Python Generators - Talk at PySthlm meetup #15
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The document discusses best practices for using Python generators, emphasizing the benefits of using generator functions to avoid temporary data structures and improve memory efficiency. It provides an example of generator function syntax and suggests chaining generators for more streamlined coding. Additional resources and contact information for the speaker are also included.
Python Generators - Talk at PySthlm meetup #15
- 1. Python Generators PySthlm Meetup #15 – Python Best Practices – Oct 31, 2013 Samuel Lampa twitter.com/smllmp
- 2. The “normal” (bad) way
- 3. The “normal” (bad) way New temporary data structures created and kept in memory == BAD!!!
- 5. Using Generator function A yield (“return”) for every iteration, so it can be used immediately without temp data structure == GOOD!
- 6. Using Generator function A yield (“return”) for every iteration, so it can be used immediately without temp data structure == GOOD! So, this is the generator function
- 7. Using Generator function A yield (“return”) for every iteration, so it can be used immediately without temp data structure == GOOD! So, this is the generator function … which can be iterated over, like this ...
- 10. Using list-comprehension syntax Here, the generator function Is defined in one row
- 13. Creds and more info: ● David Beazleys Python Generator intro: →dabeaz.com/generators David Beazley on twitter: @dabeaz
- 14. Thank you! Samuel Lampa G+: gplus.to/saml twitter: @smllmp Blog: saml.rilspace.org Developer @ www.uppmax.uu.se www.farmbio.uu.se www.rilpartner.se