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PyPy itself is built using a technique known as meta-tracing, which is a mostly automatic transformation that takes an interpreter as input and produces a tracing just-in-time compiler as output. Since interpreters are usually easier to write than compilers , but run slower, this technique can make it easier to produce efficient implementations ...
Although this program transforms a .py file to an .exe, it does not make it run faster because py2exe bundles the Python bytecode without converting it to machine-code. It may even run slower than using the Python interpreter directly because of startup overhead.
doctest is a module included in the Python programming language's standard library that allows the easy generation of tests based on output from the standard Python interpreter shell, cut and pasted into docstrings.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})
In traditional compilation, the executable output of the linkers (.exe files or .dll files or a library, see picture) is typically relocatable when run under a general operating system, much like the object code modules are but with the difference that this relocation is done dynamically at run time, i.e. when the program is loaded for execution.
Macro languages transform one source code file into another. A "macro" is essentially a short piece of text that expands into a longer one (not to be confused with hygienic macros), possibly with parameter substitution. They are often used to preprocess source code. Preprocessors can also supply facilities like file inclusion.
This python program: $ mpirun -np 3 pyMPI > import mpi > print "Hi, I'm process #%d" % mpi.rank will print this output: Hi, I'm process #0 Hi, I'm process #1 Hi, I'm process #2 The -np parameter given to mpirun tells mpi to use 3 processes, and each process in its turn prints its output on the screen.