This document provides information about Python classes offered in Mumbai by Vibrant Technologies & Computers. It lists the address and contact details for Vibrant Technologies in Navi Mumbai. It then outlines 13 modules that will be covered in the Python classes, including topics like an overview of Python, running Python scripts, flow control, sequence data, defining functions, working with files, dictionaries and sets, errors and exception handling, using modules, regular expressions, the standard library, and an introduction to Python classes.

1. Python Classes In Mumbai
Vibrant Technologies & Computers.
K1/4 2nd Floor, Sec-15, Backside of
Sec-15 bus stop, Opp to Vaidehi Hotel,
Vashi, Navi Mumbai
Call us on :
0 9892 900 103 / 0 9892 900 173
E-mail :
info@vibranttechnologies.co.in

2. Module Title Contents
Module 1: An Overview of Python
What is Python? Interpreted
languages Advantages and
disadvantages Downloading and
installing Which version of Python
Where to find documentation
Module 2: Running Python Scripts
Structure of a Python script Using
the interpreter interactively
Running standalone scripts under
Unix and Windows
Module 3: Getting Started
Using variables String types:
normal, raw and Unicode String
operators and expressions Math
operators and expressions Writing
to the screen Command line
parameters Reading from the
keyboard
Module 4: Flow Control
About flow control Indenting is
significant The if and elif
statements while loops Using lists
Using the for statement The
range() function
Module 5: Sequence Data
list operations list methods Strings
are special kinds of lists tuples
sets Dictionaries
Module 6: Defining Functions
Syntax of function definition
Formal parameters Global versus
local variables Passing
parameters and returning values

3. Module 7: Working with Files
Text file I/O overview Opening a text file
Reading text files Raw (binary) data Using the
pickle module Writing to a text file
Module 8: Dictionaries and Sets
Dictionary overview Creating dictionaries
Dictionary functions Fetching keys or values
Testing for existence of elements Deleting
elements
Module 9: Errors and Exception Handling
Dealing with syntax errors Exceptions
Handling exceptions with try/except Cleaning
up with finally
Module 10: Using Modules
What is a module? The import statement
Function aliases Packages
Module 11: Regular Expressions
RE Objects Pattern matching Parsing data
Subexpressions Complex substitutions RE
tips and tricks
Module 12: Highlights of the Standard Library
Working with the operating system Grabbing
web pages Sending email Using glob for
filename wildcards math and random
Accessing dates and times with datetime
Working with compressed files
Module 13: An Introduction to Python Classes
About o-o programming Defining classes
Constructors Instance methods Instance data
Class methods and data Destructors