However, Interpreted languages Also have Some risks
- Performance Overhead: Interpretation can introduce a overall performance overhead compared to compiled languages, as the interpreter must parse, translate, and execute each line of code at runtime. This overhead can result in slower execution speeds for sure sorts of packages.
- Lack of Optimization: Interpreted languages may additionally lack a number of the optimization opportunities to be had to compiled languages, inclusive of static analysis and code optimization. This can bring about suboptimal overall performance for overall performance-important applications.
Why Python is Called Interpreted Language
Python is frequently categorized as an interpreted language, but What does that suggest exactly? To apprehend why Python is called an interpreted language, it’s essential to discover the concepts of interpretation and compilation, in addition to the execution model of Python code.
Python is called an interpreted language because it executes code logic directly, line by line, without the need for a separate compilation step. In methods to compiled languages like C or C++, where the source code is translated into machine code before execution, Python code is translated into intermediate code by the Python interpreter.
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