Chapter-6.pdf

Chapter 6
IoT Systems –
Logical Design using Python
Bahga & Madisetti, © 2015
Book website: http://www.internet-of-things-book.com

Outline
• Introduction to Python
• Installing Python
• Python Data Types & Data Structures
• Control Flow
• Functions
• Modules
• Packages
• File Input/Output
• Date/Time Operations
• Classes

Python
• Python is a general-purpose high level programming language and suitable for providing a solid
foundation to the reader in the area of cloud computing.
• The main characteristics of Python are:
• Multi-paradigm programming language
• Python supports more than one programming paradigms including object-oriented programming and structured
programming
• Interpreted Language
• Python is an interpreted language and does not require an explicit compilation step. The Python interpreter
executes the program source code directly, statement by statement, as a processor or scripting engine does.
• Interactive Language
• Python provides an interactive mode in which the user can submit commands at the Python prompt and interact
with the interpreter directly.

Python - Benefits
• Easy-to-learn, read and maintain
• Python is a minimalistic language with relatively few keywords, uses English keywords and has fewer syntactical constructions
as compared to other languages. Reading Python programs feels like English with pseudo-code like constructs. Python is easy
to learn yet an extremely powerful language for a wide range of applications.
• Object and Procedure Oriented
• Python supports both procedure-oriented programming and object-oriented programming. Procedure oriented paradigm
allows programs to be written around procedures or functions that allow reuse of code. Procedure oriented paradigm allows
programs to be written around objects that include both data and functionality.
• Extendable
• Python is an extendable language and allows integration of low-level modules written in languages such as C/C++. This is
useful when you want to speed up a critical portion of a program.
• Scalable
• Due to the minimalistic nature of Python, it provides a manageable structure for large programs.
• Portable
• Since Python is an interpreted language, programmers do not have to worry about compilation, linking and loading of
programs. Python programs can be directly executed from source
• Broad Library Support
• Python has a broad library support and works on various platforms such as Windows, Linux, Mac, etc.

Python - Setup
• Windows
• Python binaries for Windows can be downloaded from http://www.python.org/getit .
• For the examples and exercise in this book, you would require Python 2.7 which can be directly downloaded from:
http://www.python.org/ftp/python/2.7.5/python-2.7.5.msi
• Once the python binary is installed you can run the python shell at the command prompt using
> python
• Linux
#Install Dependencies
sudo apt-get install build-essential
sudo apt-get install libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev
#Download Python
wget http://python.org/ftp/python/2.7.5/Python-2.7.5.tgz
tar -xvf Python-2.7.5.tgz
cd Python-2.7.5
#Install Python
./configure
make
sudo make install

Numbers
• Numbers
• Number data type is used to store numeric values. Numbers are immutable data types, therefore changing the value of a number data
type results in a newly allocated object.
#Integer
>>>a=5
>>>type(a)
<type ’int’>
#Floating Point
>>>b=2.5
>>>type(b)
<type ’float’>
#Long
>>>x=9898878787676L
>>>type(x)
<type ’long’>
#Complex
>>>y=2+5j
>>>y
(2+5j)
>>>type(y)
<type ’complex’>
>>>y.real
2
>>>y.imag
5
#Addition
>>>c=a+b
>>>c
7.5
>>>type(c)
<type ’float’>
#Subtraction
>>>d=a-b
>>>d
2.5
>>>type(d)
<type ’float’>
#Multiplication
>>>e=a*b
>>>e
12.5
>>>type(e)
<type ’float’>
#Division
>>>f=b/a
>>>f
0.5
>>>type(f)
<type float’>
#Power
>>>g=a**2
>>>g
25

Strings
• Strings
• A string is simply a list of characters in order. There are no limits to the number of characters you can have in a string.
#Create string
>>>s="Hello World!"
>>>type(s)
<type ’str’>
#String concatenation
>>>t="This is sample program."
>>>r = s+t
>>>r
’Hello World!This is sample program.’
#Get length of string
>>>len(s)
12
#Convert string to integer
>>>x="100"
>>>type(s)
<type ’str’>
>>>y=int(x)
>>>y
100
#Print string
>>>print s
Hello World!
#Formatting output
>>>print "The string (The string (Hello World!)
has 12 characters
#Convert to upper/lower case
>>>s.upper()
’HELLO WORLD!’
>>>s.lower()
’hello world!’
#Accessing sub-strings
>>>s[0]
’H’
>>>s[6:]
’World!’
>>>s[6:-1]
’World’
#strip: Returns a copy of the string with the
#leading and trailing characters removed.
>>>s.strip("!")
’Hello World’

Lists
• Lists
• List a compound data type used to group together other values. List items need not all have the same type. A list contains items
separated by commas and enclosed within square brackets.
#Create List
>>>fruits=[’apple’,’orange’,’banana’,’mango’]
>>>type(fruits)
<type ’list’>
#Get Length of List
>>>len(fruits)
4
#Access List Elements
>>>fruits[1]
’orange’
>>>fruits[1:3]
[’orange’, ’banana’]
>>>fruits[1:]
[’orange’, ’banana’, ’mango’]
#Appending an item to a list
>>>fruits.append(’pear’)
>>>fruits
[’apple’, ’orange’, ’banana’, ’mango’, ’pear’]
#Removing an item from a list
>>>fruits.remove(’mango’)
>>>fruits
[’apple’, ’orange’, ’banana’, ’pear’]
#Inserting an item to a list
>>>fruits.insert(1,’mango’)
>>>fruits
[’apple’, ’mango’, ’orange’, ’banana’, ’pear’]
#Combining lists
>>>vegetables=[’potato’,’carrot’,’onion’,’beans’,’r
adish’]
>>>vegetables
[’potato’, ’carrot’, ’onion’, ’beans’, ’radish’]
>>>eatables=fruits+vegetables
>>>eatables
[’appl
e’,
’mang
o’,
’orang
e’,
’banan
a’,
’pear’, ’potato’, ’carrot’, ’onion’, ’beans’, ’radish’]
#Mixed data types in a list
>>>mixed=[’data’,5,100.1,8287398L]
>>>type(mixed)
<type ’list’>
>>>type(mixed[0])
<type ’str’>
>>>type(mixed[1])
<type ’int’>
>>>type(mixed[2])
<type ’float’>
>>>type(mixed[3])
<type ’long’>
#Change individual elements of a list
>>>mixed[0]=mixed[0]+" items"
>>>mixed[1]=mixed[1]+1
>>>mixed[2]=mixed[2]+0.05
>>>mixed
[’data items’, 6, 100.14999999999999, 8287398L]
#Lists can be nested
>>>nested=[fruits,vegetables]
>>>nested
[[’apple’, ’mango’, ’orange’, ’banana’, ’pear’],
[’potato’, ’carrot’, ’onion’, ’beans’, ’radish’]]

Tuples
• Tuples
• A tuple is a sequence data type that is similar to the list. A tuple consists of a number of values separated by commas and enclosed
within parentheses. Unlike lists, the elements of tuples cannot be changed, so tuples can be thought of as read-only lists.
#Create a Tuple
>>>fruits=("apple","mango","banana","pineapple")
>>>fruits
(’apple’, ’mango’, ’banana’, ’pineapple’)
>>>type(fruits)
<type ’tuple’>
#Get length of tuple
>>>len(fruits)
4
#Get an element from a tuple
>>>fruits[0]
’apple’
>>>fruits[:2]
(’apple’, ’mango’)
#Combining tuples
>>>vegetables=(’potato’,’carrot’,’onion’,’radish’)
>>>eatables=fruits+vegetables
>>>eatables
(’apple’, ’mango’, ’banana’, ’pineapple’, ’potato’, ’carrot’, ’onion’, ’radish’)

Dictionaries
• Dictionaries
• Dictionary is a mapping data type or a kind of hash table that maps keys to values. Keys in a dictionary can be of any data type, though
numbers and strings are commonly used for keys. Values in a dictionary can be any data type or object.
#Create a dictionary
>>>student={’name’:’Mary’,’id’:’8776’,’major’:’CS’}
>>>student
{’major’: ’CS’, ’name’: ’Mary’, ’id’: ’8776’}
>>>type(student)
<type ’dict’>
#Get length of a dictionary
>>>len(student)
3
#Get the value of a key in dictionary
>>>student[’name’]
’Mary’
#Get all items in a dictionary
>>>student.items()
[(’gender’, ’female’), (’major’, ’CS’), (’name’, ’Mary’),
(’id’, ’8776’)]
#Get all keys in a dictionary
>>>student.keys()
[’gender’, ’major’, ’name’, ’id’]
#Get all values in a dictionary
>>>student.values()
[’female’, ’CS’, ’Mary’, ’8776’]
#Add new key-value pair
>>>student[’gender’]=’female’
>>>student
{’gende
r’: ’female’, ’major’: ’CS’, ’name’: ’Mary’, ’id’: ’8776’}
#A value in a dictionary can be another dictionary
>>>student1={’name’:’David’,’id’:’9876’,’major’:’ECE’}
>>>students={’1’: student,’2’:student1}
>>>students
{’1’:
{’gende
r’: ’female’, ’major’: ’CS’, ’name’: ’Mary’, ’id’: ’8776’}, ’2’:
{’
major’: ’ECE’, ’name’: ’David’, ’id’: ’9876’}}
#Check if dictionary has a key
>>>student.has_key(’name’)
True
>>>student.has_key(’grade’)
False

Type Conversions
#Convert to string
>>>a=10000
>>>str(a)
’10000’
#Convert to int
>>>b="2013"
>>>int(b)
2013
#Convert to float
>>>float(b)
2013.0
#Convert to long
>>>long(b)
2013L
#Convert to list
>>>s="aeiou"
>>>list(s)
[’a’, ’e’, ’i’, ’o’, ’u’]
#Convert to set
>>>x=[’mango’,’apple’,’banana’,’mango’,’banana’]
>>>set(x)
set([’mango’, ’apple’, ’banana’])
• Type conversion examples

Control Flow – if statement
• The if statement in Python is similar to the if statement in other languages.
>>>a = 25**5
>>>if a>10000:
print "More"
else:
print "Less"
More
>>>s="Hello World"
>>>if "World" in s:
s=s+"!"
print s
Hello World!
>>>if a>10000:
if a<1000000:
print "Between 10k and 100k"
else:
print "More than 100k"
elif a==10000:
print "Equal to 10k"
else:
print "Less than 10k"
More than 100k
>>>student={’name’:’Mary’,’id’:’8776’}
>>>if not student.has_key(’major’):
student[’major’]=’CS’
>>>student
{’major’: ’CS’, ’name’: ’Mary’, ’id’: ’8776’}

Control Flow – for statement
• The for statement in Python iterates over items of any sequence (list, string, etc.) in the order in which they
appear in the sequence.
• This behavior is different from the for statement in other languages such as C in which an initialization,
incrementing and stopping criteria are provided.
#Looping over characters in a string
helloString = "Hello World"
for c in helloString:
print c
#Looping over keys in a dictionary
student
=
’nam
e’:
’Mar
y’, ’id’: ’8776’,’gender’: ’female’, ’major’: ’CS’
for key in student:
print "%s: %s" % (key,student[key]
#Looping over items in a list
fruits=[’apple’,’orange’,’banana’,’mango’]
i=0
for item in fruits:
print "Fruit-%d: %s" % (i,item)
i=i+1

Control Flow – while statement
• The while statement in Python executes the statements within the while loop as long as the while condition is
true.
#Prints even numbers upto 100
>>> i = 0
>>> while i<=100:
if i%2 == 0:
print i
i = i+1

Control Flow – range statement
• The range statement in Python generates a list of numbers in arithmetic progression.
#Generate a list of numbers from 10 - 100 with increments
of 10
>>>range(10,110,10)
[10, 20, 30, 40, 50, 60, 70, 80, 90,100]
#Generate a list of numbers from 0 – 9
>>>range (10)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

Control Flow – break/continue statements
• The break and continue statements in Python are similar to the statements in C.
• Break
• Break statement breaks out of the for/while loop
• Continue
• Continue statement continues with the next iteration.
#Continue statement example
>>>fruits=[’apple’,’orange’,’banana’,’mango’]
>>>for item in fruits:
if item == "banana":
continue
else:
print item
apple
orange
mango
#Break statement example
>>>y=1
>>>for x in range(4,256,4):
y = y * x
if y > 512:
break
print y
4
32
384

Control Flow – pass statement
• The pass statement in Python is a null operation.
• The pass statement is used when a statement is required syntactically but you do not want any command or
code to execute.
>fruits=[’apple’,’orange’,’banana’,’mango’]
>for item in fruits:
if item == "banana":
pass
else:
print item
apple
orange
mango

Functions
• A function is a block of code that takes information in (in the form of
parameters), does some computation, and returns a new piece of
information based on the parameter information.
• A function in Python is a block of code that begins with the keyword
def followed by the function name and parentheses. The function
parameters are enclosed within the parenthesis.
• The code block within a function begins after a colon that comes after
the parenthesis enclosing the parameters.
• The ﬁrst statement of the function body can optionally be a
documentation string or docstring.
students = { '1': {'name': 'Bob', 'grade': 2.5},
'2': {'name': 'Mary', 'grade': 3.5},
'3': {'name': 'David', 'grade': 4.2},
'4': {'name': 'John', 'grade': 4.1},
'5': {'name': 'Alex', 'grade': 3.8}}
def averageGrade(students):
“This function computes the average grade”
sum = 0.0
for key in students:
sum = sum + students[key]['grade']
average = sum/len(students)
return average
avg = averageGrade(students)
print "The average garde is: %0.2f" % (avg)

Functions - Default Arguments
• Functions can have default values of the parameters.
• If a function with default values is called with fewer parameters or without any parameter, the default values of the
parameters are used
>>>def displayFruits(fruits=[’apple’,’orange’]):
print "There are %d fruits in the list" % (len(fruits))
for item in fruits:
print item
#Using default arguments
>>>displayFruits()
apple
orange
>>>fruits = [’banana’, ’pear’, ’mango’]
>>>displayFruits(fruits)
banana
pear
mango

Functions - Passing by Reference
• All parameters in the Python functions are passed by reference.
• If a parameter is changed within a function the change also reﬂected back in the calling function.
>>>def displayFruits(fruits):
print "There are %d fruits in the list" % (len(fruits))
for item in fruits:
print item
print "Adding one more fruit"
fruits.append('mango')
>>>fruits = ['banana', 'pear', 'apple']
>>>displayFruits(fruits)
There are 3 fruits in the list
banana
pear
apple
#Adding one more fruit
>>>print "There are %d fruits in the list" % (len(fruits))
There are 4 fruits in the list

Functions - Keyword Arguments
• Functions can also be called using keyword arguments that identiﬁes the arguments by the parameter name when the
function is called.
>>>def
printStudentRecords(name,age=20,major=’CS’):
print "Name: " + name
print "Age: " + str(age)
print "Major: " + major
#This will give error as name is required argument
>>>printStudentRecords()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: printStudentRecords() takes at least 1
argument (0 given)
#name is a formal argument.
#**kwargs is a keyword argument that receives all
arguments except the formal argument as a
dictionary.
>>>def student(name, **kwargs):
print "Student Name: " + name
for key in kwargs:
print key + ’: ’ + kwargs[key]
>>>student(name=’Bob’, age=’20’, major = ’CS’)
Student Name: Bob
age: 20
major: CS
#Correct use
>>>printStudentRecords(name=’Alex’)
Name: Alex
Age: 20
Major: CS
>>>printStudentRecords(name=’Bob’,age=22,major=’EC
E’)
Name: Bob
Age: 22
Major: ECE
>>>printStudentRecords(name=’Alan’,major=’ECE’)
Name: Alan
Age: 20
Major: ECE

Functions - Variable Length Arguments
• Python functions can have variable length arguments. The variable length arguments are passed to as a tuple to the
function with an argument preﬁxed with asterix (*)
>>>def student(name, *varargs):
print "Student Name: " + name
for item in varargs:
print item
>>>student(’Nav’)
Student Name: Nav
>>>student(’Amy’, ’Age: 24’)
Student Name: Amy
Age: 24
>>>student(’Bob’, ’Age: 20’, ’Major: CS’)
Student Name: Bob
Age: 20
Major: CS

Modules
• Python allows organizing the program
code into different modules which
improves the code readability and
management.
• A module is a Python file that defines
some functionality in the form of functions
or classes.
• Modules can be imported using the import
keyword.
• Modules to be imported must be present
in the search path.
#student module - saved as student.py
def averageGrade(students):
sum = 0.0
sum = sum + students[key]['grade']
average = sum/len(students)
return average
def printRecords(students):
print "There are %d students" %(len(students))
i=1
print "Student-%d: " % (i)
print "Name: " + students[key]['name']
print "Grade: " + str(students[key]['grade'])
i = i+1
#Using student module
>>>import student
>>>students = '1': 'name': 'Bob', 'grade': 2.5,
'2': 'name': 'Mary', 'grade': 3.5,
'3': 'name': 'David', 'grade': 4.2,
'4': 'name': 'John', 'grade': 4.1,
'5': 'name': 'Alex', 'grade': 3.8
>>>student.printRecords(students)
There are 5 students
Student-1:
Name: Bob
Grade: 2.5
Student-2:
Name: David
Grade: 4.2
Student-3:
Name: Mary
Grade: 3.5
Student-4:
Name: Alex
Grade: 3.8
Student-5:
Name: John
Grade: 4.1
>>>avg = student. averageGrade(students)
>>>print "The average garde is: %0.2f" % (avg)
3.62
# Importing a specific function from a module
>>>from student import averageGrade
# Listing all names defines in a module
>>>dir(student)

Packages
• Python package is hierarchical ﬁle structure that consists of
modules and subpackages.
• Packages allow better organization of modules related to a single
application environment.
# skimage package listing
skimage/ Top level package
__init__.py Treat directory as a package
color/ color color subpackage
__init__.py
colorconv.py
colorlabel.py
rgb_colors.py
draw/ draw draw subpackage
__init__.py
draw.py
setup.py
exposure/ exposure subpackage
__init__.py
_adapthist.py
exposure.py
feature/ feature subpackage
__init__.py
_brief.py
_daisy.py
...

File Handling
• Python allows reading and writing to files using the file
object.
• The open(filename, mode) function is used to get a file
object.
• The mode can be read (r), write (w), append (a), read and
write (r+ or w+), read-binary (rb), write-binary (wb), etc.
• After the file contents have been read the close function is
called which closes the file object.
# Example of reading line by line
>>>fp = open('file1.txt','r')
>>>print "Line-1: " + fp.readline()
Line-1: Python supports more than one programming paradigms.
>>>print "Line-2: " + fp.readline()
Line-2: Python is an interpreted language.
>>>fp.close()
# Example of reading an entire file
>>>fp = open('file.txt','r')
>>>content = fp.read()
>>>print content
This is a test file.
>>>fp.close()
# Example of reading lines in a loop
>>>fp = open(’file1.txt’,’r’)
>>>lines = fp.readlines()
>>>for line in lines:
print line
Python supports more than one programming paradigms.
Python is an interpreted language.

File Handling
# Example of seeking to a certain position
>>>fp.seek(10,0)
>>>content = fp.read(10)
>>>print content
ports more
>>>fp.close()
# Example of reading a certain number of bytes
>>>fp.read(10)
'Python sup'
>>>fp.close()
# Example of getting the current position of read
>>>fp.read(10)
'Python sup'
>>>currentpos = fp.tell
>>>print currentpos
<built-in method tell of file object at 0x0000000002391390>
>>>fp.close()
# Example of writing to a file
>>>fo = open('file1.txt','w')
>>>content='This is an example of writing to a file in
Python.'
>>>fo.write(content)
>>>fo.close()

Date/Time Operations
• Python provides several functions for date and time access and conversions.
• The datetime module allows manipulating date and time in several ways.
• The time module in Python provides various time-related functions.
# Examples of manipulating with date
>>>from datetime import date
>>>now = date.today()
>>>print "Date: " + now.strftime("%m-%d-%y")
Date: 07-24-13
>>>print "Day of Week: " + now.strftime("%A")
Day of Week: Wednesday
>>>print "Month: " + now.strftime("%B")
Month: July
>>>then = date(2013, 6, 7)
>>>timediff = now - then
>>>timediff.days
47
# Examples of manipulating with time
>>>import time
>>>nowtime = time.time()
>>>time.localtime(nowtime)
time.struct_time(tm_year=2013, tm_mon=7, tm_mday=24, tm_ec=51, tm_wday=2, tm_yday=205,
tm_isdst=0)
>>>time.asctime(time.localtime(nowtime))
'Wed Jul 24 16:14:51 2013'
>>>time.strftime("The date is %d-%m-%y. Today is a %A. It is %H hours, %M minutes and %S seconds now.")
'The date is 24-07-13. Today is a Wednesday. It is 16 hours, 15 minutes and 14 seconds now.'

Classes
• Python is an Object-Oriented Programming (OOP) language. Python provides all the standard features of Object
Oriented Programming such as classes, class variables, class methods, inheritance, function overloading, and
operator overloading.
• Class
• A class is simply a representation of a type of object and user-defined prototype for an object that is composed of three things: a name,
attributes, and operations/methods.
• Instance/Object
• Object is an instance of the data structure defined by a class.
• Inheritance
• Inheritance is the process of forming a new class from an existing class or base class.
• Function overloading
• Function overloading is a form of polymorphism that allows a function to have different meanings, depending on its context.
• Operator overloading
• Operator overloading is a form of polymorphism that allows assignment of more than one function to a particular operator.
• Function overriding
• Function overriding allows a child class to provide a specific implementation of a function that is already provided by the base class. Child class
implementation of the overridden function has the same name, parameters and return type as the function in the base class.

Class Example
• The variable studentCount is a
class variable that is shared by
all instances of the class
Student and is accessed by
Student.studentCount.
• The variables name, id and
grades are instance variables
which are speciﬁc to each
instance of the class.
• There is a special method by
the name __init__() which is
the class constructor.
• The class constructor
initializes a new instance
when it is created. The
function __del__() is the class
destructor
# Examples of a class
class Student:
studentCount = 0
def __init__(self, name, id):
print "Constructor called"
self.name = name
self.id = id
Student.studentCount = Student.studentCount + 1
self.grades={}
def __del__(self):
print "Destructor called"
def getStudentCount(self):
return Student.studentCount
def addGrade(self,key,value):
self.grades[key]=value
def getGrade(self,key):
return self.grades[key]
def printGrades(self):
for key in self.grades:
print key + ": " + self.grades[key]
>>>s = Student(’Steve’,’98928’)
Constructor called
>>>s.addGrade(’Math’,’90’)
>>>s.addGrade(’Physics’,’85’)
>>>s.printGrades()
Physics: 85
Math: 90
>>>mathgrade = s.getGrade(’Math’)
>>>print mathgrade
90
>>>count = s.getStudentCount()
>>>print count
1
>>>del s
Destructor called

Class Inheritance
• In this example Shape is the base class and Circle is the derived class. The class Circle inherits the attributes of the Shape class.
• The child class Circle overrides the methods and attributes of the base class (eg. draw() function deﬁned in the base class Shape is overridden in child
class Circle).
# Examples of class inheritance
class Shape:
def __init__(self):
print "Base class constructor"
self.color = ’Green’
self.lineWeight = 10.0
def draw(self):
print "Draw - to be implemented"
def setColor(self, c):
self.color = c
def getColor(self):
return self.color
def setLineWeight(self,lwt):
self.lineWeight = lwt
def getLineWeight(self):
return self.lineWeight
class Circle(Shape):
def __init__(self, c,r):
print "Child class constructor"
self.center = c
self.radius = r
self.color = ’Green’
self.lineWeight = 10.0
self.__label = ’Hidden circle label’
def setCenter(self,c):
self.center = c
def getCenter(self):
return self.center
def setRadius(self,r):
self.radius = r
def getRadius(self):
return self.radius
def draw(self):
print "Draw Circle (overridden function)"
class Point:
def __init__(self, x, y):
self.xCoordinate = x
self.yCoordinate = y
def setXCoordinate(self,x):
self.xCoordinate = x
def getXCoordinate(self):
return self.xCoordinate
def setYCoordinate(self,y):
self.yCoordinate = y
def getYCoordinate(self):
return self.yCoordinate
>>>p = Point(2,4)
>>>circ = Circle(p,7)
Child class constructor
>>>circ.getColor()
’Green’
>>>circ.setColor(’Red’)
>>>circ.getColor()
’Red’
>>>circ.getLineWeight()
10.0
>>>circ.getCenter().getXCoordinate()
2
>>>circ.getCenter().getYCoordinate()
4
>>>circ.draw()
Draw Circle (overridden function)
>>>circ.radius
7

Further Reading
• Code Academy Python Tutorial, http://www.codecademy.com/tracks/python
• Google's Python Class, https://developers.google.com/edu/python/
• Python Quick Reference Cheat Sheet, http://www.addedbytes.com/cheat-sheets/python-cheat-sheet/
• PyCharm Python IDE, http://www.jetbrains.com/pycharm/

Chapter-6.pdf

More Related Content

What's hot (20)

Similar to Chapter-6.pdf (20)

More from ssuser01a3d0 (6)

Recently uploaded (20)

Chapter-6.pdf