WHAT PROGRAMMING LANGUAGES ARE MOST USED?

WHAT PROGRAMMING LANGUAGES ARE MOST USED?
Credit: Pexel

Today we are more dependent than ever on technology. It is in how we communicate, in the way we live and currently even in the infrastructure of our homes. As part of this transformation, it is increasingly necessary for talent to dedicate themselves to programming, the language that governs technological and digital ecosystems.

However, dedicating yourself to programming is not necessarily a straight path. As it happens with the job of interpreting, the programmer must know different languages that will help him to register and execute the commands of his creations.

Language? Yes. In programming, there are different types of languages: they are sign systems that allow interaction between humans and computers. Although most of the languages are versatile and serve to achieve almost any objective, today we present you a list of the most common ones and their main use case.

THE PROGRAMMING LANGUAGES MOST USED

THE PROGRAMMING LANGUAGES MOST USED
Credit: Pexel

1.PYTHON

The first of the programming languages that we will meet in this list was born in 1991. Although today it is the first reference in programming, it took some time for it to gain public attention.

Currently it stands out among the majority for its versatility and its ability to learn, becoming a must have for programmers who want to work in Machine Learning and Data Science.

Not only is it easy to use and it focuses on making it easy to read. It also allows you to assemble all kinds of applications and web pages. It is also an incredible ally for projects that involve a lot of data analysis.

2.JAVA

When it comes to versatility, Java is the star of the party. For many years, it captured the attention of programmers around the world, due to its “object” oriented approach. An approach that also allows it to work without conflicts on any hardware.

During its heyday, it was the standard language for the development of all kinds of smart machinery, such as points of sale, ATMs, smart coffee machines, and even web pages.

 

3.JAVASCRIPT

Those of you from the 90s generation will surely remember the hundreds of free games that many websites used to publish in the early 2000s. These games were mostly created with JavaScript.

This language is used, above all, for web development and interaction between the program and its user. It is usually behind the operation of buttons, online games, animations, and even digital forms.

In addition to being a language that is widely used, it is very versatile and easy to learn xxx porno, making it ideal for beginners.

4. SWIFT

Are you interested in the world of apps? You may have to start by learning this language. After all, it is this one that will allow you to publish on the Apple App Store.

It was created precisely by this company, as a hallmark for its applications. It is very similar to its ancestor, the “Objective-C” language, highlighting clarity among its main characteristics.

 

5. C (AND ALL ITS DERIVATIVES)

The last language on this list was born between 1969 and 1972, thanks to Dennis Ritchie at Bell Laboratories. His idea was to create an evolution of the B language, which would allow it to do more in the implementation of various operating systems.

Over time, and thanks to the versatility of this language, other languages have emerged that are derived from C: C/C++, C# and Objective.

Now that you know the most popular languages, which one would you like to start learning?

 

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Business Rule Identification and Extraction through Netron HotRod

How do you migrate from a legacy COBOL system to a modern architecture and ensure that your existing business functionality will still work?

For years you have relied on COBOL as your application development language –– and for batch processing huge amounts of data, it’s hard to beat. But now, your customers are demanding better access to their accounts; your operational units need real-time updates to their data; your supply channel partners insist on closer integration with their systems –– and it seems that just about everything needs integration with the Web.

While COBOL is still efficient at data processing, the language has become much less strategic to the future, because it has lagged in its support for the Internet, layered application architectures, distributed systems and code reuse. By comparison, modern language environments offer ready-to-use class libraries and application objects for Internet, data and Web Service access.

For these and other strategic reasons you have decided it’s time to convert your system to a modern development and deployment platform that will serve your business for the next decade. But can you afford to re-analyze, rebuild and rewrite everything from scratch? Converting to an object-oriented paradigm will require you to morph your business rules into a new class-based object architecture. The challenge in the conversion is getting the correct design requirements. The best definition of the existing requirements is in the current system, and you need to find them quickly. The most compelling reason to reuse your existing business logic is to accelerate the time to market for the replacement system. The next most compelling reason is to reduce risk –– by ensuring your requirements are complete.

The fact that your current system contains millions of lines of COBOL code compounds the problem. The presence of cloned logic further complicates the matter. You need something that can:

• quickly identify business rules in large COBOL systems
• associate the rules with the related data;
• isolate this information into a component design with an interface;
• identify and help eliminate redundancies in the rules
• provide a means to document the rule and extract it from the old system
Netron HotRod™ is the most advanced solution for identifying business logic, isolating and documenting the code that supports the business functionality, and wrapping it in an interface that can be extracted and used to create the business objects in the new architecture.

Why testing?

Verifying that all requirements are analyzed correctly

Many serious software failures are often the result of wrong, missing or incomplete requirements formulated at the requirement analysis stage. Testing, therefore, verifies that requirements are relevant, coherent, traceable, complete and testable. This is the reason why testing really begins at the outset of a project during the requirements specification phase, prior to the generation of a single line of code.

Verifying that all requirements are implemented correctly

Adequate testing ensures that software operates as expected, providing correct user response and works as per requirement specification. Comprehensive Testing reduces the risk in the marketplace, minimizes system downtime, and increases the confidence in systems for customers and department staff. The key to software testing is trying to find the myriad of failure modes.
Any software application should be examined, tested and analyzed for risk of failure as per the requirement before it is launched into the market and used by the customer.

Identifying defects and ensuring they are addressed before software deployment

It is important to identify the defects at an early stage in the software engineering lifecycle otherwise it could pose a big problem at the time of deployment of the software application. If these defects are identified early and addressed properly it will reduce the cost of development to the extent of 10x as compared to a point when it gets identified after the deployment. The other major factor associated with this problem, not measurable in absolute terms but of more significance to the organization is losing the confidence of the customer and the resulting embarrassment.

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