View source for Python-for-Machine-Learning/C2/Setup-Python-environment-for-Machine-Learning/English



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|| '''Visual Cue'''
|| '''Narration'''
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|| Show Slide

|| Welcome to the Spoken Tutorial on '''Setup Python Environment for Machine Learning'''.
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|| Show slide: 

'''Learning Objectives'''
|| In this tutorial, we will learn how to
* Install '''Miniconda Distribution ''' in ''' Linux'''
* Create a Machine Learning environment
* Install necessary '''Python''' libraries required for Machine Learning

We will also learn about,
* Installing '''Jupyter Notebook'''
* Basics of '''Jupyter Notebook'''

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|| Show slide: 

'''System Requirements'''
|| To record this tutorial, I am using
* '''Ubuntu Linux OS''' version 24.04

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'''Prerequisite'''
|| To follow this tutorial,
* The learner must have basic knowledge of using '''Linux Terminal and Python'''
* For pre-requisite '''Linux''' and '''Python''' tutorials, please visit this website.

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'''Code files'''
||
* The files used in this tutorial are provided in the '''Code files''' link.
* Please download and extract the files.
* Make a copy and then use them while practicing.

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|| Only narration
|| Let’s see how to install '''Miniconda Distribution '''in Linux.
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|| Go to the '''Downloads''' folder.
|| I have the necessary files required for this tutorial in the '''Downloads''' folder.

These are available in the code files link of this tutorial.
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|| Point to the '''Miniconda_installation.txt''' file
Point to the '''MLpackages.txt''' file

Open the file
|| I have created a '''Miniconda_installation.txt '''file, which has the command to install '''Miniconda'''.

I have also created '''MLpackages.txt '''file.

This file contains the libraries used in the Python for Machine Learning series.
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|| '''Press Ctrl, Alt and T keys'''

Type '''cd Downloads'''

Press '''Enter'''
|| Open the terminal window by pressing&nbsp;'''Ctrl, Alt ''' and''' T keys'''&nbsp;together.

Type '''cd space Downloads''' to navigate to the '''Downloads''' folder and press '''Enter.'''

Remember to press the '''Enter''' key after each command in the terminal.
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|| Type '''cat Miniconda_installation.txt'''

Highlight:

Press '''Right Click '''>> Select '''Copy'''

Press '''Right Click '''>> Select '''Paste'''
|| Type '''cat space Miniconda underscore installation dot txt ''' to display the contents in the file.

Select this entire command.


Press '''Right Click ''' on the terminal and select '''"Copy"''' from the context menu.

Now, press '''Right Click '''on the terminal and select '''"Paste"''' from the context menu.
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|| Press '''Enter'''
|| Press '''Enter '''to execute the command.
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|| Only narration

Type: '''bash Miniconda3-latest-Linux-x86_64.sh'''

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|| Highlight: '''Welcome to Miniconda3'''

Press '''Enter'''

Hold the '''Enter'''
|| You will see the line '''Welcome to Miniconda3.'''

Press '''Enter'''

Hold the '''Enter key '''until you see '''Please answer 'yes' or 'no':' '''on the terminal.
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|| Highlight:

'''Please answer 'yes' or 'no':''''

Type '''Yes '''and '''Enter'''

|| When you see the prompt to proceed, type '''yes '''and''' Enter'''.
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|| Highlight: '''Miniconda3 will now be installed into this location:'''

Type '''yes''' and '''Enter'''

Highlight: '''Thank you for installing Miniconda3!'''
|| Press '''Enter''' to execute the command.

Then type '''yes''' and '''Enter'''.

We have successfully installed the '''Miniconda'''.
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|| Only narration
|| Now, close the terminal to incorporate the installation process and get completed.
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|| '''Press Ctrl, Alt and T keys'''

Highlight: '''(base)'''
|| Now, once again open the terminal.

The word '''‘base’''' in the command prompt shows that we have installed '''Miniconda '''successfully.
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|| Only narration

Type: '''conda config --set auto_activate_base false'''

|| If we don’t want to get the '''(base) '''environment in the terminal as a default

Type the command.

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|| Type: '''conda create --name ml python=3.9'''

Press '''y '''and '''Enter'''
|| Let us create a '''python''' environment for '''Machine Learning.'''

Now type '''conda space create space Hyphen Hyphen name space ml space python equal to 3.9'''

Press '''y '''and''' Enter '''to Proceed further.
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|| Type: '''conda activate ml'''

Highlight: '''(ml)'''
|| Type '''conda space activate space ml '''to activate the '''Machine Learning''' environment.

'''ml''' shows that our machine learning environment is activated.
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|| Only narration

Type'''&nbsp;cd Downloads'''
|| Let us&nbsp;'''install&nbsp;'''the '''python''' libraries required for this Python for Machine Learning series.

Go to the '''Downloads '''directory by typing '''cd space Downloads.'''
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|| Type&nbsp;'''pip install -r MLpackages.txt'''.
|| Now type, '''pip space install space hyphen r space MLpackages dot txt'''.

This will install all the necessary libraries.
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|| Type: '''conda install jupyter'''

Press '''y '''and '''Enter'''
|| Then type '''conda space install space jupyter''' to install the''' Jupyter Notebook.'''

Press '''y ''' and''' Enter '''to Proceed.
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|| Type: '''conda install nb_conda_kernels'''

Press '''y '''and '''Enter'''
|| Type '''conda space install space nb underscore conda underscore kernels''' to install the '''conda kernels'''.

Press '''y '''and '''Enter '''to proceed.
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|| Only narration
|| As we can see the commands get executed successfully.

Our '''Python''' setup and installation of '''Jupyter Notebook''' is completed.

Now, let us look at the basics of '''Jupyter Notebook.'''
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|| Type '''jupyter notebook'''

Press '''Enter '''
|| Let us open the '''Jupyter Notebook.'''

Type, '''jupyter space notebook.'''

Press''' Enter.'''

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|| Show Jupyter Notebook Home page:

Click '''New'''

Go to '''New''' >> '''Python [conda env:ml]'''
|| We see the '''Jupyter Notebook''' Home page.

To create a new '''Jupyter Notebook, '''click on the button '''New '''in the top right corner.

Select '''Python [conda env:ml] '''from the list.
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|| Only narration
|| The '''Untitled.ipynb''' file gets opened.

So, let us first change the '''Jupyter Notebook''' file name.
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|| Click '''Untitled'''
Show '''Rename Notebook'''

Click '''Rename'''
|| Click on '''Untitled.'''

You can see the '''Rename Notebook '''option.

Enter “'''Sample'''” and click on the '''Rename''' button.
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|| Only narration

Type '''print(‘Hello World’)'''

Press '''Shift + Enter'''

Highlight: '''Hello world'''
|| Let us start with executing a python code in the Jupyter Notebook cell.

Click onto the first cell and Press '''Enter.'''

Now, Type print within parentheses within quotes Hello World.

Press '''Shift + Enter ''' to execute the cell and create a new cell

We get the output as '''Hello world.'''
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|| Only narration

Type '''import pandas as pd'''

Press '''Shift + Enter'''
|| Let us see how to import the '''Wine.csv''' dataset and display the first five rows.

For that we will first import the '''pandas''' library.

Type '''import space pandas space as space pd'''

Press '''Shift + Enter '''to execute the cell and create a new cell.
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|| Type '''df=pd.read_csv('/home/karthik-sankhar/Downloads/Wine.csv')'''

Press '''Shift + Enter'''

Type '''df.head()'''

Press '''Shift + Enter'''
|| Type '''df equals pd dot read underscore csv open parenthesis Wine.csv'''.

Press '''Shift + Enter'''.

Type '''df dot head parentheses.'''

Press '''Shift + Enter '''to execute the cell.

It will display the first five rows from '''Wine.csv'''
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|| Only narration 

Press '''Ctrl + S'''
|| Now let us see how to save the Jupyter Notebook.

Press '''Ctrl + S ''' to save the changes.
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|| Only narration

Go to '''File''' >> Click '''Close and Halt'''
|| To close the Jupyter Notebook file

Go to '''File''' and Click '''Close and Shutdown Notebook.'''
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|| Type '''conda deactivate '''

'''Patch video n audio'''
|| Go back to the terminal window.

To deactivate an active environment 

Press Ctrl and c keys together.

Type y to proceed.

Then, type ''' conda deactivate'''.

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|| Only narration
|| Please refer to the Installation sheet of this series for “'''Setup Python Environment for Machine Learning in Windows 11.”'''
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'''Summary'''

|| In this tutorial, we have learnt to
* Install '''Miniconda Distribution '''in''' Linux.'''
* Create a Machine Learning environment
* Install necessary '''Python''' libraries required for Machine Learning.

We have also learnt about
* Install '''Jupyter Notebook'''
* Basics of '''Jupyter Notebook'''

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'''FOSSEE Forum'''
|| For any general or technical questions on '''Python for Machine Learning''', visit the''' FOSSEE forum''' and post your questions.
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'''Thank You'''
|| This is Anvita Thadavoose Manjummel, from 

FOSSEE Summer Fellowship 2025, IIT Bombay signing off.

Thanks for joining.
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