Python can be regarded as the future of programming languages. As per the latest statistics, Python is the main coding language for around 80% of developers. The presence of extensive libraries in Python facilitates artificial intelligence, data science, and machine learning processes.
According to TIOBE, the most popular programming languages are Python, C, Java, C++, and C#. Learning these in-demand programming languages will help build a career in technology.
The swift project aims to develop the best language for users, whether mobile programming, desktop apps, or Cloud services. It will be one of the highly demanding languages of 2021. It will continue to be demanding in 2025 and beyond. Therefore, it is considered one of the future programming languages 2025.
JavaScript (Best Object-Oriented Language)
The best part about Java is that developers can write code and run it anywhere. Java is also a popular programming language among developers. According to Statista, in 2021, JavaScript will be the most widely used language by developers.
This makes Mandarin even more impressive to many employers. By learning Mandarin, you can apply for job opportunities in global business and use your language skills to help your employer work internationally.
The fastest growing languages
The Hashicorp Configuration Language (HCL) saw significant growth in usage over the past year. This was driven by the growth in the popularity of the Terraform tool and IaC practices to increasingly automate deployments (notably, Go and Shell also saw big increases).
Mandarin. Mandarin is likely to be the most spoken language in 2050 because of its vast number of speakers. The economic influence of China will also prove vital for the continued use and spread of Chinese languages around the world.
Which programming languages have true longevity? That's not just an academic question; if you're a working tech professional, you want to know which languages have a good chance of remaining important to the industry over the next decade—or longer.
Java is popular among programmers interested in web development, big data, cloud development, and Android app development. Python is favored by those working in back-end development, app development, data science, and machine learning.
Mandarin Chinese (普通话 / Pǔtōnghuà)
More than a billion people speak Mandarin Chinese across the world. The 21st century belongs to China, and knowing the Chinese language will allow you to compete effectively in the global economy of the future. China has become an enormous market.
The future of python in 2022 is very promising. It will remain in the leading position among the other coding languages. So if you are considering learning it or using it for your software development project, this is a fantastic choice.
C++ vs Python Salaries: C++
According to Indeed, C++ developer salaries average $117,000 a year. Python developer salaries average $109,000 a year. These salaries do vary, but in general, the top-paid C++ developer is likely to make more than the top-paid Python developer.
In India, the average salary for a Java developer is ₹4,55,000 per annum(Source: Glassdoor) and for a Python developer, it is ₹4,46,000 per annum(Source: Glassdoor). So if you become flawless in Java or Python, you can easily start your career as a developer.
Bill Gates was proficient at BASIC and assembly(most popular languages those days). However, Microsoft developed C# as a replacement for Java, after they had a falling out with Sun over Java. So Microsoft uses C# where it would've made sense to use Java .
The primary areas of greater demand will be in cloud storage, data management, and information security, the BLS predicts. As a result, some of the fastest-growing tech jobs include information security analysts (33% growth) and computer and information research scientists (22% growth).
Tech Skills
In 2030, these skills are going to be even more important. Demand for coding and programming, for example, will likely increase by 55 percent by 2030, Jacques Bughin, Susan Lund, and Eric Hazan at McKinsey explained. This is inevitable as AI, machine learning, and data science grow in importance.