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 …

GitHub has built-in support for Jupyter Notebooks. Bitbucket supports Jupyter Notebooks via a fileview addon. It works on both publick and private notebooks. Follow the steps below to install the addon.

1. Click on your avatar in the lower left corner on your homepage of Bitbucket.

   

2. Select the option App marketplace …

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 …