Introduction to Python Scripting for DevOps
Master Python programming fundamentals for DevOps, covering console I/O, data types, control flow, and iteration with hands-on projects.
Master Python programming fundamentals for DevOps, covering console I/O, data types, control flow, and iteration with hands-on projects.
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 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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What you'll learn
Develop computer programs using Python for DevOps tasks
Master console input and output operations
Work with different data types and variable scope
Implement decision branching and control flow
Create efficient programs using iteration and loops
Skills you'll gain
This course includes:
1 Hours PreRecorded video
17 quizzes, 7 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This foundational course introduces the five main concepts in procedural programming through Python. Students learn console input/output, variable manipulation, decision branching, and iteration through hands-on coding exercises. The curriculum combines theoretical concepts with practical labs, preparing learners for programming roles by building fundamental Python scripting skills for DevOps environments.
Console Input and Output
Module 1 · 4 Hours to complete
Data Types
Module 2 · 5 Hours to complete
Decision Branching
Module 3 · 3 Hours to complete
Iteration
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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4 course rating
132 ratings
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