to make an impressive game. Unity3D, one of the best game engines available, supports C#. C# is also supported by Xamarin, another game engine. C# allows game developers to create games on virtually any platform and in any size. Is it better to play big games or little games? It’s no matter. Is it better to use Xbox, Windows, or Play Station, or to use IOS or Android? It’s no matter. C# is supposed to be easy to learn and use than C and C++, so it could be easier to master. MonoGame allows you to port the game to a variety of computers and platforms.
  3. Java can be used to build cross-platform games. It allows developers to create games on both desktop and smartphone platforms. Java is the official language for creating Android games. With the Android Studio optimised programming environment and OpenGL for graphics, everyone can get started quickly (JOGL). When making games with Java, the LibGDX platform for 2D games and JMonkeyEngine for 3D games are common choices. There are several game libraries designed for the JVM that should be investigated, such as LWJGL, a lightweight framework that uses OpenGL for rendering.
  4. JavaScript

JavaScript is a programming language that allows you to
One of the most versatile programming languages available is JavaScript. It has a wide range of applications. And it seems that game production is not on the agenda. Coffee Script and TypeScript, which are JavaScript’s co-workers, are also included. To begin with, JavaScript can be combined with HTML5 to create stunning web and browser games. Unity, one of the best game engines available, also uses JavaScript.

5. HTML5

HTML5 (Hypertext Mark-up Language)
The popularity of web games is growing. HTML5 is the mark-up language of choice if you choose to make one. It’s a more advanced version of HTML with additional functionality including the canvas and other components and attributes. When HTML5 is used in conjunction with JavaScript and WebGL for graphics, it performs admirably. Have a look at the Phaser structure.

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What careers can you get in machine learning?

Hi guys and welcome to another blog

Machine learning researchers

People who deal with data to build machine learning models are known as machine learning developers or data scientists. They use a mixture of machine learning algorithms and data to clean and interpret data and construct models.

A engineer

An AI developer creates AI models that use machine learning algorithms and deep learning neural networks to extract market knowledge that can be used to make large-scale business decisions. …… Programming, software engineering, and computer science are all skills that AI engineers possess.

Data Mining and Analysis.

Exploring and evaluating vast blocks of data to find relevant patterns and trends is what data mining is all about. It may be used for a range of purposes, including database marketing, credit risk control, fraud prevention, spam email screening, and even determining consumer sentiment.

Machine Learning Engineer

Self-running AI software is developed by machine learning engineers to simplify predictive models for suggested searches, virtual assistants, localisation tools, chatbots, and self-driving vehicles. They build machine learning programmes, use algorithms to make correct decisions, and troubleshoot data set issues.

Data Scientist.

Data scientists are in charge of converting big data into useful intelligence and developing applications and algorithms that assist businesses and organisations in determining the best course of action. Because of their close association, big data and data technology continue to have a significant influence on the planet.

Business Intelligence (BI) Developer.

An engineer who develops, deploys, and maintains business intelligence interfaces is known as a business intelligence developer. Query software, data analytics and dynamic dashboards, ad hoc reporting, and data modelling applications are only a few examples.

I have hoped you have enjoyed this blog bye

Welcome back to another blog and our topic is Reasons why people code?

Around the world millions of people program and have any reasons to code and here I have top five reasons why people program

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1 Programming allows you to make yourself valuable at work

Since very few people know how to code, there is a strong demand for those who do. Companies in Australia are still looking for people that can help them increase the quality of their websites and solve any issues that could arise. There are an increasing number of jobs available, and it is a very secure work since there are many businesses and start-ups in the world that need assistance but lack the necessary skills.

However, the overall payout is far higher than you would predict. Companies are increasingly searching for coders, so now may be the right time to start studying. That way, you’ll be able to choose which work best suits your needs rather than settling for whatever comes your way.

2 It will help you develop problem-solving skills

Coding, like every other language, is made up of specific laws to insure that everything runs smoothly. You may need to use your logic to solve any challenges that will arise if you understand how to use them. You’ll need to pay close attention to the details and start thinking about how you can make it as simple and quick as possible.

Coding is full of surprises, which means there are still a lot of issues to fix. You can learn to code if you want to improve your problem-solving abilities and unleash your imagination when creating unique and easy-to-use websites.

3 It creates new career opportunities

When it comes to your job, knowing how to code will be extremely beneficial. If you want to code full-time while still working on other projects, this ability would allow you to do so.

Acting as a freelancer online is one of the most appealing aspects of learning how to code. Freelancing and coding are both careers that encourage you to carry your work with you everywhere you go. If you like to make that extra money, you don’t have to be tied to an office and can comfortably work from home.

4 It enhances your productivity

One of the most beneficial aspects of learning to code is the creation of a whole different way of thought. If you’ve mastered the fundamentals, you’ll be amazed by how easy it is to multitask. That basically means you’ll be able to start automating a vast amount of tasks so they don’t take up as much time as they used to.

You will be able to concentrate on studying and doing more important tasks if you use this talent, and you will be much more successful at your work. You’ll be able to browse files even more quickly, write your own applications, and save a lot of time in the process.

5 It helps you communicate better with the engineers in your team

You may come across people in your team who have more technological skills than you do while working in any organisation. Engineers are unable to take you seriously if you have a challenge and don’t understand the fundamentals of how those systems work.

This is where knowing how to code can come in handy. Engineers are beneficial in a variety of situations and with most agencies, so learning how to interact successfully with them would enable you to receive their respect and assistance in whatever you need.

see you guys later bye!

Welcome back once again and here we have a topic of machine learning.

What is machine learning?

Machine Learning: Machine learning researchers look at the models, algorithms, and mathematics that machines use to enhance their results. Data science encompasses machine-learning algorithms that make use of data.

When should machine learning be used?

Machine learning is typically used where there is a scarcity of organised data. The vast majority of machine learning algorithms are designed to train models using tabular data (organized into independent rows and columns).

What is machine learning used for?

Machine learning is a form of data processing that automates the development of analytical models. It’s a subset of artificial intelligence focused on the premise that machines should learn from data, recognise patterns, and make decisions with little to no human interaction.

Is machine learning really useful?

Then, you will operationalize the machine learning, such as by using it to help provide insights or as part of a product. … “And unlike what any one person can analyse, machine learning can take vast amounts of data over time and make predictions to improve the customer experience and provide real value to the end-user.”

See you guys in the next blog!

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Machine learning

What was the first programming language?

what’s up guys and here we are in a blog.

. There are many programming languages in the world, but if you’ve ever wondered what the first software program was? If not, here is a blog post about it.

The first programming language is Fortran

Fortran (short for Formula Translation) was created in 1957 by John Backus and is probably the oldest programming language still in existence today. It’s made to do difficult statistical, quantitative, and theoretical tasks.

Fascinating facts about Fortran

The Fortran programming language is still widely used in a variety of science and engineering fields, and it continues to play an important role in many NASA programmes.

Both Python and Fortran are easy to comprehend. Since Python is more commonly used, and Fortran is currently considered a “speciality” language for numerical computation, it’s possibly easier to find good Python learning materials than good Fortran learning materials.

THE END BYEE

What you need to become a data scientist!

hi guys and here i have a blog for you. lets get started

1 Big data analytics entails the use and study of broad data sets in order to assist businesses in making better use of knowledge about customer trends and industry dynamics. The term “big data” refers to data sets that are so large and diverse that traditional data processing applications cannot handle them.

2 Java is a programming language used by programmers for a wide range of tasks. Java is one of the most basic and widely used programming languages, and it is required knowledge for anybody working in the field of computer science, including data scientists.

3 Machine Learning: Machine learning researchers look at the models, algorithms, and mathematics that machines use to enhance their results. Data science encompasses machine-learning algorithms that make use of data.

4 Hadoop: Hadoop is a set of open-source computing applications used by data scientists to work with large amounts of data. It was created by the Apache Software Foundation. Data scientists who know how to use the Hadoop suite of software also stand out from the crowd.

5 Python is a 1991 general-purpose programming language. Python is considered by many programmers to be fundamental information for every computer science professional. Python comes with interpreters that allow it to run on a number of operating systems.

6 Data Mining/Data Warehouse: Data mining is the practise of searching for previously unrecognised trends or observations within a vast collection of data. A data warehouse is a computer facility designed primarily to analyse data. Data scientists should be able to mine data as well as create data warehouses.

7 SAS is a software suite designed exclusively for data collection and interpretation in order to gain market insights. The ability to use and learn SAS is one of the most important fundamental skills for data scientists, as it allows them to bring value to their employers by solving real-world problems.

8 SQL stands for Structured Query Language, and it is a programming language for database administration. Both aspiring data scientists should stay up to date with the new SQL developments and advancements.

9 R is a programming language that specialises in statistics and graphics. R is considered fundamental expertise by many computer scientists. R is particularly important to data scientists because of its role in statistics.

These are all you need to become a data scientist bye everyone!

What’s up guys and welcome to another blog and here I have a quiz for you guys!

1 Does games like Fortnite , call of duty and Roblox have html ? True or false

2 Is java script a coding language ? True or false

3 who created coding?

4 When was python released?

5 Can robotics make your life easier? True or false

Try and answer here questions comment the answers first one to comment will be brilliant at coding. See you guys later and let’s get running to answer these questions

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The most commonly used programming languages by developers

Welcome

Java script is the most common programming language, with a share of 67.7%. HTML/CSS came in second at 63.1 percent. Wow, the difference between Java script and HTML/CSS is stark. SQL comes in second place with 54.7 percent, barely ahead of HTML/CSS. Python is in fourth place with 44.1 percent, behind Java and C++ (40.2 percent). We’ll catch up with you in the next fantastic update. These are the top 5 coding languages in the world, and if you learn one of these languages, you can be assured of a high-paying job. Isn’t that awesome and wonderful? The top 5 coding languages have wages ranging from $90,000 to $200,000, which is extraordinary and one of the most common occupations on the market. Programming workers are in high demand right now, and the industry is willing to embrace them.

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