By Mark Summerfield

Winner of the 2014 Jolt Award for "Best Book"

 

“Whether you're an skilled programmer or are beginning your occupation, Python in perform is filled with worthwhile suggestion and instance that will help you enhance your craft by means of wondering difficulties from assorted views, introducing instruments, and detailing options to create more advantageous solutions.”

Doug Hellmann, Senior Developer, DreamHost

 

If you’re an skilled Python programmer, Python in perform will assist you enhance the standard, reliability, pace, maintainability, and usefulness of your entire Python programs.

 

Mark Summerfield makes a speciality of 4 key topics: layout styles for coding beauty, swifter processing via concurrency and compiled Python (Cython), high-level networking, and images. He identifies well-proven layout styles which are invaluable in Python, illuminates them with expert-quality code, and explains why a few object-oriented layout styles are beside the point to Python. He additionally explodes a number of counterproductive myths approximately Python programming—showing, for instance, how Python can take complete benefit of multicore hardware.

 

All examples, together with 3 entire case experiences, were demonstrated with Python 3.3 (and, the place attainable, Python 3.2 and 3.1) and crafted to take care of compatibility with destiny Python 3.x types. All code has been validated on Linux, and so much code has additionally been proven on OS X and home windows. All code might be downloaded at www.qtrac.eu/pipbook.html.

 

Coverage comprises

  • Leveraging Python’s preferable creational, structural, and behavioral layout styles
  • Supporting concurrency with Python’s multiprocessing, threading, and concurrent.futures modules
  • Avoiding concurrency difficulties utilizing thread-safe queues and futures instead of fragile locks
  • Simplifying networking with high-level modules, together with xmlrpclib and RPyC
  • Accelerating Python code with Cython, C-based Python modules, profiling, and different thoughts
  • Creating modern-looking GUI functions with Tkinter
  • Leveraging today’s robust pics through the OpenGL API utilizing pyglet and PyOpenGL

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