Data scientists use these languages to manipulate, analyze, and extract information from data across various domains, including machine learning, natural language processing, and more.
1. Python:
Python remains the most popular programming language for data science, offering versatility in the industry and other domains like web development and video game development.
2. R:
R, though not as trendy as Python, is a top choice for data scientists, especially for data manipulation, processing, and visualization.
3. SQL:
SQL is essential for working with databases and is a must-know for data scientists as they frequently interact with relational databases.
4. Java:
Java, an open-source, object-oriented language, is popular for various technologies and software applications.
5. Julia:
Despite its recent release, Julia is becoming a rising star in numerical computing, offering effective data analysis tools.
6. Scala:
Scala is emerging as a language for machine learning and big data tasks, providing an alternative to Java.
7. C/C++:
C and C++ are well-suited for computationally intensive data science tasks and play a role in core components of machine learning libraries.
8. JavaScript:
JavaScript’s versatility extends beyond web development, making it a notable language for machine learning and visualization in data science.
9. Swift:
Swift, developed by Apple, is aimed at mobile app development and is increasingly relevant for mobile and machine learning integration.
10. Go:
GoLang’s popularity is growing for machine learning projects due to its flexible and understandable language.
11. MATLAB:
MATLAB is a powerful language for numerical computing but comes with a cost for licensing, making it less attractive.
Also Read: 2023’s Top 5 Programming Languages for Game Development
12. SAS:
SAS is a well-established software environment for business intelligence but is losing popularity due to licensing barriers.
Selecting a programming language for data science depends on learning history and work requirements. Python, R, SQL, and other languages offer a range of tools and capabilities for data scientists.
Read More: Top programming languages for data scientists in 2023
