IT Troubleshooting and Debugging Techniques with Python

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TROUBLESHOOTING CONCEPTS
0:00:00 Course introduction
0:04:10 introduction to debugging
0:21:20 understanding the problem
0:52:54 binary searching a problem
1:08:14 module review

SLOWNESS
1:10:43 understanding slowness
1:39:19 slow code
2:04:50 when slowness problems get complex
2:25:40 module review

CRASHING PROGRAMS
2:27:27 why progams crash
2:58:51 code that crash
3:28:05 handling biggger incidents
3:43:46 module review

MANAGING RESOURCES
3:45:28 managing computer resources
4:13:35 managing our time
4:36:09 making our future lives easier
4:54:49 module review
4:56:22 Course wrap up

--------------------------------------------------------------About this Course----------------------------------
In this course, we'll give you the tools to quickly identify and solve real-world problems that you might come across in your IT role. We'll look at a bunch of different strategies and approaches for tackling the most common pitfalls of your code and IT infrastructure. You'll learn strategies for approaching almost any technical problem and then see how those apply to solving different real-world scenarios.

We picked examples that include general system issues, issues with software that someone else wrote, and issues with programs that we wrote. We'll talk about problems that can affect any operating system, and we'll also look at challenges specific to certain platforms and scripting languages.

We strongly recommend that you’ve taken the prior courses in this program, or already have knowledge of Python and Linux so that you can follow along with our troubleshooting examples.




Important Links and Notes
The creator of this course is Google ( Team: Grow with Google )
As per Coursera FAQ section of Google IT Automation with Python Professional Certificate:
Yes, the content in the Google IT Automation with Python Professional Certificate is licensed under a Creative Commons Attribution 4.0 International License.

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