This is the first time I was able to grasp the add_subplot concept. I watched a few tutorials before this, and didn't really get it so I always just used 111. Now that I understand it, that's pretty important, but most instructors seem to brush over it. Thanks for taking the time to explain it. You are awesome bro!
This might be an idea for the future, yes, but at the moment we want to dive into the data analysis area step-by-step as the topic focus on the channel clearly is on web development at the moment.
I have watched your power Bi tutorials too and today I watched Matplotlib. And I tell u, I understood every bit of this. I request you to make an intermediate to semi pro level vdo on Matplotlib...I need it badly... Cuz I am getting stuck big time when it comes to showcasing my analysis graphically....for example I wanted to show a graph which has topN countries wrt #suicides .. I am am chained since I have very limited knowledge of this python package Pls 🙏 keep this request, as I know, only from u I can teach this or else life is hard
We have one already ;) => www.udemy.com/learn-python-by-building-a-blockchain-cryptocurrency/?couponCode=ACAD_M But if you mean a more "data" related one, this is something we might think about for the future, but we'll see.
I couldn't read the code because you have a bunch of wasted space on your screen. why, for god's sake do i have to see your face while you are commenting.
This is the first time I was able to grasp the add_subplot concept. I watched a few tutorials before this, and didn't really get it so I always just used 111. Now that I understand it, that's pretty important, but most instructors seem to brush over it. Thanks for taking the time to explain it. You are awesome bro!
YOU are awesome Nick, thanks a lot for your comment and your great feedback!
You're a life saver, the online course I'm taking right now breezed over half of this
Great job. The Matplotlib concepts were explained very clearly. This is what I was looking for.
great video for the beginners. Thanks, it cleared several questions of mine.
This is a great basic introduction, thanks best option I could find.
Thanks a lot - im just 13 but people like you make it so much easier - can u make a series like a code camp for free
your awesome !!keep studying !!!
Thanks so much! This was very clear and easy to follow. I appreciate your work!
Top notch video to get started on Matplotlib, thank you very much!
Wow, thanks a million for your fantastic feedback!
Thank you for your videos! May you answer my question please. Why we need jupyter notebook if we can use every code redactor for such kind of work?
Hey man which you use python release.Teşekkür ederim :)
Subbed, you are a great teacher.
Very well explained. Thank you brother. best Matplotlib tutorial video by far.
Thank you sooo much for this video !
thanks! great tutorial!
Thank you sir. This is just what I needed!
Thank you so much!
Very helpful!
Very helpful sir
Fantastic. Thanks!
Thank you , so nice video and very good explained
Well done video!
Great video from Academind. Thanks a lot.
Thank you, happy to read that :)
It helped me a lot. Thank you!!!
Happy to read that Luana, thank you!
Awesome job, thank you!
Thank you for this great tutorial
Awesome to read that you like it Ibrahima, thank you very much for your comment!
I dont get a plot help
Great Video! Very Helpful!
Thanks, I'm happy to hear it was helpful!
Are you guys planning on a machine learning course? If so that would be great, as your coverage of topics is really comprehensive
This might be an idea for the future, yes, but at the moment we want to dive into the data analysis area step-by-step as the topic focus on the channel clearly is on web development at the moment.
very good vid
welcome to my channel , Python and R playlists.
super guru ..thanks
Thank you so much sir...
Very well crafted video.
Thank you very much Prabesh!
It's useful. Thanks.
very good nicely explained video, thank you
Thank you Hriday!
Awesome thanks!
Thanks a lot!
I have watched your power Bi tutorials too and today I watched Matplotlib. And I tell u, I understood every bit of this. I request you to make an intermediate to semi pro level vdo on Matplotlib...I need it badly... Cuz I am getting stuck big time when it comes to showcasing my analysis graphically....for example I wanted to show a graph which has topN countries wrt #suicides .. I am am chained since I have very limited knowledge of this python package
Pls 🙏 keep this request, as I know, only from u I can teach this or else life is hard
Thank you. Make video on covariance, linear regression and correlation coefficient.
how to display figure on webpage
I get an error when trying to install matplotlib: No module named 'PIL'
how do i can see the in-built dropdown as you saw for fig_1.add_subplot() reply please
After typing in the dot (.), hit tab
Thank you!!
please add courses on Machine learning and AI and you would be pulling all the audiences from courseera and edX for sure...
super tutorials
is it possible to run it on the terminal?
Yes
thanks a lot :)
Think you!
Thank YOU for your support Shubham!
I keep getting a "No module named 'matplotlib'" error?
you have to install it. Use anaconda, it's just a bunch of regular packages in data science.
we need a Python course
We have one already ;) => www.udemy.com/learn-python-by-building-a-blockchain-cryptocurrency/?couponCode=ACAD_M
But if you mean a more "data" related one, this is something we might think about for the future, but we'll see.
how to use autocompletion feature in python notebook ??
Please suggest me.
yay thank you
👏👏💪
You lost me at "need a jupiter notebook." I write and execute code from the cmd line. So this isn't useful for me.
cringe
Rodriguez Sarah Hernandez Linda White Eric
ITS PYTHON NOT PYTHIN.
Thanks for the hint, I still hope that the actual content of the video is helpful.
matplotlib is a terrible library.
And are there any alternatives?
I couldn't read the code because you have a bunch of wasted space on your screen. why, for god's sake do i have to see your face while you are commenting.
Thank you!