LEARN PANDAS in about 10 minutes! A great python module for Data Science!
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- Опубліковано 8 лип 2024
- This python pandas tutorial is taken from the lectures.quantecon.org/py/ pandas tutorial.
Pandas is an excellent python module. It is designed for cleaning and analysing data. In this tutorial I show you how to use it.
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1. Exploratory Data Analysis with Python and Pandas - bit.ly/2QXMpxJ
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Data Science Interview Preparation
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For the links from the tutorial go to my facebook page.
/ 2022022968091206
Recommended books in my Amazon store www.amazon.com/shop/pythonpro...
This is just 10 minutes of him telling you to read the manual.
Eric Taylor the good habits are part of the teachings I guess
Teach a man to fish, instead of giving him a fish. I came here for the 10 minute overview...the rest of my time will be split between digging into the manual and writing code. But, I guess you're right: some people want to be spoon-fed...
@@thePronto this is more like just telling a man to go fish with a fishing rod. Not teaching him how to fish!!
@@vinea9322 that's Phishing
Teach a man to Phish
Tutorial starts at 3:16
very unhelpful comment
You seem like the kind of person who can teach someone something without making them feel stupid. Thanks for the video. It helped me with school:)
Thank you, glad it helped. It's only bad teachers that make you feel stupid. Good teachers make you realise you can learn anything. And you can.
ahh bts army ?
Not to make it weird but I absolutely adore you and your videos. I have learned so much!!
I fell in love with the channel after the first few seconds of this video! Excellent personality!
I’m just here for the, “ I watched a 10 minute video and I’m not an expert” comments. 🤣🤣🤣
Honestly I kind of like writing the code that cleans my data. It's very satisfying when I can build a nice sklearn pipeline that does everything I need. Sometimes that's not possible though. Or I'm not good enough.
Great job as always. Thanks for a brief explanation!
I've been using Pandas, Dask, SQL, and Scala for all sorts of data processing. Enjoyed the video cause I loved the relaxed and conversational manner in which you presented this tutorial. And I saw tea and nice lighting in the autoplay. Good stuff.
Thanks for the video, I found the info pretty interesting.
Keep up with the good work.
I love your quick and easy tutorials!! Clear sound quality too👍
Good explanation. Expecting more from you in Datascience and Python
Hi there, I clicked on the link at it says page not found
What benefits does Pandas have over tools like Tableau, SSRS/Power BI?
Thank you so much! Love your videos. I love panda, and always on the look out for more tutorials and projects to practise my panda skill.
Org Indo bukan?
@@MrBie bukan... Jiran
Thanks for the video...treat to watch
So easily explained and language is so simple and understanding.
Thanks Gill, for making excellent videos. Could you please tell where may I find the documentation?
Great video ! Thanka a lot!
Love your videos but was especially excited when I saw the inside of your tea cup. I'm guessing a one-handed backhand.
Short and sweet tutorial. Thanks
I have a suggestion - make a video describing how to use the documentation efficiently. I am a relatively new programmer, and it's a struggle for me to understand how to use methods and whatnot properly. An example would be the read_csv method and its associated documentation, shown at 8:04 in the video. Surely there must be a method to understand methods?
your tea kettle sounds just blew out my ear drums man gdi
great way to learn with the docs and tutorial. You get used to of the documentation and you can search for the relavate information in the docs
Thanks for this.. iloc was something I just couldn't figure out last night.. life easier again... and yea read documentation seems to ge a great idea :D
I really appreciate the intro - we definitely need to have more cozy atmosphere in programing tutorials
yesss
Very useful with the emphasis on documentation, thanks. Many instructions are far too action oriented, which triggers bad learning habits. Better read, think and do instead of beginning with doing - it saves you lots of time. (Also it saves lots of text book costs!)
As an Indian I am happy to find out that tutorialspoint website is user by foreigner as well.
random guy makes a playlist on pandas
derek banas makes one video that is 2 hour long
then comes this legend with a 10 min video
Love to see your channel grow!
Hello Sir, I am willing to become a data scientist and I am thinking of getting enrolled into one of the courses from different learning website such as Coursera,edx etc. I found Dataquest more interesting as compared to other side may I know is Dataquest is worth and if I follow data quest( data science) track where I will reach by end of the course ?
Hey, thank you for your effort. Great job.
great video! 30,000 foot overview with dips into code for the most popular features. can we get links to those articles you mentioned in the beginning?
Coming from R it seems the author of Pandas just translated the R data.frame to Python. I guess good for me. Don't have to learn much new ;)
great introductins. thanks
Any recommendations for online courses or methods to learn efficiently keras???
Thank you so much!!
Great video recording and editing
Thanks for the info 🙏🙌👍👌
more pandas videos please!
Please advise From where I can download this tutorial
Great. Sometime show how to roll up or aggregate with Pandas.
hey where do I learn how to clean REAL WORLD datasets online comprehensively?I am not interested in kaggle kinda stérile datasets.
Question. After I've downloaded the panda feature using " Anaconda", I want to uplaed CSV file to the pyton-panda program and can't. where is my problam? the CSV file should be under the same windows folder? and if so, what is this windows folder name?
Have you figured it out? You’ll need to change your directory or move your csv to your current directory.
Thanks for the video. It does point out where the VIPs are, saves my learning curve.
Can you please share a link where you have done these functions: .loc,.iloc,.drop,.append,.groupby?
I am struggling a bit with the syntax and use of arguements within those brackets. Thanks in advance :)
Most important take away from this video: RTFM!
Watching it in 2x so I learning it in 5 mins. Big brains
How did you open this pandas_tutorial .ipynb ?? Please help
Those cut scenes funny af. 😁
3:18 Action starts
The link above is broken??
Maybe taking out the super loud sound of your kettle will be great 🤣 with headphones on is disturbing 🤣 otherwise i love your videos 🥳👌🏻
is the quantecon link working?
I like the way he pronounce Chutorial. LOL...
Anyone counted how often he says something about reading the documentation? :P
What are your thoughts on the recent articles highlighting that there’s to many people trying to become data scientists?
I think that it's good for everyone to know at least the basics of data science. The same way that learning the fundamentals of language, math, physics, biology, history, philosophy and so on can help you better understand the world and its people 😊, learning the fundamentals of coding and data science can help you understand the logic behind using computers and machine learning.
Contrary to what many people think, I don't believe AI and automation will make us jobless. I think we'll have different jobs and data science will be one of the skills needed to do those jobs well. Plus, data science is fascinating. You could learn it just for the fun of it. 😊
Can you give the sources?
@@miguelcastillo1742 Do you mean resources for learning data science? If yes, Siraj Raval has a UA-cam video called "Learn data science in three months." In its description you'll find links to a good, doable plan for learning the basics of data science. It's a good start. 😊
@@BiancaAguglia I'm definitely learning it for fun. Currently working on a masters in computation analytics and love it. Just a little concerned about recent articles stating there's a glut of applicants. You're correct though these skills will still be valuable no matter what.
@@kevinayers7144 It can't be true because data scientist is the number 2 in demand/paying job for 2018, just after ML engineer. If 4th industrial revolution is real every single business has to learn DS and ML or be swept away by automated competition.
Hello! I am a beginner in data scientist so please tell me about the resource where I can learn eda to produce insights on the variables to prepare my data well.
I would love to follow along but facebook is banned in my country. Is there another way i can see those links?
So what you're saying is, I need to read the documentation.
I would call the video: What is pandas (for)? Not "learn it".
For learning it neede to go just a little deeper, more like the numpy version.
How/why does multiplying it by le3 = the same as multiplying by 1000?
@10:20
What a refreshingly good video! Was just at the right level, without irrelevant self-important waffle - or the almost omnipotent self-promoting a-la "Please smash the like button, hit the notification bell, subscribe for more content, it really helps my channel / it helps me able to create more videos [...]". IMHO an excellent 10 min intro, which has made me more excited about working with PANDAS.
Hi,
Is it possible to convert below the input
Customer_Name,Product_1,Price_1,Product_2,Price_2
Zayn,Milk,30,Chocolate,40
Peter,Cheese,190,Oil,80
Andrew,Coconut,10,Milk,60
Dwayne,Soya,100,Butter,120
to this output where the Product name should be ascending and it should also have its price in the next column
Customer_Name,Product_1,Price_1,Product_2,Price_2
Zayn,Chocolate,40,Milk,30
Peter,Cheese,190,Oil,80
Andrew,Coconut,10,Milk,60
Dwayne,Butter,120,Soya,100
Can you please help
Without context, it felt like listening to talks about pandas.
Is knowing differential equations important of data science
Joseph A , as with any question in such a broad field, the answer is “it depends”. Most likely, you will not use ordinary or partial differential equations in data science. However, if you are working with physical data, then you may. For instance, in pharmacology, having those tools as a basis for models is important. That said, there are far more applications of data science in which knowledge of systems of differential equations is not necessary.
If you’re interested, One Blue Three Brown has a series of very intuitive videos on differential equations as well as vector algebra.
thanks a lot
I hate tea! But I love Python. :)
You really need to equalise the sound level across the video. The 'other guy' sounds far away and echo-y.
maybe a lav mic or something
learning people how to fish not giving the fish directly, good job
Do I need a big knowledge in Data Science in order to learn ML or do I just need the fundamentals?
I am not an expert, but let me explain the little I know. ML is data science automated. When a company builds a ML product they automate what the data scientists have already done. So the the real design of the ML intelligence comes from the data scientist's work. The ML expert's job is automate that just like a programmer automates a spreadsheet that an accountant is preparing each month manually. At the end of the day a commercial ML product like Alexa has 3000 people working on it, and the MLE, DSE and SE designations start to blur fast into hundreds of different sub tasks. So it depends on where you want to get to. Entry level ML assistant in a team of 20 - basics only. Head engineer of ML at Amazon - super advanced.
It takes me for years to start learning Python because I always think it’s sth hard....
Oh cooking crack? Tea. It’s just Tea...
tutorial link doesn't work :(
where is the documentation???
The most of the logical one is that starting somewhere
to learn immediately..
Tabs please?..
what 's the website at 4:36?
at the documentation part
The only thing he failed to mention is that you have to read the documentation.
But why use pandas instead of just using Excel? Excel can perform similar calculations in same amount of time....
jump to 3:18 for tutorial !I LOVE LIKES
Haha you are one of a kind man, stay strange lol
I wanted to give a like but at the same time dislikes were at 68, so i had to contribute there.
Who thinks starting the title of their youtube video "Conquer Pandas" was a good idea.
Giles are you a prof? I don't mean disrespect, you remind me of my better profs
I paused this video to comment: Please stop with inserts of your hands on keyboard or a shot over the shoulder when you are talking business. I personally find it distracting. Of course just my opinion. Thank you for making so many useful videos, always appreciated.
Great video! Take a look at my Pandas tutorial if you want.
Jesus christ bless you 😊😊😊😊 from Egypt ❤❤❤❤
great video.. but LEARN in the video a bit too much innit?
safe your time. starts at 3:15
Oh shit, i came here looking to find out the animal
wenn es nur so einfach wäre
best
Turkish subtitles please
kind of a slap to the face when you don't provide the link to the jupyter file for those who learn better by following along through practice
his codes are too small in font size.i cant see his the codes clearly
3:24 😎😎
Good tutorial. But, the B-rolls are just .....
this "how to learn" is better much look at the documentation
Hey, you use DuckDuckGo