[New Concept Exercise] : generator-expressions

[BethanyG]

This issue describes how to implement the generator-expressions concept exercise for the Python track.

Getting started

Please please please read the docs before starting. Posting PRs without reading these docs will be a lot more frustrating for you during the review cycle, and exhaust Exercism's maintainers' time. So, before diving into the implementation, please read up on the following documents:

• Contributing to Exercism | Exercism and GitHub | Contributor Pull Request Guide
• What are those Weird Task Tags about?
• Building Language Tracks: An Overview
• What are Concepts?
• Concept Exercise Specifications
• Concept Specifications
• Exercism Formatting and Style Guide
• Exercism Markdown Specification
• Reputation

Goal

The goal of this exercise is to teach the syntax and variants of generator expressions in Python.

Learning objectives

• Understand how a generator expression relates to both a list comprehension and a generator
• Understand where generator expressions can and cannot be utilized
• Create a generator expression
• Use a generator expression as an argument to a function such as ''.join() or sum()
• Use a generator expression as an element of a comprehension

Out of scope

• Memory and performance characteristics and optimizations
• Generator methods such as throw() and close()
• Using the assignment expression (walrus operator) with a generator expression

Concepts

• generator expressions

Prerequisites

• basics
• conditionals
• comparisons
• loops
• generators
• iterators
• iteration
• list-comprehensions
• other-comprehensions

Resources to refer to

• Generator expressions and list comprehensions (Python official docs)
• Generators (Python official docs)
• List Comprehensions (Python official docs)
• Generator Expressions in Python (Dan Bader)

Hints

• Generator Expressions section of the Python docs tutorial: Generator expressions and list comprehensions (Python official docs)
• Generator Expressions in Python (Dan Bader)

After

• Additional Generator-iterator methods, such as generator.send() and generator.throw()
• generator expressions
• Asynchronous generator functions
• generators used as coroutines

Representer

No changes required.

Analyzer

No changes rquired.

Implementing

• Tests should be written using unittest.TestCase, and the test file named list_comprehensions_test.py.
• How to Implement a Concept Exercise in Python
• make-concept-exercise Utility

Help

If you have any questions while implementing the exercise, please post the questions as comments in this issue.

[github-actions]

This issue has been automatically marked as abandoned because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.