Top Programming Tools 2017

Top Programming Tools 2017

More than 1000 programming languages have been invented during the era of computers. This fact is curious. Imagine a chief cook using more than 1000 knives at his kitchen. It seems programmers are not satisfied completely with any existing programming language. In contrast to the chief cook who deals with different but limited kinds of food, programmers have to deal with rapidly evaluating hardware. Such a development makes demands on how efficiently coders can interact with computers.

They have to apply their creativity inventing new tools and methods corresponding to the changes around. Inventing new languages, programmers use a famous “do more with less” principle when a result is achieved with a fewer number of code lines. Indeed, sloth is the engine of progress.

Many are interested in what programming tools and languages are worth learning in 2017. The question is rather complex being not purely correct. It sounds similar to asking about vehicles worth driving in 2017.

Some may need a huge truck able to carry marine containers while others can do well with a scooter delivering pizza. However, suggestions about what is in trend among programming tools can be worth considering. So many people, so many minds, and no one could embrace the whole picture of programming. Nonetheless, doing without emphasis on any particular language, the popular and promising programming tools can be suggested with a certain degree of objectivity.

 

What infants know about programming

“If I cry, mom is to give me some milk” – is the fundamental logic to which we all come in early childhood. The significance of this deduction is impossible to overestimate in terms of programming. The notorious IFTTT (If This Then That) logical principle is the background of almost every known programming language. At least it concerns probably the most popular programming language of today – JavaScript.

 

Java tribe

JavaScript developers are in a great demand in the labor market now. Statistics shows that only 0.6 JavaScript developers compete for an actual open position. Being a lightweight object-oriented language JavaScript differs from of Java programming language completely. By the way, due to the relative maturity of Java, about 2.7 Java developers have to compete for an open position today.

 

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The creator of Perl language Larry Wall describes JavaScript as: “…is a nice, lightweight, object-oriented language and that’s why it can fit in a browser and do these things such as run little programs that help you input your data and then send it off to a web server somewhere”.

Another statistics states that more than a half of all developers use JavaScript. This language became essential for the front-end web development. However, its relevance to the back-end development keeps growing. JavaScript is organically creeping into such lucrative areas as gaming and the Internet of Things. Along with the other high-level programming languages (Python, Ruby, HTML5), JavaScript together with its framework jQuery is applied to modern interactive websites and web apps.   

This is an easy-to-learn language for both the newcomers and professional coders who are on close terms even with such low-level languages as C or assembly.

 

The aim is doing things, not programming

It is considered good manners to know several programming languages among professional developers. Moreover, there is a popular myth suggesting that the more languages you know, the more competitive you are on the market. There is some truth in that actually. Although all programming languages are different syntactically somehow, the main difference lies in different purposes and methods of solving problems. Of course, the agility provided by a combination of different languages is a definite advantage for a jobseeker.

We have already proposed learning low-level languages in one of our previous articles. It is clear that C, assembly and even machine code are to be in a great demand for programming and re-programming of microcontrollers in the light of upcoming total robotization.

However, the issue is not about how much one knows, but rather about what one can do with the knowledge. The fact is no any project or a startup accepts programming as its final objective. Running a business, people do not want to code and write programs.

They need software either as a product or as a service to be created and sold. Possessing Ruby, JavaScript, C++, PHP, and Swift does not mean that your coding is to be better corresponding to a particular business goal than the software created by someone else who knows fewer languages.

The quantity does not always mean quality. This frequent mess belongs to problems with the goal-setting system we described in our previous article. Thus, the true software expertise means a clear understanding which programming tool meets the predefined objective best. Indeed, that is exactly what lifts a programmer on the top of the employment chain.

 

The relevance matters

The K.I.S.S. (Keep It Simple Stupid) principle requires not to reinvent the wheel. Considering programming tools, it is worth following the ones who have already found the most appropriate ways to get to results. Besides, the right choice of programming language helps to deploy projects faster. This is not about fashion - this is about time. And, as we know, time is money.  The following table shows in brief some popular tools and languages compatible with tasks and goals in terms of relevance.

 

 

Tool/Language

Task/Goal

Application/Company

Bootstrap

Responsive mobile websites

Newsweek, Life

Java

Websites, software, games,
Android apps

LinkedIn, Amazon,
Netflix

Python (language) +
Django

Big apps, structured data software,
websites

YouTube, DropBox,
Reddit, Instagram,
Washington Post

C++

Large apps, video games,
operating systems, databases

IBM, Intel,
Adobe, Firefox

Swift

iOS apps

Apple

C#,
Visual Basic

Windows apps

Microsoft

PHP

Websites, social networks

Facebook

HTML5

Dynamic websites

Ford, Peugeot

Ruby

Ruby on Rails

Cross platform apps

NASA, Motorola

JavaScript

Front-end development,
websites, web apps

Google,
Yahoo, Mozilla

Google Go

Websites, web apps

BBC,
SoundCloud

 

  

Coding alone is hardly the same as programming

The famous notion defines a programming language as an artificial language created for communication with computers. In other words, using programming languages people create programs and algorithms to control computer’s behavior. Sounds natural once the main function of any language is communicative.

However, speaking English, for example, does not necessarily mean an ability to write novels. The same concerns programming. This is how a very experienced programmer Attila Vágó describes the problem: “Just because you’ve learnt the language, does not mean you know how to program.

 

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Add to that the myriad of frameworks, plugins, libraries, pre-processors, post-processors, coding standards, industry standards, TDD, BDD, content management systems, file versioning, CI, deployment and release management, debugging, ticketing, waterfall, agile, scrum and their combination thereof… and I am not even sure I’ve touched on everything. The point is, being a “coder” involves more or less all of the above. And programming itself is just a tiny part of it. A crucial part, but nevertheless, tiny.”

 

It is never too late to study

Does it mean that learning programming languages is meaningless or overcomplicated being hardly achievable for those who are still far from coding? Being permanently immersed into continuous self-improvement and never-ending training of staff , Indeema claims “it is never too late to study” motto. GitHub CEO Chris Wanstrath echoes it with following: “It is hard to learn when you are dead. While you are still alive, you can become an expert. I am sure there is no any age limits”.

Indeema believes that learning the first, second, or even fifth programming language is always worthwhile for everyone who clearly realizes the future residing in digital. One way or another, but everything will be software as one of IBM heads says. Who knows, what if the efficient interaction with machines could provide us with logic necessary to counter human biases?

Tags: programming toolsprogramming languagebotMachine LearningApplicationTechnologyWebSoftware CompanyDevelopmentFrontendBackendDatabaseIndeema

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