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Introduction to Python

Goal:Give a brief idea of what Python is and touch on the basics.
Learning Objectives: At the end of this Module, you should be able to:
  • Define Python
  • Understand the need for Programming
  • Know why to choose Python over other languages
  • Setup Python environment
  • Understand Various Python concepts – Variables, Data Types Operators, Conditional Statements and Loops
  • Illustrate String formatting
  • Understand Command Line Parameters and Flow control

 

Topics:
  • Overview of Python
  • Companies using Python
  • Other applications in which Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments
  • Writing to the screen

 

Hands-on/Demo:
  • Creating “Hello World” code
  • Variables
  • Demonstrating Conditional Statements
  • Demonstrating Loops

Sequences and File Operations

Goal:Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files.
Learning Objectives: At the end of this Module, you should be able to:
  • Understand Operations performed on Files
  • Learn what Sequences are
  • Execute Sequence Operations
  • Understand Types of Sequences in Python: Lists, Tuples, Strings, Sets, Dictionaries

 

Topics:
  • Python files I/O Functions
  • Lists and related operations
  • Tuples and related operations
  • Strings and related operations
  • Sets and related operations
  • Dictionaries and related operations

 

Hands-on/Demo:
  • Tuple – properties, related operations, compared with a list
  • List – properties, related operations
  • Dictionary – properties, related operations
  • Set – properties, related operations

Deep Dive – Functions and OOPs

Goal: In this Module, you will learn how to create user-defined functions and different Object Oriented Concepts like Inheritance, Polymorphism, Overloading etc.
Learning Objectives: At the end of this Module, you should be able to:
  • Define and call Functions
  • Understand why the return statement is used
  • Understand and execute Object-Oriented Concepts

 

Topics:
  • Functions
  • Function Parameters
  • Global variables
  • Variable scope and Returning Values
  • Lambda Functions
  • Object-Oriented Concepts

 

Hands-on/Demo:
  • Functions – syntax, arguments, keyword arguments, return values
  • Lambda – features, syntax, options, compared with the functions
Goal: In this Module, you will learn how to create generic python scripts, how to address errors/exceptions in code and finally how to extract/filter content using regex.
Learning Objectives: At the end of this Module, you should be able to:
  • Use Standard Libraries
  • Use Modules
  • Understand Exception Handling
  • Create User Defined Exceptions

 

Topics:
  • Standard Libraries
  • Modules Used in Python (OS, Sys, Date and Time etc.)
  • The Import statements
  • Module search path
  • Package installation ways
  • Errors and Exception Handling
  • Handling multiple exceptions

 

Hands-on/Demo:
  • Errors and exceptions – types of issues, remediation
  • Packages and module – modules, import options, sys path

Introduction to NumPy & Pandas

Goal: This Module helps you get familiar with the basics of statistics, different types of measures and probability distributions, and the supporting libraries in Python that assist in these operations.
Learning Objectives: At the end of this Module, you should be able to:
  • Create arrays using NumPy
  • Use NumPy to perform mathematical operations on arrays
  • Read and write data from text/CSV files into arrays and vice-versa
  • Understand Pandas and employ it for data manipulation
  • Understand and use the data structures available in Pandas
  • Read and write data between files and programs

 

Topics:
  • NumPy – arrays
  • Operations on arrays
  • Indexing slicing and iterating
  • Reading and writing arrays on files
  • Pandas – data structures & index operations
  • Reading and Writing data from Excel/CSV formats into Pandas

 

Hands-on/Demo:
  • NumPy library- Installation, Creating NumPy array, operations performed on NumPy array
  • Pandas library- Installation, creating series and data frames, Importing and exporting data

Data Visualisation

Goal: In this Module, you will learn in detail about data visualization.
Learning Objectives: At the end of this Module, you should be able to:
  • Create simple plots like scatter plot, histogram, bar graph, pie chart using Matplotlib
  • Add different styles to the plot
  • Use the different forms of plots available in Matplotlib

 

Topics:
  • matplotlib library
  • Grids, axes, plots
  • Markers, colours, fonts and styling
  • Types of plots – bar graphs, pie charts, histograms
  • Contour plots

 

Hands-on/Demo:
  • Matplotlib – Installation, Using Scatterplot, histogram, bar graph, pie chart to show information, Styling of Plot

Data Manipulation

Goal: Through this Module, you will understand in detail about Data Manipulation.
Learning Objectives: At the end of this Module, you should be able to:
  • Perform function manipulations on Data objects
  • Perform Concatenation, Merging and Joining on DataFrames
  • Iterate through DataFrames
  • Explore Datasets and extract insights from it

 

Topics:
  • Basic Functionalities of a data object
  • Merging of Data objects
  • Concatenation of data objects
  • Types of Joins on data objects
  • Exploring a Dataset
  • Analyzing a dataset

 

Hands-on/Demo:
  • Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

GUI Programming

This module is a combination of Live Instructor-Led Training and Self-paced learning. 
Goal: In this module, you will learn GUI programming using ipywidgets package.
Learning Objectives: After completing this module, you should be able to:
  • Learn ipywidgets package
  • Understand different widgets like Numeric Widgets, Boolean Widgets, Selection Widgets, String Widgets, Date Picker, Color Picker and Container Widgets
  • Create an application using ipywidgets package

 

Topics:
  • Ipywidgets package
  • Numeric Widgets
  • Boolean Widgets
  • Selection Widgets
  • String Widgets
  • Date Picker
  • Color Picker
  • Container Widgets
  • Creating a GUI Application

 

Hands-on/Demo:
  • Create GUI

Self-paced Concept:
 Network Programming and Multithreading
Goal: In this module, you will learn how to connect your server with MySQL DB. In addition, learn about Socket programming.
Learning Objectives: After completing this module, you should be able to:
  • Understand the concept of Database
  • Access MySQL DB
  • Create socket for sending short messages
  • Learn Multithreading concepts

 

Topics:
  • MySQL DB access
  • Network programming
  • Multithreading

 

Hands-on/Demo:
  • Database Creation
  • CRUD Operations
  • Network Creation
  • Multithreading

Developing Web Maps and Representing information using Plots (Self-paced)

This module is Self Paced 
Goal: Throughout this Module, you will be designing Python Applications.
Learning Objectives: At the end of this Module, you should be able to:
  • Design a Web Map using Folium and Pandas for displaying Volcanoes in USA and Population in different countries in a Single map Represent information from Dataset with the help of Plots

 

Topics:
  • Use of Folium Library
  • Use of Pandas Library
  • Flowchart of Web Map application
  • Developing Web Map using Folium and Pandas
  • Reading information from Dataset and represent it using Plots

Computer vision using OpenCV and Visualisation using Bokeh (Self-paced)

This module is Self Paced 
Goal:Throughout this Module, you will be designing Python Applications.
Learning Objectives: At the end of this Module, you should be able to:
  • Perform Web Scraping using Python
  • Visualise Data on the browser using Bokeh
  • Use OpenCV to create a motion detection software

 

Topics:
  • Beautiful Soup Library
  • Requests Library
  • Scrap all hyperlinks from a webpage, using Beautiful Soup & Requests
  • Plotting charts using Bokeh
  • Plotting scatterplots using Bokeh
  • Image Editing using OpenCV
  • Face detection using OpenCV
  • Motion Detection and Capturing Video

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