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UNIT-7



                                                                    ADVANCE PYTHON

                                                                           (PRACTICAL)












                                  Learning Outcomes



                     •  Introduction to Anaconda                     •  Understanding Jupyter Notebook
                     •  What is a Virtual Environment?               •  Working with Jupyter Notebook
                     •  Introduction to Python                       •  Why Python for Artificial Intelligence?
                     •  Applications of Python                       •  Recap of Python Basics
                     •  Modules and Packages                         •  NumPy (Numerical Python)
                     •  Pandas (PANel DAta)                          •  Matplotlib
                     •  SciPy(Scientific Python)                     •  NLTK
                     •  OpenCV


                 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.





















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