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8 Predictions of Future Programming Based on 2017 Trends

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Computer programming involves writing instructions that a computer system follows, or writing and testing the code for software and applications. In accomplishing these tasks, programmers must learn languages such as C++, Java, or Scala. Some of the job responsibilities are similar to those of software developers. They include modeling and planning the way in which code will be written.

Programmers often work with integrated development environments and are involved in building, fixing, and modifying:

  • Computer operating systems
  • Social networking applications
  • Software-as-a-Service solutions
  • Automated internet search platforms
  • Artificial intelligence programs
  • Voice recognition systems

The programming of the future is sure to be different than that of the past, in many ways, and is being shaped by the trends of today. From new languages to functional programming and the use of big data, there are bold predictions swirling about the field of computer programming. Here are eight of them that paint a detailed picture of what may be to come.Future Programming

1. Scala Will Become More Mainstream

functional-programming-with-yopp-worksReleased in 2003, after design efforts began in 2001, Scalable Language or Scala is an object-oriented programming language that is interoperable with Java. A program written in this language will run in any environment that Java runs in, making it highly versatile. The similarity makes it attractive to programmers. Capabilities include support for functional programming (which will be highlighted next) and compatibility with algebraic and anonymous data types.

Operator overloading, raw strings, and named parameters are available, although Scala can run on a Java Virtual Machine that doesn’t include these functions. It supports cluster computing as well. Yoppworks offers classes and training on building applications using this language with Akka, an open-source toolkit. It enables developers to create software applications on their computer, so long as they have access to the internet.

Applications developed in this manner are efficient and easily scalable, further boosting the appeal and potential of Scalable Language.

Functional Programming

This method of programming uses declarative statements and expressions, focusing on mathematical functions to define statements. It is based somewhat on lambda calculus. Despite being rooted in a system developed in the 1930s, the concept is now looking like a fundamental one for writing the code of the future. Many programming courses including Yoppworks educational classes, are focused on this idea because of these predictions.

2. Functional Type Programming Will Be the Basis for Writing JavaScript

However, it won’t be limited to HTM, imperative object-oriented, or other singular aspects of code writing, but for drafting entire sets of code. Some elements from the past are no longer necessary and many, in fact, have become irrelevant. Tools for creating more legible code are available that work with the advanced computer power of today. Programmers can write shorter, less complex code for higher-order tasks and by combining fundamental functions. Future Programming

For those who want to learn to program, this means learning new strategies than computer programmers just a few years ago did. Fortunately, the training resources and education are available with our expert team at Yoppworks.

3. Programmers Will Become More Dependent on Functional Languages

The concept supports running sections of software in parallel, across different machines and CPU cores. That eliminates the need for complex synchronization. Therefore, Web requests and other functions requiring concurrent processing can be better managed. The trends also affect programmers of smartphone applications, interconnected devices, and servers that support the interactions between them.

Languages such as Scala, Haskell, and Clojure have not only grown in popularity but are expected to continue to as the demands for flexible, functional programming expand.

Open Source

Open source software has already dominated the computer programming world. Vast networks of professionals and other enthusiasts have collaborated to make application solutions better. One can access code and modify, copy, and share it. The Apache HTTP Server, Firefox, MySQL, and Perl are all examples of open source programs.

4. Apache Spark Will Dominate Data Processing

Datasets are becoming increasingly larger, but this open source framework uses fault tolerance and data parallelism to allow programming on a different level. It provides an interface for programming data clusters. Built by software developers from more than 200 companies, Apache Spark’s features are supportive of big data processing. Future Programming

It runs on any platform and is speedier than other solutions; in fact, it is 100 times as fast as Hadoop clusters. The same data can be used to execute multiple jobs, thanks to in-memory data sharing and cyclic data flow, demonstrating the platform’s potential as the demand for faster data processing accelerates.

5. Open Source Won’t Only Be an Interest to Programmers

Programmers love to tinker with open source, but they and people taking computer programming courses at Yoppworks won’t be the only ones interested in the concept. Already, we are all using open source software when we visit websites, stream music, chat with friends, and check email. It’s used to route and transmit data, right down to the core of today’s communication infrastructure, which is based on remote computers, mobile phone applications, and Web browsers. Remote computing, or cloud computing, is increasing in importance and is sure to continue to as we rely more on internet-connected devices.

6. The Preference for Open Source Software Will Be Ubiquitous

The concept appeals to many different types of people. It gives them control over code. Even non-programmers can make use of the software because they can tweak it to their needs, rather than use it as marketed. The appeal is also growing because such software is easier to study than other types; for example, students can share their work while developing their skills. Open source has changed the way people learn computer programming, right down to sharing mistakes to help others avoid them.

Fixes, updates, and upgrades can be made without the permission of original programmers. Quick fixes can mean software is more secure. Also, since programmers tend to work on open source software over the long term, they can depend on these tools without them becoming obsolete. Therefore, reliance on open standards may mean more product stability than with many proprietary software tools.

Big Data

Scala, the programming language used to write Apache Spark, and which is used for building applications with Akka, is part of this movement. Aside from fueling the demand for related programming courses, this has even more potential impacts on the future of programming. These points below highlight both the future and what is happening now.

7. Big Data Adoption Is No Longer Limited to Analytics

big-dataNot too long ago, IT departments were focused on using big data for analyzing network activity, usage, and security, among other things. Today, the applications are increasingly driving the demand in all industries. Many analytical processes will still require vast quantities of data, but big data’s application in banking and securities, communications and entertainment, healthcare, education, manufacturing, retail, government, energy, insurance, and transportation give it leverage that computer programmers cannot ignore.

8. Big Data Is Fueling the Potential for AI and Machine Learning

There is a connection with the emergence of data virtualization, as big data analytics are possible in real time without moving any information. Data resources don’t even have to be in a single repository. The future looks brighter than ever for artificial intelligence and machine learning. Both depend on data to build predictive models that could be used to support a device’s potential for autonomy.

Predicting security issues before they happen is another possibility. This is significant, given the vulnerability of the Internet of Things. Big data and relevant programming techniques may keep hackers away from home security systems, automotive electronics, and even toys as cybercriminals seek new ways to obtain data and disrupt lives.

We, therefore, predict programmers will implement artificial intelligence and machine learning to solve some of today’s most pervasive computing issues.

Learn Computer Programming with Today’s Most Relevant Training Courses

learn-programming-with-yopp-worksThe tools, technologies, and resources available today will have a profound impact on future programming. It’s also easier than ever before to obtain training. From the basics of functional programming to specific languages such as Scala, you can learn from the comfort of your own home. For more about the latest online programming courses, contact YoppWorks at 1-888-322-6002 or browse our online training options today.