It’s pretty clear that Python performs poorly in terms of time and memory. Now you might argue that this study is from 2017, and a lot has changed since then, you’re right.

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...

Python stores the data in its appropriate data representation and memory space. However, packages such as NumPy are implemented in systems programming languages such as C, Rust or Fortran. These ...

That said, it pays to learn how Python manages memory internally. Python trades efficiency for ease of use, sometimes in ways that are not always obvious.

There are plenty of memory profilers for Python and plenty for C and C++, but up to this point, there hasn’t been a memory profiler that can work with both Python and C/C++ simultaneously, says ...

While processor speeds and memory storage capacities have surged in recent decades, overall computer performance remains constrained by data transfers, where the CPU must retrieve and process data ...