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Python provides a number of advanced constructs that can make the language more expressive, and in many cases more efficient. Python expresses “laziness” via iterators, sometimes defined by generator functions, which are a way of describing delayed computation and infinite data streams. Context managers are a means of surrounding blocks of code with reusable setup and teardown. Decorators allow you to express cross-cutting concerns for functions or classes that are given a general aspect, again with an emphasis on reusability.
Duration
6 hours
Difficulty
professional
INE's world-class IT trainingInstructor for this course
David Mertz
Ph.D. Philosophy
This course is composed by the following modules
INE's world-class IT training
Module 1
Introduction1 video
Introduction
Module 2
Iterators and Generators3 videos, 3 exercise
The Iterator Protocol
Iterable or Iterator?
Class Based Iterators
Iterable tree analysis
Yielding
Walk tree
Module 3
Itertools2 exercise, 4 videos
Basic Itertools - Part 1
Basic Itertools - Part 2
Merging words
Advanced Itertools - Part 1
Advanced Itertools - Part 2
Prime factors and factorizations
Module 4
Context Managers1 exercise, 2 videos
Using Context Managers
Custom Context Manager
Using Contextlib
Module 5
Decorators1 exercise, 1 lab, 2 videos
Writing Decorators
Parameterized Decorators
Orbits parametrized decorator
Combining protocols
Module 6
Conclusion1 video
Conclusion
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