Curriculums

• Introduction to Python

  Learning Objectives: You will get a brief idea of what Python is and touch on the basics.

  Topics:
  • Overview of Python
  • The Companies using Python
  • Different Applications where Python is used
  • Discuss Python Scripts on UNIX/Windows
  • Values, Types, 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

  Skills:
  • Fundamentals of Python programming

• Sequences and File Operations

  Learning Objective: Perform operations on Files and learn different types of sequence structures, their usage, and execute sequence operations.

  Topics:
  • Method of Accepting User Input and eval Function
  • Python – Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations
  Hands-On:
  • File Handling
  • Tuple – Properties, Related Operations
  • List – Properties, Related Operations
  • Dictionary – Properties, Related Operations
  • Set – Properties, Related Operations
  • String – Properties, Related Operations

• Deep Dive – Functions and OOPs

  Learning Objective: Learn about different types of Functions and various Object-Oriented concepts such as Abstraction, Inheritance, Polymorphism, Overloading, Constructor, and so on.

  Topics:
  • User-Defined Functions
  • Concept of Return Statement
  • Concept of __name__=” __main__”
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study
  Hands-On:
  • Functions – Syntax, Arguments, Keyword Arguments, and Return Values
  • Lambda – Features, Syntax, Options
  • Built-In Functions
  • Python Object-Oriented Concepts Applications
  • Python Object-Oriented Core Principles and Its Applications
  • Inheritance Case Study

• Working with Modules and Handling Exceptions

  Learning Objective: Learn how to create generic python scripts, address errors/exceptions in code, and extract/filter content using regex.

  Topics:
  • Standard Libraries
  • Packages and Import Statements
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling
  Hands-On:
  • Packages and Modules
  • Regular Expressio
  • Errors and Exceptions – Types of Issues, and Their Remediation

• Introduction to NumPy

  Learning Objective: Get familiar with the basics of Data Analysis using two essential libraries: NumPy and Pandas. You will also understand the concept of file handling using the NumPy library.

  Topics:
  • Basics of Data Analysis
  • NumPy – Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy Array Attributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  Hands-On:
  • Matrix Product and Aggregate Functions using Numpy
  • Array Creation and Logic Functions
  • File Handling Using Numpy

• Data Manipulation using pandas

  Learning Objective: Gain in-depth knowledge about analyzing datasets and data manipulation using Pandas.

  Topics:
  • Introduction to pandas
  • Data structures in pandas
  • Series
  • Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
  Hands-On:
  • Functionality of Series
  • The Functionality of Data Frame
  • Combining Data from Dataset
  • Cleaning Data

• Data Visualization using Matplotlib

  Learning Objective: Learn Data Visualization using Matplotlib.

  Topics:
  • Why Data Visualization?
  • Matplotlib Library
  • Line Plots
  • Multiline Plots
  • Bar Plot
  • Histogram
  • Pie Chart
  • Scatter Plot
  • Boxplot
  • Saving Charts
  • Customizing Visualizations
  • Saving Plots
  • Grids
  • Subplots
  Hands-On:
  • Plotting Different Types of Charts
  • Customizing Visualizations Using Matplotlib
  • Customizing Visualizations and Subplots

• GUI Programming

  Learning Objective: In this module, you will learn GUI programming 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:
  • Creating GUI Elements
  • Creating an application containing GUI elements

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

  Learning Objective: Learn to design Python Applications.

  Topics:
  • Use of Folium Library
  • Use of Pandas Library
  • Flow Chart of Web Map Application
  • Developing Web Map Using Folium and Pandas
  • Reading Information from Titanic Dataset and Represent It Using Plots

• Computer Vision using OpenCV and Visualisation using Bokeh (Self-paced)

  Learning Objective: Learn to design Python Applications.

  Topics:
  • Beautiful Soup Library
  • Requests Library
  • Scrap All Hyperlinks from a Webpage Using Beautiful Soup and Requests
  • Plotting Charts Using Bokeh
  • Plotting Scatterplots Using Bokeh
  • Image Editing Using OpenCV
  • Face Detection Using OpenCV
  • Motion Detection and Capturing Video