Python
Course Length: 35 Hours
Course Description:
This course teaches students how to develop Python applications. Topics covered include the Python programming language syntax, OO programming using Python, exception handling, file input/output, Database connectivity.
Who Should Attend:
This course is designed for application programmers and designers planning to develop applications using the Python.

Benefits of Attendance:
Upon completion of this course, students will be able to:
Run a Python application.
Navigate through the API docs.
Use the Object Oriented paradigm in Python
Understand the division of classes into Python packages.
Use Exceptions to handle run time errors.
Prerequisites:
Knowledge of programing languages such as C or C++ is desirable but not mandatory.
Course Outline:
1. Introduction
1.1 Understanding Open source Model
1.2 Installing Python in Linux/Windows
1.3 Understanding interpreters
1.3.1 ipython
1.3.2 bpython
1.4 Getting started with Python
1.5 Setting up IDE and various IDEs
1.6 Creating first Python Program
1.6.1 Understanding sha-bang
1.6.2 understanding .py extension
1.7 How to run Python programs


2. Types and Operators
2.1 Introduction to datatypes
2.2 Type Casting in Python
2.3 Various ways of printing
2.4 Boolean Operators
2.5 Playing with numbers
2.6 Playing with Strings
2.6.1 String Quotes
2.6.2 Raw Strings
2.7 Docstring and Comments
2.8 Accepting Inputs


3. Control Statements
3.1 Conditional Statements
3.1.1 Boolean expressions
3.1.2 Logical Operators
3.1.3 Using If condition
3.1.4 Pass
3.2 Looping Statements
3.2.1 for
3.2.2 while
3.2.3 range
3.2.4 break
3.2.5 continue

4. Lists
4.1.1 What are Lists?
4.1.2 Mutable Lists
4.1.3 In Operator
4.1.4 Traversing a List
4.1.5 List operations
4.1.6 Indexing
4.1.7 Slicing
4.1.8 Converting a List to String
4.1.9 Converting a String to List
4.1.10 Aliasing in Lists
4.1.11 Functions in Lists
5. Tuples
5.1.1 What is Tuples.
5.1.2 Indexing in Tuples
5.1.3 Slicing in Tupels
5.1.4 Immutable tupels
5.1.5 Packing and Unpacking
5.1.6 Lists and Tuples
5.1.7 Functions in Tuples
6. Dictionaries
6.1.1 What are dictionaries
6.1.2 Keys and Values
6.1.3 In Operator
6.1.4 Looping in Dictionaries
6.1.5 Lookups in Dictionaries
6.1.6 Functions in Dictionaries
6.1.7 Dictionaries versus sets

7. Functions
7.1 Function basics
7.2 Scope rules in functions
7.2.1 Global Scope
7.2.2 Local Scope
7.2.3 Locals
7.2.4 Globals
7.2.5 Global
7.3 Understanding the return key word.
7.4 Argument Passing
7.4.1 Default Argument List
7.4.2 Keyword Arguments
7.5 Understanding the docstrings
7.6 List Comprehensions
7.7 Lambda, map, filters
8. Modules
8.1 What are modules?
8.2 Understanding the namespaces
8.3 Various ways of importing
8.4 “reload” operation
8.5 Understanding about sys.path
8.6 dir() function
8.7 Understanding the __main__ and __name__ operations
8.8 Installation of a module


9. Files
9.1 Fancier Output Formatting
9.2 Reading and writing files
9.3 Methods of File Objects
9.3.1 Reading
9.3.2 Writing
9.3.3 Modify

10. Exceptions
10.1 What are exceptions
10.2 Simulating errors
10.3 Various types of exceptions
10.4 Exception handling – try, except, else, finally
10.5 Trapping errors
10.6 Raising exceptions
10.7 Customized exceptions


11. Classes
11.1 OOP: What is Object Oriented Program
11.2 Understanding Classes in Python
11.3 Methods in Classes
11.3.1 Constructor
11.3.2 Magic Method
11.4 Understanding Inheritance
11.5 Understanding Polymorphism
11.6 Understanding Encapsulation
11.7 Operator Overloading
12. Introduction to Advanced Concepts
12.1 Regular Expressions
12.2 Python Standard Library – os, sys, shutil, datetime
12.3 XML Processing
13. Advanced Python-1
13.1 Numerical Processing with Numpy
14. Advanced Python-2
14.1.1 Socket Programming – TCP/IP, Client/Server Sides, socket module
14.1.2 Threads – Thread and Threading Modules, communication and synchronization
15. Advanced Python-3
15.1.1 Python CGI
15.1.2 Web Scraping using Scrapy (Python)
15.1.3 Handling Web Pages - Introduction to Urllib and Urllib2 Module



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