ML Class 07: Installing Jupyter Notebook

Nafees AI Lab

Jupyter Notebook is a web application that allows users to create and share documents containing live code, equations, text, and visualizations. It's particularly popular in data science, scientific computing, and machine learning for its ability to combine code, narrative, and output in a single, shareable document.

Transcript

00:00So you can see that we have some tools for which we need to install.

00:07So we have this command run and install.

00:11Now we have this tool to install.

00:12Condor has said that these libraries can be need to install.

00:15So we have this libraries can install.

00:18So we have this library and tools installed.

00:22Condor has said that you can activate this environment.

00:26We have all the dependencies with your environment set up.

00:31So we have to activate and deactivate.

00:34So now we have to activate it.

00:36We have to activate it and install it.

00:39So we have to activate it.

00:42Condor has said that you can install it.

00:48I can say what am I going to install?

00:49Then we have to install the Jupyter.

00:56Now the Jupyter is the package inside.

00:59It is the package inside it.

01:04The code we have to do here.

01:07Jupyter notebook inside it we have code in it.

01:09Jupyter notebook inside it will come.

01:10Jupyter notebook inside it is the package.

01:12So Jupyter package is the package.

01:14I will say yes. Same procedure which was followed by the library.

01:20I will say yes.

01:23I will say yes.

01:25I will say yes.

01:27I will say yes.

01:31I will say yes.

01:34We will say yes.

01:36We will say yes.

01:41So, this installation complete.

01:43Now, Jupyter Notebook run for your simple Jupyter Notebook.

01:51Very simple.

01:52Enter.

01:53So, this is Jupyter Notebook.

01:55If you look here, I will say yes.

02:00So, if you look here, I will say yes.

02:02So, Jupyter Notebook environment has our own.

02:05Create and run.

02:07Okay.

02:08Okay.

02:09So, now let's check that the library or tools have installed.

02:16They are functional or not.

02:18First of all, you have to have a corner here.

02:20Here is new.

02:21Here is Python 3.

02:23So, we will have time for you.

02:25Python 3.

02:26This is the whole setup.

02:28This whole setup is explained.

02:30So, here are the templates of the library on the our own.

02:40I will say yes.

02:41Yeah.

02:42I will say yes.

02:43Okay.

02:44Okay.

02:45Okay.

02:46We will say, yes.

02:48You.

02:49I will say yes.

02:50Yeah.

02:51How are you trying to make sure?

02:52How are you doing?

02:53Yes.

02:54That's great.

02:55Okay.

02:56Let's take a moment.

02:58It will be printed. However, if you have a markup to do it, then markup basically

03:02just for you. The cell will be simple text to convert.

03:08So, in this case, we will be able to do it. But first of all, our job is to do it.

03:14Libraries have installed. Now, how do we check the libraries?

03:18We can do it. We can do it. We can do it. If we do it, we can do it.

03:22If we do it, we can do it. If we do it, if we do it, we can do it.

03:26If we do it, we can remove data. We can

03:40do it. If we do it, we can delete data.

03:43import that don't know by ticket is case of the home import get the hair matplot

03:49live matplot lib tiga or is case are dot by plot tia by plot spelling a car like

03:59now me execute card then sorry internet then or our possible library

04:03again import SK learn which are you my execute card to hopefully there is no

04:10error and you see there is no error and we're good to go

04:12now of course this is key to see you make it is key different component

04:18which is why we have next lectures we're going to have here is code save

04:22and if you can go back to terminal then here is control c press this is basically

04:28shut down here is shutting down kernel so this kernel is basically kernel

04:33is run now jupiter notebook background now close

04:37हो गया है इसलिए connection यहां पर देखिए fail हो गया है ठीक है

04:42Colonel by the way अगर आप curious है तो Colonel वो एक intermediary layer होती है

04:47जो के हमारे जो उसको connect करती है machine के साथ जो के processor है उसके

04:52साथ तो उसको कहते हैं वो close हो गया हो है क्योंकि अब वो connection हमने

04:56बंद कर दिया ठीक है तो यह देखिए connection अभी भी थोड़ा से time ले रहा है तो let's give

05:00him some time बलके इसको close कर देते हैं मैं कहता हूं okay and now it's close

05:06just leave this out वापस आते हैं and हमारे पास जो है

05:14तो we are back in our environment यहां पर आपको यह नजर आ रहा है अब हम इसको deactivate

05:19कर सकते हैं using conda deactivate command और यह हमने पहले भी देखी थी इंटर

05:26करते हैं तो यह बेस पे वापस आ इंटर करते हैं तो यह बेस पे वापस आ गया ठीक है और

05:31अफकोर्स अगर आपने इसको दुबारा activate करना हो तो आप activate लिके फाइल पात देते हैं जो

05:36कि हमारा फाइल पात है जो कि यहां पर आपको यह command नजर आ रही है यह देखिए यह

05:44command हमने पहले भी यूज की थी यहां से अगर आप इसको दुबारा activate करना चाहते हैं तो आप नीचे आ कि यहां पर इसको लिखेंगे

05:50quanda activate run किया यह activate हो गया दुबारा deactivate करने के लिए अपना

05:55quanda deactivate अपको क्यों पेश आएगी उसकी रीजन यह है कि यह तो एक प्रॉजेक्ट था और यह जो हमने framework देखा

06:04quanda install किया libraries इंस्टाल किया यूपिटर notebook इंस्टाल किया यह जो सारा था यह basically one time step था अगर आपने नया project create करना है तो आपने simple framework follow करना है जो कि हमने अभी follow किया है इस lecture के अंदर

06:22of course conda mini conda आपको बार बार install नहीं करना पड़ेगा लेकिन यह जो tools हैं हर नए project लिए आपको दुबारा install करने पड़ेंगे तो यहाँ पर इस lecture को close करना है

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