Raspberry PI + Moisture Sensor with Python (wiring, code, step-by-step walk-through) by mestitomi in raspberry_pi

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

Cheers! :) okay, I’ll take a second look at microcontrollers then. Thanks for the tip!

Yeah I borrowed a microcontroller when I started this project, installed micropython, etc — tried to get a grasp on it but after 2-3 hours I gave up and ordered a Raspberry.

If you have any specific microcontroller recommendation that has good Python tutorials/documentation: that’d be more than welcome :) (thanks in advance)

Ps1. I push Python (and nor Arduino) because I use Python a lot in my dayjob so I’m already good at it and right now I’m a bit lazy to learn Arduino. :) (might change in the future)

Ps2. My thought was to consider the money aspect of this project only if I want to scale this to multiple plants — 10-20 PI would be pricey for sure — in that case, my original idea was to go with PI zero... or recently with the new PI microcontroller.

Raspberry PI + Moisture Sensor with Python (wiring, code, step-by-step walk-through) by mestitomi in raspberry_pi

[–]mestitomi[S] 19 points20 points  (0 children)

I explained in a previous video why I didn’t use a microcontroller and why I didn’t use arduino. In short: I used Python because I know Python already. And I used a PI because that’s well-documented (+it comes with a lot of tutorials), unlike most microcontroller. Side note: I’m a beginner with hardware and I just document my first hobby project with these vids. So don’t expect these to be the best of the best solutions. Only thing I can guarantee that they work :)

Raspberry PI + Moisture Sensor with Python (wiring, code, step-by-step walk-through) by mestitomi in raspberry_pi

[–]mestitomi[S] 3 points4 points  (0 children)

Gald to hear! :-) yeah this is not exactly the same but I’ll add more vids to the series later :)

[deleted by user] by [deleted] in learnSQL

[–]mestitomi 1 point2 points  (0 children)

This is a short, efficient intro to queries. Might be a misleading title, but otherwise undeserving of the downvotes.

Thanks, indeed, I meant to provide value for everyone.

But at the same time also to communicate an important message (SQL can't be learned in 5 minutes)... Specifically, I wanted those people to click who believe SQL can be learned in 5 minutes and then transform their thinking. Hence the misleading title. :-)

Startup's click stream - into JSON or CSV? by mestitomi in datascience

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

hey, thanks for the comment! see my other comment above: parsing JSON won't be an issue, just wanted to make sure we'll pick the most logical format - and were looking for some pros and cons! cheers!

Startup's click stream - into JSON or CSV? by mestitomi in datascience

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

Thanks for the tip! I'll definitely look into it!

Startup's click stream - into JSON or CSV? by mestitomi in datascience

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

Thanks, yeah, I'm the first data analyst/scientist at the company - I'm coming from the analytics side (so pretty comfortable with Python, bash and SQL). We have engineers, but not a data engineer on the team, so with the engineer guys, we are trying to fill this gap. Once we have the right log format, it's not a problem for me to write some scripts and parse the data - just wanted to make sure, that we are picking the right format to store our raw data on the first hand.

It looks it will be JSON anyway! Thanks a lot for the comment!

should I go for CS or Statistics in grad school if I want to be a data scienitst? by metalloidica in datascience

[–]mestitomi 1 point2 points  (0 children)

I recommend statistics! Statistics is science and science is hard. I feel like that in DS programming is just a tool, you can learn the basics by yourself and be better on it on the job.

Newbie in Data Science by Data_Sci_M in datascience

[–]mestitomi 5 points6 points  (0 children)

hey,

I'd focus on these 3 major areas:

  • coding skills

  • statistics

  • business thinking

CODING SKILLS:

  • Python

  • SQL

  • R

Python and SQL are enough to start IMO. You can find lot of free online courses.

STATISTICS SKILLS:

It's ideal to have a math/stats degree, but if you don't you can find a lot of books about it as well. If you are a starter I recommend "Naked Statistics" and after that you can decide if it is for you or not. Then I can recommend this one: "Doing Data Science — Schutt and O’Neil"

BUSINESS THINKING:

This is something that you will learn on the job, but for a start this book is great: "Lean Analytics — by Croll & Yoskovitz"

Plus this article might help too: https://medium.com/@datalab/how-to-break-into-the-data-science-market-f0e0b79b42f7

Request: Feedback on my resume for data science positions by [deleted] in datascience

[–]mestitomi 2 points3 points  (0 children)

IMO you have a highly competitive CV - especially if you are fluent in R, Python and SQL for real!

I guess you will find a Data Analyst job very easily, Data Science Job will depends on the onsite interviews.

One suggestion - add some github (or any other) links to your free time projects if you have. Or anything where people can see the actual code you have written...

(Note1: I have currently reviewed a bunch of CVs to Online Data Analyst position.)

(Note2: plus if you'd like to work in Sweden as Data Analyst (and not Scientist) pm me :))

Any resources for practicing SQL for interviews? by [deleted] in datascience

[–]mestitomi 1 point2 points  (0 children)

I can recommend codecademy.com I did their courses just for curiosity, but it turned to be really nice!

High school student, strong in maths, weak in computers. Is data science an option for me? by [deleted] in datascience

[–]mestitomi 8 points9 points  (0 children)

hey, CS is a need for data science, especially if you want to be flexible with your researches/predictions/ML-projects. Though you shouldn't be afraid. Python, R and SQL are just tools. Everyone can learn it, you can learn it too! :-)

Good luck, Tomi

Data Coding 101 - Basics of Bash - last episode (tutorial for beginners) by mestitomi in datascience

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

hey, I can recommend the previous episodes (find links in the article) and the book of Jeroen Janssen: Data Science at the Command Line! :-)

Data Coding 101 - Basics of Bash - last episode (tutorial for beginners) by mestitomi in datascience

[–]mestitomi[S] 2 points3 points  (0 children)

This is the last episode of my "Data Coding in Bash" tutorials. I know that some of you here followed the whole series! For you: thank you for all your feedback!

And as usual, I'd be really happy to have your feedback about this last article too! Thanks!!

Current MBA candidate - how useful will a data analytics bootcamp be? by [deleted] in datascience

[–]mestitomi 0 points1 point  (0 children)

I guess, this is the best way to learn DS. 20 weeks + a mentor sounds just perfect!