Which programming language is the most inefficient
The top 10 programming languages in 2019
Chapter in this post:
Our world is technical, digitized, smart and there are displays everywhere on which we do this day in and day out. It would be an understatement that knowledge of programming languages and the ability to actually program is the future. Because it’s not just since yesterday that it’s good to understand how everyday devices work. In terms of career, with the right knowledge you are no longer just a nerd, but take part in the labor market with high pay. That is why you will find the top 10 programming languages in 2019 - or three top lists - below. Because depending on the approach, the ranking looks different.
What are the top 10 programming languages in 2019? And which language for programming apps, devices, systems and more is right for you? You can find the answers here! ;)
Top 10 programming languages in 2019 according to Programmer Pay, GitHub, and Google
If you are becoming a programmer and want to choose the most lucrative language beforehand, this list is for you. It was compiled by Ruchika Singh Aggarwal on CodeBurst.io. This Top 10 does not per se show which languages are used most frequently or work most efficiently, but how well those people are paid on average who deal with them professionally (in the USA). In the original post you will also find information on the frequency of GitHub projects, search volumes on Google, etc. Here is the slightly abbreviated and translated summary:
# 2 - python
According to the linked source, people who make a living doing Python programming make an average of $ 117,500. Python is also one of the leading object-oriented programming languages. This language is the second most popular on GitHub. There are no major fluctuations in the search volumes compared to 2018 and 2019. You can get started with this book: Python 3 - Programming for Beginners by Michael Bonacina.
# 3 - Java
According to the above list, Java can earn an average of almost $ 102,000 a year. The popularity on the developer platform GitHub coincides with the local list position. Due to the competition with Python, Java has recently slipped significantly in search engine queries. However, it can't hurt to read this too: Learn to program Java professionally from Markus Neumann.
# 4 - Go
# 5 - Elixir
Elixir can also be seen with $ 76K (global) or $ 123K (US). Most recently, the programming language climbed three places in GitHub's popularity list. However, inquiries from Google about Elixir have remained stable year-on-year. Wikipedia describes it as a "functional, concurrent general-purpose programming language". You can find an overview of the literature (in English) with this link.
# 6 - Ruby
The primarily object-oriented programming language Ruby, which can also be used in other ways, corresponds to the previous place in terms of remuneration. On GitHub, it slipped one place year-on-year. With regard to Google trends, too, the comparison looks rather downward. For the right projects, however, getting started with Ruby can be worthwhile: I Love Ruby by Karthikeyan A K.
# 7 - Kotlin
Kotlin ranks globally and US-specifically at $ 57K and $ 125K. There is a great need for programming skills in this area as Kotlin is the official language for Android app development. While iOS and macOS apps tend towards Swift, Android apps on smartphones, tablets, wearables, projectors, screens and more are based on Kotlin: Getting started with Kotlin - developing apps with Android Studio by Thomas Theis.
# 8 - TypeScript
To begin with programming payments, here are the global and US-specific numbers: $ 60K and $ 115K. In a developer survey by “Stack Overflow”, TypeScript was named the tenth most popular programming language. The programming language launched by Microsoft is the eighth most popular on GitHub. Searches went up this year. Here more information: Programming in TypeScript by Boris Cherny.
# 9 - Scala
Despite the penultimate position in this list, you can look forward to a lot of money as a programmer with Scala knowledge if you are properly employed: $ 78K global average and $ 143K as a guide in the USA. In 2019, Scala was the twelfth most popular programming language on GitHub. The search engine queries are stable compared to 2018. There is an introduction here: Amazon search results, mostly in English.
# 10 - Clojure
With Clojure as a professionally applied programming language, we're at numbers of 90K and 139K in annual US dollars. Clojure is not that high up on GitHub and even slipped year-on-year. The Google search volumes remained roughly the same. Books on the functional programming language published in 2007 are mainly available in English: Literature that you can order from Amazon.
Other top lists, after searches with + Programming or + Tutorial
In addition to the English-language source listed above, there are also German web posts that deal with top lists for programming languages in 2019. Other standards are also applied or other studies are cited. For example, the so-called TIOBE index is used at JaxEnter.de. The company Tiobe Software BV examined search queries on Google, Wikipedia, YouTube, etc. and analyzed them not only with regard to the language names, but also in combination with the search term “programming”. This results in this list:
- C ++
- C #
- Visual Basic .NET
Another list quoted in the source linked above results when the language name is analyzed with the addition of “tutorial”. Then a list is created with those programming languages that are often searched for for instructions and help articles or videos. With reference to the studies of Popularity of Programming Languages, PYPL for short, the following top 10 list emerges:
- C #
- C / C ++
Which programming language should I learn?
Of course, the lists mentioned and the average income as a programmer should not be used as the only guide. If you want to find out which programming language you should learn best, first ask yourself what or why you want to program. Do you want to write apps for your own devices? Do you want to write apps for other people's devices? Should they run on as many platforms as possible or only on one system? Or do you want to control a certain device, build a website or train a neural network towards a certain goal? There is the right programming language for every project; and maybe it wasn't even mentioned here ...
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Jens has been running the blog since 2012. He appears as Sir Apfelot for his readers and helps them with problems of a technical nature. In his free time he drives electric unicycles, takes photos (preferably with his iPhone, of course), climbs around in the Hessian mountains or hikes with the family. His articles deal with Apple products, news from the world of drones or solutions for current bugs.
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