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kkleindev

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Submissions

Causal, Heterogeneous Treatment Effects in Python

github.com
1 points·by kkleindev·2 anni fa·0 comments

Analyzing Advent of Code

kevinkle.in
1 points·by kkleindev·3 anni fa·1 comments

I analyzed my exercise data from 2023

kevinkle.in
3 points·by kkleindev·3 anni fa·4 comments

AlgoPytest – Framework for Testing Algorand Smart Contracts Using PyTest

github.com
1 points·by kkleindev·4 anni fa·0 comments

Life Monitor

kevinkle.in
92 points·by kkleindev·4 anni fa·23 comments

I use Org Mode for personal logging/journalling

kevinkle.in
157 points·by kkleindev·4 anni fa·48 comments

Goals Are Abitrary

kevinkle.in
1 points·by kkleindev·4 anni fa·0 comments

Modelling Sudoku with a Gym Environment

kevinkle.in
3 points·by kkleindev·4 anni fa·2 comments

I analyzed my running data from 2021

kevinkle.in
2 points·by kkleindev·5 anni fa·0 comments

comments

kkleindev
·3 anni fa·discuss
Indeed manually
kkleindev
·3 anni fa·discuss
It might sound silly but I've found it to work quite well for me: I store the (rather coarse) data on these exercise activities in my Google calendar.

I also do some more fine-grained analyses (e.g. looking at heart rates) via Garmin and Strava but for cross-discipline comparisons I mostly rely on my calendar entries.

I've found the calendar to be extremely reliable -- knock on wood -- over long time horizons (I have exercise data going back to 2016). Also, it's very flexible. I store additional metadata, e.g. the distance of a run, in the event description.

At some point I explained this a bit more in this post: https://kevinkle.in/posts/2018-10-21-running-log/
kkleindev
·3 anni fa·discuss
The teams I've been working on have resorted to data tests instead of code tests. That means that the data produced by your code is tested against a certain set of expectations - in stark contrast to code being tested _before_ its execution.

We've written our own tool to compare different data sources against each other. This allows, for example, to test for invariants (or expected variations) between and after a transformation.

The tool is open source: https://github.com/QuantCo/datajudge

We've also written a blog post trying to illustrate a use case: https://tech.quantco.com/2022/06/20/datajudge.html
kkleindev
·4 anni fa·discuss
> I felt that when I was writing publicly about my life/thoughts I was focusing too much on my ego.

Why do you want to avoid that?
kkleindev
·4 anni fa·discuss
For a reason I haven't been able to distill I really appreciate it when people known for one facet of their personality (here: being a big shot in crypto) have the courage to be open about other, much less impressive facets (here: writing about mundane practicalities) of their lives as well.
kkleindev
·4 anni fa·discuss
I agree that what you suggest is more useful in many scenarios, particularly when one care about _monitoring_ of performance.

Unlike the rest of the notifications, my ambition with this cumulative distance plot was rather to intervene by cheering than to observe by analyzing. Put differently, I tried to gamify the yearly distance - as if I was racing against last year's version of myself. I'm not advocating for this, I just liked the idea at some point.
kkleindev
·4 anni fa·discuss
That's a great point! I vaguely tried to go in that direction by plotting the average over the past 7 days, the average over the 7 days before and the average over the year to date. Yet, I fully agree one might want to push this a little further and do as you describe. Thanks for the suggestion!
kkleindev
·4 anni fa·discuss
Last time I checked organice didn't support offline editing on mobile. If that worked it would likely also be my weapon of choice!
kkleindev
·4 anni fa·discuss
Cool idea! I do like to be able to work on it offline, e.g. on planes, though.
kkleindev
·4 anni fa·discuss
My current setup is also slightly dissatisfying in that regard. What's nice (or rather a consolation) about orgzly - the mobile app I use - is that upon conflict, it explicitly offers to either choose the remote or the local version. At first I was worried it would simply attempt to always overwrite based on the local version.
kkleindev
·4 anni fa·discuss
I personally find it so easy to forget how deeply ingrained the assumption of a working legal system is in everything I do.
kkleindev
·4 anni fa·discuss
Thanks!
kkleindev
·5 anni fa·discuss
I appreciate the level-headedness of this writeup.