Installation of Python

Installation

• Anaconda python is a free open source platform that allows us to write and execute code in the programming language python.

• Anaconda platform is a popular way to learn and use python for scientific computing, data science and machine learning.

• You do not need to install python separately when using Anaconda, as Anaconda comes with its own version of python.

• Anaconda helps to create an environment for many different versions of python and package versions.

Features of Anaconda

1. It is free and open source.

2. It has more than 1500 python packages.

3. It simplifies the package management and deployment.

4. It has tools that can be used to collect data from sources using machine learning and AI.

5. It has good community support.

6. The libraries like Dask, NumPy, Pandas and so on can be used to analyse data scalably and fast.

7. The data visualization is possible using Matplotlib.

Fig. 1.2.1 Anaconda platform

Installation Procedure

Step 1: Open the web site https://www.anaconda.com/download to download the Anaconda. Click on the download button. The corresponding .exe file gets downloaded.

Step 2: Click on this .exe file and click on Run button.

Step 3: The installation process will start. Click on Next button. Click on I Agree button on

License Agreement window.

Step 4: Following kind of pop‒window appears. Select Just me option. And then click the Next button.

Step 5:  On the next pop‒up window the default location at which the Anaconda will be installed is represented. Keep the default location and then click on Next button.

Then click on the install button by accepting the default options.

Step 6: On completing the installation following pop‒up window will appear

Click on Next button.

Finally click on Finish button. The Anaconda navigator will get launched.

What is Jupyter? Why do we need it?

• A Jupyter Notebook is an open source web application that allows data scientists to create and share documents that include live code, equations and other multimedia resources.

• Jupyter notebooks are used for all sorts of data science tasks such as Exploratory Data Analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning and deep learning.

• It supports more than 40 languages including Python, R and Scala.

• A notebook is a mutable file saved in ipynb format. Jupyter Notebook has a notebook dashboard to help users manage different notebooks.

• To launch Jupyter Notebook, open the Anaconda navigator and select Jupyter Notebook from the list of applications.

• Once Jupyter Notebook is open, we can create a new python file.

• Using Anaconda we can use Jupyter Notebook. This is an interactive computing environment that allows us to execute and test the python code.

• In order to make use of Jupyter Notebook, open Anaconda Navigator and click on Launch button under Jupyter Notebook.

and you will get the web page as follows ‒

The default website is localhost and the port number is 8888.

How to create a Notebook in Jupyter ?

Click on New button and select python 3.

A new window will be launched –

We can type the code in In[ ] and then hit Shift+Enter to get the output.

In[ ] : print(' welcome friends!!!! ')

The output will be displayed as follows. For getting the output hit Shift + Enter key.

In[1 ] : print(' welcome friends!!!! ')

          welcome friends!!!!

In[ ] :\

Another example

In[ 2] : 2+3

In[ 2 ] : 5

In[ ] :

How to write and execute a python file using Jupyter Notebook?

In this section we will discuss how to write and execute python script using Jupyter Notebook.

Step 1: Start the Jupyter Notebook. Here are the ways ‒

• Windows: go to Start menu‒> Anaconda3‒> Jupyter Notebook ‒> Launch.

• MacOS open the Terminal and type jupyter notebook, then press enter.

• Linux open a terminal and type jupyter notebook, then press Enter

Step 2: A tab in your default web browser (e.g., Chrome, Firefox, Safari) will open showing notebook dashboard (Jupyter Notebook's home page). We can see the list of the files and subdirectories in the directory on our machine where Anaconda is installed. It will look similar to the image below.

Click on New option

Select the folder option so that a new folder will be created.

A new folder with the default name will be created. Just check the small box left to it and Rename it by clicking the Rename option.

Enter some suitable name to your folder

Click the Rename button. The folder gets created.

Step 2: Now, open this newly created folder, click on New and select the Text file option.

Step 3: In a new tab Jupyter text file (By default untitled.txt) opens up. Here we can write our python program and save it with the filename and extension .py For example ‒

Click on untiled.txt(which appears at the top of Jupyter Notebook) to rename the file. I have saved this file as firstprogram.py.

Click on OK button. Then click on File‒>Save to save the current program.

Step 4: Close the tab. In the current tab, click on New‒> Python 3.

Issue the command import first program and then hit Shift + Enter key. The output of above code will be displayed as follows ‒

In [1]: import firstprogram

Welcome to Python Programming

Have a nice Day!!!

Note that to get the output after issuing any command we should press Shift+ Enter key. If we hit simply an enter key then simply a new line will be added.