About Interpreted Languages, Advantages/Disadvantages of Python, pydoc. Starting Python, Interpreter PATH, Using the Interpreter
Running a Python Script, Python Scripts on UNIX/Windows, Python Editors and IDEs.
Using Variables, Keywords, Built-in Functions, Strings, Different Literals, Math Operators and Expressions, Writing to the Screen, String Formatting, Command Line Parameters and Flow Control

Numbers : Python supports four numerical types > int (signed integers) ,long (long integers),float (floating point real values), complex ( complex numbers).

Strings :
In Python everything is object & String are an object too. Accessing values in String. Various String operators Update String values Python Lists :
a) List is a most versatile data type in python which can be written as a list of comma separated values between square brackets.
b) Accessing Values in Lists
c) Updating Lists.
d) Delete list elements.
e) List Operations.

Python Tuples :
a) Python tuple is a sequence of immutable objects.
b) Accessing Tuple
c) Elements in a Tuple
d) Tuple Operations.

Python Dictionary :
a) Each key is separated from its value by a colon (:)
b) Accessing values in Dictionary
c) Updating Dictionary
d) Deleting elements in Dictionary
e) Properties of Dictionary elements
f) Built in Dictionary functions & methods.

Python Date & Time
Date, Time & Date Time classes provides a number of functions to deal with dates ,times & time interval. Date Time classes in Python are categorized into five main classes:
a) Time : Time independent of the day( Hour,minute, second,microsecond)
b) Datetime : Combination of time & date ( Month, day , hour, second, microsecond)
c) Timedelta : a duration of time used for manipulating dates.
d) Tzinfo : An abstract class for dealing with time zones.

Deep Dive – Functions, Sorting, Errors and Exception Handling
Learning Objectives – Understand how to use and create functions, sorting different elements, Lambda function, error handling techniques and using modules in Python.
Topics – Functions, Function Parameters, Global Variables, Variable Scope and Returning Values. Sorting, Alternate Keys, Lambda Functions, Sorting Collections of Collections, Sorting Dictionaries, Sorting Lists in Place. Errors and Exception Handling, Handling Multiple Exceptions, The Standard Exception Hierarchy, Using Modules, The Import Statement, Module Search Path, Package Installation Ways.

Python I/O Functions
• Reading Data from Keyboard.
• For Files Read & write
• Opening & Closing of Files.
• File Object Attributes.
• File & Directory Related methods.

Python OOPS Concepts
• Overview of OOPS terminology.
• Creating classes & Objects.
• Creating Instance Objects.
• Built-In Class Attributes.
• Destroying Objects (Garbage Collection)
• Class Inheritance
• Overriding Methods
• Overloading Operators
• Data Hiding
• Python Constructors

Regular Expressions and Python Packages
• Match Function
• Search Function
• Regular Expression Modifiers
• Regular Expression Patterns ($, re*….)
• Character Classes
• Repetition Cases
• Anchors

Debugging & Python Database Access
• Database Connection
• CRUD Operations
• Procedures & Functions calling
• Debugging Python Code Using PyCharm
• Unit Test Cases
• MySQL Python Connectivity
• Python Packages

• Socket Model
• Client Server Configuration
• Python Internet Modules
• Python Socket Library & Modules

• Threading Module
• Thread Creation using Threading module
• Synchronizing Threads
• Thread Priority Queue

• Parsing XML using DOM Parser
• Parsing XML using SAX Parser
• JSON Parser

• Deque Objects in Python
• orderedDict in Python
• defaultDict in Python
• FrozenSet in Python
• namedTuples in Python
• Sets & FrozenSets in Python

• Shallow & Deep Copying of Objects in Python
• Python Conventions
• Python Context Managers
• Python Design Patterns
• Inbuilt & User Defined Module(UDF) in Python
• Pickle & Marshal Serializers in Python
• Integration of Python & MongoDB

• Python List Comprehensions
• Python Set Comprehensions
• Python Dictionary Comprehensions Python Set Comprehensions