Course Detail

Course Description

Python (Core and Advance)

1. Introduction to python

• History of Python

• Why to learn python

• How is Python Different from other programming languages

• Installing Python and path setting

• How to run python programs

2. Basics of Python

• Variable

• Identifier

• Keywords

• Statements & Comments

• Indentation

• Data types(number,string,list,tuple,set,dictionary)

• Static Typing vs Dynamic Typing

• Input and output

3. Operators

• Arithmetic operator

• Relational Operator

• Assignment Operator

• Logical operator

• Bitwise operator

• Membership Operator

• Identity Operator

4. Control Flow

• If statement

• If - else

• If – elif -else

• Nested if – else

• While loop

• for – in loop

• Nested loop

• Loop with else

• Pass statement

• Break and continue

5. Functions

• Function Basics

• Defining function

• Function call

• Return statement

• Function parameters

• Call by value or call by reference

• Local and global variable

• Recursion

• Anonymous (lambda) function

6. Modules

• Defining module

• How to create module

• Importing module

• Dir ()

• Module search path

• Reloading a module

• Sys module

• Os module

• Namespace

7. Packages

• Defining package

• How to create package

• Importing package

• Installing third party packages

8. Numeric Types

• Numeric type basics

• Numbers

• Hexadecimal, Octal and Binary Notation

• Complex Numbers

• Type casting

• Numeric Functions

• Random number generation

9. String

• Defining a string

• Different ways to create string

• Accessing elements of string

• Escape sequence

• Raw string

• String methods

• String formatting Expressions

10. List

• Defining a list

• Creating list

• Accessing list elements of list

• Deleting list

• List methods

• Functions used with list

• List comprehension

• Implementation of stack and queue using list

• Use of Zip ()

• Matrix operations using list

• Numpy array

11. Tuple

• Defining a tuple

• Creating a tuple

• Accessing elements of tuple

• Immutability

• List vs tuples

• Tuple Methods

• Functions used with tuple

• Advantage of Tuple

12. Dictionary

• Defining a dictionary

• Creating a dictionary

• Accessing elements of dictionary

• Deleting a dictionary

• Dictionary methods

• Dictionary Comprehension

13. Set

• Defining a set

• Creating set

• Set operations

• Set methods

• Set comprehension

14. File Handling

• Defining a file

• Types of file

• File operations

• Opening a File

• Closing file

• File modes

• File attributes

• Writing to file

• Reading from file

• Appending to file

• File positions

• Binary file

• Pickle module

15. Exception Handling

• Defining an exception?

• Default exception handler

• Exception handling techniques

• Detecting Exception (try)

• Catching exceptions (catch)

• Catching multiple exceptions

• Raising exception (raise)

• Finally block

• User defined exceptions

16. Object Oriented Programming

• Oop concepts

• Defining a class

• Creating object

• Method vs function

• Calling methods

• Instance attribute vs class attribute

• Instance method vs class method

• Private attribute and method

• Static method

• Method Overloading

• Constructor

• List of objects

• Inheritance

• Method overriding

• Operator overloading

• Abstract method

• Abstract class

17. Multithreading

• Process based multi-tasking

• Thread based multi-tasking

• Creating a Thread without using class

• Creating thread using class

• Sleep () method

• Join () method

• Getting and setting name of Thread

• Synchronization

• Lock concept

• Is_Alive () method

• Active_count () method

• Enumerate () method

• Current_thread () method

• Daemon Thread

18. GUI Programming with Tkinter

• Introduction to tkinter

• Creating a window

• Tkinter widgets

  • Label

  • Button

  • Entry

  • Message box

  • List

  • Radio Button

  • Check Button

• Creating Frame

• Assignments on tkinter

19. Database Programming

• Introduction to SQLite module

• Connecting to database by using sqlite3

• Creating table by sqlite3

• Performing SQL operations

• Introduction to MySQL

• Installing MySQL

• Creating database using MySQL

• Connecting MySQL database from python

• Creating table

• Performing SQL operations

20. Networking

• Introduction to Network programming

• Ip address

• Port Number

• Socket module

• Server socket

• Client socket

• Socket methods

• TCP socket

• UDP socket

21. Introduction to Machine learning using Python

• What is machine learning?

• Difference between Machine learning and AI

• Types of Machine learning

• Supervised learning

• Unsupervised learning

• Examples

• Applications of Machine learning

• Popular Python packages for machine learning

  • Numpy

  • Scipy

  • sklearn

  • matplotlib

  • Pandas

22. Web based programming  using Flask and Django

•  what is web based application
•  Basics of FLASK
• Basics of Django

23. Project

After learning python every student must do some project. Projects will increase the problem solving ability of student . I will personally guide the students in doing project work.