Python Functions, Files, and Dictionaries
Learn advanced Python concepts including functions, file handling, dictionaries, and data structures for effective programming.
Learn advanced Python concepts including functions, file handling, dictionaries, and data structures for effective programming.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Python 3 Programming Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
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What you'll learn
Master dictionary data structures and operations
Create and implement user-defined functions
Work with files and CSV data processing
Understand variable scoping and parameter passing
Implement sorting algorithms and lambda expressions
Develop practical data analysis applications
Skills you'll gain
This course includes:
7.8 Hours PreRecorded video
8 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course builds upon Python basics to cover advanced programming concepts. Students learn to work with dictionaries, create user-defined functions, handle file operations, and process CSV data. The curriculum includes practical applications such as social media data analysis and advanced sorting techniques. Through hands-on programming assignments and projects, participants develop skills in data structure manipulation, function creation, and file processing.
Welcome, Files and CSV Output
Module 1 · 8 Hours to complete
Dictionaries and Dictionary Accumulation
Module 2 · 5 Hours to complete
Functions and Tuples
Module 3 · 10 Hours to complete
More Iteration and Advanced Functions
Module 4 · 9 Hours to complete
Sorting
Module 5 · 7 Hours to complete
Fee Structure
Instructors
Michael D. Cohen Collegiate Professor of Information, and Director of the Center for Social Media Responsibility at UMSI.
Paul Resnick is the Michael D. Cohen Collegiate Professor of Information and Associate Dean for Research and Innovation at the University of Michigan's School of Information. He is recognized as a pioneer in the fields of recommender systems and reputation systems, significantly contributing to the development of the GroupLens system, which received the 2010 ACM Software Systems Award. Resnick co-authored the book "Building Successful Online Communities: Evidence-Based Social Design." He holds a bachelor's degree in mathematics from the University of Michigan and a doctorate in computer science from the Massachusetts Institute of Technology. Additionally, he served as a part-time consultant for Facebook from May 2018 to May 2020.
Innovator in Programming Tools and Usability
Steve Oney is an Assistant Professor at the University of Michigan School of Information, where his research focuses on creating tools that empower more individuals to write and customize computer programs. By addressing usability issues in programming environments, Oney aims to make programming more accessible. He completed his Ph.D. at Carnegie Mellon University's Human-Computer Interaction Institute, where he was advised by Brad Myers and Joel Brandt. Oney also holds undergraduate and master's degrees from MIT. His teaching includes courses on Python programming, including topics such as basics, classes and inheritance, and functions, files, and dictionaries.
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4.8 course rating
5,292 ratings
Frequently asked questions
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