This course introduces the dictionary data structure and user-defined functions. You’ll learn about local and global variables, optional and keyword parameter-passing, named functions and lambda expressions. You’ll also learn about Python’s sorted function and how to control the order in which it sorts by passing in another function as an input. For your final project, you’ll read in simulated social media data from a file, compute sentiment scores, and write out .csv files. It covers chapters 10-16 of the textbook “Fundamentals of Python Programming,” which is the accompanying text (optional and free) for this course.
Über diesen Kurs
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
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- 4 stars11,55 %
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- 2 stars0,14 %
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Top-Bewertungen von PYTHON FUNCTIONS, FILES, AND DICTIONARIES
This course (and the specialization as well) is a bit more challenging than 'Python for Everybody'. I enjoyed a lot. Runestone is an amazing feature that really helped navigate through the course.
It's amazing learn for beginner .A wonderful learning resource and very simple way explains everything . Excellent lessons ,check your understanding ,e-book ,practice, and quiz work and lot of thing
Very nice course, it could be a little bit challenging if you have no programming experience, but if you have done the past course and you put your attention you will definitely be able to pass it.
It is a very organized course. The only problem is the limitation of the inbuilt python interface. I have been using Jupyter notebook.. New students may not be aware of that option.
Über den Spezialisierung Python 3 Programming
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
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