coding-mentor-agent/kb/python-course-kb-practical-python/wiki/exercises/6-8-setting-up-a-simple-pipeline.md

id, source_exercise_id, title, section, source_path, source_repo, source_commit, student_visible_solution, has_private_solution, skip

id	source_exercise_id	title	section	source_path	source_repo	source_commit	student_visible_solution	has_private_solution	skip
practical-python-6.8	6.8	Setting up a simple pipeline	6.3 Producers, Consumers and Pipelines	06_Generators/03_Producers_consumers.md	https://github.com/dabeaz-course/practical-python	93dca856b41c61a0a0f85ae334116e4c125629ea	false	false	false

Exercise 6.8: Setting up a simple pipeline

Source: Practical Python Programming, 06_Generators/03_Producers_consumers.md.

Exercise 6.8: Setting up a simple pipeline

Let's see the pipelining idea in action. Write the following function:

>>> def filematch(lines, substr):
        for line in lines:
            if substr in line:
                yield line

>>>

This function is almost exactly the same as the first generator example in the previous exercise except that it's no longer opening a file--it merely operates on a sequence of lines given to it as an argument. Now, try this:

>>> from follow import follow
>>> lines = follow('Data/stocklog.csv')
>>> ibm = filematch(lines, 'IBM')
>>> for line in ibm:
        print(line)

... wait for output ...

It might take awhile for output to appear, but eventually you should see some lines containing data for IBM.

关联来源

• summaries/03_Producers_consumers