This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
About this Course
Learner Career Outcomes
Learner Career Outcomes
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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TOP REVIEWS FROM PYTHON DATA STRUCTURES
assignment 9.4 auto grader not working . LTI unable to launch.\n\nerror message: This tool should be launched from a learning system using LTI.\n\ni am using chrome on mac book air 2 and python 3.6
Excellent explanation. Professor Charles kept the course from being monotonous. Learnt in depth about reading from file, sorting dictionaries and appending lists. Looking forward to learn more courses
I really liked the course. I just wish it was more practice heavy and the lectures were broken up more and there were quizzes during the lectures to keep you engaged more and make it more interactive.
i have learned what exact python is now on this stage i can program in python and i recommend everyone want to study about the python to take this course and experienced and really thanks to Dr. CHUCK
About the Python for Everybody Specialization
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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