Anonymous:

Hi! I saw your theme on another blog and found yours! I read your terms and conditions and I just wanted to clarify: if I want to use your theme for personal use, can I download it to use for my blog? I’m new to tumblr and coding so I wasn’t sure what you meant by ‘don’t copy and paste anything’ - does this refer to taking bits and pieces of your codes and not crediting you? I’m sorry if this sounds so dumb, but I just wanted to check with you first. Thank you I’m advance!

yes, you can download it for use for your blog! you’re correct, it just means taking pieces of code without crediting

thanks :)

Anonymous:

hello! do you know how to only show the first image of a photoset on the index page? I tried looking it up online but I couldn't find anything :/

you can copy the photosets code from my phi theme lines 610 to 618

https://pastebin.com/Dmpq0A8a

you’ll need to include most of the scripts on lines 660-748 too

Anonymous:

Hi um i may just be stupid but your milk themes code is private for some reason

I can’t remember why I made it private, but here you go

I made all of my old themes public on pastebin, many of them probably don’t work anymore, but well, they’re there if you want them

Anonymous:

finding out that you’re a data scientist like 3 weeks before I apply for uni (I’m going for a maths, stats and data science course) is pretty awesome 😌😌 you said python and SQL are both pretty important— if you don’t mind me asking, when I graduate university, are there any other languages that would improve my chances at getting a job, or is it mainly just those two?

that’s so exciting, best of luck!

I don’t know if I would recommend any other languages, although it is nice to be flexible, I think going deeper into python will benefit you. some libraries to check out are 

  1. pandas and pyspark for dataframes
  2. scikit-learn for machine learning
  3. matplotlib/seaborn for visualizations

other than languages, I think some useful tools are:

  1. bash scripting in linux or unix
  2. git version control
  3. tableau dashboards

I’m still learning these three myself, so I don’t think you need to go super deep. if you learn a little bit now, it’ll make it easier to pick up again down the line!

Anonymous:

hello! apologies if you've answered this before (I looked through your blog but didn't see anything similar). I'm trying to edit an old code (not one of yours) to display posts by having replies simply appear under one another (rather than being indented with block quotes) to accommodate Tumblr's Neue Post Type update, but I'm struggling and was wondering if you knew how to do it. I don't have a coding background but hoping the answer isn't specific to the theme! thank you so much!!

Anonymous:

hi ! its me the one who asked ant data science , tysm for answering my last question !! i got my sample videos and assignments for the course and i'm v excited ! in addition to that , i saw some videos on youtube that were like " data science full course" and theyre 10hr vids . i was wondering if that really is the full course ? like do u think you can study it from a 10hr course ? not fully ofc but atleast a brush up or smtg ? i hope youre doing well !! have a good day !

personally, I’m not sure that I could get a deep understanding by watching youtube videos. I think I learn best by working through problems myself and getting feedback. but it looks like those videos have a lot of views/likes so they must have some value!

Anonymous:

Hello! I was wondering how did you add the infinite scroll plugin in your themes? I've looked up Paul Irish's plugin but I can't seem to get it right :(

I would recommend just copy and pasting the scripts starting on row 293 of my base code

you will have to find the elements in your theme that correspond to .content, .entry, .pagination, and .next and replace those classes with your classes. for example, if you have <div class=“post”> instead of <div class=“entry”>, then you’ll change .entry to .post on row 314. and so on

I hope this makes sense!

Anonymous:

hello ! im gonna pursue data science and i saw that we'll learn some coding in it so i just wanted to know ,, is coding very difficult?? do we need math for it ??

hi!

I’ve been working as a data scientist for 2 years, and I should probably note that I work at a traditional/non-tech company, I’m sure data scientists at tech companies have a very different experience

I majored in math in college and I got a masters in statistics, and I took only 2 courses in that time fully dedicated to coding, one was in C++ and the other was in SAS. several of my upper-level undergrad courses and all of my masters-level courses used some MATLAB, SAS, or R. I taught myself the basics of SQL and Python (mainly pandas and scikit-learn, two critical Python libraries for data science) before I applied for jobs because they came up a lot in job descriptions. I mentioned 6 coding languages there, but actually the only coding languages in my day-to-day work are SQL and Python, which I mostly taught myself

as you can see from this blog I’m not exactly a newbie to coding, and I remember coding CSS and HTML as early as age 10 or 11, so my experience may not be universal, but I don’t think coding is hard. in fact, coding will probably end up being your favorite part of your job as a data scientist. it beats attending meetings, preparing slides, writing emails, and (the worst of all personally) updating documentation

but math is one of the fundamental skills you will need as a data scientist, so just because you don’t necessarily need it for coding, you will probably need it for developing models, validating your models, and calculating key performance metrics

when I’ve interviewed candidates in the past, most will have a plethora of coding languages on their resume, but I’m only really looking for them to have a good grasp of SQL and Python if they have those on their resume. the thing that is harder to teach is the probability and machine learning theory

I hope I answered your question, sorry I probably wrote too much, but I enjoyed answering, thanks :)

k.