DevTopics

The creation of applications has become crucial to contemporary company operations. The demand for software applications has grown significantly as a result of the quick development of technology and the increasing usage of mobile devices. Businesses also need specialized solutions that can respond to their particular demands and offer a seamless user experience, from mobile apps to online applications.

The different forms of application development, the steps involved in the process, and the most recent trends in the sector will all be covered in this article.

Modern Application Development

In order to produce software applications that are highly scalable, dependable, and simple to maintain, developers use a variety of modern application development approaches, techniques, and methodologies. The goal of agile modern application development is to produce software applications more quickly, with fewer bugs, and for less money.

Software is created iteratively in modern application development, with regular releases and ongoing user feedback. This enables developers to react swiftly to shifting needs, priorities, and requirements. In order to speed up the development process and decrease the time to market, modern application development also places a strong emphasis on automation, continuous integration, and continuous delivery (CI/CD). This strategy aims to increase the efficacy and efficiency of the development process while guaranteeing that the software application satisfies user requirements. In general, it is focused on producing high-quality software that is simple to deploy, administer, and maintain while yet satisfying users’ and organizations’ evolving needs.

Applications Development Types

Mobile and web application development are the two main categories. Web applications can be accessed through a web browser, whereas mobile applications are created specifically for mobile devices.

Application Development for Mobile

The process of developing software applications specifically for mobile devices like smartphones and tablets is known as mobile app development. These apps can be created for a number of operating systems, including Android, iOS, and Windows. Using the language unique to that platform, developers create native apps for a given platform. For instance, Android apps are developed using Java or Kotlin, but iOS apps are developed using Swift or Objective-C. In comparison to other types of apps, native apps offer higher performance, speed, and security.

On the other side, hybrid apps are a fusion of native and online apps. They are created utilizing native app containers and web technologies like HTML, CSS, and JavaScript. Although they might not be as quick as native apps, hybrid apps offer a better user experience than web apps.

Development of Web Application

The process of building software applications that can be accessed through a web browser is known as web application development. Applications are created by developers to run on a variety of hardware, including desktops, laptops, and mobile devices. Also, they create online apps using a variety of technologies, including HTML, CSS, JavaScript, and server-side scripting languages like PHP, Ruby on Rails, and Node.js.

Developers occasionally also use pre-made admin layouts. An admin template is a set of HTML, CSS, JavaScript, or other JavaScript libraries-created web pages that make up the backend user interface of an online application. It can reduce the amount of time and money needed to construct a web app.It also allows you to create SPAs and progressive web apps.

Application Development Stages

Each stage of the application development process is crucial to the project’s success. The many phases of developing an application are as follows:

Planning & Designing

The planning phase, which lays the groundwork for the remainder of the development process, is essential to the project’s success. The development team and the customer collaborate at this stage to determine the project’s goals, target market, and features and functionalities the application should have. The team also decides on the project’s schedules, budget, and scope.

Wireframes and application prototypes are created throughout the design phase. This stage consists of the application’s user interface (UI) and user experience (UX). The design team then collaborates with the development team to make sure the plan is technically doable and adheres to the project’s specifications. The design team at this company employs a variety of tools to create appealing software, including UI Kits, prototype tools (like Adobe and Figma), wireframes, etc.

Development & Testing

The actual coding happens during the development phase. Here, the development team builds the application using the necessary technologies and tools while adhering to the design standards. Each sprint that the development team completes results in a collection of features or functionalities.

The testing phase comprises verifying the application’s usability, performance, and functionality. To make sure the application functions as expected, the testing team employs a variety of testing techniques, including as unit testing, integration testing, system testing, usability testing, and user acceptability testing (UAT).

The testing phase is when the team finds and records any problems or flaws, then conveys them to the development team for resolution. The team also makes that the program is user-friendly, responsive, and accessible. The project’s success depends on the software testing phase, which makes sure the application is prepared for deployment.

Deployment & Maintenance

The application is released to the production environment at the deployment step. The processes necessary to deploy the application are laid out in a deployment strategy, which the deployment team executes. The team makes sure that there are no user interruptions or downtimes during application deployment. The project’s success depends on the deployment stage, which makes sure users can access the application.

The application’s continuous support and maintenance are part of the maintenance phase. To keep the program running at its peak, the development team offers ongoing maintenance and support. The staff also keeps an eye out for bugs or issues with the application and fixes them right away.

Conclusion

The development of applications, which includes a variety of types, stages, and trends, was briefly reviewed here. The goal of this article is to give you a thorough overview of the application development process, including what it entails. I hope this post was interesting and valuable to you.

Tags: app development, application, modern app development

The front-end development ecosystem is constantly changing. Every day, new tools are being released, and with so many libraries and frameworks to choose from, it is getting harder for business owners to select the best one. Now, we have noticed that Angular is the common choice among business owners who want to take their business online when it comes to front-end development.

But React.Js, another well-liked front-end development framework has been setting records in the web development industry.

What is React.Js?

In essence, React.Js is a JavaScript library created and supported by Facebook. React is an effective, declarative, and flexible open-source JavaScript library for developing straightforward, quick, and scalable front ends of web applications. It has dominated the front-end development field ever since its launch.

React is the most popular web framework, according to the most recent Stack Overflow survey, while Angular came in ninth.

You must be wondering why React.Js is a good choice. Because of the rise in JavaScript’s popularity in recent years, there are now many alternatives on the market, including Angular and Vue.js. Thus, why React?

Over 220,000 websites are active today that use React. Not only that, but React.Js is already being used in software creations by industry behemoths like Apple, Netflix, Paypal, and many others. Since so many businesses, including some of the most well-known brands in the world, use React.Js, React must surely have some amazing advantages, right?

Of course, it does.

Let’s look at the top benefits of using React.Js.

Flexibility

React is incredibly adaptable. Once you have mastered it, you can create high-quality user interfaces on a wide range of platforms. React is NOT a framework; it is a library. React’s library-based approach has enabled it to develop into such an amazing tool.

React was developed specifically to build web application components. Any element in your web application, such as a Grid, Text, Label, or Button, can be a React component.

But as React’s popularity has increased, so has its ecosystem, which now supports a wide range of use cases. Using tools like Gatsby, you can generate a static website with React. You can create mobile apps using React Native. Using a program like Electron, which uses React.Js technology and is compatible with both Mac and Windows, you can even create desktop applications.

Great Developer Experience

When they begin writing code in React, your team will fall in love with it. A fantastic developer experience is produced by React’s small API and rapid development.

The React API is very easy to understand. There are a few concepts to learn. Simply import the React library to get started. The component that receives props (input) and outputs JSX is called a message.

The React API calls are converted using JSX, a unique syntax that resembles HTML, which then renders HTML.

HTML is powered by established frameworks like Angular and Vue. Inside HTML, JavaScript is used. To give it more capabilities, they have developed HTML attributes.

The main issue with this strategy is that you either have to become familiar with the new HTML attributes or constantly consult the official documentation.

Broader Community Support

React’s popularity has steadily increased since 2015. It has a sizable, vibrant community, and its GitHub repository has received more than 164k Stars. It is one of GitHub’s top 5 repositories. React’s NPM package has millions of weekly downloads as well. On Stack share, over 9K businesses declared that they use React. Even Fortune 500 companies are visible.

A community created specifically for React developers is called Reactiflux. There are over 110k community members working to share and solve React-related issues.

StackOverflow is one of the most well-liked websites among programmers. Over 250k questions have been asked about React and related libraries.

Great Performance

The JavaScript team realized that updating the DOM makes JavaScript slow. React reduces DOM modifications. And it has discovered the most effective and clever way to update the DOM.

Prior to React, the majority of frameworks and libraries would haphazardly update the DOM to reflect a changed state. As a result, a sizable portion of the page underwent changes.

React uses the Virtual DOM to keep track of the state values for each component. React compares the current DOM state with the ideal state for the new DOM when a component’s state changes. The process then determines the most affordable method for updating the DOM.

Most frameworks and libraries would haphazardly update the DOM to reflect a changed state before React. The result was that a sizable portion of the page changed.

React tracks the state values for each component using the Virtual DOM. When a component’s state changes, React compares the old DOM state with the desired state for the new DOM. The most cost-effective way to update the DOM is then decided.

Easy to Test

The testing interface for React is very user-friendly.

• Setting up traditional UI browser testing is difficult. On the other hand, testing in React requires little to no configuration.
• Traditional UI browsers need browsers for testing, but the node command-line makes it simple and quick to test React components.
• Standard UI browser testing is cumbersome. However, command-line testing is quick and allows you to run a large number of test suites simultaneously.
• Traditional UI browser testing can take a lot of time and is difficult to maintain. Utilizing software like Jest & Enzyme, React tests can be written quickly.

Since React.Js is also a JavaScript library, there are many different JavaScript testing frameworks online that you can use to test it. Mocha, Jasmine, Tape, QUnit, and AVA are a few examples of well-liked testing frameworks.

Wrapping Up

For building interactive applications for mobile, web, and other platforms, React is a fantastic tool.

There is a good reason why React is becoming more and more popular and used. Developers who use React become more proficient in JavaScript, which accounts for almost 90% of all web development today.

Tags: Ract, ReactJS

JavaScript is a lightweight, object-oriented scripting language that is used to produce dynamic HTML pages with captivating effects. While JavaScript programming, which runs in the V8 engine or through the node interpreter, has access to a list of objects and methods through the use of Node.js.

Startups are always willing to experiment with new technologies, so every novel technology initially picks up steam and garners attention. However, it is clear that large, well-established companies are switching from years of legacy systems to Node.js. Every few months, a new “game-changing” technology enters the IT market, but they quickly become obsolete, according to developers. This is not the case with Node.js. This is unusual, so let’s examine how Node.js functions and the benefits of implementing this cutting-edge technology in businesses to gain a better understanding.

What Is Node.js?

The simplest way to define Node.js is as a runtime environment for JavaScript that aids in the implementation of JavaScript programming on the server side. It is a precise, cross-platform, open-source JavaScript that facilitates the creation of real-time network applications.

Numerous modules are included with Node.js, which is primarily used for web-based development. It allows for event-driven, non-blocking (asynchronous), and scalable I/O for server-side JavaScript applications. It can run on different operating systems, including Windows, Mac OS, and Linux.

Node.js can be used to create a variety of applications, including REST API servers, command-line programs, and real-time chat programs.

Let’s see some beneficial keypoints of Node.js

Simplicity

Most front-end developers are proficient in JavaScript, which is a widely used programming language. They find it much easier to use Node.js in the backend. Node.js is simple to learn and uses less time when used professionally.

With Node.js, it is easy to share a single language between the client and server sides without switching between the front-end and back-end. The deployment and the code are both in the same location. As a result, when compared to apps that use different languages for both ends, those made in Node.js require fewer files and less code. Even better, sharing and reuse of the code speeds up the development process.

This significant help is especially appreciated at this early stage of your product development. For both sides, you can have a full-stack development team to cut down on resource or hourly costs.

More rapid time to market

Time is a valuable resource for businesses of all sizes, including startups. Startups in particular must be persistent in their efforts to iterate quickly, support testing and deployment, and deliver as quickly as possible while working with smaller budgets.

The main benefit of Node.js is that it helps shorten the time to market. With Node, you can quickly move from the project’s conceptual stage to its finished product. Additionally, simple deployments help you get immediate feedback directly from the production environment.

This scenario is conceivable because the technology is reasonably portable and can significantly shorten the time required to develop an app while maintaining the same features and functionalities.

Large-scale Solutions

Scalability is one of Node’s benefits for both business and development that intend to develop over time. It is used to create compact, quick solutions with improved real-time response that can be scaled up further and allow the addition of new modules to the existing ones.

Load balancing and the ability to handle a large number of concurrent connections enable Node to scale. Additionally, Node’s applications support both vertical and horizontal project scaling.

Because Node.js is explicitly designed for microservices architecture, it is advantageous when creating projects that will grow and scale in the future. Additionally, it is possible to create a separate microservice and scale it covertly for any features and functionalities.

Development & Active Community

It is worthwhile to quickly confirm the viability of the product’s concept with less effort, resources, and upfront investments because project timelines are shorter and project budgets are more constrained. By using this scenario, the product’s viability can be confirmed before investing time and money in its full development. Node.js makes it possible to quickly create an MVP (Minimum Viable Product), a software solution with just enough features to satisfy the product’s target market. The MVP stage is the first step in the process of developing a complete app.

At the same time it has a sizable and extremely active community of programmers who never stop adding to its growth and improvement.

Developers of JavaScript support the programming teams by providing simpler solutions and codes. It is anticipated that many more programmers will be initiated and supported in the future by today’s programmers.

Performance & Extensions

Through Google’s V8 JavaScript engine, Node.js infers the JavaScript code. The JavaScript code is directly converted by the engine into machine code. The code can be efficiently executed faster and easier in this scenario.

Even faster code execution is achieved with an explicit runtime environment because it supports non-blocking I/O operations.

Another interesting thing about Node.js is it’s highly extensible. Because Node.js is so extensible, you can easily adapt it to your needs and add new features. Additionally, it is equipped with built-in APIs for creating HTTP, TCP, and DNS servers. JSON can even be used to provide a means of information exchange between a web server and its users.

Future Prospects for Node.js

Node JS appears to be a significant trend that will continue to grow in 2022. It offers some undeniable benefits that make it the preferred option for developers.

Node JS technology in the front-end industry appears to have a bright future because, at least for the time being, it appears that no front-end upgrade is possible without Node.js.

Node.js encourages users to create everything from microservices to enable the delivery of multipurpose applications. Additionally, it helps synchronize non-web frameworks so they can use serverless structures.

Tags: JavaScript, node.js

Python is an interpreted, high-level object-oriented programming language. It comes with built-in data structures, dynamic typing(a process wherein type checks are done during the runtime), and binding(mapping of different objects with one another), which makes it a top language used for the development of applications. Python syntaxes are simple, easy to read, and easy to learn.

R is a programming language for statistical analysis or computing and graphics. R comes with a wide range of statistical techniques such as linear modeling, non-linear modeling, statistical tests, clustering, etc. One of R’s strengths is the ease at which a plot can be produced, including the mathematical notations and formulas.

R and Python are both excellent choices for data science, but each has advantages and disadvantages. Accordingly, if you’re new to data science, one option may be more appropriate than the other, and if you already know one, learning the other may still be worthwhile.

There is no question that Python and R can handle the majority of data science tasks; however, there are other considerations that may influence your decision. One tool might be more useful for a particular task, might be simpler to learn for some users than for others, might lead to more opportunities in the workforce, and the list goes on.

Making the right decision is important because learning something new is challenging. Before you start learning Python and/or R for data science, you should be aware of the following.

Which background you’re from?

Consider your background when selecting between Python and R if you’re new to data science. Learning a new programming language like Python or R wouldn’t be challenging if you have years of coding experience, but things are different if you have only recently used programs like Excel or SPSS. Let’s examine who makes use of Python and R, as well as their purposes.

The programming language R, which was developed by statisticians, is primarily employed for statistical computing. Nevertheless, R is used by more than just statisticians; it is also employed by data miners, bioinformaticians, and other experts who perform data analysis and create statistical software.

On the other hand, Python is a general-purpose language that is used for creating GUIs, games, websites, and other things in addition to data science. Python is used for a wide range of tasks by experts like software engineers, web developers, data analysts, and business analysts.

In conclusion, R would probably be simpler to learn if you’re coming from Excel, SAS, or SPSS, but Python would be simpler to use and get used to if you’ve been coding in other programming languages for a while and have a programming mindset.

Which one is more popular for data science?

Before learning a tool, it’s important to keep its popularity in mind. You don’t want to learn anything that has no practical application, I assure you.

On Google Trends, a quick comparison of the keywords “python data science” (blue) and “r data science” (red) reveals the growth in popularity of both programming languages over the previous five years.

Without a doubt, Python is more widely used for data science than R.

Employers, however, look for different things in Python and R experts when it comes to data science. The most prevalent data science tools and techniques that appear in each set of job postings were identified through a comparison of job postings that contain the terms data science and R (but not python) and data science and Python (but not R).

The wordcloud reveals that while job postings with the terms data science and Python include “machine learning,” “SQL,” “research,” and tools like AWS and Spark, those with the terms data science and R frequently include terms like “research,” “SQL,” and “statistics.”

Which one offers the best tools for data science?

The workflow for data science includes activities like data collection, exploration, and visualization. Despite the fact that both Python and R will do the job, each language’s tools and package offerings have advantages and disadvantages.

Data Collection: R and Python both support a wide range of file formats, including CSV and JSON, and R also enables you to convert files created in Minitab or SPSS into datasets. Both platforms also let you use website data extraction to create your own datasets, but Python has more sophisticated tools like Selenium and full frameworks like Scrapy.

Data Exploration: Take a look at the packages used in both R and Python because this is the step where data scientists spend the majority of their time. While R has a variety of packages designed for data exploration, we typically use Pandas and Numpy to explore datasets in Python. Since a picture speaks a thousand words, check out these straightforward exploratory data analyses carried out in R and Python to learn more about the tools employed.

Data Visualization: Basic graphs can be created in Python using the Pandas library, but for customizable and sophisticated visualizations, you must learn libraries like Matplotlib and Seaborn. The issue is that Python visualizations aren’t the most aesthetically pleasing and can be challenging to learn (and remember their syntax for). R excels at data visualization, in contrast. Many common graphs are already supported by R by default, and it also offers sophisticated tools like ggplot2 to enhance the look and feel of your graphs.

Wrapping Up

You already likely know which tool is best for you at this point, but allow me to share what some of the people I know do.

Some people favor Python over R because of its versatility and flexibility, which enable them to perform powerful data science tasks as well as go beyond them, while others prefer Python over R because of its statistics-oriented strength and excellent visualization capabilities.

For the various job opportunities and tools they offer, learning the other would be worthwhile even if you already know one.

Tags: Python, Python vs r, R

Flutter is a free and open-source mobile UI framework created by Google and released in May. In a few words, it allows you to create a native mobile application with only one codebase. This means that you can use one programming language and one codebase to create two different apps (for iOS and Android).I began as a front-end web developer before switching to Flutter development.

I believe there were some ideas that made it simpler for me to adopt Flutter. Additionally, there were some novel ideas that were unique.

In this article, I want to share my experience and encourage anyone who is having trouble deciding between two ecosystems by demonstrating how concepts can be learned and how they can transfer between ecosystems.

Ideas That Were Transferred

This section highlights similarities between Flutter and front-end web development. It explains the abilities you already possess that will help you if you begin using Flutter.

Implementing User Interfaces (UIs)

You put together HTML elements and give them CSS styling in order to implement a specific UI in front-end web. In Flutter, you create widgets and give them properties to give them UIs.

The Color class in Dart uses “rgba” and “hex,” just like CSS. Like CSS, Flutter measures space and size in pixels. For almost all CSS properties and their values, Flutter provides Dart classes and enums. There are also Column and Row widgets in Flutter. These are display:Flutter flex’s equivalents in CSS. Use the MainAxisAlignment and CrossAxisAlignment properties to set the justify-content and align-items styles. Wrap the affected child widget(s) of the Column/Row in an Expanded or Flexible to change the flex-grow style.

Flutter has a class called CustomPaint that is equivalent to the Canvas API in web development for more complex user interfaces. With CustomPaint, you can use a painter to create any UI you like. CustomPaint is typically used when you need something extremely complex. Additionally, when a widget combination fails, CustomPaint is the preferred option.

Multiple Screen Resolutions Development

Mobile apps run on devices, while websites run on browsers. As a result, you must keep the platform in mind when creating for either platform. The same features (camera, location, notifications, etc.) are implemented differently by each platform.

The responsiveness of your website is something you as a web developer consider. You manage how your website appears on larger and smaller screens by using media queries.

You have the MediaQuery helper class if you are moving over from mobile web development to Flutter. You can get the current device orientation from the MediaQuery class (landscape or portrait). It also provides you with other device information, such as the devicePixelRatio and the current viewport size. You can learn more about the configuration of the mobile device by combining these values. You can use them to alter the appearance of your mobile app across a range of screen sizes.

Working with Debuggers, Editors, and Command Line Tools

There are developer tools in desktop browsers. An inspector, a console, a network monitor, etc. are some of these tools. The web development process is enhanced by these tools. The same is true for Flutter’s DevTools. Among other features, it has a widget inspector, debugger, and network monitor.

Similar IDE support is available. One of the most well-liked IDEs for web development is Visual Studio Code. For VS Code, there are numerous web-related extensions. VS Code is supported by Flutter too. So you don’t need to switch to another IDE while transitioning. For VS Code, there are extensions for Dart and Flutter. Also compatible with Android Studio is Flutter. Flutter DevTools are supported by both VS Code and Android Studio. The Flutter tooling is finished thanks to these IDE integrations.

The majority of JavaScript front-end frameworks include a command-line interface (CLI). Angular CLI, Create React App, Vue CLI, etc. are a few examples. Additionally, Flutter includes a unique CLI. You can build, create, and develop Angular projects using the Flutter CLI. For analyzing and testing Flutter projects, it has commands.

Additional Thoughts On Flutter

A cross-platform tool for creating desktop, mobile, or web applications is called Flutter. Flutter apps have perfect pixelation. No matter the target platform, Flutter uses the same user interface (UI) for all apps. This is so because the Flutter engine is present in every Flutter app. The Flutter UI code is rendered by this engine. Each device has a canvas that you can paint on thanks to Flutter. For the purpose of handling events and interactions, the engine communicates with the target platform.

Flutter works well. It performs at a high level. This is due to the fact that it was created using Dart and makes use of its features.

Flutter is a wise choice for many applications thanks to its many advantages. Cross-platform apps reduce costs and time spent on development and upkeep. Flutter (and cross-platform solutions) might not always be the best option, though.

If you want users to use platform developer tools with your application, avoid using Flutter. Device-specific tools, such as Android developer options, are referred to as platform developer tools here. Developer tools for browsers are also included. If you want browser extensions to communicate with the website, don’t use Flutter for web. Flutter should not be used for websites with a lot of content.

Conclusion

This article reviewed the transferable skills from front-end web development to using Flutter. We also covered key ideas in app development that web developers must understand.

For web developers, Flutter is easier to use because both involve implementing UIs. Starting with Flutter will show you that it offers a positive developer experience. Try out Flutter! Utilize it to create mobile applications, and of course, show off what you create.

Tags: Flutter, web development

After the popularity of its predecessor, Angular 13, Angular 14 is now available. The following notable Google release is the web application framework built on Type-script. With the introduction of stand-alone components, Angular 14 promises to speed up the creation of Angular apps by eliminating the requirement for Angular modules. Improved template diagnosis, stand-alone components, and additional capabilities for typed forms are all brought about by the move from Angular 13 to Angular 14.

The most meticulously thought out pre-planned upgrade by Angular is thought to be version 14. CLI auto-completion, typed reactive forms, standalone components, directives and pipes, and improved template diagnostics are some of the new features in the Angular 14 version.

The Angular team’s deliberate elimination of the requirement for Ng modules, which lowers the amount of boilerplate code needed to launch the application, is the update’s standout feature. Let’s compare Angular13 with the latest Angular14 release before going over the features of Angular14.

In contrast to Angular14

The Angular and Typescript developers found the framework challenging compared to others like React after Angular 13 was released. Additionally, the new Route.title function in the Angular router made adding titles easier in version 13. When adding a title to your page in Angular 14, this is not necessary to be added for any new imports.

Independent Components

Although the Angular 14 modules are optional, the objective is to depart from the current configuration by constructing pipes, directives, and components.

Angular has released RFC to make Ng modules optional on standalone components (Request for Comments). While the Angular 14 update will not make these modules outdated, it will make them temporary in order to maintain compatibility with the current Angular libraries and apps.

It is important to note that before to Angular 14, each component had to be related to a module. If a parent module’s declarations array is not linked with each component, the application will crash.

Completely Typed Forms

Executing strict typing for the Angular reactive forms package is totally fixed by the latest Angular version release. The precisely typed forms will improve a contemporary-driven strategy for Angular to work invisibly with the current forms.

The ease with which users can switch from earlier versions to version 14 is one of the most encouraging features of Angular 14. To retain the current applications while upgrading, the Angular team has included auto migration. Additionally, FormControl, which invokes a specific value it carries and accepts generic type input, is now available for use.

To guarantee that the changes are handled precisely and smoothly, the complexity of the API is often monitored. Additionally, the most recent Angular 14 version won’t interfere with template-based forms.

CLI Auto-Completion for Angular

The Angular CLI auto-biggest completion’s feature is that it helps you become more productive by providing the necessary commands to create modules, directives, and components for your new or current project. The Angular 14 includes several useful commands for you, though.

You don’t have to bother about searching the internet for commands. Here is how to use Angular 14 to accomplish it.

The newest CLI features are delivered by Angular 14, enabling real-time auto-completion in the terminal. You should initially run the ng completion command. The ng command must now be entered, followed by the Tab key to investigate all available options. Enter to select a choice from the list.

Additionally, the ng create command options list offers extra auto-completion options if you are using the most recent version of Angular 14, which is available.

Enhancements to Template Diagnostics

Improved template diagnostics are included in the latest Angular 14 upgrade to protect developers from generic errors through compiler reconciliation to typescript code.

The compiler does not produce any warnings in Angular 13 or earlier versions, and it stops executing if a problem prevents it from doing so.

Some of the potential red flags may stem from more fundamental problems, such as the usage of undesired operators when a variable is not nullable or the syntax for two-way binding. A new private compiler that displays alerts or information diagnostics for user templates also limits the scope of the diagnostic tests.

Accessibility of the Page Title Streamlined

When developing an application, your page title typically clearly displays the contents of your page. The entire process of adding titles was previously coordinated with the new Route.title parameter in the Angular router in version 13. But Angular 14 doesn’t offer the extra imports needed when adding a title to your page.

Internal Improvements

The fact that the Angular14 update allows the CLI to publish little code without lowering its value is one of the version’s most intriguing features. You may connect to protected component members directly from your templates thanks to the built-in improvements. Overall, leveraging the public API surface gives you more control over the reusable parts.

Wrapping Up

That concludes our discussion of the key elements of Angular14’s new features. I’m hoping that this may be useful to you as you work on your current or next Angular14 project.

With Angular14, creating apps is now simple and rapid. Thanks to the stand-alone components, using ng modules is not required. The Angular developer community aims to support web developers in getting improved versions of the Typescript-based framework while also enabling them to keep up with the demands of other online ecosystems and users.

We advise switching to Angular14 if you are familiar with the most recent Angular improvements and features.

Tags: angular, angular 14

Data scientists, data engineers, and application developers now have better programmability thanks to new updates from Snowflake, a provider of data clouds.

This week at its yearly user conference, Snowflake Summit 2022, in Las Vegas, the company made the update public.

With the release of Snowpark for Python, which is currently in public preview, and a native integration with Streamlit for quick application development and iteration, both of which are currently under development, Snowflake’s most recent innovations put Python in the spotlight. Along with making data stored in open formats and on-premises accessible in the Data Cloud, Snowflake is also streamlining access to more data with new improvements for working with streaming data.

These improvements make it simpler for data professionals and developers to build and collaborate with data quickly while utilizing Snowflake’s platform’s speed, simplicity, consistent governance, and security.

Increasing Python’s Use in Machine Learning and Application Development

These improvements make it simpler for data professionals and developers to build and collaborate with data quickly while utilizing Snowflake’s platform’s speed, simplicity, consistent governance, and security.

Data scientists, data engineers, and application developers now have access to a rich programming environment with Snowpark, the developer framework for Snowflake, allowing them to create scalable pipelines, applications, and machine learning (ML) workflows directly within Snowflake using their preferred languages and libraries. By facilitating seamless access to Python’s rich ecosystem of open-source packages and libraries in the Data Cloud, Snowflake is expanding what users can create with Snowpark for Python.

Snowpark for Python runs on the same Snowflake compute infrastructure as Snowflake pipelines and applications written in other languages thanks to a highly secure Python sandbox. As a result, developers can expect the same scalability, elasticity, security, and compliance benefits from Snowpark for Python as they have come to expect from Snowflake. Developers now have the exceptional chance to consolidate their Python-based data processing in Snowflake using Snowpark, streamlining and modernizing their data processing architecture.

Along with Snowpark for Python, other updates include:

• With the help of Python and Snowpark’s DataFrame APIs for Python, users can create pipelines, machine learning models, and applications directly in Snowsight, the Snowflake user interface. Development is sped up by code auto-complete and the quick productization of custom logic.
• With the help of Snowflake’s Streamlit Integration, which is still under development, users will be able to build interactive applications, securely share them with business teams to iterate, and work together to increase the impact of development.
• The currently under development Large Memory Warehouses gives users the ability to safely carry out memory-intensive operations, like feature engineering and model training on sizable datasets, using well-liked Python open-source libraries accessible through the Anaconda integration.
• SQL Machine Learning gives SQL users the ability to incorporate ML-powered predictions into their routine business intelligence and analytics to increase decision quality and speed, starting with time-series forecasting, which is currently in private preview.

Python is a well-liked choice among developers due to its robust syntax and extensive ecosystem of open-source packages. Thanks to Snowflake’s ongoing partnership with Anaconda, more Python packages are now seamlessly accessible in Snowflake, and all code is run in a highly secure sandboxed environment. As a result of Snowflake’s Python developments, the Snowpark Accelerated program has also continued to expand, with more partners using Python to increase the Data Cloud’s functionality in their preferred language.

In order to support machine learning (ML) and artificial intelligence (AI) solutions that make use of data in the Allegis Enterprise Data Platform on Snowflake, Allegis Group, a global talent solutions company, depends on Snowpark.

Joe Nolte, AI & MDM Architect, Allegis Group, said: “At its core, Snowpark is all about extensibility, and Snowpark for Python provides us with the tools we need to work with data effectively in our programming language of choice.”

“Snowpark is becoming our preferred framework for data science and application development, providing our teams with a seamless experience to easily collaborate with data and bring everyone onto the same platform for accelerated time-to-value.”

For developers to work more productively, to create more accurate ML models, and to offer more potent applications, they need quick and easy access to the right data. The upgrades to Snowflake let teams to experiment more quickly and with access to more data, resulting in improved programming capabilities and more insightful user experiences.

New innovations include:

• With Snowpipe Streaming, which is currently in private preview and allows for the serverless ingestion of streaming data, and Materialized Tables, which are currently under development and make declarative transformation of streaming data simple, Streaming Data Support aims to do away with the distinctions between streaming and batch pipelines.
• The currently under development Iceberg Tables in Snowflake, which will allow users to work with Apache Iceberg, a well-liked open table format, in external storage while utilizing the platform’s simplicity, performance, and consistent governance. This will streamline overall data management and increase architectural flexibility.
• With Snowflake’s External Tables for On-Premises Storage, customers can access their data in on-premises storage systems like Dell Technologies, Pure Storage, and others to take use of the Data Cloud’s elasticity without relocating that data. This feature is currently in private preview.

Christian Kleinerman, senior VP of product, Snowflake, said: “We are heavily investing in Python to make it easier for data scientists, data engineers, and application developers to build even more in the Data Cloud, without governance trade-offs.

“Our latest innovations extend the value of our customers’ data-driven ecosystems, enabling them with more access to data and new ways to develop with it directly in Snowflake. These capabilities, paired with Snowflake’s best of class data security and privacy, are changing the way teams experiment, iterate, and collaborate with data to drive value.”

Tags: Python, snowflake, snowpark

A career as a developer in any sector is pretty challenging. The profession can appear even more daunting when you are a junior developer. The lack of formal training about real-world software development scenarios during college days leaves the developers to learn on their own. Hence, they make many novice mistakes that stick for a long time. Without proper guidance, the initial habits can slow down the junior developer’s career progression.

Everyone makes several of these beginner’s mistakes during the initial phases of their career. If you are passionate about making it big in your development sector, here is a list of the top ten common mistakes you need to be aware of as a junior developer.

Focusing on Code Instead of the Big Picture

It’s easy to get bogged down in the details when you’re starting out. But it’s important to remember that code is only a small part of the development process. Focusing on the big picture will help you understand the overall goal of your project and help you make better decisions. To come up with good solutions, you need to spend time thinking. You have to remember that the author of React did not come up with the idea for the framework in a day. You have to focus on your target and follow up on whatever you need to get to that target.

Not Knowing Their Self Worth

When developers are fresh out of their institutions or when they are out in the market looking for a job, they most likely have no idea about their worth. Depending on individuals, they either overestimate their capability or underestimate it. In either case, not knowing is not helpful to get the right start to their career.

Developers who overestimate their capabilities tend to have high expectations from their first job. They feel they are doing the company a favor. This mindset reflects in the interviews and, later, in their work.

Again, developers who underestimate their abilities tend to take the very first offer they get. They do not try to find out if they are paid as per the market standard. They also prefer not to ask what kind of work they will be offered or whether the work culture is flexible and a good fit for them.

It is not always easy to negotiate during your first job search. Circumstances can compel you to start earning as early as possible. If that is the case, surely you can latch on to the first software job you get. Once you start making money, you can further your career in your own time and money. You can also find out if a position is suitable for you by doing a bit of research on the internet. Learn about the company culture from the reviews provided by employees on various sites.

Not Reading Documentation

Junior developers rarely read documentation, or they only read it superficially. They often skip it and start working on a subject or solving their problem. But the fact is that documentation is an important source of information. And you need to read it in-depth if you want to be a successful developer.

Documentation can help you learn the syntax and usage of a language or library, as well as how to use a tool or library properly. It can also help you understand the API for a particular software system. So, be sure to read the documentation.

Not Asking Questions

A common mistake junior developers often make is they do not ask questions proactively. Some developers are shy in asking questions. Others might be hesitant because they think their query might be a silly on.

Whichever might be the reason, they need to overcome the hurdle to be successful in their career. They should ask questions every time they do not understand. People will be more than happy to explain when they are on the topic.

Sometimes, the question will not have a straightforward answer. People might give their opinion based on their knowledge. If you are not satisfied, you can ask someone else to confirm your understanding. The idea is to clear out any doubt as quickly and as confidently as possible.

Lacking of Practice

Junior developers often underestimate the importance of practice. It’s not enough to just learn the theory — you also need to practice what you have learned.

Practice makes a man perfect, and the more you practice, the better you will become at your work. Try to find opportunities to practice your skills, whether it’s through tutorials, exercises, or projects. No one is born as a great developer. They become one by working hard and practicing‌.

They should practice according to their field of work. If you are a software developer, work hard on your problem-solving skills, programming languages, and accuracy and attention to details. These sometimes may seem very easy for you, but if you want to develop these skills, then you have to practice them. Everything takes practice!

Conclusion

This list summarizes experiences shared by other developers over the year and my experience as well. As a unique individual, your experiences might vary from others. If you remain vigilant and stay away from these mistakes, you can achieve a great start as a developer. Hence, understand the mistakes and take action based on your situation. I am sure, armed with the above knowledge and perseverance, you can achieve the professional and personal goals you set for yourself.

Tags: Development

Python is a very popular programming language today and often does not need an introduction. It is widely used in various business sectors, such as programming, web development, machine learning, and data science. Given its widespread use, it’s not surprising that Python has surpassed Java as the top programming language. In this article, you will discover the top ten reasons why you should learn Python.

What is the Python

Python is a high-level, object-oriented programming language with built-in data structures and dynamic semantics. It supports multiple programming paradigms, such as structures, object-oriented, and functional programming, which was created by Guido van Rossum. It is an interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically typed and garbage-collected. It supports different modules and packages, which allows program modularity and code reuse.

Python was initially started as a successor for the ABC programming language. According to the LaTeX-based early Python documentation (1991), the goal of Python was to offer a better programming language for scripting by filling the gap between C and traditional Shell scripting languages. The issue is that you can’t access C-based operating system APIs natively in Bash. On the other hand, writing Shell scripts in C is indeed more time-consuming than Bash. Python became one of the most popular languages because of the simple syntax, full-featured standard library, rich open-source library ecosystem, and advanced frameworks. New features like type hints and impressive open-source libraries/frameworks make Python suitable for enterprise apps.

Better Practical Alternative

A lot of tech companies do a series of interviews to find top engineering candidates. These interviews usually include technical, HR, and management, etc. In technical interviews, interviewers often ask candidates to write pseudocodes for various algorithmic challenges. Pseudocodes are good, but they come with a small problem. Pseudocodes typically don’t have a standard syntax, so candidates often tend to borrow some syntax from their favorite languages. As a result, candidates write various pseudocodes for one technical problem.

What if we have a standard pseudocode syntax? How about pseudocode syntax, which actually works as a programming language? Writing the Python code is undoubtedly more productive than writing traditional pseudocodes. Almost all on-site development interviews typically test candidates’ analytical skills — not how many fancy syntaxes they know in a specific programming language, so using Python in technical interviews saves everyone’s time.

Usability & Flexibility

Programmers initially used Python on personal computers for various general-purpose scripting requirements like automation. Later, programmers started writing GUI apps and web apps with Python. Now, Python programmers can use the Kivy. Again, not only is Python easy to learn but also, it’s flexible. Over 125,000 third-party Python libraries exist that enable you to use Python for machine learning, web processing, and even biology. Also, its data-focused libraries like pandas, NumPy, and matplotlib make it very capable of processing, manipulating, and visualizing data — which is why it’s favored in data analysis. It’s so accommodating, it’s often called the “Swiss Army Knife” of computer languages.

Career & Earning Potential

Going hand-in-hand with lightning speed growth, Python programming is in high demand for jobs. Based on the number of job postings on one of the largest job search platforms, LinkedIn.com, Python ranks #2 in the most in-demand programming languages of 2020.

As Python is the second-highest paid computer language, you can expect an average salary of USD 110,026 per year. Nothing to cry about! If you can land a job with Selby Jennings, you’ll earn the most. The average salary there is USD 245,862. Amazing!

Python Security

The Python Software Foundation and the Python developer community take security vulnerabilities ‌seriously. A Python Security Response Team has been formed that does triage on all reported vulnerabilities and recommends appropriate countermeasures. To reach the response team, send an email to security at python dot org. Only the response team members will see your email, and it will be treated confidentially.

The PSRT mailing list is tightly controlled, so you can have confidence that your security issue will only be read by a highly trusted cabal of Python developers. If for some reason you wish to further encrypt your message to this mailing list (for example, if your mail system does not use TLS), you can use our shared OpenPGP key, which is also available on the public key servers.

Incredibly supportive community

While programming is often misinterpreted as a solo-sport, one of the greatest tools a programmer will ever have is the support of their community. Thanks to online forums, local meet-ups, and the open source community, programmers continue to learn from and build on the success of their predecessors. GitHub is where developers store project code and collaborate with other developers. With over 1.5M repositories on GitHub and over 90,000 users committing or creating issues in these repositories, Python has the second largest GitHub community.

In addition to online communities, Python User Groups are places where developers can meet others working with Python to share resources and solutions and cheesy Python jokes.

Conclusion

Now that you know the reasons to learn Python Programming, and how it can give you a career boost, the next step is simple. You just have to learn the code and start utilizing it. Python has become the language of choice for AI researchers, who have produced numerous packages for it. Reusing, recycling and improving other programmers’ code is fundamental to being a successful programmer, which is why Python’s robust programming communities help make it a solid programming language to learn.

Tags: Development, programming language, Python

The Windows Subsystem for Linux (WSL) is a feature of the Windows operating system that enables you to run a Linux file system, along with Linux command-line tools and GUI apps, directly on Windows, alongside your traditional Windows desktop and apps. You can now preview Windows Subsystem for Linux (WSL) support for running Linux GUI applications (X11 and Wayland) on Windows in a fully integrated desktop experience. Now we have 2 different WSL here. In this article, let’s try to see how both WSL 1 WSL 2 are different from each other.

Comparing features

As you can tell from the comparison table above, the WSL 2 architecture outperforms WSL 1 in several ways, with the exception of performance across OS file systems, which can be addressed by storing your project files on the same operating system as the tools you are running to work on the project.

WSL 2 is only available in Windows 11 or Windows 10, Version 1903, Build 18362 or later. Check your Windows version by selecting the Windows logo key + R, type winver, select OK. (Or enter the ver command in Windows Command Prompt). You may need to update to the latest Windows version. For builds lower than 18362, WSL is not supported at all.

WSL 2 enables Linux GUI applications to feel native and natural to use on Windows.

• Launch Linux apps from the Windows Start menu
• Pin Linux apps to the Windows task bar
• Use alt-tab to switch between Linux and Windows apps
• Cut + Paste across Windows and Linux apps

You can now integrate both Windows and Linux applications into your workflow for a seamless desktop experience.

What’s new in WSL 2

WSL 2 is a major overhaul of the underlying architecture and uses virtualization technology and a Linux kernel to enable new features. The primary goals of this update are to increase file system performance and add full system call compatibility.

WSL 2 architecture

VM experience is often slow to boot up, isolated, consumes a lot of resources, and requires your time to manage it. WSL 2 does not have these attributes. WSL 2 provides the benefits of WSL 1, including seamless integration between Windows and Linux, fast boot times, a small resource footprint, and requires no VM configuration or management. While WSL 2 does use a VM, it is managed and run behind the scenes, leaving you with the same user experience as WSL 1.

Integration of Linux kernel

The Linux kernel in WSL 2 is built by Microsoft from the latest stable branch, based on the source available at kernel.org. This kernel has been specially tuned for WSL 2, optimizing for size and performance to provide an amazing Linux experience on Windows. The kernel will be serviced by Windows updates, which means you will get the latest security fixes and kernel improvements without needing to manage it yourself. The WSL 2 Linux kernel is open source.

Increased file IO performance

File intensive operations like git clone, npm install, apt update, apt upgrade, and more are all noticeably faster with WSL 2.

The actual speed increase will depend on which app you’re running and how it is interacting with the file system. Initial versions of WSL 2 run up to 20x faster compared to WSL 1 when unpacking a zipped tarball, and around 2-5x faster when using git clone, npm install and cmake on various projects.

Full system call compatibility

Linux binaries use system calls to perform functions such as accessing files, requesting memory, creating processes, and more. Whereas WSL 1 used a translation layer that was built by the WSL team, WSL 2 includes its own Linux kernel with full system call compatibility. Benefits include:

• A whole new set of apps that you can run inside of WSL, such as Docker and more.
• Any updates to the Linux kernel are immediately ready for use. (You don’t have to wait for the WSL team to implement updates and add the changes).

How to install WSL and update to WSL 2

Before installing any Linux distributions on Windows, you must enable the “Windows Subsystem for Linux” optional feature.

Open PowerShell as Administrator and run:

dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart

To only install WSL 1, you have to restart your machine and move on to install your Linux distribution of choice. You can download it from the Windows store.

To update to WSL 2, you must have a running Windows 10, updated to version 2004, Build 19041 or higher.Before installing WSL 2, you must enable the “Virtual Machine Platform” optional feature.

Open PowerShell as Administrator and run:

dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

Restart your machine to complete the WSL install and update to WSL 2.

To activate WSL 2 you need to update the kernel component. You can do it by visiting here and install the update by following the steps.

You can check the WSL version assigned to each of the Linux distributions you have installed by opening the PowerShell command line and entering the command (only available in Windows Build 19041 or higher): wsl -l -v

wsl --list --verbose

To set a distribution to be backed by either version of WSL please run:

wsl --set-version <distribution name> <versionNumber>

Make sure to replace <distribution name> with the actual name of your distribution and <versionNumber> with the number ‘1’ or ‘2’. You can change back to WSL 1 at any time by running the same command as above but replacing the ‘2’ with a ‘1’.

If you want to make WSL 2 your default architecture you can do so with this command:

wsl --set-default-version 2

Conclusion

Due to the limitations in WSL1 Microsoft re-invented the WSL1 and introduced WSL2 which is available in Windows 10 version 2004 update. Instead of using a compatibility layer which converts Linux system calls to windows system calls, WSL2 offers its own isolated Linux kernel running on a thin version of the Hyper-V hypervisor. And this gives WSL2 much more opportunity to handle things better than WSL1. Hopefully this guide and informations will help you to understand why WSL2 is a better choice over WSL1.

Tags: Windows Subsystem for Linux, WSL1, WSL2