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UNIT-7
ADVANCE PYTHON
(PRACTICAL)
As we have learnt the basics of Python in the previous class, this chapter will introduce additional concepts. We
will explore Anaconda and Jupyter Notebook.
Introduction to Anaconda
Anaconda was developed and is maintained by Peter Wang and Travis Oliphant, the founders of Anaconda, Inc.,
in 2012. It is a popular, free, and open-source distribution of Python and R available for Windows, Linux, and
macOS. Anaconda includes a Python interpreter and a vast collection of packages used in Data Science, Machine
Learning, and Deep Learning, simplifying package management and deployment. It provides a unified platform
for working across various AI domains by installing multiple packages through a single installation process.
Follow the given steps to download and install Anaconda:
Step 1 Visit the following link: https://www.anaconda.com/
Step 2 Click on the Free Download link.
Step 3 Enter your email address.
Step 4 Select the Agree to receive communication from Anaconda … checkbox.
Step 5 Click on the Submit button. An email is sent to your email address.
Step 6 Check your email account and open the received email.
Step 7 Click on the Download Now button.
The download page of the Anaconda displays on the Web browser.
Step 8 Select the version appropriate for your operating system: Windows, macOS, or Linux.
The process of downloading Anaconda will start.
Step 9 Double-click on the downloaded setup file.
The Anaconda 3 2024.10.1 Setup wizard opens with the Welcome page.
Step 10 Click on the Next button in the Welcome page.
The License Agreement page displays.
Step 11 Click on the I Agree button. The Select Installation Type page displays.
Step 12 Select the Just Me radio button and click on the Next button.
The Choose Install Location page displays.
Step 13 Specify the location to install the setup and click on the Next button. The Advanced Installation
Options page displays.
Step 14 Select the respective check boxes of the advanced installation options and click on the Install button.
Advance Python (Practical) 263

