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.
Informações sobre o curso
Universidade de 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.
- 5 stars86,90%
- 4 stars11,55%
- 3 stars1,16%
- 2 stars0,14%
- 1 star0,22%
Principais avaliações do PYTHON FUNCTIONS, FILES, AND DICTIONARIES
no doubt this is the best course n Coursera , but you have to raise the difficulty level of the assessments so that we can execute the project even more faster without cracking our heads.
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.
Concept clarity provided by the amazing faculty is very good. The only areas of improvement would be in increasing the no of questions and also raising the difficulty of assessments.
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.
Sobre Programa de cursos integrados 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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