1. 16IT205 & OBJECT
ORIENTED
PROGRAMMING
CONCEPTS
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2. COURSE OUTCOMES:
 On successful completion of the course, students will be
able to:
 CO1: Illustrate the basics of Python environment, data
types and operations.
 CO2: Develop simple Python scripts using control
statements and data types.
 CO3: Construct object oriented programs using functions.
 CO4: Outline the concepts of Inheritance and
Polymorphism.
 CO5: Apply overloading concepts in various applications.h
 CO6: Outline the concept of handling the exception
through handlers.
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3. Syllabus
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4. Books & References
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5. Introduction to Python
 Python is a high-level programming language
 Open source and community driven
 “Batteries Included”
 a standard distribution includes many modules
 Dynamic typed
 Source can be compiled or run just-in-time
 Similar to perl, tcl, ruby
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6. Why Python?
 Unlike AML and Avenue, there is a considerable base of
developers already using the language
 “Tried and true” language that has been in development
since 1991
 Can interface with the Component Object Model (COM)
used by Windows
 Can interface with Open Source GIS toolsets
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7. Python!
 Created in 1991 by Guido van Rossum (now at Google)
 Named for Monty Python
 Useful as a scripting language
 script: A small program meant for one-time use
 Targeted towards small to medium sized projects
 Used by:
 Google, Yahoo!, Youtube
 Many Linux distributions
 Games and apps (e.g. Eve Online)

8. Installing Python
Windows:
 Download Python from
http://www.python.org
 Install Python.
 Run Idle from the Start Menu.
Mac OS X:
 Python is already installed.
 Open a terminal and run
python or run Idle from Finder.
Linux:
 Chances are you already have
Python installed. To check, run
python from the terminal.
 If not, install from your
distribution's package system.Note: For step by step installation
instructions, see the course web site.

9. Interpreted Languages
 interpreted
 Not compiled like Java
 Code is written and then directly executed by an
interpreter
 Type commands into interpreter and see immediate results
Computer
Runtime
Environment
CompilerCodeJava:
ComputerInterpreterCodePython:

10. The Python Interpreter
 Allows you to type commands one-at-a-time and see
results
 A great way to explore Python's syntax
 Repeat previous command: Alt+P

11. Our First Python Program
 Python does not have a main method like Java
 The program's main code is just written directly in the file
 Python statements do not end with semicolons
hello.py
1 print("Hello, world!")

12. The print Statement
print("text")
print() (a blank line)
 Escape sequences such as " are the same as in Java
 Strings can also start/end with '
swallows.py
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print("Hello, world!")
print()
print("Suppose two swallows "carry" it together.")
print('African or "European" swallows?')

13. Comments
 Syntax:
# comment text (one line)
swallows2.py
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# Suzy Student, CSE 142, Fall 2097
# This program prints important messages.
print("Hello, world!")
print() # blank line
print("Suppose two swallows "carry" it together.")
print('African or "European" swallows?')

14. IDLE – Development
Environment
 IDLE helps you program
in Python by:
 color-coding your
program code
 debugging
 auto-indent
 interactive shell
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15. More than just printing
 Python is an object oriented language
 Practically everything can be treated as an object
 “hello world” is a string
 Strings, as objects, have methods that return the result
of a function on the string
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16. What Is a Program?
 Usually, one or more algorithms written in a
programming language that can be translated to run on
a real machine
 We sometimes call programs software

17. What Is a Programming
Language?
 A programming language is somewhat like a
natural language, but with a very limited set
of statements and strict syntax rules.
 Has statements to implement sequential,
conditional and iterative processing -
algorithms
 Examples: FORTRAN, COBOL, Lisp, Basic,
Pascal, C, C++, Java, C#, Python, …

18. Compiler
 A compiler is a program that converts a program written
in a programming language into a program in the native
language, called machine language, of the machine that
is to execute the program.

19. From Algorithms to Hardware
(with compiler)
Algorithm
Program
A real computer
Translate (by a human being)
Translate (by compiler program)

20. The Program Development
Process (Data Flow)
Editor
Compiler
A real computer
Algorithm
Program in programming language
Program in machine’s language
Input Output

21. The Program Development
Process (Control Flow)
Edit
Compile
Run
Syntax errors
Input Output
Runtime errors

22. Three kinds of errors
 Syntax error : Some statement in the program is not a legal statement in the
language.
 Runtime error : An error occurs while the program is executing, causing the
program to terminate (divide by zero, etc.)
 Logic error : The program executes to completion, but gives incorrect
results.

23. Interpreter
 An alternative to a compiler is a program called an
interpreter. Rather than convert our program to the
language of the computer, the interpreter takes our
program one statement at a time and executes a
corresponding set of machine instructions.

24. Interpreter
Edit
Interpreter
Syntax or runtime errors
Input
Output

25. Python
 Python is a real-world, production language that is freely
available for most computers.
http:www.python.org
 If you want a copy of Python to use with this course, go to
http://code.google.com/p/mediacomp-jes/ .
We are using JES (Jython Environment for Students) which has
a lot of special multimedia functionality.
 Note: Our textbook covers a limited amount of Python. There
are many excellent online tutorials. For example, see
http://en.wikibooks.org/wiki/Non-Programmer's_Tutorial_for_Python/Contents

26. Python
 Python uses an interpreter. Not only can we write complete
programs, we can work with the interpreter in a statement
by statement mode enabling us to experiment quite easily.
 Python is especially good for our purposes in that it does
not have a lot of “overhead” before getting started.
 It is easy to jump in and experiment with Python in an
interactive fashion.

27. Language terminology
 Syntax: The formal rules for legal statements in the
language.
 Semantics: The meaning of the statements - what
happens when the statement is executed.

28. Three major control constructs
of programming
(Execution flow of instructions)
 Sequential: Simply do steps one after the other in order they are listed.
 Conditional: Decide which statement to do next based on some
true/false test.
 Iterative: A set of statements is repeated over and over until some
condition is met.

29. Sequential Operations
“Atomic”
 Input
 Computation
 Output

30. The Big Plan
 We want to get some experience of programming simple
algorithms in a real programming language. This gives us
an understanding of how software is written and allows us
to test our algorithms to see if they work.
 We’ll first work with programs where the variables have
numbers as values.
 Later we’ll work with programs dealing with pictures and
sound.
 In lab we’ll work with some simple statements and small
programs.

31. The Basic Pattern
 Most of our programs will use the basic pattern of
 Get some user input
 Perform some algorithm on the input
 Provide results as output

32. Identifiers
 Identifiers are names of various program
elements in the code that uniquely identify the
elements. They are the names of things like
variables or functions to be performed. They're
specified by the programmer and should have
names that indicate their purpose.
 In Python, identifiers
 Are made of letters, digits and underscores
 Must begin with a letter or an underscore
 Examples: temperature, myPayrate, score2

33. Keywords
 Keywords are reserved words that have special meaning in the Python
language. Because they are reserved, they can not be used as identifiers.
Examples of keywords are if, while, class, import.

34. Variables in Python
 A variable has
 A name – identifier
 A data type - int, float, str, etc.
 Storage space sufficient for the type.

35. Numeric Data Types
 int
This type is for whole numbers, positive or negative.
Examples: 23, -1756
 float
This type is for numbers with possible fraction parts.
Examples: 23.0, -14.561

36. Integer operators
The operations for integers are:
+ for addition
- for subtraction
* for multiplication
/ for integer division: The result of 14/5 is 2
% for remainder: The result of 14 % 5 is 4
 *, /, % take precedence over +, -
x + y * z will do y*z first
 Use parentheses to dictate order you want.
(x+y) * z will do x+y first.

37. Integer Expressions
 Integer expressions are formed using
 Integer Constants
 Integer Variables
 Integer Operators
 Parentheses

38. Python Assignment
Statements
 In Python, = is called the assignment operator
and an assignment statement has the form
<variable> = <expression>
 Here
 <variable> would be replaced by an actual variable
 <expression> would be replaced by an expression
 Python: age = 19

39. Python Assignment Statement
 Syntax: <variable> = <expression>
 Note that variable is on left
 Semantics:
Compute value of expression
Store this as new value of the variable
 Example: Pay = PayRate * Hours
Payrate
10
Hours
40
Pay
400

40. Assignment Example
Before
X
3
Z
12
Y
5
After
X
3
Z
11
Y
5
Execute
Z = X * 3 + Z / Y

41. Python Session

42. Python Session

43. What about floats?
 When computing with floats, / will indicate regular division with
fractional results.
 Constants will have a decimal point.
 14.0/5.0 will give 2.8 while 14/5 gives 2.

44. Comments
 Often we want to put some documentation in our program. These are
comments for explanation, but not executed by the computer.
 If we have # anywhere on a line, everything following this on the line is a
comment – ignored

45. Numerical Input
 To get numerical input from the user, we use an
assignment statement of the form
<variable> = input(<prompt>)
 Here
 <prompt> would be replaced by a prompt for the user inside quotation marks
 If there is no prompt, the parentheses are still needed
 Semantics
 The prompt will be displayed
 User enters number
 Value entered is stored as the value of the variable

46. Print Statement
 For output we use statements of the form
print <expression>
 Semantics
 Value of expression is computed
 This value is displayed
 Several expressions can be printed – separate them by
commas

47. Example - Fahrenheit to
Centigrade
 We want to convert a Fahrenheit temperature to
Centigrade.
 The formula is C = (F -32) x 5/9
 We use type float for the temperatures.

48. Python Session