Which programming languages are primarily supported by PSE Cortex?

Which programming languages are primarily supported by PSE Cortex?

• A. C++, Ruby, and Go
• B. Python, Java, and R
• C. JavaScript, PHP, and Swift
• D. Perl, Scala, and SQL

Answer: (B)

The correct option highlights that PSE Cortex primarily supports Python, Java, and R. These programming languages are widely used in data science, machine learning, and statistical analysis, making them highly relevant for the functionalities offered by PSE Cortex. Python is particularly significant due to its extensive libraries and frameworks for data analysis and machine learning, such as NumPy, pandas, and TensorFlow. Java, known for its portability and performance, is often utilized for building large-scale applications and can effectively integrate with various data processing tools. R specifically caters to statisticians and data miners, offering a rich ecosystem for statistical computing and data visualization. The other options include languages that, while they have their own merits, do not align as closely with the core features and target applications of PSE Cortex. For instance, while C++, Ruby, Go, JavaScript, PHP, Swift, Perl, Scala, and SQL are all valuable in various programming contexts, they do not encompass the primary focus on data-centric tasks that Python, Java, and R represent in the context of PSE Cortex’s capabilities.

The correct option highlights that PSE Cortex primarily supports Python, Java, and R. These programming languages are widely used in data science, machine learning, and statistical analysis, making them highly relevant for the functionalities offered by PSE Cortex.

Python is particularly significant due to its extensive libraries and frameworks for data analysis and machine learning, such as NumPy, pandas, and TensorFlow. Java, known for its portability and performance, is often utilized for building large-scale applications and can effectively integrate with various data processing tools. R specifically caters to statisticians and data miners, offering a rich ecosystem for statistical computing and data visualization.

The other options include languages that, while they have their own merits, do not align as closely with the core features and target applications of PSE Cortex. For instance, while C++, Ruby, Go, JavaScript, PHP, Swift, Perl, Scala, and SQL are all valuable in various programming contexts, they do not encompass the primary focus on data-centric tasks that Python, Java, and R represent in the context of PSE Cortex’s capabilities.