Programming in D for Python Programmers

This section is under development, but in the meantime these links present some independent perspectives on D from the perspective of a python programmer:

• D is like Native Python

Python's generators and list comprehensions have been thought to be two of the most difficult concepts to replicate in other languages. For the D solution to the problem solved by Python generators, see D Ranges and lazy evaluation. For list comprehensions, see UFCS.

• Walter Bright on UFCS

• Theoretical article on ranges as a development of the iterator concept by the C++ guru, Dr Andrei Alexandrescu
• Introduction to Ranges by Ali Çehreli - Part I
• Introduction to Ranges by Ali Çehreli - Part II
• Introduction to D slices

• std.range structures and functions in the Phobos standard library
• std.algorithm generic functions in Phobos
• std.array

Parallel programming has become increasingly in focus as we approach the beginning of the end of the free lunch from Moore's Law. D makes multiprocessing and threading as simple as possible, but not simpler:

• Free chapter from Dr Andrei Alexandrescu's book on parallelism in D
• Ali Cehreli on parallelism
• Ali Cehreli on message-passing concurrency
• Ali Cehreli on data-sharing concurrency