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.
À propos de ce cours
Université du 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 %
- 1 star0,19 %
Meilleurs avis pour 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.
Great Course! Highly recommend this course. Runestone environment helped me so much in understanding the concepts and putting them to practice at the same time. Codelens is awesome.
Michigan University this course was very beneficial for me as an Electrical Engineering student .My coding skills was very bad but this course help me a lot and uplifted my coding skills.
The course content and the instructions was awesome and the step by step approach of guidance in the project helped me a lot in the fact that I have learned how to approach any problems statements.
À propos du Spécialisation 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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