It is often said that there is no best programming language well that’s true. Each language strives at a different task, the top five programming languages listed here will help you get started. You should also know that some languages can nominate for worst programming language. It is no doubt that programming is gradually becoming a norm to survive in today’s world. Due to the vast number of languages, most people get stuck in the dilemma of choosing which language to learn. Below are the top five programming language obtained from a survey carried out on August 27, 2019.
The following languages are chosen based on Usefulness, Flexibility, Speed, and Relevance
As a multi-paradigm language, it is, it supports event-driven, functional, and imperative (including object-oriented and prototype-based) programming styles. The language does not include any I/O, such as networking, storage, or graphics facilities. It entirely relies on the host environment in which it is embedded to provide these features.
Python is an interpreted, high-level, general-purpose programming language. Guido van Rossum and first released his first version of Python in 1991, Python’s design philosophy emphasizes code readability with its notable use of significant whitespace. The construct and its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.
Python is dynamically typed and garbage-collected. It supports a large number of programming paradigms, including procedural, object-oriented, and functional programming. Python is usually described as a “batteries included” language due to its comprehensive standard library. It was conceived in the late 1980s as a successor to the then famous ABC language. Python 2.0, which was released in 2000, introduced features like list comprehensions and a garbage collection system capable of collecting reference cycles. Then Python 3.0, which was a major revision of the language that is not entirely backward-compatible, and much Python 2 code does not run unmodified on Python 3.
C++ is a general-purpose programming language which is an extension of C programming. It was created by Bjarne Stroustrup. The language has evolved significantly over time, and modern C++ has object-oriented, generic, and functional features in addition to facilities for low-level memory manipulation. It is biased toward system programming and embedded, resource-constrained software and large systems, with performance, efficiency and flexibility of use as its design highlights. C++ has key strengths being software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications (e.g., telephone switches or space probes).
Java is a class-based general-purpose programming language. It is object-oriented but not a pure object-oriented language. Due to the fact that it contains primitive types, and designed to have as few implementation dependencies as possible. It was created to let application developers write once, run anywhere (WORA), meaning that compiled Java code can run on all platforms that support Java without the need for recompilation. Java applications are typically compiled to bytecode that can run on any Java virtual machine (JVM) regardless of the underlying computer architecture. Its syntax is similar to C and C++, but it has fewer low-level facilities than either of them. As of 2019, according to Git Hub’s survey, Java was one of the most popular programming languages in use, particularly for client-server web applications, with a reported 9 million developers.
Julia is a high-level science-based programming language which is specially designed for high-performance numerical analysis and computational science. Julia’s is intended to have a type system with parametric polymorphism and types in a fully dynamic programming language and multiple dispatches as its core programming paradigm. It also allows concurrent, parallel and distributed computing and direct calling of C and Fortran libraries without glue code.
Julia includes dynamic libraries for floating-point calculations, linear algebra, random number generation, and regular expression matching. It makes use of eager evaluation, also called strict evaluation. The tools that are available for Julia include IDEs; with integrated tools, e.g., a linter, debugger, and the Rebugger.jl package “supports repeated-execution debugging” and more.
It is designed for numerical computing. Julia is a general-purpose programming language. It is also beneficial for low-level systems programming as a specification language, and web programming: both for server web use and web client programming, and innovative programming; data science and machine learning.
In conclusion, programming is the present and the future, and there are many things you can achieve with each of the programming languages listed ranging from; data science, web development to machine learning. It all depends on the career path you choose. However, it does not mean you have to learn all five programming languages to be productive. The goal here is to give a concise introduction that will guide you towards picking a programming language that fits what you intend to build.