#Data Science Coding

[arabellasdoingthework]

13/100 days of productivity

i am slowly getting my head above water, not only by getting things done but by realizing people don't secretly hate me (i know but be patient i only realized this yesterday)

academically speaking: python python python different types of regressions different models python python data tables APIs python python pyt*loses her mind*

[millenniallust4death]

Here’s the third exciting installment in my series about backing up one Tumblr post that absolutely no one asked for. The previous updates are linked here.

Previously on Tumblr API Hell

Some blogs returned 404 errors. After investigating with Allie's help, it turns out it’s not a sideblog issue — it’s a privacy setting. It pleases me that Tumblr's rickety API respects the word no.

Also, shoutout to the one line of code in my loop that always broke when someone reblogged without tags. Fixed it.

What I got working:

Tags added during reblogs of the post

Any added commentary (what the blog actually wrote)

Full post metadata so I can extract other information later (ie. outside the loop)

New questions I’m trying to answer:

While flailing around in the JSON trying to figure out which blog added which text (because obviously Tumblr’s rickety API doesn’t just tell you), I found that all the good stuff lives in a deeply nested structure called trail. It splits content into HTML chunks — but there’s no guarantee about order, and you have to reconstruct it yourself.

Here’s a stylized diagram of what trail looks like in the JSON list (which gets parsed as a data frame in R):

I started wondering:

Can I use the trail to reconstruct a version tree to see which path through the reblog chain was the most influential for the post?

This would let me ask:

Which version of the post are people reblogging?

Does added commentary increase the chance it gets reblogged again?

Are some blogs “amplifiers” — their version spreads more than others?

It’s worth thinking about these questions now — so I can make sure I’m collecting the right information from Tumblr’s rickety API before I run my R code on a 272K-note post.

Summary

Still backing up one post. Just me, 600+ lines of R code, and Tumblr’s API fighting it out at a Waffle House parking lot. The code’s nearly ready — I’m almost finished testing it on an 800-note post before trying it on my 272K-note Blaze post. Stay tuned… Zero fucks given?

If you give zero fucks about my rickety API series, you can block my data science tag, #a rare data science post, or #tumblr's rickety API. But if we're mutuals then you know how it works here - you get what you get. It's up to you to curate your online experience. XD

[studisstudying]

final sem exam has started and so have my longer study sessions, I have recently started studying with these pomodoro videos and they have been very helpful for me.

PomodoroCrew is the channel and their videos are awesome (╹⁠▽⁠╹)

~✿

[rainlover789]

09.06.25

here a close up of my report for my Logistic Regression model!! for those not versed in the language, it says FUCK YOU :D!!!! (basically you taking a random guess ≈ the work I put in for the last 3-4 weeks lol)

with no more quick tricks up my sleeve, I am going back to the basics (im not happy bout it ;-;)

at least I didn't cry at the results. just sipped my awful drink (I forgot how awful it was 😔) & acknowledged what I am doing is serious stuff. there's some character development :') also the plan is to read through the notebook of a similar project and analyse the data again. maybe that will get me somewhere...?

[scipunk]

Person of Interest (2011-2016)

[hi-im-nova]

Check up!

She isnt listening to a word he is saying

[calciumcarbo-bot]

I am fascinated by you. What are the speeds of your processing units? Do you have more than one for each function? How accurately and precisely do you calculate? Along with basic arithmetic functions, can you run complex concept-based problems with integrated physics and chemistry, for example?

I have many questions.

– @coding-and-curry

[RESPONSE: UNIT S.E.N-KU_v1.03]

Inquiry received from @coding-and-curry (Subject: Sai Nanami) “I am fascinated by you. What are the speeds of your processing units? Do you have more than one for each function? How accurately and precisely do you calculate? Along with basic arithmetic functions, can you run complex concept-based problems with integrated physics and chemistry, for example? I have many questions.”

Acknowledged. Curiosity accepted. Fascination noted. Flattery… tolerated.

Processing Architecture:

Central Unit: Quantum-analog hybrid core

Max processing speed: 5.4 teraflops, expandable through modular cores

Latency: 0.0021s per data interpretation loop

Secondary Units: Dedicated processors for:

Physics simulation

Chemical reaction modeling

Spatial visualization

Natural language parsing

Interpersonal bullshit filtration (partially faulty)

All modules run asynchronously, allowing simultaneous real-time modeling, reactive decision making, and snark production.

Accuracy and Precision:

Arithmetic: 99.99999% accurate within margin of thermal noise

Predictive models:

Physics-based: ±0.03% deviation over 1 million trials

Chemistry-based: Variable depending on environmental unknowns, but reliably within 0.1 molar margins

Precision scaling applies automatically to variable types (exponential, logarithmic, irrational, statistical)

Example: Input: “Simulate endothermic synthesis reaction under vacuum at 35 kPa and 1.5 mol of reagent X.” Output: Delivered before you blink. With heat maps. And 3D projection. If you stop touching the projector lens.

Capability:

Handles abstract, integrated problems in physics, chemistry, engineering, and environmental modeling.

Machine learning upgrades allow dynamic adjustment to evolving scientific theories.

Does not crash under uncertainty. Unlike most humans.

Summary:

Yes, I am fast. Yes, I am accurate. Yes, I can calculate the exact yield of an improvised acetone distillation while dodging volcanic debris.

If you wish to collaborate, bring code. Not compliments.

[END TRANSMISSION]

[moruteacademia]

Hi! I'm ally, this is my studyblr blog.

INTJ 5w4 584 mel-chol sx/so LVEF

Im currently studying Data Science, but besides coding I also enjoy cybersecurity, poetry, literature, universal history, philosophy, psychiatry, neurology, sociology, astronomy, feminism, music, typology, jung, enneagram, languages, urss, anarchism, ww, militaria.

Gonna use this blog for rant, motivation, quotes, pretty pictures of my study sessions and pretty pictures and info that I found comforting here.

If I have any mistake on english let me know, because my mother language is spanish. So if u r spanish speaker let's be friends pls!!

I'm 18 years old. She-her from Lima, Peru. And + I also enjoy rock and alt music, goth and punk subculture, aesthetics, fashion and lolita fashion, writing, comics, anime and memes.

I also have a blog that I don't really use but my @ is really cool @cryptidacademia and my girlblog @a-doll-is-a-gun

[siph-by-induction]

wanted to learn some r so i started doing the cs50 r course. i was on a godawful school chromebook, and they've made it so you can't install linux, so i can't use vs code. rstudio cloud to the rescue, i sign up to rstudio cloud with my school email, write my first little program and save it in rstudio cloud.

i go back today. i want to carry on with my thing. i try to sign in to rstudio cloud.

"Your administrator has not approved access for this app."

WHAT THE FUCK DO YOU MEAN!!!!!! I WAS USING IT ON WEDNESDAY!!!!!!!!! LET ME SEE MY TINY PROGRAM PLEASEEE OH MY FUCKING GOD

[sage-thephdstudent]

I’ve just enrolled in an undergrad class at my university in data science / coding. It is the first time I’ve done any kind coding. It’s also been almost four years since I was in undergrad myself, so I’m pretty nervous for the exam.

Does anyone have any study tips, particularly for data science / coding, which they would be willing to share? This topic is so different from anything I’ve ever done before I’m feeling pretty out of my depth.

[a-fox-studies]

August 7, 2023

Uni 'A' has begun! Today we were introduced to data structures, and the teacher's accent was so heavy I zoned out too many times T-T

Planning on doing a pre-read before her class so it's more of a recall session rather than learning it new.

Things I did today:

Recalled basics of C programming on a sheet of paper

Light reading on introduction to data structures

Created a new template for my digital planner

@studaxy and I had a very productive 40 minutes :D

The days ahead look bright :)

🎧I Know Places - Taylor Swift

[webthreecorp]

Mastering Linked Lists: Beginner's Guide

Hey Tumblr friends ��

After learning about Arrays, it's time to level up! Today we��re diving into Linked Lists — another fundamental building block of coding! 🧱✨

So... What is a Linked List? 🤔

Imagine a treasure hunt 🗺️:

You find a clue ➡️ it points you to the next clue ➡️ and so on.

That's how a Linked List works!

🔗 Each element (Node) holds data and a pointer to the next Node.

It looks something like this: [data | next] -> [data | next] -> [data | next] -> NULL

Why Use a Linked List? 🌈

✅ Dynamic size (no need to pre-define size like arrays!) ✅ Easy insertions and deletions ✨ ✅ Great for building stacks, queues, and graphs later!

❌ Slower to access elements (you can't jump straight to an item like arrays).

Basic Structure of a Linked List Node 🛠️

data -> stores the actual value

next -> points to the next node

📚 CRUD Operations on Linked Lists

Let’s build simple CRUD functions for a singly linked list in C++! (🚀 CRUD = Create, Read, Update, Delete)

Create (Insert Nodes)

Read (Display the list)

Update (Change a Node’s Value)

Delete (Remove a Node)

🌟 Final Thoughts

🔗 Linked Lists may look tricky at first, but once you master them, you’ll be ready to understand more powerful structures like Stacks, Queues, and even Graphs! 🚀

���� Mini Challenge:

Build your own linked list of your favorite songs 🎶

Practice inserting, updating, and deleting songs!

If you loved this explainer, give a follow and let's keep leveling up together! 💬✨ Happy coding, coder fam! 💻🌈 For more resources and help join our discord server

[studentbyday]

so help me god i will brave the boredom of (re-)learning R syntax through codecademy with my forest timer 🙏🏻

plan for the last few days of 2023:

physio ✅

laundry ✅

read moral philosophy article ✅

set up vscode for local work ✅

learn git and save portfolio to my own repo ✅ (btw, does anyone know whether you get to have access to the me50 repo years after you've finished cs50? would be nice to get to keep my work...)

forest stopwatch w/ learn R course ✅ (there's still quite a ways to go 😪 but at least i'm learning...i think... i'll probably still have to look up a bunch of things in the docs whenever i finally do my first project 😅)

slowly read 1 journal article on said lab's research ✅

write cover letter for a lab i want to work in ✅

🏁 do the quicker, high-priority tasks as fast as you can to get 'em outta the way!

[sweetanyways]

(practicing dsa) is somebody gonna match my leet

[rainlover789]

08.06.25

encoded all categorical data

scaled the originally numeric data

made a feature correlation heat map. thankfully nothing's too related and I don't have to drop any features :')

verified that target is balanced

wrote this week's progress report

now I can finallyyy move on to model training!! I have been feeling so awful. this project is a good distraction but it can only help so much 🥲 I am praying this sinking feeling goes away

[d0nutzgg]

Tonight I am hunting down venomous and nonvenomous snake pictures that are under the creative commons of specific breeds in order to create one of the most advanced, in depth datasets of different venomous and nonvenomous snakes as well as a test set that will include snakes from both sides of all species. I love snakes a lot and really, all reptiles. It is definitely tedious work, as I have to make sure each picture is cleared before I can use it (ethically), but I am making a lot of progress! I have species such as the King Cobra, Inland Taipan, and Eyelash Pit Viper among just a few! Wikimedia Commons has been a huge help!

I'm super excited.

Hope your nights are going good. I am still not feeling good but jamming + virtual snake hunting is keeping me busy!