By Zed A. Shaw
This can be a very newbie e-book for those that are looking to learn how to code. in case you can already code then the e-book will most likely force you insane. It's meant for those who haven't any coding chops to accumulate their talents sooner than beginning a extra precise booklet. The second version beneficial properties five new routines, fixes and updates to almost each workout, and 3 of the hot workouts educate you to create an easy net software because the ultimate a part of the e-book.
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Additional info for Learn Python the Hard Way (2nd Edition)
15 CHAPTER 2 Profiling to Find Bottlenecks Questions You’ll Be Able to Answer After This Chapter • How can I identify speed and RAM bottlenecks in my code? • How do I profile CPU and memory usage? • What depth of profiling should I use? • How can I profile a long-running application? • What’s happening under the hood with CPython? • How do I keep my code correct while tuning performance? Profiling lets us find bottlenecks so we can do the least amount of work to get the biggest practical performance gain.
Example 2-8. py ... 0 return output As expected, we can see from the output in Example 2-9 that calculate_z_seri al_purepython takes most (97%) of the time of its parent function. The list-creation steps are minor in comparison. Example 2-9. 218 s Line # Hits Per Hit % Time Line Contents ================================================== 24 @profile 25 def calc_pure_python(draw_output, desired_width, max_iterations): ... func_name + " took", secs, "seconds" 58 # this sum is expected for 1000^2 grid...
Some‐ times the additional information can lead to surprising insights into your code. cProfile is one of three profilers in the standard library; the others are hotshot and profile. hotshot is experimental code, and profile is the original pure-Python pro‐ filer. cProfile has the same interface as profile, is supported, and is the default profil‐ ing tool. If you’re curious about the history of these libraries, see Armin Rigo’s 2005 request to include cProfile in the standard library. A good practice when profiling is to generate a hypothesis about the speed of parts of your code before you profile it.