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Why Python Is The Worst Choice For Mobile App Development?

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Why Python Is The Worst Choice For Mobile App Development?

Python is not considered ideal for mobile app development and game development due to high memory consumption

Python is an extremely popular programming language, the third most popular in the world, according to the TIOBE index. This programming language is widely used in scientific and numeric computing, education, and web development, and you probably interact with things coded in Python every day. As you know, Python is mostly used in desktop and web server-side development. Therefore, it is not considered ideal for mobile app development and game development due to the consumption of more memory and its slow processing speed compared to other programming languages. Here are the reasons why Python is not an ideal choice for mobile app development:

Difficulty in Using Other Languages

Many programmers dislike writing code in other programming languages. This is due to their perception that other languages are significantly more difficult to utilize. They may be accustomed to coding in Python, the world’s most user-friendly programming language.

If you are a die-hard Python enthusiast, you may be experiencing this problem. Pythonistas adore Python because it is easy, popular, and powerful. The major reason we like Python is that it is simple. When compared to other programming languages such as C++ and Java, Python is extremely simple to learn. Python is more closely related to human language, and we dislike some other languages that are more closely related to hardware.

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Slower to execute

Python is substantially slower than other programming languages like Java, C++, PHP, Javascript, Swift, and others when it comes to execution time. This is a major concern for programmers when creating huge programs with many lines of code. Python is a programming language with dynamic typing. That is, it performs many of the same programming tasks that static coding languages do during runtime compilation.

High Memory Consumption

Python is not always the ideal choice for memory-intensive workloads. Python’s memory consumption is largely owing to the data types’ versatility. When objects are no longer in scope, Python performs automatic garbage collection. Python seeks to alleviate much of the complexity of dynamic memory that programs like C and C++ require as a result of this feature. However, dealing with dynamic memory in big and long-running Python systems is problematic.

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If Not Python, then what?

Know that you know Python cannot be used for mobile app development than what option do you have? Which programming language can be used for mobile app development? Let’s have a look at the best programming languages and frameworks available for developing mobile applications.

Java

Firstly Java was the official language for Android App Development (but now it was replaced by Kotlin) and consequently, it is the most used language as well. Many of the apps in the Play Store are built with Java, and it is also the most supported language by Google. In addition to all this, Java has a great online community for support in case of any problems.

JavaScript

A high-level interpreted programming language, JavaScript is a multi-paradigm language that supports object-oriented and functional programming. It is not exactly a language that is primarily used for app development, but a language that is run by browsers and used to develop and control web pages. To use JavaScript for developing a mobile app only when it is used with CSS, HTML, and AJAX. The one key factor that makes developing apps on JavaScript convenient is that you only have to code the app once and it can be released on all the platforms including Android, iOS, and Windows. 

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C / C ++

C languages are positioned as high-performance languages, and this is important, especially if we are talking about something heavy like a mobile 3D game. But it’s worth making a reservation right away that you still have to resort to Java: without this language, you cannot create a full-fledged mobile application. The Android NDK will allow you to write in C / C ++ only a part of an application, for example, a library that can be connected to a program via Java.

Swift

A prospective game-changer in the mobile app development space – Swift is an open-source programming language specifically designed to work with iOS, OS X, and tvOS platforms. The language is flexible, scalable, and can easily adapt a safe programming pattern to add modern features to any app. Swift is expressive and fun to work with a scripting language, along with having the first industrial-quality systems. Examples of apps developed in Swift are Lyft, LinkedIn, Hipmunk, and more.

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Kotlin

If you are thinking seriously about Android App development, then Kotlin is the programming language to learn in 2022. It is probably the next big thing happening in the Android world. Even though Java is my preferred language, Kotlin has got native support, and many IDEs like IntelliJ IDEA and Android Studio is supporting Kotile for Android development.

In conclusion, Python is not used for mobile development because of speed. Since mobile phones have limited memory and processing capability, they need apps designed in a framework that’s fast to provide smooth functionality. Since Java is faster than Python it’s used in mobile development.

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JHipster Can Give An Edge To Your Full-Stack Java Projects

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JHipster Can Give An Edge To Your Full-Stack Java Projects

For your full-stack Java projects, there is no better option than JHipster.

JHipster is a long-lived and ambitious hybrid Java and JavaScript project that is dedicated to easing the development of full-stack Java applications using modern reactive front ends. The JHipster development team has consistently released new versions to keep up with industry changes. JHipster, or “Java Hipster,” is a handy application generator that will create for you a Spring Boot (that’s the Java part) and AngularJS (that’s the hipster part) application.

In a very short amount of time, JHipster has become very popular on Github, and it has been featured in online magazines – like InfoQ, Infoworld, and SD Times. JHipster focuses on generating a high-quality application with a Java back-end using an extensive set of Spring technologies; Spring Boot, Spring Security, Spring Data, Spring MVC (providing a framework for WebSockets, REST, and MVC), etc. an Angular.js front-end and a suite of pre-configured development tools like Yeoman, Maven, Gradle, Grunt, Gulp.js, and Bower. JHipster creates a fully configured Spring Boot application with a set of pre-defined screens for user management, monitoring, and logging. The generated Spring Boot application is specifically tailored to make working with Angular.js a smoother experience.

Contribution to Java

Out of the box, JHipster supports React, Vue, and Angular for the front end. It supports other frameworks, including Svelte, via plugins known as blueprints. On the back end, Spring Boot does the heavy lifting. In this regard, JHipster is similar to the Hilla framework, but with a more ambitious goal of supporting a wide variety of front-end stacks. At heart, JHipster is an advanced build tool that unifies the Java and JavaScript build toolchains and layers various administrative capabilities on top. In addition to full-stack applications, JHipster supports building microservices components and has scaffolding for both JPA-based relational datastores and NoSQL datastores such as MongoDB and Cassandra. It also has features for logging and analytics.

JHipster’s toolset includes a command-line and a domain-specific language (DSL) with a visual data modeler and a web-based constructor (think Spring Initializr on steroids). We’ll use the command line to get started. JHipster 7.0, released on March 23, updated the data model editor JDL Studio to version 2, added Snyk security vulnerability scanning, and introduced the JHipster Control Center to manage microservices. The release also updated dependencies and defaults and was followed by version 7.0.1 on April 2. Despite being the first major release in nearly two years, JHipster 7.0 has only a handful of other new features. End-to-end JavaScript testing has been switched from Protractor to Cypress, Vue.js is moved from a plugin into the JHipster core, and Angular uses Angular CLI instead of Webpack as the build system. JHipster 7.0 now requires Java 8 to 15. Dependency updates include Spring Boot 2.4, Angular 11, Typescript 4, Webpack 5 for React and Vue, and Docker Compose version 3. The code formatted Prettier for Java, Java 11, and PostgreSQL are new defaults.

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JHipster jump-starts new microservice and monolith applications by generating complete projects with CRUD screens, user management, administration, tests, Continuous Integration, and deployment. Initially only for Spring Boot, JHipster now also generates Micronaut, Quarkus, NodeJS, and .NET projects. Julien Dubois, Java developer advocacy manager at Microsoft, started the project more than six years ago and still leads it today. Unlike other application generators, such as Grails, JHipster doesn’t put layers of library-specific code into the generated output. Instead, it creates best-practice, production-level Java and Javascript code with just a tiny server-side support library. So developers can create an application with JHipster and then immediately “take over” – work on the code as if they wrote it all themselves, and never need to involve JHipster in the application again.

JHipster includes many different technologies for both monolith and microservice architectures. Back-end frameworks are Spring Boot, Quarkus, Micronaut, NodeJS, and NET. Except for Spring Boot, plugins – which JHipster calls “blueprints” – provide these frameworks. JHipster can generate front ends with React, Angular, and Vue.

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How Coding Boot Camps Can Be A Major Track Changer In Your Career?

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How Coding Boot Camps Can Be A Major Track Changer In Your Career?

Bootcamps give opportunities for students to network with area professionals, companies, and alumni and even promise jobs or internships

Coding boot camps are becoming a more popular way to get into the IT industry. Coding boot camps are often short, intensive training programs given online or in-person that teach practical, real-world coding skills and prepare graduates to enter the IT sector. Bootcamps frequently provide specialized training in a certain area of computer science, such as cybersecurity or data analytics. Coding boot camps, in reality, prepare students for a wide range of careers, including web development and UX/UI design. Continue reading to discover more about these various career paths, including typical wage levels, employment duties, and future career prospects.

Coding bootcamps teach students for a wide range of positions. The Bureau of Labour Statistics (BLS) predicts that job growth in computer and information technology (IT) professions would outperform that of many other occupations, with a rise of 11% between 2019 and 2029.

According to the Bureau of Labour Statistics, IT jobs pay well, with experts earning an average of $88,240 in 2019. Keep in mind that pay in the computer field might vary substantially based on location, experience, exact function, and expertise.

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Bootcamp Focus on practical skills

Coding boot camps are designed to assist you in breaking into a career in technology. These classes will teach you the skills you’ll need for a new profession, whether it’s as a Web developer, game developer, cybersecurity engineer, or something else entirely. During a coding Bootcamp, you will focus on obtaining the skills you need to succeed based on current market trends. Your course should be updated to incorporate new programming languages and technologies as they become available. Bootcamp courses should help you master new development approaches as they become popular, so you can graduate job-ready.

Bootcamps Help You Advance Your Career

While most coding boot camps focus on technical training, an increasing number of them are also spending extensively on career assistance programs. In addition to their curriculum, several coding boot camps include career mentoring and seminars. These might cover things like technical interviews, resume evaluations, and other career-related topics that you’ll need to know if you want to break into the IT world. The career guidance you receive from a coach or in class will go a long way toward bridging the gap between Bootcamp and employment and will help you get your job search off to a good start.

Bootcamps concentrate on high-demand jobs

Coding boot camps primarily provide training to fulfil the needs of employers. If you go and graduate from a Bootcamp, you may expect to earn a high income and have a better work outlook. Web developers make around $68,500 per year, whereas Data Scientists make around $113,300, according to Glassdoor. That’s not all: IT jobs are in high demand, so you should have no problem finding one that suits your needs once you graduate. These are just three of the numerous advantages of attending a coding Bootcamp. We may also discuss how coding boot camps promote flexible learning alternatives including part-time and online programs, as well as how coding boot camps are providing new funding solutions to help students who are struggling financially.

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Bootcamp graduates, according to the Council on Integrity in Results Reporting (CIRR), have a high rate of obtaining a job in their field of study, often within a short period. Between January and June 2019, 46 coding boot camps reported to CIRR that roughly 79 percent of graduates were working in the sector 180 days after graduation. Employment rates vary depending on the Bootcamp and the job market at the time of the job search. For example, 180 days after graduation, graduates from Hack Reactor’s 2019 software engineering Bootcamp in Austin had an employment rate of around 81 percent, compared to only 67 percent for Hack Reactor’s 2019 software engineering Bootcamp in New York City. Many employers think boot camps are a good idea. According to a 2017 Indeed poll, 84 percent of employers think Bootcamp grads are equally as qualified for employment as those with computer science degrees, if not more so. The income of Bootcamp alumni is influenced by a variety of factors, including experience, technical expertise, and geography.

Prior job experience may help an individual earn a better salary. 13 percent of graduates from Fullstack Academy’s 2019 Immersive Bootcamp in Chicago got a job paying less than $60,000 per year, roughly 24% made more than $80,000 per year, and the bulk of grads made between $60,000 and $80,000. Salary levels are also affected by location. Episodes Portland Bootcamp alumni reported a median beginning income of $60,000 in 2019, while Epicodus’ Seattle Bootcamp grads reported a median annual salary of $75,000 in 2019. The income of Bootcamp alumni is influenced by a variety of factors, including experience, technical expertise, and geography.

Salaries can also differ depending on the Bootcamp career path. Each specialty has its average wage range. According to the Bureau of Labor Statistics, the typical annual compensation for a web developer or digital designer in 2019 was $73,760. Data scientists, on the other hand, made $94,280 and software developers made $107,510. The outcomes of boot camps frequently reflect these variations. In 2019, graduates of Codeup’s San Antonio data science Bootcamp earned a median income of $22,000 more than their web programming peers.

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Rajini++, A Programming Language Inspired By Superstar’s Rajinikanth’s Dialogue

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Rajini++, A Programming Language Inspired By Superstar’s Rajinikanth’s Dialogue

All Rajinikanth fans, don’t miss this chance of using Rajini++ for coding purposes with dialogues

All the programmers who are hard-core Rajini fans are glad to welcome the newest programming language inspired by the Superstar Rajinikanth! Rajinikanth or Thalaiva is famous for his actions and dialogues in the South Indian films that always end-up having housefull shows, for his popularity. Thus, a programmer named Aadhithya Sankar, has released Rajinikanth-based programming language, Rajini++ or Rajinipp for all the programmers across the world. Let’s dig deep into the new dialogue-based programming language in the coding world.

Introducing Rajini++

Rajini++ or Rajinipp is a Python-based programming language with simple syntax and keywords taken from the popular dialogues of the Superstar Rajinikanth. It is an esoteric programming language that Aadhithya Sankar wanted to create for the iconic and respectable South Indian Superstar.

Python 3.8 or its later version is required for Rajinipp with multiple features for programmers to use while coding. Features include Math Ops, Unary Ops, printing, variable declaration, variable access, variable manipulation and assignment, datatypes, Logical Ops, If statement, If-else statement, functions with arguments, for loop, while loop, functions, and functions with return.

Math Ops include SUM, SUB, MUL, DIV, and MOD whereas Unary Ops include SUM and SUB.

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Rajinipp programmes can be saved as .rpp files and programmers can use commands such as rajinipp run path/to/my program.rpp to run a Rajini++ programme. Programmers can also leverage Rajinipp Python package to seamlessly experiment with Rajini++ commands. The codes can be run successfully within Python scripts and programmers should be careful about one point of Rajini++ is that it is not designed for enterprise-level software development. Rajini++ also is gaining popularity for offering an interactive shell to try out multiple Rajinipp commands through Rajinikanth’s famous dialogues.

It is highly entertaining and a proud moment for all Indian cinema lovers as well as Indian programmers to get to use Rajini++ and Rajinikanth’s dialogues for coding purposes. Since it is completely based on Python, the trendiest and useful programming language in recent times, it is expected that Rajini++ will continue to be in the programming language list for a long period of time.

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