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Python Programming :-
Python is a programming language that is easy to learn, which is why many novice coders choose it as their first language. You can use it for anything from analyzing data, to creating games and developing websites. Python has also become incredibly popular in the scientific community because scientists use it to calculate complicated equations and analyze data.
Chapter 1 – Getting started with Python Programming
 Introduction to Python
 Python features
o Scope of Python
o Python products
 Python Download, Installation and Environment Setup
 First python program execution “Hello World”
Chapter 2 – Variables, keywords and Operators
 Variables and Rules of writing Variables
 Keywords in Python
 Operators
o Arithmetic operators
o Logical operators
o Membership operators
 Basics I/O and Type casting
Example Programs Set 1
Chapter 3 – String data type in Python
 Introduction to Python ‘string’ data type
 Properties of a string
 String built-in functions
 Programming with strings
 String formatting
Chapter 4 – Control flow statements
 Flow of program control type
 Decision making statements: if-elif-else
 ‘for’ loop
o Repetition using for loop: range() function
 ‘while’ loop
o Infinite loop
 Loop control keywords: break, continue, pass
Example Programs Set 2
Chapter 5 – Lists and Tuples data type in Python
 Introduction to Python ‘list’ data type
 Properties of a list
 List built-in functions
 Programming with lists
 Introduction to Python ‘tuple’ data type
 Tuples as Read only lists
Example Programs Set 3
Chapter 6 – Dictionary data type in Python
 Introduction to Python ‘dictionary’ data type
 Creating a new dictionary
 Dictionary built-in functions
 Properties of Dictionary
Example Programs Set 4
Chapter 7 – Set data type in Python
 Introduction to Python ‘set’ data type
 Set and set properties
 Set built-in functions
Example Programs Set 5
Chapter 8 – Functions in Python
 Introduction to functions
 Function definition and return
 Function call and reuse
 Function parameters
 Function recipe and docstring
 *args and **kwargs
 Modules and Packages
Example Programs Set 6
Chapter 9 – Working with files
 Working with text files
o File objects and different Modes of file
o Reading, writing and use of ‘with’ keyword
o read(), readline(), readlines(), seek(), tell() methods
 Working with CSV files
o Use of CSV module in Python
o Reading and writing CSV files
Example Programs Set 7
Chapter 10 – Email sending Automation
 Understanding SMTP
 Sending email with sendmail() function
 Sending email using Gmail
 Email sending with attachment and MIME
Chapter 11 – Exception Handling in Python
 Understanding exceptions
 try, except, else and finally
 raising exceptions with: raise
 Creating your own exception classes
Chapter 12 – Object oriented programming with Python
 OOPs concepts: Classes and objects
 Making of a class and module namespace
 Static and instance variables
 Deep understanding of self and init ()
 Inheritance and Overriding
 Overloading functions
 Operator overloading
 Encapsulation: Hiding attributes
Chapter 13 – Regular Expressions in Python
 Pattern matching
 Meta characters for making patterns
 re flags
Chapter 14 – Database connectivity with Python
 Working with MySQL database
 Working with Sqlite3 database
Example Programs Set 8
Practice Test
Projects Project 1:- Banking System Application by using Dictionary Project 2:- Student Database management by using CSV files. Project 3:- SQL Database project