The GIL is controversial because it prevents multithreaded CPython programs from taking full advantage of multiprocessor systems in certain situations. Note that potentially blocking or long-running operations, such as I/O, image processing, and NumPy number crunching, happen outside the GIL. Therefore it is only in multithreaded programs that spend …

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1. Call the package outside it

2. Add .. into sys.path.

   :::python import sys sys.path.append("..")

References

beyond top level package error in relative import

How to do relative imports in Python …

1. Boolean expressions are evaluated from left to right (the same in Java), so it is totally OK to write code like

   if(a < x.size() && x[a]){
       ...
   }
   

   where x is a vector.

2. There is no &&= and ||= operators in C++, instead you can use &= and |=. Though &= and |= are not specially for …

1. Not all jobs are suitable for parallel computing. The more comminication that threads has to make, the more dependent the jobs are and the less efficient the parallel computing is.

2. Generally speaking, commercial softwares (Mathematica, MATLAB and Revolution R, etc.) have very good support on parallel computing.

Python

Please refer …