Lecture 7: Debugging and Profiling (2020)

[@skyeplus]

It's great to have an overview of what options exist, rather than discovering them one by one over the years.

[@wetwayne1504]

Learning about all these tools and how to work with data in the bash shell has changed the way I use Linux. Thank you guys for putting this up for us to view on KZbin!

[@michaelheywood896]

Thank you very much for the lecture. As mentioned in the letcure, just knowing that these great tools exist can be helpful when you run into issues.

[@vijaykumarmalhotra4509]

Amazing lectures, thanks a lot for sharing them! You guys are really helping students all over the globe by sharing with them the knowledge that would otherwise take years of hard work to gather.

[@الفُرقان-و8ب]

00:00 Debugging 27:56 Profiling really this is awesome lecture and whole playlist, thx ❤❤❤❤

[@bernoulli9047]

I enjoyed seeing the profiling/stress testing after 37:02. Would be cool to make a course like this one that focuses on optimizing or fixing bad code using these tools.

[@shadyabhi]

As an experienced SRE, new thing I learned is "lnav". And later, that also took me to another tool "angle-grinder". Both look cool!

[@Godzillaaaaa11]

en.wikipedia.org/wiki/Angle_grinder Here are more examples of Angle grinders! *Google Home Voice*

[@ManuelBTC21]

14:00 pudb > ipdb

[@jaredyam2607]

6:34 So where does the color.sh come from?

[@jesperolsen98]

#!/usr/bin/env bash for R in $(seq 0 20 255); do for G in $(seq 0 20 255); do for B in $(seq 0 20 255); do printf "\e[38;2;${R};${G};${B}m█\e[0m"; done done done

[@josh860826]

The python line_profiler profiles real (wall clock) time, right?

[@RaymondWang-f7x]

to be aware of the existence of this type of technology would be helpful.

[@prashantd6252]

So did these ask questions after the lecture? Coz it is boring if nobody asks a question.