PYTHON

Python Syllabus

1. Python Demo

• Introduction about Python
• Comparison with C++ , Java , Perl
• History of Python
• Who all use Python
• Technical Strengths of Python
• Installing Python
• Setting up in local environment
• IDLE
• Executing from file, command line from interactive mode
• How Python Program runs in background ?
• Python Dynamic Typing

2. Python Object Types in details

• Number
• String
• List
• Dictionary
• Tuple
• Files
• Other Core Types

3. Python Collections or Sequence

• Sequence introduction
• Number operations
• String Operations
• List
• Tuple
• Dictionary
• Set

4. Looping and Condition

• For â?? Syntax
• While - Syntax
• If â?¦ Else if .. else â?? Syntax

5. Python Functions

• Function introduction
• User defined functions
• Functions with parameters
• Keywords and optional parameters
• Scope of variables [Global and Local]
• Anonymous function - Lambda
• In-build function
• List comprehension.

6. Python Modules

• Modules
• Standard Modules [Sys, Math, Time]
• Statements [for â?¦. Import]
• Dir () functions

7. Python File handling

• Sending Output to STDOUT Using the print () Method
• Reading Input with the input () Method
• Creating File Objects with the open () Method
• Controlling File Access Modes
• Working with File Object Attributes
• Closing File Objects with the close () Method
• Reading and Writing to File Objects with read () and write ()
• Using File Processing Functions from the OS Module

8. Object Oriented Programming Concepts

• Class and object
• Attributes
• Inheritance
• Overloading
• Overriding
• Data hiding
• Polymorphism
• Coding with Classes and Objects

8. Regular expressions

• Introduction
• Simple Character Matches
• Special Characters
• Files I/O
• Exceptions
• Match function
• Search function
• Matching VS Searching
• Modifiers

• Patterns

9. Exceptions

• Errors
• Run Time Errors
• The Exception Model
• Exception Hierarchy
• Handling Multiple Exceptions
• raise
• assert
• Writing Your Own Exception Classes

10. Multithreading

• Thread
• Starting a thread
• Threading module
• Synchronizing threads
• Multithreaded Priority Queue

11. Python & XML

• What is XML? XML Handlers. Sax. DOM.
• Using Python to handle XML via SAX.
• Accessing attributes and character data via Python and SAX.
• Storing information as you parse with SAX.
• Using Python to handle XML via DOM.
• Adding in a character handler.
• Modifying and saving the model.

14. Network Programming.

15. Socket Programming.

16. Email handling.

Note:  Assignment after every class

Industrial Mock Project after the course

Test after the Course

Expectation after the course:

       Students will be able to :

1. Clear interviews asking for Python.
2. Automate many manual tasks.