Posts by "Roxana"

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Comparing Laravel and Core PHP

July 15, 2021 Comments Off Roxana read

App development is one of the most popular tasks in the tech industry. Millions of apps are being created every month and developers use two primary methods of building them:

Utilizing a framework, or
Building it from the ground up with a programming language.

Developer preference, the details of the project, the skills of a developer, and the resources available are some of the things that contribute to how apps are put together. From integration capabilities to high-quality functionality, two systems that come to mind for app development are Laravel and Core PHP.

Core PHP

Used to construct dynamic web pages, Core PHP is a pure programming language that helps developers build an app from scratch. With this language, code is written from the beginning rather than relying on a framework. Frameworks of PHP still use the PHP language in addition to:

Debugging and code repairing tools
MVC, MVVM, and more that separate certain layers of code (i.e. business and appearance)
Pre-programmed actions for repeated coding

Laravel

This is a PHP framework that is known for being adaptable to large, complex apps and maintains a speedy performance. Compared to Core PHP, which is considered an expert-level development tool, Laravel is simpler and recommended for novice app development.

The Comparison

Quality of Development

Made for developers with little experience, Laravel has a structure that makes code solid, protects it, and allows for easy comprehension. On the other hand, Core PHP is developer-based. This means a developer’s skills determine what the code looks like and how it functions.

Simplicity/Complexity to Learn

Its automated features make Laravel much easier than Core PHP for developers to grasp the function of. However, as with any new software, the application and use of development tools still take time to master. For developers who are easily adaptable to their changing field, they have more freedom in how to put their app together. By learning how to use Core PHP, it will make using frameworks constructed in PHP much simpler.

Level of Protection

Due to its basic, loosely-based structure, Core PHP doesn’t contain any internal security measures. Developers must code their own security protocols into the software. Alternatively, Laravel does have a security system in place with authentication protocols. It protects against cross-scripting attacks and prevents SQL injection, among other features.

The Result

Core PHP and Laravel utilize the PHP language or framework. While Core PHP is a programming language and Laravel is a framework, they are both beneficial to app development. Out of the two, Core PHP is certainly better suited for more experienced developers, but it can be a good practice tool as well. Laravel is also trusted by the developing community with access to many tools and features. It isn’t necessarily hindered by how simple or complex the app’s code is. It’s viewed as a trustworthy aspect of the development process.

With every development project, the tools used can play an important role in how efficient and successful the project is. Doing personal research into each potential avenue for development is a great way to get accustomed to what tools and software are best for what kind of project.

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Why Are Progressive Web Apps Becoming Popular?

July 14, 2021 Comments Off Roxana read

There are three different kinds of apps: native, hybrid, and progressive. While each has its own approach, progressive web apps are slowly taking over the app industry. An evolving technology-dependent society has heavily contributed to this but what is it about progressive web apps that are so appealing?

What are progressive web apps?

Similar to Java’s main goal, progressive web apps have adopted a ‘code once, use anywhere’ motto. This allows them to be used through a phone app or a website. However, the code is universal and is used for both versions. Teams of developers prefer to use progressive web apps because they are restricted to the number of resources they can use or they want to release their app to the market faster.

What are native apps?

Native apps are the oldest of the three types. They are coded individually to suit different platforms, meaning there is essentially as many versions of the same code as there are platforms the app is on.

What are hybrid apps?

These apps utilize third-party frameworks with similar basic codes to build apps. Some of the frameworks used are React Native, Cordova, and Ionic. The third parties help developers release the app on different platforms without having to completely alter the app’s code. They serve as a bridge—thus, becoming a hybrid of native and progressive web apps.

FIRE

The acronym, FIRE, stands for Fast, Integrated, Reliable, and Engaging. This is the goal of every progressive web app.

Fast

Patience among users is decreasing significantly as time goes on. They want fast loading and performance speeds as well as pleasant experiences. If they have to wait for apps to load, it’s likely they will uninstall the app. Ensuring that an app processes quickly and efficiently is crucial.

Integrated

Integration and ease of access across multiple devices and platforms plays a significant role in the success of an app. This is often combined with the Fast element of progressive web apps since users want availability just as much as speed when it comes to their apps.

Reliable

Data privacy and an app’s dependability are ‘make or break’ features for users. They need to know that any information collected is protected from hackers or viruses, as well as being able to consistently use the app without being concerned it will crash.

Engaging

Modern society has evolved to be visually-focused. If an app functions properly but isn’t appealing due to its plain format, a user is highly likely to uninstall it. Aside from the general visual appearance, users want to be able to interact with the app’s features. Having features that are broken will deter users from using the app—again, assuming they do not uninstall it.

The Consensus

Progressive web apps have been utilized by major companies such as Twitter, Pinterest, and Uber. However, as long as the app follows the FIRE characteristics, users won’t concern themselves with whether it was built with a native, hybrid, or progressive structure. Developers should, on the other hand, keep in mind the difficulty of building apps using each of the three types and apply that to the criteria for deciding which to use.

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Kotlin vs. Java for Android App Development

July 13, 2021 Comments Off Roxana read

When it comes to Android app development, using Java may not be the best way to go. In fact, it might result in more frustration and be more time-consuming than other programming languages. Kotlin, however, seems to have an edge (or a few) over Java.

Here are 5 areas Java struggles with and why Kotlin is a better choice:

Null Safety
Data Classes
Async Calls
Bad SDK APIS
Data Serialization of Activities

Null Safety

In Java, null safety checks are often either used freely or rarely, depending on the developer. However, when they are used less, this can make an application vulnerable. Kotlin has tools that help with null safety. For example, for data that is non-nullable, some kind of value must be assigned to the object when it’s created. This means there will be no null pointer exception or a need for the safety checks.

Data Classes

With data classes in Java, a significant amount of code is needed to establish them. The more code there is, the more errors a system can have. However, Kotlin simplifies this process by automatically lowering the lines of code needed. It has pre-generated codes for the following classes:

Getters
Setters
Equals
hashCode

Async Calls

Java struggles to manage network calls and a UI thread simultaneously. It can allow for a callback or implementation of rxJava in order to cancel a request, but that involves extra steps, frustration, and time. Kotlin’s coroutines, on the other hand, individualize threads to enable quick suspension of executions when necessary while reducing the time it takes to cancel a request such as with Java.

Bad SDK APIS

In regard to what is known as ‘toasting’, the Android system requires developers to assign a message, its context, and duration to the toast. Java contains a static utility function to do this, which means the code base has to be referenced to and makes the process more rigid. Kotlin once again simplifies this process by pre-generating and inserting the toast based on what is written in a short piece of code.

Data Serialization of Activities

The grouping and assigning of data to that group in order to do things like object sharing across multiple screens is very much possible in the Android system. To do this, a ‘Parcelable’ function is available. Serializing data this way requires code to be written for each section of code to ‘marshal’ or ‘unmarshal’ it. The code must also be changed across the sections when adding or removing data and functions. Once again, Kotlin has can generate this serialization with the code, ‘@Parcelize’.

Java Just Doesn’t Stack Up

Compared to Kotlin, Java primarily falls behind in these categories. Developers do, however, have different experiences with the various software out there. Some may find Java to be more suited to their preferences instead of Kotlin. Nonetheless, both Kotlin and Java each contain unique functions that separates them from the other. Professional backgrounds, personal preferences, and details of specific projects may affect which programming language is better. This is also why the two can be compared in different aspects of the Android app development process.

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Comparing Technology: Flow vs TypeScript

July 12, 2021 Comments Off Roxana read

As the evolution of software development continues to expand, the need for complex coding increases as well. There are numerous programs and programming languages to help with projects within every aspect of the tech industry, but the decision to use one over another may affect the functionality of the project. Thus, it’s important to make smart choices on the software that is used to construct websites, applications, and so on. Two such languages that have made an impact in the tech industry are Flow and TypeScript.

What is Flow?

Although not a programming language like TypeScript, Flow was developed by Facebook, the same company that created the popular software React. It’s a static type checker that works specifically with JavaScript.

When checking type with Flow, the code ‘//@flow’ must be used so the system knows to use Flow to check for errors in the code. Additionally, file types don’t have to be changed to do this, which makes this program even more useful. However, Flow requires developers to manually run scans for errors.

What is TypeScript?

Created by Microsoft, TypeScript is an open-sourced programming language. It’s typed, meaning that developers have to assign ‘datatypes’ to specific pieces of code in order for it to function properly. Considered a ‘superset’ as well, TypeScript encompasses all of the tools JavaScript has available.

Unlike Flow, TypeScript doesn’t have to be run manually. When a function is executed, TypeScript automatically checks it for errors. This cuts down the time developers would have had to take manually running a check and allows for code to be fixed as it’s being created.

Comparing Flow & TypeScript

TypeScript has many extra tools and layers that Flow doesn’t. For example, decorators and interfaces are tools TypeScript can implement via JavaScript. This makes TypeScript a great choice for more complex projects for businesses with large amounts of data to be coded. Similarly, to be able to complete those kinds of projects, this language is consistently updated by Microsoft and adapts to the changes in the tech industry. The community behind it is extensive and highly active due to Microsoft’s reputation, as well as its functionality. On the other hand, the complexity of TypeScript means it’s a harder language to learn.

Flow is much simpler than TypeScript, primarily in its learning curve. It’s designed to be easy to learn while also being integrated into current projects. Having been released by Facebook, Flow and React are often used together. They are highly compatible with each other, which can be a benefit for developers with less experience. Since Flow is a type checker displaying no other significant functions, it also doesn’t have as big of a community as TypeScript. The lack of questions being asked and problems solved could be a result of being clear and simple enough that nothing needed clarification or fixing.

Ultimately, the developer’s preference and details of a project should be considered prior to choosing Flow, TypeScript, or another development tool. Each software has benefits and weaknesses, but many more factors should play into the decision to use one over the other. Development experience, project details, time to complete the project, and so on are just some of the elements a developer should consider before making their decision.

Developer

Developing Android Apps: The Google Guide for the Perfect Architecture

July 9, 2021 Comments Off Roxana read

When developing Android apps, software architecture should be followed to ensure that the apps function properly and smoothly. The elements of such a process build on one another so it’s important to have an understanding of how each works as well as choosing the best tools. One of the biggest corporations in the world, Google, has created a basic architecture to help developers go about making incredible apps.

The main basic characteristics of a good software architecture include:

Flexibility
Maintainability
Simplicity

Flexibility

The tech industry as a whole is always evolving just as the elements of apps change. An app’s architecture should be able to handle additional data and features while still functioning. As more features and data are added, file sizes become bigger. The app becomes heavy and can slow down. This is why flexibility is so important.

Maintainability

An app’s maintainability is attributed to influences from the world (i.e. communities of developers, libraries, bugs and glitches, etc). All apps should, to some degree, be able to function without much of those influences. Maintainability helps an app run as independently as possible without sacrificing quality.

Simplicity

It’s more difficult to work with apps that are complex in nature. Simplifying the process at any turn will make developing and using an app easier. More data can equal slower performance or poor user experiences, which in turn could have been avoided by utilizing tools to combat those issues.

Tools to Use for Excellent App Development

As a part of Google’s recommended architecture, several different tools and software are praised for their effectiveness, among other things. There are also certain elements Google thinks apps should have. Some of these are:

Model-View-Controller (MVC)
Model-View-Presenter (MVP)
Model-View-ViewModel (MVVM)
Model-View-Intent (MVI)

Those tools are considered significant in one way or another. They have benefits to an app and are used in a unique way because they each handle data differently.

The Official Architecture Recommended by Google

Out of the tools previously mentioned, Google suggests basing an architecture around the Model-View-ViewModel (MVVM) structure. Keeping that in mind, here is the official architecture recommended by Google:

Jetpack

Created by Google, Jetpack is specifically used for Android app development. It utilizes libraries to help developers decrease the need for writing the code for tools they want to use.

UI Layer

The UI layer here consists of several tools as a part of this successful architecture. There is a ViewModel (1^st cache layer), LiveData, Repository (2^nd cache layer), and a database, network, and network-bound resource.

Benefits of Google’s Recommended Architecture

By using this software architecture, developers can create apps that are flexible with adding and changing data, keep up with software updates, are compatible on various devices or through different platforms, and run smoothly.

One thing Google doesn’t mention in its architecture is a dependency injection, which can be extremely useful. Jetpack does contain a tool called Dagger, but it can be complicated to get the hang of. If a developer decides to use dependency injection, there are a few options to choose from:

Koin
Kodein
Toothpick

Of course, the developer should ultimately use his or her knowledge to figure out what is or is not needed. Even a recommendation by Google shouldn’t solely determine what tools and software are used for a project.

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Picking a Database: SQL or NoSQL?

July 8, 2021 Comments Off Roxana read

The use of databases allows for many functions in the tech industry. There are two types of databases that developers use—SQL and NoSQL.

What is an SQL database and what is it used for?

Standing the test of time, SQL is the Java of databases. It’s used in majority of software compared to NoSQL databases.

Structured Query Language (SQL) databases follow a model of relation, hence why they are called relational databases. This means that data is organized into relation groups. It’s a form of structuring data and organizing it by using database schema—the connection between fields of data in tables and the tables themselves. Additionally, SQL databases are English-based. They use commands like ‘INSERT’, ‘DELETE’, ‘SELECT’, and so on to manipulate data.

Examples of SQL Databases

Oracle
Microsoft SQL Server
MariaDB

What is a NoSQL database and what is it used for?

NoSQL databases are much younger than SQL databases. As the name suggests, these databases don’t use the same structure as their predecessor. NoSQL databases were designed to disregard the strict process involved with relational models, earning the characteristic, ‘schemaless’. They target large amounts of data while focusing on efficient scaling and adaptability.

With this flexibility and lack of schema, NoSQL databases were divided based on the models they used, some of which are:

Document: The name is self-explanatory—this model is analyzed through unique keys for each document and searches for specific content they contain.
Graph: It’s presented as a visualization of mathematical data, which can be searched based on formulas, for example.

Some examples of NoSQL databases are Cassandra, Redis, and MongoDB.

Which is better?

By separating the databases into different categories, their strengths and weaknesses become more apparent.

Schema or no schema

The structure of schemas allow for better organization within a database and can be easier to search data. However, schemaless databases make adding data much simpler. This means businesses who are continuously changing may find NoSQL databases to be a better fit.

Accessibility & the integrity of data

SQL databases process commands one at a time, though they can identify problems sooner. Performance is slowed because of this. If faster performance speed access to data results are needed, NoSQL databases are a good choice since they run commands one after another without waiting for the results of previous commands.

Joining

Normalization, or the deletion of multiple copies of the same information, is used in SQL databases. This helps when data needs to be combined across different tables. On the other hand, with NoSQL databases, the only way to do this is to make a specific folder for this information in order to join it together.

The Result

Each database is used for different reasons that are entirely up to the developer. SQL databases are best used to protect sensitive data and large collections of data that needs to be sectioned. An example of this is banks. NoSQL databases are preferred for simultaneous tasks that need to be conducted quickly and can be easily accessed. Text searching millions of pieces of data in an app is a good example. Ultimately, the purpose of a database, as well as what information it would hold, is one of the most important things to consider when choosing whether to use and SQL or NoSQL database.

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Why Use TypeScript for Developing Web Applications

July 7, 2021 Comments Off Roxana read

JavaScript has been around for over two decades and is still used widely in the current tech industry. However, as technology evolves, it has begun to fall behind. Thus, programs such as TypeScript were created to provide a solution.

TypeScript is a statically typed programming language that builds on JavaScript. Where JavaScript’s dynamically-typed language wouldn’t allow for the classification of both variables and element types, TypeScript does implement this. Things like decorators, interfaces, types, and enums are tools that it adds, making it similar to an upgrade for JavaScript.

Benefits of TypeScript

It contains an auto-complete feature that decreases time typing out commands by suggesting the command it thinks a developer needs.
Static type checking with TypeScript runs in the background. Before the execution of a command, it scans the code for errors and alerts the developer if something needs to be changed.
Using TypeScript within a team of developers is made easier due to its simpler language, clear labeling of code, and increase consistent readability.
Unlike JavaScript, which requires much more code to be written and can lead to system vulnerabilities, TypeScript’s predictive tools decrease the total amount of code needed. This makes scalability much easier. TypeScript also alerts developers when any code becomes invalid due to changes with other sections of code.
Compatibility with other languages, software, and browser search engines is universal with TypeScript. Code is first written through JavaScript before being converted to an easily integrated code for each search engine. This is JavaScript’s biggest strength, which TypeScript capitalizes on.
It fills in JavaScript’s gaps when it comes to the lack of features and tools available within the multi-paradigm language of JavaScript.
It’s considered an intersection type, which is significantly more effective than Javascript’s mixin. Intersection types let developers connect to more than one interface to manage necessary methods and is faster compared to mixins.
While TypeScript produces JavaScript files that are slightly larger, the excess features of it that weren’t used will vanish once the code has been compiled. (Keep in mind that TypeScript is essentially an add-on to JavaScript.)

Disadvantages of Using TypeScript

It wouldn’t be fair to only look at the positives of TypeScript since every programming language has strengths and weaknesses. Thus, here are some disadvantages of using TypeScript:

TypeScript primarily adds to the tools and features of JavaScript, however, it is dependent on third-party libraries such as JQuery. TypeScript incorporates JavaScript code, but JavaScript doesn’t implement TypeScript code. Its primary goal is to add to JavaScript and not take over its usage.
It takes a little longer to learn how to use TypeScript due to its own tools and features. Developers, on the other hand, have argued that the time taken to learn this language is worth the results it presents.
File sizes are larger with TypeScript compared to JavaScript. It can be anywhere from 20-30% bigger.

The Pros are Worth More Than the Cons

TypeScript has many more pros than it does cons. This makes it an ideal programming language to use. It is not the only recommended language by developers of course. There are so many more good languages out there. To decide whether TypeScript, JavaScript, or another language is the right fit, look objectively at the pros and cons of each, as well as what kind of project it is needed for.

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How Is Python Used for Mobile App Development?

July 6, 2021 Comments Off Roxana read

Interestingly enough, when considering software to develop apps, Python is not at the top of the list. Programming languages like JavaScript, React Native, and Kotlin are much more popular. Nonetheless, can Python be used to create apps? Absolutely!

Python is known for its flexibility and adaptability to various projects. It’s universal, but that doesn’t make it ideal for every task. In order to incorporate the processes needed to create apps, Python utilizes a framework called Kivy.

What is Kivy?

Released in 2011, Kivy is open-sourced and free—a developer’s most searched for criteria. Development across multiple platforms becomes possible through this framework, made specifically for use with Python. This cross-platform development allows Python to make apps for mobile and PC.

BeeWare

BeeWare is another framework that holds a motto similar to Java’s ‘Write once, run anywhere’—“Write once, deploy everywhere.” It promotes a system that is simple enough for developers of varying skill levels to learn, which in turn makes creating apps with Python easier. Additionally, it claims BeeWare creates apps that include native user interfaces.

Python-for-Android

This, as its name suggests, makes it possible for Python to be integrated with Android on an easier level. Python-for-Android serves to compile a folder of needed tools that lets users open apps.

PyJNIus

An Application Programming Interface (API), this framework requires a deep understanding of Android API. It gathers information regarding different elements such as restart, vibration, and pause.

Disadvantages of Using Python for App Development

It doesn’t contain a compiler. Instead, it has an interpreter, meaning issues may not be obvious until the processes are executed.
All bases must be covered when using Python for app development. Every possibility for the expressions must be included.

Time is a Necessity

When creating an app, time is one of the most important elements, even if a development team is working on it. Developing an app alone may take up to several months for each step. Hiring a team of developers, however, will likely significantly decrease that time but could come with a big price tag. Regardless of which path is taken, time should be set aside for the steps in the project as well as for the whole project.

Hiring a Development Team

By choosing to hire a team of developers, the cost of the project will have to be calculated. This will ultimately depend on how complex the app will be and where the team is. Complex apps are more expensive and take longer to develop while simpler ones are cheaper and less time-consuming. Standard of living and currency conversions may also play a significant role in the overall cost.

Summary

Though it isn’t initially viewed as a top app developer, with the right tools, a flexible programming language like Python can be used to create excellent apps. Major corporations like Pinterest, Spotify, and Instagram utilize Python within their systems. Still, for non-developers wanting to use this language to make their own apps, a solid understanding of Python and the process of app development should be present before any action is taken.

Employer

Flutter vs. Kotlin: Which One to Choose in 2021

July 5, 2021 Comments Off Roxana read

Flutter programming language which has been developed by Google, and the Russian-produced Kotlin share similarities and differences within the same process of app development. Initially released in 2011, Kotlin is the oldest of the two. Flutter was released in 2017; however, both are considered ‘new’ tools in the tech industry.

Kotlin

JetBrains, a Russian company, developed this programming language. Even though it was released in 2011, Kotlin struggled to gain popularity until 2017—the same year Flutter was released. It’s statistically typed, compatible with Java, and is developed for Android. Additionally, it is a part of Kotlin Multiplatform Mobile, or KMM, which is a framework that utilizes Kotlin on top of Objective-C or Swift.

Flutter

Unlike Kotlin, Flutter isn’t a programming language. It’s a development kit for user interfacing. It is free and open-source—a big plus—and uses widgets to build apps. Designed to make app development simpler, Flutter can be used in iOS and Android systems while its widget-based process builds on pre-existing codes and elements. Alongside widgets, Flutter uses a programming language called Dart.

The Comparison

Since Kotlin can only be used with Android systems, comparisons will be done with that in mind.

Coding Speed

Kotlin’s coding speed has become faster than Java; however, it is Flutter’s hot reload feature that makes it even quicker with coding than Kotlin.

Winner: Flutter

Fluidity of Performance

Both Flutter and Kotlin handle coding and performance quickly. The biggest difference between the two here is that Kotlin was built to work solely for Android, whereas Flutter spreads itself thinner in regards to the performance by functioning in iOS and Android systems.

Winner: Kotlin

Level of Attention/Preference

The status of Kotlin and Flutter as open-sourced and free means more developers are likely to choose one of the two. Kotlin has increased in popularity within the past year, though Flutter is beginning to close the gap. Flutter’s flexibility is a desirable aspect that gives it an advantage against Kotlin.

Winner: Draw

Pros & Cons

Kotlin

The biggest benefits when using Kotlin is its Java compatibility and simplicity. Companies like Pinterest, Coursera, and Trello like this programming language. Unfortunately, it can display inconsistent speeds in code compilation, and only a small community of developers supports it.

Flutter

Best used for complex systems due to its speed and flexibility, Flutter is recommended more for small- to medium-sized businesses. Uber, Airbnb, and Alibaba are some of the apps that use Flutter. Cons with Flutter include some instability in its structure and function as well as being a new development tool.

Summary

While Flutter and Kotlin share similar advantages, even sometimes small disadvantages, the two can be used for very different projects. Every development tool has certain elements that it’s better at than the others. The largest variance between these refers to how programming languages are used. Since Flutter isn’t a programming language but uses one (Dart), it also has wider parameters for development with its widget element. Kotlin may be more rigid but, similar to a comparison between Java and Python; it’s more of a veteran in the tech industry. Development tools continue to evolve, and there’s no way to tell how long one will remain at the top of the list or when they will become outdated.

Employer

AI Development: The Top Programming Languages in 2021

July 1, 2021 Comments Off Roxana read

Programming languages are at the root of all technology. They are vital elements in the tech industry, used for all areas of technological evolution. One area in particular, which has seen a significant focus in over the years, is Artificial Intelligence (AI). While programming languages are largely responsible for a wide range of technologies, what about how those languages are utilized in AI development?

Let’s introduce some programming languages that can help!

Python

One of the most versatile programming languages out there, Python is a veteran in the tech industry. It’s excellent for complex systems and projects. Some of its features that help with AI development include:

Simple syntax
Open-sourced and free
Easily adaptable
Ever-expanding libraries

Contained within the GNU Project and released in the 1990s, the R language has a prominent place in data analysis. Its math-based structure allows it to use data in the form of graphs and symbols to help with AI development. Other benefits are:

Succeeds Python in processing large amounts of input
Smoothly integrates with other programming languages
Incorporates the visualization of data in its system

JavaScript

This dynamically-typed programming language is backed by the Java name. It’s also flexible like Python. In AI development, JavaScript:

Maintains high security to protect sensitive data
Quick to complete processes in performance, development, and debugging
Utilizes WebGL and GP for higher performance speeds

C++

Developed in the 1980s, C++ is an enhanced version of its predecessor language, C. It stands above the other languages in this list by being more efficient and containing a higher level of control. C++ processes things at a high speed and is statically-typed. Additional features that help AI development include:

Solves exceptionally difficult problems fast
Backed up with a large selection of libraries and tools

Scala

An all-rounder, Scala is a language that has good data security, is very accessible, and utilizes a collection of strong development tools. Its best feature is a compiler tool that helps manage and search data. Functional and object-oriented programming is also used to improve performance as well as scaling. Other important features are:

Java stack compatible
Concurrency for analytics
Useful for large, complex projects

Summary

Numerous programming languages are being created and released every year. While there are many excellent ones, AI development is continuously evolving. Languages with AI features must stay up-to-date on the latest additions to the industry in order to maintain their functionality. Updated technologies can struggle with outdated versions of programming languages, software, and so on. Establishing smooth, reliable user experiences as the tech industry adapts to the technology demand is crucial to keep loyal customers and not get swept up in better programming models.