coding-mentor-agent/kb/python-course-kb-practical-python/wiki/exercises/6-12-putting-it-all-together.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-6.12	6.12	Putting it all together	6.3 Producers, Consumers and Pipelines	06_Generators/03_Producers_consumers.md	https://github.com/dabeaz-course/practical-python	93dca856b41c61a0a0f85ae334116e4c125629ea	false	true	false

Exercise 6.12: Putting it all together

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

Exercise 6.12: Putting it all together

In the ticker.py program, write a function ticker(portfile, logfile, fmt) that creates a real-time stock ticker from a given portfolio, logfile, and table format. For example::

>>> from ticker import ticker
>>> ticker('Data/portfolio.csv', 'Data/stocklog.csv', 'txt')
      Name      Price     Change
---------- ---------- ----------
        GE      37.14      -0.18
      MSFT      29.96      -0.09
       CAT      78.03      -0.49
        AA      39.34      -0.32
...

>>> ticker('Data/portfolio.csv', 'Data/stocklog.csv', 'csv')
Name,Price,Change
IBM,102.79,-0.28
CAT,78.04,-0.48
AA,39.35,-0.31
CAT,78.05,-0.47
...

Discussion

Some lessons learned: You can create various generator functions and chain them together to perform processing involving data-flow pipelines. In addition, you can create functions that package a series of pipeline stages into a single function call (for example, the parse_stock_data() function).

Contents | Previous (6.2 Customizing Iteration) | Next (6.4 Generator Expressions)

关联来源

• summaries/03_Producers_consumers