This content originally appeared on DEV Community and was authored by images.cv
Data Science is a growing field that has made it possible to extract meaningful information from data. Data scientists need programming languages in order to have the necessary tools for their job. In this blog post, we will talk about the best programming languages for data science and why they are so important!
Programming languages used for data science:
R Language
R Language - a language and environment for statistical computing. It is widely applied in research, academia, industry and business. R programming has been around since 1993 but really got popular after 2005 when it was adopted by Kaggle which hosts machine learning competitions. Many of the top 1000 places on Kaggle are occupied by R users.
Python
Python - is a general-purpose high-level programming language with dynamic semantics and has been around since 1991. Python was designed to be highly readable which makes it an appropriate tool for data science due to the readability of code that can be used in machine learning algorithms or statistical procedures such as linear and non-linear regressions.
C++
C++ - the C programming language was created in 1972 and over time it evolved into a superset known as C++; however, its syntax remains similar due to staying dedicated for systems level processing which makes it popular with those who work on operating system kernels (the central component) such as Linux. C++ has a focus on performance and is used in applications which need to process large amounts of data or require the execution of computationally intensive tasks such as machine learning algorithms.
Java
Java - was created by Sun Microsystems, Inc (now Oracle Corporation) in 1991 and it runs on an environment known as Java Virtual Machine (JVM). Java is a versatile language that can be used for developing applications across various platforms. Java has become popular with data scientists due to the advent of big data and its ability to handle large datasets. Additionally, there are many libraries available in Java for data science tasks such as machine learning or scientific computing.
Wolfram Language
Wolfram Language - was created by Stephen Wolfram and is a highly technical language that has been gaining traction in the academic community. It was first used to power Mathematica which can be considered as an environment for computation, visualization, etc. The Wolfram Language is being adopted by some data scientists due to its ability to execute symbolic computations very fast along with having high-performance libraries for data science tasks.
Which programming languages are used for data science?
R, Python, SQL, C++, Java, and Wolfram Language. Each of these languages has unique benefits that make them popular among data scientists. For example, R is widely adopted due to its ability to be easily understood by those who are not experts in the field and Python is popular due to its readability and a large number of libraries. C++ has become very common in the field since it was designed for systems-level processing which makes it a great fit for those working on operating system kernels such as Linux, Java became extremely **popular with data scientists after big data came into existence along with having many useful libraries available for data science tasks and **Wolfram Language is being adopted by some due to its symbolic computation abilities and high-performance libraries. Each of these languages has something unique to offer making them a great choice for those working in the field of data science.
Data science is a high-demand field and knowing which programming languages data scientists should know can make or break their careers. If you want to be a successful data scientist, it’s important that you have the right skillset. We recommend learning Python for beginners as well as Java for more advanced work with computer code. These two languages are used by over half of all Fortune 500 companies so they're worth getting acquainted with!
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This content originally appeared on DEV Community and was authored by images.cv
images.cv | Sciencx (2021-12-13T20:20:31+00:00) Data Science: The Best Programming Languages for Data Scientists. Retrieved from https://www.scien.cx/2021/12/13/data-science-the-best-programming-languages-for-data-scientists/
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