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04. Iterators and Generators

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01. Manually Consuming an Iterator.ipynb
01. Manually Consuming an Iterator.ipynb
 
 
02. Delegating Iteration.ipynb
02. Delegating Iteration.ipynb
 
 
03. Creating New Iteration Patterns with Generators.ipynb
03. Creating New Iteration Patterns with Generators.ipynb
 
 
04. Implementing the Iterator Protocol.ipynb
04. Implementing the Iterator Protocol.ipynb
 
 
05. Iterating in Reverse.ipynb
05. Iterating in Reverse.ipynb
 
 
06. Defining Generator Functions with Extra State.ipynb
06. Defining Generator Functions with Extra State.ipynb
 
 
07. Taking a Slice of an Iterator.ipynb
07. Taking a Slice of an Iterator.ipynb
 
 
08. Skipping the First Part of an Iterable.ipynb
08. Skipping the First Part of an Iterable.ipynb
 
 
09. Iterating Over All Possible Combinations or Permutations.ipynb
09. Iterating Over All Possible Combinations or Permutations.ipynb
 
 
10. Iterating Over the Index-Value Pairs of a Sequence.ipynb
10. Iterating Over the Index-Value Pairs of a Sequence.ipynb
 
 
11. Iterating Over Multiple Sequences Simultaneously.ipynb
11. Iterating Over Multiple Sequences Simultaneously.ipynb
 
 
12. Iterating on Items in Separate Containers.ipynb
12. Iterating on Items in Separate Containers.ipynb
 
 
13. Creating Data Processing Pipelines.ipynb
13. Creating Data Processing Pipelines.ipynb
 
 
14. Flattening a Nested Sequence.ipynb
14. Flattening a Nested Sequence.ipynb
 
 
15. Iterating in Sorted Order Over Merged Sorted Iterables.ipynb
15. Iterating in Sorted Order Over Merged Sorted Iterables.ipynb
 
 
16. Replacing Infinite while Loops with an Iterator.ipynb
16. Replacing Infinite while Loops with an Iterator.ipynb
 
 
README.md
README.md
 
 

README.md

CHAPTER 4. Iterators and Generators

Iteration is one of Python’s strongest features. At a high level, you might simply view iteration as a way to process items in a sequence. However, there is so much more that is possible, such as creating your own iterator objects, applying useful iteration patterns in the itertools module, making generator functions, and so forth. This chapter aims to address common problems involving iteration