Python Scripting: Dates, Classes and Collections
Master Python programming fundamentals including date handling, object-oriented programming, and data structures
Master Python programming fundamentals including date handling, object-oriented programming, and data structures
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 Scripting for DevOps 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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What you'll learn
Implement date, time, and string operations in Python
Design classes using UML modeling principles
Develop object-oriented programming solutions
Work with Python collections and data structures
Create modular and maintainable code
Skills you'll gain
This course includes:
4 Hours PreRecorded video
16 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course covers key Python programming concepts including date and time operations, string manipulation, and object-oriented programming. Students learn to design and implement classes using UML modeling, work with various collection types, and develop practical programming solutions using modern Python features.
Dates and Advanced Strings
Module 1 · 4 Hours to complete
Modeling Classes
Module 2 · 2 Hours to complete
Developing Classes
Module 3 · 3 Hours to complete
Collections
Module 4 · 4 Hours to complete
Fee Structure
Instructor
Program Director and Professor of Practice at Simmons University
Aspen Olmsted is a faculty member in the Computer Science department at Simmons University, where he serves as the Program Director. He holds a Ph.D. in Computer Science and Engineering from The University of South Carolina. Prior to his academic career, Aspen was the CEO of Alliance Software Corporation, which developed N-Tier enterprise applications for the performing arts and humanities market. His research focuses on developing algorithms and architectures for distributed enterprise solutions that ensure security and correctness while maintaining high availability. In his Secure Data Engineering Lab, Aspen mentors over a dozen graduate and undergraduate students each year.
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