PYTHON

Python Basic

 Introduction to Python

• Introduction
• Features of Python
• Installation of Anaconda
• How to write Python Code

 Python Objects

• Introduction
• Basic Data Types Revisited
• Fractions
• Strings
• Lists and Tuples
• List
• Tuples
• Features of Tuples

Conditional Statements

• Introduction
• if, if-else, and if-elif-else constructs
• The if-elif-else Ladder
• Logical Operators
• The Ternary Operator
• The get Construct

 Looping

• Introduction
• While
• Patterns
• Nesting and Applications of Loops in Lists

 Functions

• Introduction
• Features of a Function
• Modular Programming
• Reusability of Code
• Manageability
• Basic Terminology
• Arguments
• Return Value
• Definition and Invocation
• Working
• Types of Function
• Advantage of Arguments
• Implementing Search
• Scope
• Recursion
• Rabbit Problem
• Disadvantages of Using Recursion

 Iterations, Generators, and Comprehensions

• Introduction
• For
• Iterators
• Defining an Iterable Object
• Generators
• Comprehensions

 File Handling

• Introduction
• The File Handling Mechanism
• The Open Function and File Access Modes
• Python Functions for File Handling
• The Essential Ones
• The OS Methods
• Miscellaneous Functions and File Attributes
• Command Line Arguments
• Implementation and Illustrations

 Strings

• Introduction
• String Operators
• The Concatenation Operator (+)
• The Replication Operator
• The Membership Operator
• Functions for String Handling

 Introduction to Object Oriented Paradigm

• Introduction
• Creating New Types
• Attributes and Functions
• Attributes
• Functions
• Elements of Object-Oriented Programming
• Class
• Object
• Encapsulation
• Data Hiding
• Inheritance
• Polymorphism
• Reusability

Classes and Objects

• Introduction to Classes
• Defining a Class
• Creating an Object
• Scope of Data Members
• Nesting
• Constructor
• Constructor Overloading
• Destructors

Inheritance

• Introduction to Inheritance and Composition
• Inheritance and Methods
• Composition
• Inheritance: Importance and Types
• Need for Inheritance
• Types of Inheritance
• Methods
• Bound Methods
• Unbound Method
• Methods are Callable Objects
• The Importance and Usage of Super
• Calling the Base Class Function Using Super
• Search in Inheritance Tree
• Class Interface and Abstract Classes

Operator Overloading

• Introduction
• _init_
• Methods for Overloading Binary Operators
• Overloading Binary Operators
• Overloading the += Operator
• Overloading the > and < Operators
• Overloading the _boolEan_ Operators: Precedence of
• _bool_over _len_
• Destructors

Exception Handling

• Introduction
• Importance and Mechanism
• Manually Raising Exceptions
• Built-In Exceptions in Python
• The Process
• Exception Handling: Try/Except
• Raising Exceptions
• Crafting User Defined Exceptions

Introduction to Data Structures

• Introduction
• Abstract Data Type
• Algorithms
• Arrays
• Iterative and Recursive Algorithms
• Iterative Algorithms
• Recursive Algorithms

Stacks and Queues

• Introduction
• Stack
• Dynamic Implementation of Stacks
• Dynamic Implementation: Another Way
• Applications of Stacks
• Reversing a String
• Infix, Prefix, and Postfix Expressions
• Queue

Linked Lists

• Introduction
• Operations
• Implementing Stack Using a Linked List
• Queue Using a Linked List

Binary Search Trees

• Introduction
• Definition and Terminology
• Graphs: Definition and Representation
• Trees: Definition, Classification, and Representation
• Representation of a Binary Tree
• Tree Traversal: In-order, Pre-order, and Post-order
• Binary Search Tree
• Creation and Insertion
• Traversal
• Maximum and Minimum Elements
• Introduction to NUMPY
• Introduction
• Introduction to NumPy and Creation of a Basic Array
• Functions for Generating Sequences
• Aggregate Functions
• Broadcasting
• Structured Arrays

Introduction to MATPLOTLIB

• Introduction
• The Plot Function
• Subplots
• Dimensional Plotting

Introduction to Image Processing

• Introduction
• Opening, Reading, and Writing an Image
• Opening an Image
• Reading
• Writing an Image to a File
• Displaying an Image
• The Contour Function
• Clipping
• Statistical Information of an Image
• Basic Transformation
• Translation
• Rotation

Highlights of the course

• Online, Classroom and On-Premise
• Knowledge of core Java is must
• Suitable for students and programmers

Course Duration

• Normal: One Month (online and classroom)
• Accelerated: One Week (online and classroom)
• On Premise: 3-5 days (accelerated)

_____________________________________________________________________________

Advanced Python

Course Overview

• Course Introduction
• Python 2 versus Python 3

Python Setup

• Command Line Basics
• Installing Python
• Running Python Code

Python Object and Data Structure Basics

• Introduction to Python Data Types
• Numbers
• Numbers: Simple Arithmetic
• Variable Assignments
• Introduction to Strings
• Quick Print Check
• Indexing and Slicing with Strings
• String Indexing
• String Slicing
• String Properties and Methods
• Print Formatting with Strings
• Print Formatting
• Lists in Python
• Lists
• Dictionaries in Python
• Dictionaries
• Tuples with Python
• Sets in Python
• Sets
• Booleans in Python
• Sets and Booleans Quiz
• I/O with Basic Files in Python
• File I/O
• Resources for More Basic Practice

Python Comparison Operators

• Comparison Operators in Python
• Chaining Comparison Operators in Python with Logical Operators

Python Statements

• If Elif and Else Statements in Python
• For Loops in Python
• While Loops in Python
• Useful Operators in Python
• List Comprehensions in Python

Methods and Functions

• Methods and the Python Documentation
• Functions in Python
• Overview of Quick Function Exercises
• Lambda Expressions, Map, and Filter Functions
• Nested Statements and Scope

Object Oriented Programming

• Object Oriented Programming – Introduction
• Object Oriented Programming – Attributes and Class Keyword
• Object Oriented Programming – Class Object Attributes and Methods
• Object Oriented Programming – Inheritance and Polymorphism
• Object Oriented Programming – Special (Magic/Dunder) Methods

Modules and Packages

• Pip Install and PyPi
• Modules and Packages
• __name__ and __main__

Errors and Exceptions Handling

• Errors and Exception Handling
• Pylint Overview
• Running tests with the Unittest Library

Python Decorators

• Decorators with Python Overview

Python Generators

• Generators with Python

Final Capstone Python Project

• Final Capstone Project

Advanced Python Modules

• Collections Module – counter
• Collections Module – defaultdict
• Collections Module – OrderedDict
• Collections Module – namedtuple
• Datetime
• Python Debugger – pdb
• Timing your code – timeit
• Regular Expressions -re
• StringIO

Advanced Python Objects and Data Structures

• Advanced Numbers
• Advanced Strings
• Advanced Sets
• Advanced Dictionaries
• Advanced Lists

APPENDIX: OLDER PYTHON 2 MATERIAL

• NOTE ABOUT THIS SECTION
• How to Approach This Course
• Python 2 vs Python 3
• Jupyter Notebook Installation
• Numbers
• IDE Selection
• Strings
• Print Formatting
• Lists
• Dictionaries
• Files
• Sets and Booleans
• Tuples
• Comparison Operators
• Introduction to Python Statements
• if, elif, and else Statements
• for Loops
• while Loops
• range()
• List Comprehensions
• Methods
• Functions
• lambda expressions
• Nested Statements and Scope
• OOP – Objects
• OOP – Classes
• OOP – Methods
• OOP – Inheritance
• OOP – Special Methods
• Errors and Exceptions
• Exception Handling: try, except, finally
• Modules, Packages, and Imports
• Create your own Python modules.
• Python 3 Notes for Map, Reduce, and Filter
• Map
• Reduce
• Filter
• Zip
• Enumerate
• all() and any()
• Complex
• Decorators
• Iteration vs Generation
• Creating Generators
• Interact
• Widget Basics
• Widget Events
• Widget List
• Widget Styling

Highlights of the course

• Online, Classroom and On-Premise
• Knowledge of core Java is must
• Suitable for students and programmers

Course Duration

• Normal: One Month (online and classroom)
• Accelerated: One Week (online and classroom)
• On Premise: 3-5 days (accelerated)