git for Data Science Made Simple... (Hopefully)
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- เผยแพร่เมื่อ 23 ก.ค. 2024
- In this video I give a high level overview of git and github for data science. I talk about what git is, why it's important, and I also go through the general workflow of a data science project using git.
At the most basic level, git is a version control system. It also allows us to work on things simultaneously with our teammates without messing anything up. To be honest, it has revolutionized project management and process control.
Git lets us track our changes and revert back to previous versions as well.
Try watching these videos next!
5 Essential Data Science Projects for Your Portfolio: • 5 Essential Data Scien...
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Data Science Project From Scratch: • Data Science Project F...
Resources I used to learn git:
Free Pro Git Ebook: git-scm.com/book/en/v2
Image Credit:
www.edureka.co/blog/git-vs-gi...
www.nobledesktop.com/learn/gi...
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Thanks for watching everyone! I hope you git it now 😉
"Checkout" these videos next!
Data Science Project From Scratch Series (Git Used): th-cam.com/play/PL2zq7klxX5ASFejJj80ob9ZAnBHdz5O1t.html
5 Essential Data Science Projects for Your Portfolio: th-cam.com/video/BBDiadC8BvE/w-d-xo.html&ab_channel=KenJee
5 Unusual Data Science Projects That Will Land You A Job: th-cam.com/video/d6FeV8WXPWY/w-d-xo.html&ab_channel=KenJee
Resources I used to learn git:
Free Pro Git E-book: git-scm.com/book/en/v2
Image Credit:
www.edureka.co/blog/git-vs-github/
www.nobledesktop.com/learn/git/git-branches
the puns in the intro are a good measure of how familiar git is! I learned in my workplace how useful git can be for worklflows. I fully recommend it to everyone for projects.
It is so useful! Thanks for watching Tim!
great vid! I watched the MIT Git intro lesson about a month ago and it definitely overcomplicated things. I like how this sticks to what commands you are actually going to use
Thanks for watching Hunter! Glad it hit home!
Had experience with git before and immediately started laughing at your puns from the start 🤣
Glad you enjoyed them 😆
I was looking for something like this! Thanks Ken!!!
Thanks for watching hugo!
Awesome content as always, thanks for making it simple and straight to the point. It all makes sense now.
Oh by the way, your video quality is top notch, I just watched this on 2160p(4K) 🔥
Thanks for watching Josias! Glad you enjoyed the video quality 😀
Great to see you BRANCHing out with new types of content.
YESSSSS hahaha
Very clear and descriptive Ken!
Thanks! Hopefully my puns were bearable haha
Awesome video, love all the 3 puns (git, gist and commit), we git it now 😃
Thanks data professor! You should "checkout" the resources on git that I've shared lol
Best explanation of git I’ve ever watched.
Thanks Trevor! This is the best compliment I could get on the video!
Ohh!!! I was confused between git and Github, Obviously due to lack of knowledge but now the idea is clear. I will watch this video again while implementation it or when I will actually use git for storing projects. Also thank you for git resources...
Glad to hear that cleared things up!!!
I am from non programming background, I have already started learning about Git and Github commands. Hope this will help me in near future.
Awesome video Ken as usual! I really thought you would end saying "git good" learning Data Science 😂🤣 :P
Thanks for watching Thomas 😂
This was entertaining! Btw, I saw your name on the DS Go schedule tomorrow! I'm so excited to hear from you there! I'm that GA Data Science recent grad that's been stalking your channel lately :D
Thanks for watching! Excited to hear that you will be tuning into the panel tomorrow!
Definitely. You are one of the reasons I made it this far. I can't to hear you live Ken!
@@insigh01 :)
Haha, great video Ken!
Thanks Alex!!
Man I wish I had seen this sooner, definitely clears up so much. Although, now I realize I've never actually even worked on git locally and just do all my work(projects) on github, is that okay or should I learn how to use Git locally?
Also digging the music!
I think it really helps to do it locally on the command line! It is generally good practice, and hopefully not too hard to learn!
Your pun game is stronger than ever 😂
Awesome video as usual very helpful.👍
I had to step it up! Glad the video was helpful Chinmay!
Those puns had me rolling, please stop lol
Thanks for checking them out 😉
Big brain jokes right there 😂 , this video made everything really clear to me ! thank you Ken !
Glad you appreciate them haha! Thanks for watching!
Instead of replacing "master" with "main", "git" should just rebrand to "got" since Ken has just told its entire story
😂
I GIT IT NOW 😮
😉
Nice video...I have a question what os do you use in work environment like windows/linux/unix?
I mostly use windows (because I do a lot of video editing), I sometimes use linux though!
I'm familiar with git from a software development side. My question is for data science what do you add/track in your epo? Do you track the entire working tree so that output files dont need to be regenerated for each contributors (e.g. if you have slow running scripts). It do you only "add" the source data and scripts so that each person needs to run everything in their local copies?
Usually you just track the code versions and results of the models. Often, the data is too large to store on github! Depending on the company, the whole team can work of one sandbox environment so you don't have to worry about different data on different local environments. I hope that makes sense!
Thanks as always. what music are you using at 4:07?
I got it from the youtube free audio library! Will post here if I can find it haha
The puns in the intro though.
Couldn't help it lol
Thank you for the video, Ken! I am working on my own GitHub repository and I am at the moment working on Data Science projects thanks to your encouragement of #66daysofdata! I shall be completing Data Analysis, Machine Learning, Deep Learning, and Artificial Intelligence in a few months and I will be sharing them on GitHub as well. I wanted to thank you for your well-tailored, descriptive, and concise yet enriching videos as they are of incredible help and I use them as a road map to becoming a Data Scientist. With your guidance, I hope I end up getting a great job in the USA or Canada, and what I love more about is that you have been so interactive all along! Thank you once again Ken!
Thanks for the kind words about my content! Excited to have you as a part of the #66DaysOfData! and am looking forward to hearing about your employment journey :)
GitHub desktop is friendly and easy for the beginners like me. No need to memorize the command lines. Tend to forget it if not used often.
I haven't used it much. I should start exploring!
Puns are one of my favorite hobbies, second only to sarcasm ;)
Not third to git?
Hi Ken, who should be the one that merges the pull request? The person who made the pull quest or the person who reviewed the code?
Depends, in the past I have done it (person who made it after it was reviewed) or the person that I reported to
After merging all of these concepts with my brain, I'm going to fork your puns in my next video!
hahahaha
Hi, great video, some tips for the reader from what I learned from work:
1. I recommend to start including git in every project you do, I didn’t do that, but I wish i did. It helps like ken said with version control, and easier changes publishing instead of going online and going through a whole process, and also ur gonna use it at work for sure so might as well practice.
2. He’s using GitBash, idk if it was mentioned and I missed it but that’s the command line interface to use git. It’s also good cause it uses Bash so if u know Linux/Ubuntu it’s be easier to use. I use the same but there are others if you don’t want to start with a command line like VsCode, Atom, GitHub Desktop (although I recommend Bash).
3. use Git Status pretty much after every command because If ur in ur own branch, and want to switch to another one, all your work will be lost if not committed or stashed first.
(Git Stash is just what it sounds like, temporarily stashed or saves your changes to the side so u can do other work and then Pop later).
I didn't mention I was using git bash, good catch Ray! Great tips!
Can we git jupyter notebook? I just started learning DS and I only code from jupyter notebook, any recommendation?
Yep, you can put the jupyter notebook in a git repo!
Additionally, I would recommend using something like nbdime if you want to look at changes made in your notebooks.
Omg it is very helpful can you like make a tutorial for git hub 💯❤️
I can try to do one that is more in depth!
@@KenJee_ds yess that would be a great help thank you🙂💯
love the puns lol
Glad you enjoyed them :)
What would motivate you if you were a student who just started to learn data science? I am in this position now and i cant find anything to motivate myself. Thats a huge problem for some of us because the other problems like "where can i learn data science" has solutions everywhere. Hope you'll answer. Good content keep it up.
I have always used problems I've wanted to solve to motivate me. First I was trying to figure out how to improve my golf game, what statistics could I use? Next I wanted to make money with daily fantasy, what models could I build? I let the problems I was focused on dictate what I learned. I hope this helps!
Please also explain Git Bash to people who use Windows.
I do this a little bit in the project from scratch series, but I will try to make some additional content!
@@KenJee_ds I didn't even know what Git Bash was for a very long time.
I was wondering why commands didn't work on the C prompt.
What do you mean awful puns, I thought they were hilarious 🤣
😆
Cause puns are by default awful. Only nerds like us are enjoying them. XD
Thanks for you wink ;)
😆
lol the wink
😉
Did you leave out mentioning your own github repository on purpose?
Also, was it an oversite the not mention github's opensource community as a resource?
Nope, just forgot to include those! Thanks for the reminder!
To kill a mockingbird 👍
🐦
Literally awfull puns
I think you just don't git them 😂
Ha ha.... I laughed till death,If i try somehow I will understand quantam physics. But not git.
I just don't git it.
😂