Day 1 : Basics of Python

Day 2 : Functions, Classes & Modules

Session 1:

• Introduction
• Use case of python.
• Comparison with other programming language.
• Python interpreter and console.

Session 2:

• Basic data structure.
1. int, float, str
2. possible operations on above data types.
• Variables.
• Dynamic typing.

Session 3:

• Basic programming constructs.
• Conditions like if,else,elif
• Loops like while, break,for,continue.
• Interactive mode
1. file mode
2. dir mode
3. type
4. help
• Advanced data structure
1. List
2. tuple
3. dictionary
4. frozenset
5. set

Session 4:

• range and xrange
• dictionary
• python std library(basic introduction)
1. os
2. sys
• exercise

Session 1:

• functions(advanced)
1. Syntax or prototype of function
2. Invocation or how to call a function
3. Parameter passing
4. Parameter passing with names.
5. Idea of passing reference.
6. Recursion.
7. Nesting of functions.

Session 2:

• Object oriented concepts.
• Python objects.
• Classes.
• creation of objects.
• Inheritance.
• Class attributes.
• Operator overloading.

Session 3:

• Modules
1. .py files & .pyc files
• Basic exception handling
1. significance
2. Common exceptions.
3. Usage : try,except,raise,else,finally.

Session 4:

• File handling
1. open,read, write and delete files.
• Exercise

Day 3 : Advanced Python

Day 4 : Advanced Python

Session 1:

• list and dictionary comprehensions.
• functional programming concepts like
1. map
2. reduce
3. filter

Session 2:

• higher order functions
• decorators

Session 3:

• python packages
• 3rd party library
• pip, easy_install
• debugging tool like pdb, stack-trace

Session 4:

• testing
1. unit testing
2. doc test
3. py test
4. mock test
5. nose test
6. coverap
• regular expressions (very important for python developer)

Session 1:

• asynchronous programming
1. threads
2. hlobal interpreter like lock
3. async I/O (basic)

Session 2:

• Networking
1. SSH
2. yelnet
3. http
• sub-processes

Session 3:

• parsing
1. config parser
2. HTML parser
3. XML parser

Session 4:

• python extensions
1. ctypes(basic)
• useful python libraries
1. collections
2. requests

Session 1:

• Introduction
• Variables & Data Types
• Constants
• Console IO Operation
• Storage Classes
• Operator & Expressions

Session 2 :

• Control Flow Statement
• Functions
• Scope Rules

Session 3:

• Arrays
• Strings
• Structure
• Union

Session 4:

• File Handling
• Preprocessors
• Header Files
• Type Castings
• Error Handling

Session 5:

• Pointers
• Pointers and Arrays
• Pointer and Structure
• Pointer and Function
• Function Pointers

Session 6:

• Variable Arguments
• Memory Management
• Command Line Arguments
• Macros

Session 7: Data Structure

• Stack
• Queue
• Linked List
• Trees *
• Graphs *
• Index *

Session 8: Data Structure

• Searching *
• Sorting *