jeremypk

Splunk Review

One of my favorite tools over the years has been Splunk. It’s an excellent option for gathering and analyzing log data from a variety of sources. Use it for monitoring, troubleshooting, dashboarding and alerting across apps, DBs, sensors, IoT devices and more. I’ve not had a chance to use it in a while so wantedContinue reading “Splunk Review”

Networking Review – Updated

I needed to review some computer networking concepts this week. I’ve learned and forgotten a lot of this stuff more than once so thought I’d write some of it down here for easy reference. I’ll likely add more as I get to it. Updated 9/10/20: Just adding a few more bullets from my studies. DNSContinue reading “Networking Review – Updated”

GitHub Pages

Checking out GitHub Pages has been on my ToDo List for a while. Today I finally got to it. It’s actually a straightforward process. I used GitHub Pages documentation and this video from Chris Goranson to cross this off the list. Image below, and live site where I’ll keep some #dataviz fun is here.

Software Test Planning Review

Given that I’ve mostly been straight coding lately, well…, and also enjoying as much of the Seattle Summer as possible, I thought it’d be a good time to do review some QA concepts. To that end, I found this great course on LinkedIn Learning, Software Testing Foundations: Test Planning. The instructor, Mike Fine, reviews someContinue reading “Software Test Planning Review”

#100DaysOfCode Round 2 Goals

Update: on Round 2 Goals. I made some progress, but didn’t keep good track of these and got distracted by other projects. Gotta keep trying! I’m feeling excited about round 2 of #100DaysOfCode and wanted to put down some goals. Here they are: Brush up on Git – COMPLETE Create Python Projects – Sorta madeContinue reading “#100DaysOfCode Round 2 Goals”

#100DaysOfCode Retrospective

Wow, it’s hard to believe I’ve completed my first #100DaysOfCode. For some background, I’ve worked as a software tester for many years and have had some coding experience, namely with Ruby and Java for test automation. I decided it was time to level-up in a big way and Python was my language of choice givenContinue reading “#100DaysOfCode Retrospective”

#100DaysOfCode, Almost Done!

So, I’m 80+ days into #100DaysOfCode! I was hoping to post at the midway point but clearly didn’t get to it, as I was focusing on actually coding! Is it too early to start looking forward to round 2? Below is what I’ve touched so far… Hours and hours with Python across multiple areas: ‘Foundational’Continue reading “#100DaysOfCode, Almost Done!”

#100DaysOfCode

Well, now is as good a time as any to jump into #100DaysOfCode. I’ll be studying Python, SQL and if there’s time, some D3.js for #dataviz fun. (Of course D3 study will necessitate a big Javascript review.) I’ll be saving my work in a new repo here: https://github.com/jpkeeton/2020Drills! Here’s a quick glance at some PandasContinue reading “#100DaysOfCode”

2020 Goals

I completed most of my 2019 goals, for example – finishing 2 bike races and passing the the Tableau Desktop Specialist Exam. Now to get ready for 2020. Here are my 2020 goals: (Updated to reflect Corona Virus lockdowns) Pass the Tableau Desktop Certified Associate Update: We’ll see if I can get to this. ContinueContinue reading “2020 Goals”

Which Viz Type is Best?

It’s important to leverage the best data visualization approach applicable to the task at hand. Here is one of the better guides I’ve found to aid your efforts. Thanks to the Financial Time Visual Journalism team for creating this. Check out their GitHub Toolbox for more!