Why is the Python programming language increasingly integral to data science?
- the availability of many libraries to perform data related tasks
- the ease of compiling and building executable data applications
- by default it contains all the code elements to perform complex data analysis
- it was developed in the 21st century for 21st century data requirements
Explanation: Python is an interpreted, not compiled, and easy to learn programming language developed in 1991. Python uses code libraries to provide data analysis functions.
Related exam: Module 10.3.2 Quiz - Take the Next Steps
