This article was updated on June 14, 2024.
Reviewed by听Kathryn Uhles, MIS, MSP,听Dean, College of Business and IT
Computer programming听relies on different programming languages. There are dozens, but all have the same goal: to provide a听framework in which a program can operate.
While the goal is the same, the primary features differ among programming languages. Some are better for听organizing and visualizing data, while others are preferable for听creating user interfaces. Although some coding systems are easier to learn than others, none are inherently better or worse.
There are听professional programmers, software developers and other IT pros who听learn multiple programming languages, although the ones they learn depend on what they do at their jobs and their level of expertise. If you plan on a career in a computer or IT field, you鈥檒l want to learn the ones that are most useful for the听specialization you plan to pursue.
Many programming languages are meant for specific applications, so the choice may be obvious. However, the distinction between听front-end and back-end languages听is the most useful for computer science students.
Some professionals choose to learn both front-end听and听back-end programming languages. These multidisciplinary specialists are known as听full-stack developers. They can handle both user and client-facing programming tasks and may enjoy employment options that reflect this versatility.
At this point, you鈥檙e probably asking yourself, 鈥淲hat programming language should I learn?鈥 The answer will depend on your career interests and goals. This article will help guide you toward the languages that will be most useful to you if you have an idea about what career you are interested in.
When asking yourself, 鈥淲hat programming language should I learn as a beginner?鈥 you might start with the easiest and the most common ones.
Note that it is common to use the term 鈥減rogramming鈥 for both scripting and programming languages. In this article, the term 鈥減rogramming language鈥 refers to both.
That said, here are a few of the most common programming languages to start with:
1.听听听听 JavaScript: JavaScript is a popular front-end programming language that鈥檚 typically considered a general-purpose coding system. It allows developers to add dynamic and听interactive elements听to websites.
2.听听听听 HTML/CSS: HyperText Markup Language (HTML) and Cascading Style Sheets (CSS) are two related coding systems that control the听user-facing听(front-end) aspects of websites. HTML provides a general framework for web development, while CSS handles formatting and layout.听
3.听听听听 听C, C# and C++: For many computer science and IT students, back-end coding education starts with C. It is a听because of its听simplicity and flexibility.
4.听听听听 PHP: This language was used to create , making it a popular choice for web developers.
If you鈥檙e wondering what programming language you should learn first, you may want to consider starting with one of those just mentioned.
Knowing which programming languages are most popular for different purposes can help you determine which ones to add to your skill set. Here are some of the , although it鈥檚 worth noting these can change as technology and the industry evolve:
1.听听听听 Python: Since it works on different systems and browsers, Python is the language of choice for many development projects. In addition to being the most popular language for software development, Python has special applications in finance and machine learning.
2.听听听听 Java: Different from JavaScript, Java is a server-side language. According to the Popularity of Programming Language (PYPL) Index, 听(after Python) because of its platform independence.
3.听听听听 Go: Golang (Go for short) is growing in popularity, especially among web developers. 听that鈥檚听easy to learn.
4.听听听听 SQL: Structured Query Language听 focuses on managing information housed in databases. Those who work with data may find it necessary to know this language.听
5.听听听听 R: R is an important language for data analytics. It鈥檚 necessary for anyone studying for a data science degree. It focuses on听statistical calculations听and听visualization.听
Different computer science applications and functions require knowledge of various programming languages. If you know which area you want to focus on, whether it鈥檚 software development or cybersecurity, the following are some of the most important languages to know.听
Knowing how to code is essential for many tasks in this area of computer science, including penetration testing, forensic analysis, response and containment, and cybersecurity software development. Top languages to know include:
What programming language should you learn for app development? These are some of the most commonly used:
Are you interested in developing websites and web apps? You鈥檒l want to learn one or more of the following.
Some languages are useful for both front- and back-end development, which streamlines and simplifies the entire process. These include:
While it鈥檚 not necessary to learn all of these, the more languages you know, the more your computer science skills will be enhanced, and the more flexibility you will have in your career.
We spoke with J.L. Graff, MBA, associate dean of UOPX鈥檚 College of Business and Information Technology, to get a better idea about how often one might learn a programming language over the course of their career: 鈥淟earning a new programming language can take a couple of months or about a year depending on your experience and the complexity of the programming language. It is recommended to learn at least three programming languages, but the projects you work on will determine what programming languages you will need to learn and when.鈥
What programming language should you learn? As you can see, there鈥檚 no one definitive answer. You鈥檒l need to think about what you enjoy working on and which careers in computer science sound most attractive to you. Answering those questions can help you decide which languages you should spend your time and energy on learning.
Exploring online technology degree programs can also help guide you. Programs in data science, software development and cybersecurity may emphasize different programming languages.
Remember that technology environments and expectations change frequently, and new programming languages are continually being developed. A career in computer science requires a commitment to lifelong learning. Fortunately, there are plenty of resources to help you learn new programming languages and expand your abilities 鈥 and your professional options.
If you are interested in a career in information technology, you can pursue an educational foundation at 澳门天天彩开奖记录.
Aspiring application developers, for example, may pursue a Bachelor of Science in Computer Science, while a Bachelor of Science in Cybersecurity will cover scripting languages from a different perspective.
Additional degree programs that include programming languages are Bachelor of Science in Data Science and Bachelor of Science in Information Technology.
Meanwhile,听advanced developer certificates听often deal with topics like choosing the correct coding languages and framework for a given project. If these concepts excite you, consider earning a听Scripted and Compiled Programming Languages Certificate (Undergraduate)听at UOPX.
A graduate of Johns Hopkins University and its Writing Seminars program and winner of the Stephen A. Dixon Literary Prize, Michael Feder brings an eye for detail and a passion for research to every article he writes. His academic and professional background includes experience in marketing, content development, script writing and SEO. Today, he works as a multimedia specialist at 澳门天天彩开奖记录 where he covers a variety of topics ranging from healthcare to IT.
Currently Dean of the College of Business and Information Technology,听Kathryn Uhles has served 澳门天天彩开奖记录 in a variety of roles since 2006. Prior to joining 澳门天天彩开奖记录, Kathryn taught fifth grade to underprivileged youth in Phoenix.
This article has been vetted by 澳门天天彩开奖记录's editorial advisory committee.听
Read more about our editorial process.
Read more articles like this:听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听 听听