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Technical Program Manager's Handbook

You're reading from   Technical Program Manager's Handbook Unlock your TPM potential by leading technical projects successfully and elevating your career path

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781836200475
Length 368 pages
Edition 2nd Edition
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Author (1):
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Joshua Alan Teter Joshua Alan Teter
Author Profile Icon Joshua Alan Teter
Joshua Alan Teter
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Toc

Table of Contents (21) Chapters Close

Preface 1. Section 1: What Is a Technical Program Manager? FREE CHAPTER
2. Fundamentals of a Technical Program Manager 3. Pillars of a Technical Program Manager 4. Career Paths 5. Section 2: Fundamentals of Program Management
6. An Introduction to Program Management Using a Case Study 7. Driving Toward Clarity 8. Plan Management 9. Risk Management 10. Stakeholder Management 11. Managing a Program 12. Emotional Intelligence in Technical Program Management 13. Section 3: Technical Toolset
14. The Technical Toolset 15. Code Development Expectations 16. System Design and Architecture Landscape 17. Harnessing the Power of Artificial Intelligence in Technical Program Management 18. Enhancing Management Using Your Technical Toolset 19. Other Books You May Enjoy
20. Index

Summary

Code development makes up a large portion of the deliverable work in a tech industry project or program. As a TPM, we are responsible for this work, though do not do this work ourselves. In order to be responsible, we must be able to understand the work so that we can properly engage with our team during design discussions and stand-up meetings, and to convey the current progress to stakeholders.

To ensure that we are successful in our role, we discussed the styles of programming that are most in use right now—OOP and functional programming. We learned that many languages allow for a mixture of the two styles in the same code base and that certain styles have benefits for particular tasks.

We learned about data structures that are commonly used and how their performance is measured using space and time complexities expressed through big O notation. We learned about simple list-based structures as well as more abstract structures, such as a graph that represents...

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