Python Training

Course Length: 32 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