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Python 1500: Practice Missions

A Professional Path to Pythonic Proficiencies using a Practical Programming Paradigm!
Instructor
Randall Nagy
1,270 Students enrolled
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When I learned Python, it was because the U.S. DoD had no other resources at Fort Huachuca’s Electronic Proving Ground to use Georgia Tech’s audio testing software. We needed that software to validate the quality of our battlefield telemetry.

 

My “Missions” series is designed to help you learn how to use it on-the-job, as well.

 

While writing code for our own use can be a lot of fun, creating the best software – even if for our own use – often involves doing a whole lot more than simply writing code.

Even when we are working for ourselves – let alone working for others – unearthing hidden requirements, planning software versions, defining code / data relationships in advance, testing, as well as planning for feature regressions can usually become just as important as well!

 

Thus while our own academic and / or “for-personal-use-only” projects are often fast, loose and “code-only” creations, creating world-class software must usually be planned, tested, maintained… as well as deliberately designed to be feature-rich.

 

These Missions will also cover a few terms, acronyms, best-practices, as well as an introduction to the most important on-line code-nexus which new software developers need to know so as to better prepare for working as a professional software developer.

 

So the accelerated lesson plan for the Python Missions learning process focuses upon demonstrating what NEW SOFTWARE DEVELOPERS might be called upon to do in order to create ready-to-re-use programming solutions. Those who have completed our Python 1000 series will have no problem completing these Missions, as well.

 

Much like our PSL-1100, Python Missions the topics these missions are presented to gradually rocket students into writing highly reusable, understandably designed, as well as cross-platform tested Python projects as quickly as possible.

If you find yourself skipping – or sleeping – your way through far-too-coder-centric programming examples, then Python Missions is designed for you!

 

Part Two: Defining & Testing Functions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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Video 2 hours
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