Python's generators

Publié le: 15 septembre 2017
sur la chaîne: Edik Mkoyan

111

http://www.dabeaz.com/finalgenerator/
A Python generator is a function which returns a generator iterator (just an object we can iterate over) by calling yield. yield may be called with a value, in which case that value is treated as the "generated" value. The next time next() is called on the generator iterator (i.e. in the next step in a for loop, for example),Rthe generator resumes execution from where it called yield, not from the beginning of the function. All of the state, like the values of local variables, is recovered and the generator contiues to execute until the next call to yield.

If this doesn't make any sense to you, don't worry. I wanted to get the textbook definition out of the way so I can explain to you what all that nonsense actually means.

Note: In recent years, generators have grown more powerful as features have been added through PEPs. In my next post, I'll explore the true power of yield with respect to coroutines, cooperative multitasking and asynchronous I/O (especially their use in the "tulip" prototype implementation GvR has been working on). Before we get there, however, we need a solid understanding of how the yield keyword and generators work.

Sur cette page du site, vous pouvez voir la vidéo en ligne Python's generators durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur Edik Mkoyan 15 septembre 2017, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 111 fois et il a aimé 1 téléspectateurs. Bon visionnage!

40,576

118