The Ultimate Coding Setup for Data Science

In this video I go though how I setup my operating system to code for datascience. We talk about operating system, terminal, IDEs and more.

Timeline:
00:00 Intro
00:22 Operating System
03:53 Terminal Stuff
09:19 Virtual Environments
12:40 IDEs

My other videos:

#datascience #python #coding

[saxegothaea_conspicua]

Really cool video. Is always hard at the beggining to know which is the beast set up, and chossing from so many options. Thanks a lot and keep the good work.

[luis]

Really cool! This is exactly what is missing. I am just used to work on jupyter notebooks and this helps transition into a more terminal-scripts workflow. Would be interesting to follow you on a project setup. Something like the tensorflow developer exam.

[nevelis]

Two tools that I discovered while interviewing for my last job is fzf (fuzzy find, super fast replacement for find + grep on file names) and ag (silver searcher, like grep -R but lightning fast).

[liamboyd]

This guy’s content is always on point!

[juan.o.p.]

Thanks for the recommendations!! I'll definitely give Tmux a try.

[beethovennine]

GREAT! I'm in the process of learning Ubuntu, so this vid comes just in time...thanks!

[cedric]

You talk about helping us on a daily basis with a bass guitar in the background... I see what you did there :D

[rahatos]

Really cool video. Definitely gonna try Tmux, love it!

[juliocardenas]

I would recommend adding Docker to the set up ; it makes it easier to deploy your work

[bazoo]

Re: vi - Yes, it is unintuitive for novices, but once you learn _all_ of it, it is the most efficient programming editor by far. What it does _not_ provide (without extensions and/or external utilities) are niceties like keyword and variable completion, function/method synopsys help etc. IDE it is not, but as a pure editor, it is unmatched.

[arda]

Casual people: python, jupyter notebook and modules are the most important things for data science.


Rob: tmux and linux or go cry

[MassaM]

As usual. Amazing content! Maybe you could also specify the hardware setup. Screen / Desk / CPU Components / Mouse etc.

[MrDotManPeriod]

this video was very helpful for me (new to linux and data science)

[deepak]

Great Video Rob.Thanks for sharing the setup .Could you pls do a video on how to ssh, using vim ? And also few tips and tricks 😃

[mohamedtekouk]

Hamdulilh i have found your youtube channel as i switch from R to python and i found your channel really really amazing

[mirandaenergypark]

Great video Rob - thank you. I hope you don't mind me mentioning, but you have a spelling error in your website title banner. I know, a minor thing, but being a programmer and focused on detail, you may appreciate!

[jti]

this was awesome! I actually use a chrome book and use google colab for everything. really interesting to see different data science setups

[matematicasyprogramacioncl]

I was wandering what os to use in my Mac for dual boot (data science projects and some develop). I think this video illuminate me.

[oliver_ai]

I finally learned how to load scripts in Jupyter lab. Thanks

[bazoo]

Re: "why Linux" - I have to do most of my work on Windows because my clients do. But I make sure to install CygWin on every machine I work on (including clients' servers running SW I maintain) - command line is immeasurably more efficient than GUI in 95% of cases. On my Windows I now have LTS versions of Ubuntu (22.04 currently) under WSL2 and, again, do almost everything from bash.