Jupyter Notebook Tutorial / Ipython Notebook Tutorial

This tutorial will go over,
1) What is jupyter or ipython notebook?
2) Installation of jupyter notebook
3) Build first notebook using python pandas
4) Cover markdown and embedding video links
5) Plotting chart using matplotlib
6) What is line magic and cell magic and how to use them
7) Export notebook as py and html file

[dishantkumbhar]

U r the first who created data science playlist, which makes sense and required by companies.
I loved ur tutorial from the first min. Of playlist.

Thank you so much from bottom of my heart ❤️

[sejalanand]

I have seen %matplotlib inline a several times but this is the first time someone has shown the difference between what happens when you use it and when you don't. That is what beginners need. Thanks a lot! Looking forward to learn a lot.

[DaKLang]

Amazing tutorial! Normally I need to watch several videos to get the full understanding of something like this. I especially like how you simply explain the feature, show it, then move on. Most training videos drone on for far too long on simple things.

[sibusisomoyo]

Nice and concise!! Love it :) Keep up the good work.

[bhawin]

Short and simple to understand.
Great job .

[kevinzhang]

Very clear and excellent example for the starter ... Thank you!

[khansaluqman]

Thank You very much. Getting to learn a lot from your videos. Amazing job!!!

[mchandresh]

you explain it beautifully with utmost ease. thank you! i would recommend my python noob buddies to check this out.

[DiegoAndresAlvarezMarin]

So easy! Great tutorial. Greetings from Colombia!!

[harshalkaushik]

Thanks for an easy explanation. Waiting for the next part of this..

[FoamyDave]

If you are using the latest version of Python 3 (I'm using Python 3.6 via Anaconda) the pandas.io.data has been deprecated and Google Finance API has become unreliable. As a result,
from pandas_datareader import data as web
df = web.DataReader('AAPL', 'google', '2016/1/1', '2017/1/1')
no longer works. Use the following
from pandas_datareader import data as web
from datetime import date
df = web.DataReader('S', 'morningstar', date(date.today().year, 1, 1), date.today())
df.tail()
before the above will work you will need to install DataReader in Python
pip install pandas-datareader

[HomelessOnline]

Great tutorial, it definitely got me started! Unfortunately, I can't get the datareader to work.

[ranjanjinka]

Easy to understand for a beginner :) Thanks a lot! Please keep uploading more videos like this

[DanielWeikert]

Great Tutorial, thanks a lot! Could you extend that further? I guess there are a lot more options which are quite helpful.

[sivaprasadpandeti]

It's awesome. Thanks for creating this video and sharing.

[BhanuPrakash-bugi]

Thankyou for the tutorial and wonderful explanation...

[Dan-rnxm]

Thanks for this tutorial. What cmd prompt are you using with the '$' symbol? Is this DOS? I get a c prompt not the dollar sign.

[vinodkumarreddy]

Thank u so much for the video.. Here I can start quickly using jupyter notebook...

[naveenm]

I want to create a 3D figure(cube) from python and the dimensions of the cube should be imported from excel file or any other csv file. That imported values should be used to create the 3d figure. Please tell me how to do

[SandeepChaudhary-vxzy]

I must the way you explanation is at top notch