ArnuldOnData

Software Developer turned Data Scientist

[Andrej Karpathy @karpathy]

# on shortification of "learning"

There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are learning (but actually they are just having fun). The people creating this content also enjoy it because fun has a much larger audience, fame and revenue. But as far as learning goes, this is a trap. This content is an epsilon away from watching the Bachelorette. It's like snacking on those "Garden Veggie Straws", which feel like you're eating healthy vegetables until you look at the ingredients.

Learning is not supposed to be fun. It doesn't have to be actively not fun either, but the primary feeling should be that of effort. It should look a lot less like that "10 minute full body" workout from your local digital media creator and a lot more like a serious session at the gym. You want the mental equivalent of sweating. It's not that the quickie doesn't do anything, it's just that it is wildly suboptimal if you actually care to learn.

I find it helpful to explicitly declare your intent up front as a sharp, binary variable in your mind. If you are consuming content: are you trying to be entertained or are you trying to learn? And if you are creating content: are you trying to entertain or are you trying to teach? You'll go down a different path in each case. Attempts to seek the stuff in between actually clamp to zero.

So for those who actually want to learn. Unless you are trying to learn something narrow and specific, close those tabs with quick blog posts. Close those tabs of "Learn XYZ in 10 minutes". Consider the opportunity cost of snacking and seek the meal - the textbooks, docs, papers, manuals, longform. Allocate a 4 hour window. Don't just read, take notes, re-read, re-phrase, process, manipulate, learn.

And for those actually trying to educate, please consider writing/recording longform, designed for someone to get "sweaty", especially in today's era of quantity over quality. Give someone a real workout. This is what I aspire to in my own educational work too. My audience will decrease. The ones that remain might not even like it. But at least we'll learn something.

[ArnuldOnData @ArnuldOnData]

If you’re writing, it’s a good idea to know a bit about typography, its basics, and typesetting history. Here’s an excellent blog post by @laarabonn at @99designs that lays a strong foundation on the subject:

https://t.co/P9JbZCl9PR

#typography #GraphicDesign #font

[ArnuldOnData @ArnuldOnData]

Here is a roller coaster journey of Luis Oliveira from environmental engineering to washing dishes in Norway to becoming a data engineer:

https://t.co/eM7SrxutKS

#technology #softwareengineer #motivation #inspiration #careers #jobsearch #jobseekers #success #dataengineer

[ArnuldOnData @ArnuldOnData]

Writing code is easy, but writing good, clean code is hard. Here a good post by @duplxey on writing clean code in Python:

https://t.co/23vURIRTiv

#Python #Coding #SoftwareDevelopment #SoftwareEngineering

[ArnuldOnData @ArnuldOnData]

Want to get started in Ansible? Here is a simple and practical set-up:

https://t.co/p2OcYmzb3f
#devops #SoftwareEngineering #linux #codinglife

[Bob Belderbos @bbelderbos]

Often you don't need a regex, #Python's string methods cover a lot!

[Robert John | Don’t Fear AI @trojrobert]

Deploying Machine Learning model to production requires learning a lot of tools.

I created this curriculum and roadmap for beginners in MLOps and anyone that want to deploy ML models to production.

[ArnuldOnData @ArnuldOnData]

A print statement to display some information? You know the text you want to display is different from what you mean?

Here is a better attitude to writing documentation & displaying information by @ericholscher

https://t.co/AWGOOQwDIk

#markdown #python #programming #Software

[ArnuldOnData @ArnuldOnData]

Who says we can't learn from juniors in the industry?

Today a senior software engineer learned "what to think" from a junior data engineer. Check out this blog post by @GalicFlorijan

https://t.co/45BRDOTs4a

#DataScience #dataengineering #MachineLearning

[ArnuldOnData @ArnuldOnData]

Few months ago @zachvoulgaris was kind enough to give me an opportunity to share my experience through his #podcast

https://t.co/VxjKDNPALS

#datascience #DataAnalytics #programming #softwaredevelopment #learning #careers #21stcenturylearning #unix #linux #usenet

[ArnuldOnData @ArnuldOnData]

@JenMsft Yeah, I learned programming on that port 😇

[ArnuldOnData @ArnuldOnData]

Here is an awesome post by @somacdivad on how to write more Pythonic code. It is:

- practical
- very simple to understand
- superbly well written

https://t.co/4TAsqiNi7T

I found this post in Issue #517 of @pycoders

#python #pythonlearning #Pythonistas

[ArnuldOnData @ArnuldOnData]

-- Bayes' Theorem --

A not so easy to comprehend math formula?

Here is a different attitude to look at the #BayesTheorem. Not from the mathematical perspective but from the "why", by @boemer

https://t.co/A8mioQDsw8

#DataScience #MachineLearning #Statistics #bayes #Math

[Mark Tenenholtz @marktenenholtz]

It costs $0.00 to learn machine learning nowadays.

You can:

• Use Kaggle to scrape your data
• Use Kaggle to clean your data
• Use Kaggle to build your model
• Use Kaggle to rerun your model

Kaggle isn't just for competitions.

Take full advantage of it.

[ArnuldOnData @ArnuldOnData]

@TonyRobbins said: leaders anticipate, losers react. One reason we react b'cos we get caught by a surprise, we just did not expect that thing to happen to us.

Here are good reasons why @hellotinah learns about #Software #careers the way she does:

https://t.co/W8Aoz7DmS9

[ArnuldOnData @ArnuldOnData]

This is the best explanation so far when it comes to understanding LaTex and getting the basic idea behind it. Everyone who needs an introduction to typesetting or LaTex or TeX needs to watch this video.

#latex #tex #typesetting #presentations #ppt #publishing #Video #fonts

[eitanlees @eitanlees]

Why LaTeX? Well, you will have to watch to find out!

https://t.co/QbdOSCEV9i

[ArnuldOnData @ArnuldOnData]

A practical guide to #learning things faster whether it's #DataScience, #programming, #interview preparation or anything else. Thanks to @hellotinah.

- broad vs specific learning
- the forgetting curve
- why people go onto the longer path

https://t.co/Vapn8Faw0w

[ArnuldOnData @ArnuldOnData]

--- Composability, Code Reuse, and Package Ecosystems --

A good blog-post on these programming and software development ideas by @MartinDMaas

https://t.co/aEnICTEgG3

#python #julialang #benchmark #numba #cython #softwaredevelopment #softwaredesign #programming

[ArnuldOnData @ArnuldOnData]

@JuliaLanguage described as “immature” “but developing very fast”?

Here are some hard facts by @ChrisRackauckas

https://t.co/Vhq9GXEje7

#julialang #programming #python #softwaredevelopment

[ArnuldOnData @ArnuldOnData]

If it quacks like a "Float64" and walks like a "Float64", is it a "Float64"? Wisely spoken words from @StefanKarpinski as a reply to Professor John F Gibson's question related to the "why" behind @JuliaLanguage:

https://t.co/9ndcVhvIy8

#python #numpy #julialang #programming