After analyzing benchmarks and performance tests of both languages, it is clear that Python is generally regarded as slower than C++. This is due to several reasons:

Python is an interpreted language, which means that each line of code is translated into machine code at runtime. This makes Python slower than compiled languages like C++, where the code is compiled ahead of time.

Python uses dynamic typing, which means that the type of a variable is determined at runtime. This requires more processing time than in C++, where types are declared at compile time.

Python has a larger memory footprint than C++, due to its dynamic nature and the overhead of the interpreter.

Python's Global Interpreter Lock (GIL) can also impact performance, as it limits the ability of multiple threads to execute in parallel.

However, it is worth noting that Python has many advantages over C++, such as its ease of use and readability. Additionally, Python has a wide range of libraries and frameworks that can help to mitigate some of its performance drawbacks.
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