Quick introduction to coding using Python.. Covers data types, data structures, variables, assignment, selection, iteration, classes, objects and subclasses.

1. PYN101 – Quick Introduction to Coding Using
Python
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2. Quick Introduction to coding using Python
• If you have not done so already please fill out your student
questionnaire online as shown or submit them to your
instructor
• Enjoy programming in Python!

3. PYN101 Quick Introduction to Coding using
Python
• Introduction (s)
• Facilities
• Course Packet (May vary by course and class)
– Student Questionnaire
– Collaterals (Maps, Catalog, Etc.)
– PowerPoint slide deck
– Evaluation form
– Training certificate

4. 4

5. Quick Introduction to Coding Using Python
I. Introduction to Programming
II. Creating Simple Programs
III. Creating Programs Using Functions
IV. Implementing the Object-Oriented Methodology
V. Handling Programming Errors

6. I. Introduction to Programming
 History
 Programming Environments
 Overview of Programming
 Introduction to the Software Development Life Cycle

7. Copyright © 2011 Element K Content LLC. All rights reserved.
History of Python

8. Programming Environments

9. Program
salary1=1000
salary2=2000
sum=salary1 + salary2
print("The sum of two salaries is: {}".format(sum))
isSal2Larger = salary1 > salary2
print("Salary2 is larger than salary 1: {}".format(isSal2Larger))
serviceYears1 = 10
serviceYears2 = 5
isYears2Longer = serviceYears2 > serviceYears1
print("Salary2 is larger than salary 1 because their years of
service is longer: {} ".
format(isSal2Larger and isYears2Longer))
Program Interpreter Results
Program written in
scripting language
Program written in
scripting language
Program displays
results
Program displays
results
Instructions
(statements) written
in Python
Instructions
(statements) written
in Python

10. Syntax
Keyword used to
create a class
Keyword used to
create a class
Punctuation used to create a
Statement block
Punctuation used to create a
Statement blockclass EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Statements indented
inside block
Statements indented
inside block

11. The Programming Life Cycle
Coding
Executing
Debugging
Program containing
an error
Program containing
an error
Instructions written in
a scripting language
Instructions written in
a scripting language
Internal BytecodeInternal BytecodeSource codeSource code

12. The Python Platform Process
Edit
Verify
Load
Interpret
Phases in the Python
platform process
Phases in the Python
platform process

13. The Software Development Life Cycle
Maintenance
Testing
Analysis
Software Development
Life Cycle
Implementation Development
Design

14. Reflective Questions
1. Which programming methodologies do you suggest for your
organization?
2. Will you follow the SDLC approach to developing software in your
company? Why?

15. II. Creating Simple Programs
 Work with Variables
 Work with Operators
 Control Program Execution
 Work with Lists

16. Variables
salary = 1750
if salary > 2500:
print ("Salary is greater than 2500")
else:
print ("Salary is less than 2500")
Variable NameVariable Name
Value stored
in the variable
Value stored
in the variable

17. Operators
salary1=1000
salary2=2000
sum=salary1 + salary2
print ("The sum of the two salaries is %6.2f" % sum)
Expression used to
calculate the sum of
salaries. The result
always on the left.
Expression used to
calculate the sum of
salaries. The result
always on the left.
OperandOperand
Data used in the
expression
Data used in the
expression
The addition operatorThe addition operator

18. The if Statement
salary = 1750
if salary > 2500:
print("nSalary is greater than 2500")
salary = salary + (0.03 * salary)
Keyword used to
create an if
conditional statement
Keyword used to
create an if
conditional statement
Action StatementAction Statement
Test conditionTest condition

19. The if...else Statement
salary = 1750
if salary > 2500:
print("nSalary is greater than 2500")
salary = salary + (0.03 * salary)
else:
print("nSalary is less than 2500")
salary = salary + (0.05 * salary)
print("Adjusted salary: {}".format(salary))
Test conditionTest condition
Keyword used to
create if block
Keyword used to
create if block
Keyword used to
create else block
Keyword used to
create else block
Statements to execute
when the test
condition returns true
Statements to execute
when the test
condition returns true
Statements to execute
when the test
condition returns false
Statements to execute
when the test
condition returns false

20. The elif Statement
if day == 1:
print ("Monday")
elif day == 2:
print ("Tuesday")
elif day == 3:
print ("Wednesday")
elif day == 4:
print ("Thursday")
elif day == 5:
print ("Friday")
elif day == 6:
print ("Saturday")
elif day == 7:
print ("Sunday")
else:
print ("Invalid day value")
Declared with the
elif keyword
Declared with the
elif keyword
Default statementDefault statement
Repeated elif
statements
Repeated elif
statements
Test conditionTest condition

21. The while Loop
counter = 10
i = 1
#while loop - tests before entering the loop
#make sure the loop variables are initialized
print ("Basic while loop")
while i <= counter:
print("i = {}".format(i))
i = i + 1
Statements to execute
when the test condition
returns true
Statements to execute
when the test condition
returns true
Declared with the
while keyword
Declared with the
while keyword
Test conditionTest condition
Note: there is no do …while … in Python

22. The for Loop
sum = 0
counter = 15
for i in range(1,counter+1):
sum = sum + i;
print("i = {}".format(sum))
Statement(s) executed
while variable within
sequence range
Statement(s) executed
while variable within
sequence range
Iterating variable declarationIterating variable declaration sequence
expression
sequence
expression
Declared with the
for keyword
Declared with the
for keyword

23. Lists
marks = [85, 60, 78, 73, 84]
1 2 30
6085 78 73 84
4
List elementsList elements
List initializationList initialization
List nameList name
List IndexList Index
Graphical representation
of list
Graphical representation
of list

24. Multidimensional Lists
salary2 =[[12000, 13000,14000], [10000,15000,2000]]
tmpsalary = salary2[1][2]
LIst IndexLIst Index
1300012000 14000
1500010000 20000
0100 02
1110 12
Value stored in
the list element
Value stored in
the list element
Graphical representation
of a two-dimensional list
Graphical representation
of a two-dimensional list
List elementsList elements
LIst nameLIst name

25. Other data structures
• Tuples
t=(12,15,90)
• Dictionaries
d={“name”:”dan”, “phone”:123-456-7890”}
• Sets
• And more
• We will cover these in our more formal programming classes
• There are also modules for manipulating datasets and big data

26. Reflective Questions
1. What factors do you consider when you declare a variable?
2. How do arrays help you in your job role?

27. III. Creating Programs Using Functions
 Create Functions
 Work with Built-in Functions

28. Functions
def calcNetSalary(allowance, sal):
deduction = allowance/100 * sal
print ("The deduction is ${:,.2f}".format(deduction))
netSal = sal - deduction
return netSal
Method bodyMethod body
DeclarationDeclaration
Method nameMethod name ParametersParameters

29. Function Calls
def print_salary():
#initialize variables
salary = 12000.0
print("The current salary is ${:,.2f}".format(salary))
#calculate net salary by calling a function
netSalary = calcNetSalary(5, salary)
print("The net salary is ${:,.2f}".format(netSalary))
#function to calculate the net salary
def calcNetSalary(allowance, sal):
deduction = allowance/100 * sal
print ("The deduction is ${:,.2f}".format(deduction))
netSal = sal - deduction
return netSal
Function callFunction call
Function
declaration
Function
declaration

30. Importing modules
import os
print (os.getcwd())
print (os.listdir('.'))
Import declarationImport declaration
Function callsFunction calls
The Python ecosystem includes a huge library of functions across
many domains. This is one of Python’s strong points and is a major
reason for its popularity.

31. Reflective Questions
1. In what ways does importing modules help you in your job role?
Discuss.
2. Why would you prefer built-in functions rather than defining your
own functions? Discuss.

32. IV. Implementing the Object-Oriented
Methodology
 Create a Class
 Create an Object
 Create a Constructor
 Create a Subclass

33. Classes
class EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Methods in
the class
Methods in
the class
Class name preceded by
the class keyword
Class name preceded by
the class keyword
Instance
variables
Instance
variables

34. Objects
import employeedetails as ed
#create employee object
empObj = ed.EmployeeDetails()
#get id and name
id=int(input("Please enter employee id: "))
name=input("Please enter employee name: ")
sal=input("PLease enter salary: ")
#calc net salary
empObj.init(id,name,sal)
netSal=empObj.computeNetSal()
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (name, id, netSal))
Object nameObject name
Data stored
in object
empObj
Data stored
in object
empObj
Object used to store
employee data
Object used to store
employee data
data for
employee
data for
employee
Class nameClass name

35. The self Keyword
class EmployeeDetails:
#class methods
#initialize instance variables
def init (self, num, name, sal):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Class nameClass name
The self keyword
used to access
instance variables
from within a method
The self keyword
used to access
instance variables
from within a method

36. Constructors
class EmployeeDetails2:
#class methods
#constructor (initializer) with defaults
def __init__(self, num=0, name='Unknown', sal=0.0):
self.empNo = num
self.empName = name
self.salary = float(sal)
def computeAllow(self):
return self.salary * 0.05
def computeNetSal(self):
return self.salary - self.computeAllow()
def getName(self):
return self.empName
Class nameClass name
Code to initialize the
class
Code to initialize the
class
Constructor parametersConstructor parameters
ConstructorConstructor

37. Objects using constructor
import employeedetails2 as ed
#get id and name
id=int(input("Please enter employee id: "))
name=input("Please enter employee name: ")
sal=input("Please enter salary: ")
#create employee object using constructor
empObj = ed.EmployeeDetails2(id,name,sal)
#calc net salary
netSal=empObj.computeNetSal()
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (name, id, netSal))
Data stored
in object
empObj
Data stored
in object
empObj
Object nameObject name
Class nameClass name
Object nameObject name

38. Subclasses
from employeedetails2 import EmployeeDetails2
class ProjectMgr(EmployeeDetails2):
#class methods
#constructor (calls superclass) with defaults
def __init__(self, num=0, name='Unknown',
sal=0.0, sub=0):
super().__init__(num, name, sal)
self.numSubordinates = sub
#override calculate net salary
#replace allowance with bonus
def computeNetSal(self):
return self.salary + self.salary * 0.10
#new method to get nbr of subordinates
def getSubordinates(self):
return self.numSubordinates
Keyword used to
call superclass
Keyword used to
call superclass
SubclassSubclass Parent
(super) class
Parent
(super) class
Default values for
constructor
Default values for
constructor
overidden methodoveridden method
New method
extends
functionality
New method
extends
functionality

39. Instantiate subclass
import projectmgr as pm
#get id and name
id=int(input("Please enter employee id: "))
if id != 0:
name=input("Please enter employee name: ")
sal=input("Please enter salary: ")
subs=int(input("Please enter # subordinates: "))
#create employee object
pmObj = pm.ProjectMgr(id, name, sal, subs)
else:
pmObj = pm.ProjectMgr()
#calc net salary
print ("Employee details...")
print ("%s with id %d has a salary of $%6.2f"
% (pmObj.getName(), id, pmObj.computeNetSal()))
print ("%s with id %d has a %d subordinates"
% (pmObj.getName(), id, pmObj.getSubordinates()))
Create pm object
with arguments
Create pm object
with arguments
Get values for
constructor
Get values for
constructor
Crate default pm
object
Crate default pm
object
Call methods,;
note getName is in
Call methods,;
note getName is in

40. Reflective Questions
1. Discuss the advantages of using objects in your program.
2. In what ways does method overloading and overriding help you as
you create software in your job role?

41. Quick introduction to coding using Python
• Please fill out your evaluations online as shown or submit
them to your instructor
• Enjoy programming in Python!