o Functions, Function Parameters
o Global variables, Variable scope and Returning Values
o Sorting, Alternate Keys
o Lambda Functions
o Sorting collections of collections, Sorting dictionaries

o Sorting lists in place, Errors and Exception Handling
o Handling multiple exceptions
o The standard exception hierarchy using Modules
o The Import statement, Module search path
o Package installation ways
o Module Aliases and Regular Expressions

o EJS Template Engine
o Create Website

o Create Numpy Arrays
o Data Type Object, dtype
o Numerical Operations on Numpy Arrays
o Changing the Dimensions of Arrays
o Python, Numpy and Probability
o Weighted Choices and Weighted Samples

o Creation of Synthetical Test Data
o Boolean Masking of Arrays
o Matrix Arithmetic
o Reading and Writing ndarrays

o Spines and Ticks
o Legends and Annotations
o Multiple Figures and Axes
o Histograms, Contour Plots
o Python Image Processing Techniques

o Pandas DataFrames
o Pandas Data Files
o Dealing with NaN
o Binning Data

o Multi-level indexing
o Data Visualization with Pandas and Python
o Python, Date and Time
o Python, Pandas and Timeseries
o Linear Combinations

o Basic functions
o Special functions
o Integration
o Optimization
o Interpolation
o Numerical Integration
o Image Manipulation

o Data Analytics real world case studies

o Clustering and Similarity: Retrieving Documents
o Recommending Products

o Deep Learning: Searching for Images
o Weather Forecasting analytics.
o Indian Premier League analytics.

o Introduction to OpenCV
o The Core Functionality (core module)
o Image Processing (imgproc module)
o High Level GUI and Media (highgui module)

o Image Input and Output (imgcodecs module)
o Video Input and Output (videoio module)
o Camera calibration and 3D reconstruction (calib3d module)

o Introduction of Face Technology
o Examples of Face Technology.