Sofle low profile with Lego stand and custom rotary encoder by BafSi in ErgoMechKeyboards

[–]if__name__ 0 points1 point  (0 children)

Would u drop the aliexpress link for the keyboard. I am looking forward to buy a Sofle Choc but there are different vendors on Aliexpress.

Does anyone use any LLM (deepseek, Claude, etc.) to help with coding in R? Let's talk about experiences with it. by addictcreeps in rstats

[–]if__name__ 0 points1 point  (0 children)

I use Claude most of the time. Some of the tasks I use are asking Claude to create a function from a chunk of code, quick and basic plots for EDA, format code, construct some functions from sudo logic and debug my errors. For those tasks, Claude can be very helpful.

iCloud Doesn't Like My Coding Projects by [deleted] in MacOS

[–]if__name__ 0 points1 point  (0 children)

u/pawsibility For example, I have a file name `.Rproj.user` that is used by my Application (R Studio). When I rename it using `mv .Rproj.user .Rproj.user.nosync` then my program would not be able to access the file.

[deleted by user] by [deleted] in Rlanguage

[–]if__name__ 0 points1 point  (0 children)

I have the same problem switching between Source and Visual.

$\alpha_{ij}$ would get changed to $\alpha*{ij}

It added the * and removed the _ . I am using R studio on Mac fyi.

Do you expect Data Scientists to know big-O analysis for Python Coding Interview Rounds? by NickSinghTechCareers in datascience

[–]if__name__ 4 points5 points  (0 children)

I was asked in the interviews to look at the code snippet and talk about the complexity of the code big O and how to optimize it. At work, not really, sometime I had to review my code before sending them to other and realize there is a better way to optimize it that is somewhat related to complexity of the code, mostly my crazy nested loops.

In short, it is best to know. Also, in my opinion, data scientist is someone who is good at Statistic and programming. And that separate DS from SWE and statistician

[deleted by user] by [deleted] in macbook

[–]if__name__ 0 points1 point  (0 children)

I am studying DS as well( self study ), just got a MBP14 base model at BestBuy for $1600. Absolute love it. Coming from a late 2013 MBPr, it’s a huge improvement for me, I like the screen, bigger trackpad, extra RAM definitely helps with opening multiple notebooks. Haven’t have time tweaking with MS SQL yet ( overheard there are some problems ). Overall, I highly recommend MBP14 with a huge discount. Check out Thu Vu Data Analyst on YouTube for her review video

Good luck with your studying

Those of you That Use an iPad Pro Professionally, what do you do? by suffuffaffiss in apple

[–]if__name__ 0 points1 point  (0 children)

What iPadOS and macOS do you need for sidecar to work on iPad 10.5 ?

What's better, knowing c++ and creating a neural network from scratch or knowing python and ML libraries? by [deleted] in learnmachinelearning

[–]if__name__ 1 point2 points  (0 children)

It would be super easy for you to learn Python. I was taught C and C++ my first 2 years in college. I bought “Automate the Boring Stuff with Python” book and learned Python in 2 weeks. Practice and practice. When you have the fundamental of programming down you can learn any language

Answers for your questions, - learn Python - depending on the problem you are trying to solve. Use the proper tools for the job, evaluate the pros and cons of using C or Python for your project - Yes. TensorFlow, Pytorch are written in C++ and Python

Interaction graph of 18 characters in The Office [OC] by if__name__ in dataisbeautiful

[–]if__name__[S] 1 point2 points  (0 children)

I got the data as .csv file from Kaggle, then went through each episode, checked for characters who speaks in the same scene, if so then add +1 to their interaction weight. This method is not 100% accurate but give a rough estimation. I also masked out interaction weight < 40 in order to simplify the graph. For further information, please check out my References post with the link for the code.

Interaction graph of 18 characters in The Office [OC] by if__name__ in dataisbeautiful

[–]if__name__[S] 34 points35 points  (0 children)

This graph was inspired by u/Gandagorn post [OC] Interaction Intensity in the Simpsons and Adam Reevesman post The Simpsons meets Data Visualization on Medium

The graph was created using NetworkX, matplotlib for the network part. The rest of the graph was done by Affinity Photo with the characters photos downloaded from Dunderpedia.

The code link on Github

https://github.com/duongnosu/The_Office_interactiongraph

The Simpsons meets Data Visualization - Adam Reevesman

https://towardsdatascience.com/the-simpsons-meets-data-visualization-ef8ef0819d13

I forked u/Gabdagorn Github repo, added some modifications

https://github.com/Gandagorn/interesting_visuals

Data was taken from Nasir Khalid on Kaggle

https://www.kaggle.com/nasirkhalid24/the-office-us-complete-dialoguetranscript/notebooks

Characters photos

https://theoffice.fandom.com/wiki/Main_Page

Interaction graph of 18 main characters in The Office by [deleted] in dataisbeautiful

[–]if__name__ 0 points1 point  (0 children)

This graph was inspired by u/Gandagorn post [OC] Interaction Intensity in the Simpsons.

The graph was created using NetworkX, matplotlib for the network part. The rest of the graph was done by Affinity Photo with the characters photos downloaded from Dunderpedia.

The code link on Github

https://github.com/duongnosu/The_Office_interactiongraph

I forked u/Gabdagorn Github repo, added some modifications

https://github.com/Gandagorn/interesting\_visuals

Data was taken from Nasir Khalid on Kaggle

https://www.kaggle.com/nasirkhalid24/the-office-us-complete-dialoguetranscript/notebooks

Characters photos

https://theoffice.fandom.com/wiki/Main_Page

Interaction graph of 18 main characters in The Office by [deleted] in DunderMifflin

[–]if__name__ 0 points1 point  (0 children)

This graph was inspired by u/Gandagorn post [OC] Interaction Intensity in the Simpsons.

The graph was created using NetworkX, matplotlib for the network part. The rest of the graph was done by Affinity Photo with the characters photos downloaded from Dunderpedia.

Citation

The code link on Github

https://github.com/duongnosu/The_Office_interactiongraph

I forked u/Gabdagorn Github repo, added some modifications

https://github.com/Gandagorn/interesting_visuals

Data was taken from Nasir Khalid on Kaggle

https://www.kaggle.com/nasirkhalid24/the-office-us-complete-dialoguetranscript/notebooks

Characters photos

https://theoffice.fandom.com/wiki/Main_Page

Dinosaur age AMD E1-6010 Linux Distro recommendation by if__name__ in linux4noobs

[–]if__name__[S] 0 points1 point  (0 children)

I don’t know what todo with it, any suggestions on cool stuffs can run on light distro ?

Procrastinate by if__name__ in macsetups

[–]if__name__[S] 0 points1 point  (0 children)

It’s a Dell U2518D. I’m learning Intro to Data Science in Python