SlideShare a Scribd company logo
Python Basics:
Statements
Expressions
Loops
Strings
Functions
Program
• A program is a sequence of instructions or
statements.
• To run a program is to:
– create the sequence of instructions according to
your design and the language rules
– turn that program into the binary commands the
processor understands
– give the binary code to the OS, so it can give it to
the processor
– OS tells the processor to run the program
– when finished (or it dies :-), OS cleans up.
Example Code Listing
# 1. prompt user for the radius,
# 2. apply the area formula
# 3. print the results
import math
radiusString = input("Enter the radius of your circle:")
radiusFloat = float(radiusString)
circumference = 2 * math.pi * radiusFloat
area = math.pi * radiusFloat * radiusFloat
print()
print("The cirumference of your circle is:",circumference,
", and the area is:",area)
Getting Input
The function: input(“Give me a value”)
• prints “Give me a value” on the screen and
waits until the user types something
(anything), ending with [Enter] key
• Warning! Input() returns a string (sequence
of characters), no matter what is given. (‘1’ is
not the same as 1, different types)
Convert from string to integer
• Python requires that you must convert a sequence
of characters to an integer
• Once converted, we can do math on the integers
Import of Math
• One thing we did was to import the math
module with import math
• This brought in python statements to
support math (try it in the python window)
• We precede all operations of math with
math.xxx
• math.pi, for example, is pi.
math.pow(x,y) raises x to the yth power.
Assignment Statement
The = sign is the assignment symbol
• The value on the right is associated with the
variable name on the left
• A variable is a named location that can store
values (information). A variable is somewhat
like a file, but is in memory not on the HD.
• = Does not stand for equality here!
• What “assignment” means is:
– evaluate all the “stuff” on the rhs (right-hand-side)
of the = and take the resulting value and
associate it with the name on the lhs (left-h-s)
Printing Output
myVar = 12
print(‘My var has a value of:’,myVar)
• print() function takes a list of elements to
print, separated by commas
– if the element is a string, prints it as is
– if the element is a variable, prints the value
associated with the variable
– after printing, moves on to a new line of output
Syntax
• Lexical components.
• A Python program is (like a hierarchy):.
– A module (perhaps more than one)
– A module is just a file of python commands
– Each module has python statements
– Statements may have expressions
– Statements are commands in Python.
– They perform some action, often called a side
effect, but do not return any values
– Expressions perform some operation and return
a value
Side Effects and Returns
• Make sure you understand the difference.
What is the difference between a side
effect and a return?
• 1 + 2 returns a value (it’s an expression).
You can “catch” the return value.
However, nothing else changed as a result
• print “hello” doesn’t return anything, but
something else - the side effect - did
happen. Something printed!
Whitespace
• white space are characters that don’t print
(blanks, tabs, carriage returns etc.
• For the most part, you can place “white
space” (spaces) anywhere in your program
• use it to make a program more readable
• However, python is sensitive to end of line
stuff. To make a line continue, use the 
print “this is a test”, 
“ of continuation”
prints
this is a test of continuation
Python
Tokens
Keywords:
You are
prevented
from using
them in a
variable name
and del from not while
as elif global or with
assert else if pass yield
break except import print
class exec in raise
continue finally is return
def for lambda try
Reserved operators in Python (expressions):
+ - * ** / // %
<< >> & | ^ ~
< > <= >= == != <>
Python Punctuators
• Python punctuation/delimiters ($ and ? not
allowed).
‘ “ # 
( ) [ ] { } @
, : . ` = ;
+= -= *= /= //= %=
&= |= ^= >>= <<= **=
Operators
• Integer
– addition and subtraction: +, -
– multiplication: *
– division
• quotient: //
• remainder: %
• Floating point
– add, subtract, multiply, divide: +, -, *, /
Loops: Repeating Statements
from turtle
import *
forward(100)
left(90)
forward(100)
left(90)
forward(100)
left(90)
forward(100)
Draw Square:
Repeat the following steps 4 times:
• Draw a line
• Turn left
from turtle import *
for count in range(4):
forward(100)
left(90)
While and For Statements
• The for statement is useful
for iteration, moving through
all the elements of data
structure, one at a time.
• The while statement is the
more general repetition
construct. It repeats a set of
statements while some
condition is True.
from turtle import *
for count in
range(4):
forward(100)
left(90)
from turtle import *
count=1
while count<=4:
forward(100)
left(90)
count=count+1
Range Function
• The range function generates a sequence
of integers
• range(5) => [0, 1, 2, 3, 4]
– assumed to start at 0
– goes up to, but does not include, the provided
number argument.
• range(3,10) => [3, 4, 5, 6, 7, 8, 9]
– first argument is the number to begin with
– second argument is the end limit (not included!)
Iterating Through the Sequence
for num in range(1,5):
print(num)
• range generates the sequence [1, 2, 3, 4]
• for loop assigns num each of the values in
the sequence, one at a time in sequence
• prints each number (one number per line)
• list(range(-5,5)) # in shell to show range
Sequence of Characters
• We’ve talked about strings being a
sequence of characters.
• A string is indicated between ‘ ‘ or “ “
• The exact sequence of characters is
maintained, including spaces.
• Does NOT include multiple lines
• Use backslash  for line continuation
And Then There is “““ ”””
• Triple quotes preserve both vertical
and horizontal formatting of the string
• Allow you to type tables, paragraphs,
whatever and preserve the formatting
(like <pre> tag in html)
“““this is
a test
of multiple lines”””
Strings
Can use single or double quotes:
• S = “spam”
• s = ‘spam’
Just don’t mix them!
• myStr = ‘hi mom”  ERROR
Inserting an apostrophe:
• A = “knight’s” # mix up the quotes
• B = ‘knight’s’ # escape single quote
The Index
• Because the elements of a string are a
sequence, we can associate each element
with an index, a location in the sequence:
– positive values count up from the left,
beginning with index 0
Accessing an Element
• A particular element of the string is accessed by
the index of the element surrounded by square
brackets [ ]
helloStr = ‘Hello World’
print helloStr[1] => prints ‘e’
print helloStr[-1] => prints ‘d’
print helloStr[11] => ERROR
Basic String Operations
• + is concatenation
newStr = ‘spam’ + ‘-’ + ‘spam-’
print newStr  spam-spam-
• * is repeat, the number is how many
times
newStr * 3 
spam-spam-spam-spam-spam-spam-
String Function: len
• The len function takes as an
argument a string and returns an
integer, the length of a string.
myStr = ‘Hello World’
len(myStr)  11 # space counts
Example
• A method represents a special program
(function) that is applied in the context of a
particular object.
• upper is the name of a string method. It
generates a new string of all upper case
characters of the string it was called with.
myStr = ‘Python Rules!’
myStr.upper()  ‘PYTHON RULES!’
• The string myStr called the upper() method,
indicated by the dot between them.
Functions
From mathematics we know that functions
perform some operation and return one value.
Why to use them?
• Support divide-and-conquer strategy
• Abstraction of an operation
• Reuse: once written, use again
• Sharing: if tested, others can use
• Security: if well tested, then secure for reuse
• Simplify code: more readable
Python Invocation
• Consider a function which converts temps. in
Celsius to temperatures in Fahrenheit:
–Formula: F = C * 1.8 + 32.0
• Math: f(C) = C*1.8 + 32.0
• Python
def celsius2Fahrenheit (C):
return C*1.8 + 32.0
Terminology: “C” is an argument to the
function
Return Statement
• Functions can have input (also called
arguments) and output (optional)
• The return statement indicates the
value that is returned by the function.
• The return statement is optional (a
function can return nothing). If no
return, the function may be called a
procedure.
from turtle import *
def draw_square (size):
for i in range (4):
forward (size)
right(90)
draw_square(25)
draw_square(125)
draw_square(75)
draw_square(55)

More Related Content

What's hot

Python for Beginners(v2)
Python for Beginners(v2)Python for Beginners(v2)
Python for Beginners(v2)
Panimalar Engineering College
 
C
CC
Java 8 streams
Java 8 streamsJava 8 streams
Java 8 streams
Manav Prasad
 
Algorithm analysis and design
Algorithm analysis and designAlgorithm analysis and design
Algorithm analysis and design
Megha V
 
Type header file in c++ and its function
Type header file in c++ and its functionType header file in c++ and its function
Type header file in c++ and its functionFrankie Jones
 
Python programming
Python  programmingPython  programming
Python programming
Ashwin Kumar Ramasamy
 
Matlab Functions
Matlab FunctionsMatlab Functions
Matlab Functions
Umer Azeem
 
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Edureka!
 
Python programming –part 3
Python programming –part 3Python programming –part 3
Python programming –part 3
Megha V
 
Strings v.1.1
Strings v.1.1Strings v.1.1
Strings v.1.1
BG Java EE Course
 
Functions in advanced programming
Functions in advanced programmingFunctions in advanced programming
Functions in advanced programming
VisnuDharsini
 
Library functions in c++
Library functions in c++Library functions in c++
Library functions in c++
Neeru Mittal
 

What's hot (13)

Python for Beginners(v2)
Python for Beginners(v2)Python for Beginners(v2)
Python for Beginners(v2)
 
C
CC
C
 
Java 8 streams
Java 8 streamsJava 8 streams
Java 8 streams
 
scripting in Python
scripting in Pythonscripting in Python
scripting in Python
 
Algorithm analysis and design
Algorithm analysis and designAlgorithm analysis and design
Algorithm analysis and design
 
Type header file in c++ and its function
Type header file in c++ and its functionType header file in c++ and its function
Type header file in c++ and its function
 
Python programming
Python  programmingPython  programming
Python programming
 
Matlab Functions
Matlab FunctionsMatlab Functions
Matlab Functions
 
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Python Functions Tutorial | Working With Functions In Python | Python Trainin...
Python Functions Tutorial | Working With Functions In Python | Python Trainin...
 
Python programming –part 3
Python programming –part 3Python programming –part 3
Python programming –part 3
 
Strings v.1.1
Strings v.1.1Strings v.1.1
Strings v.1.1
 
Functions in advanced programming
Functions in advanced programmingFunctions in advanced programming
Functions in advanced programming
 
Library functions in c++
Library functions in c++Library functions in c++
Library functions in c++
 

Similar to Python basics

Python language data types
Python language data typesPython language data types
Python language data types
James Wong
 
Python language data types
Python language data typesPython language data types
Python language data types
Harry Potter
 
Python language data types
Python language data typesPython language data types
Python language data types
Hoang Nguyen
 
Python language data types
Python language data typesPython language data types
Python language data types
Young Alista
 
Python language data types
Python language data typesPython language data types
Python language data types
Luis Goldster
 
Python language data types
Python language data typesPython language data types
Python language data types
Tony Nguyen
 
Python language data types
Python language data typesPython language data types
Python language data types
Fraboni Ec
 
Python.pdf
Python.pdfPython.pdf
Python.pdf
Shivakumar B N
 
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
sangeeta borde
 
Functions, List and String methods
Functions, List and String methodsFunctions, List and String methods
Functions, List and String methods
PranavSB
 
Aggregate.pptx
Aggregate.pptxAggregate.pptx
Aggregate.pptx
Ramakrishna Reddy Bijjam
 
ProgFund_Lecture_4_Functions_and_Modules-1.pdf
ProgFund_Lecture_4_Functions_and_Modules-1.pdfProgFund_Lecture_4_Functions_and_Modules-1.pdf
ProgFund_Lecture_4_Functions_and_Modules-1.pdf
lailoesakhan
 
functions modules and exceptions handlings.ppt
functions modules and exceptions handlings.pptfunctions modules and exceptions handlings.ppt
functions modules and exceptions handlings.ppt
Rajasekhar364622
 
Python Workshop - Learn Python the Hard Way
Python Workshop - Learn Python the Hard WayPython Workshop - Learn Python the Hard Way
Python Workshop - Learn Python the Hard Way
Utkarsh Sengar
 
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docxISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
priestmanmable
 
Basic concept of Python.pptx includes design tool, identifier, variables.
Basic concept of Python.pptx includes design tool, identifier, variables.Basic concept of Python.pptx includes design tool, identifier, variables.
Basic concept of Python.pptx includes design tool, identifier, variables.
supriyasarkar38
 
Unit I - 1R introduction to R program.pptx
Unit I - 1R introduction to R program.pptxUnit I - 1R introduction to R program.pptx
Unit I - 1R introduction to R program.pptx
SreeLaya9
 
Python Basics
Python BasicsPython Basics
Python Basics
tusharpanda88
 
lecture 2.pptx
lecture 2.pptxlecture 2.pptx
lecture 2.pptx
Anonymous9etQKwW
 

Similar to Python basics (20)

Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python language data types
Python language data typesPython language data types
Python language data types
 
Python.pdf
Python.pdfPython.pdf
Python.pdf
 
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
2022-23TYBSC(CS)-Python Prog._Chapter-1.pptx
 
Functions, List and String methods
Functions, List and String methodsFunctions, List and String methods
Functions, List and String methods
 
Aggregate.pptx
Aggregate.pptxAggregate.pptx
Aggregate.pptx
 
ProgFund_Lecture_4_Functions_and_Modules-1.pdf
ProgFund_Lecture_4_Functions_and_Modules-1.pdfProgFund_Lecture_4_Functions_and_Modules-1.pdf
ProgFund_Lecture_4_Functions_and_Modules-1.pdf
 
functions modules and exceptions handlings.ppt
functions modules and exceptions handlings.pptfunctions modules and exceptions handlings.ppt
functions modules and exceptions handlings.ppt
 
Python Workshop - Learn Python the Hard Way
Python Workshop - Learn Python the Hard WayPython Workshop - Learn Python the Hard Way
Python Workshop - Learn Python the Hard Way
 
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docxISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docx
 
Basic concept of Python.pptx includes design tool, identifier, variables.
Basic concept of Python.pptx includes design tool, identifier, variables.Basic concept of Python.pptx includes design tool, identifier, variables.
Basic concept of Python.pptx includes design tool, identifier, variables.
 
Unit I - 1R introduction to R program.pptx
Unit I - 1R introduction to R program.pptxUnit I - 1R introduction to R program.pptx
Unit I - 1R introduction to R program.pptx
 
Python Basics
Python BasicsPython Basics
Python Basics
 
Python
PythonPython
Python
 
lecture 2.pptx
lecture 2.pptxlecture 2.pptx
lecture 2.pptx
 

More from Luis Goldster

Ruby on rails evaluation
Ruby on rails evaluationRuby on rails evaluation
Ruby on rails evaluation
Luis Goldster
 
Design patterns
Design patternsDesign patterns
Design patterns
Luis Goldster
 
Lisp and scheme i
Lisp and scheme iLisp and scheme i
Lisp and scheme i
Luis Goldster
 
Ado.net &amp; data persistence frameworks
Ado.net &amp; data persistence frameworksAdo.net &amp; data persistence frameworks
Ado.net &amp; data persistence frameworks
Luis Goldster
 
Multithreading models.ppt
Multithreading models.pptMultithreading models.ppt
Multithreading models.ppt
Luis Goldster
 
Business analytics and data mining
Business analytics and data miningBusiness analytics and data mining
Business analytics and data mining
Luis Goldster
 
Big picture of data mining
Big picture of data miningBig picture of data mining
Big picture of data mining
Luis Goldster
 
Data mining and knowledge discovery
Data mining and knowledge discoveryData mining and knowledge discovery
Data mining and knowledge discovery
Luis Goldster
 
Directory based cache coherence
Directory based cache coherenceDirectory based cache coherence
Directory based cache coherence
Luis Goldster
 
Hardware managed cache
Hardware managed cacheHardware managed cache
Hardware managed cache
Luis Goldster
 
How analysis services caching works
How analysis services caching worksHow analysis services caching works
How analysis services caching works
Luis Goldster
 
Abstract data types
Abstract data typesAbstract data types
Abstract data types
Luis Goldster
 
Optimizing shared caches in chip multiprocessors
Optimizing shared caches in chip multiprocessorsOptimizing shared caches in chip multiprocessors
Optimizing shared caches in chip multiprocessors
Luis Goldster
 
Object oriented analysis
Object oriented analysisObject oriented analysis
Object oriented analysis
Luis Goldster
 
Concurrency with java
Concurrency with javaConcurrency with java
Concurrency with java
Luis Goldster
 

More from Luis Goldster (20)

Ruby on rails evaluation
Ruby on rails evaluationRuby on rails evaluation
Ruby on rails evaluation
 
Design patterns
Design patternsDesign patterns
Design patterns
 
Lisp and scheme i
Lisp and scheme iLisp and scheme i
Lisp and scheme i
 
Ado.net &amp; data persistence frameworks
Ado.net &amp; data persistence frameworksAdo.net &amp; data persistence frameworks
Ado.net &amp; data persistence frameworks
 
Multithreading models.ppt
Multithreading models.pptMultithreading models.ppt
Multithreading models.ppt
 
Business analytics and data mining
Business analytics and data miningBusiness analytics and data mining
Business analytics and data mining
 
Big picture of data mining
Big picture of data miningBig picture of data mining
Big picture of data mining
 
Data mining and knowledge discovery
Data mining and knowledge discoveryData mining and knowledge discovery
Data mining and knowledge discovery
 
Cache recap
Cache recapCache recap
Cache recap
 
Directory based cache coherence
Directory based cache coherenceDirectory based cache coherence
Directory based cache coherence
 
Hardware managed cache
Hardware managed cacheHardware managed cache
Hardware managed cache
 
How analysis services caching works
How analysis services caching worksHow analysis services caching works
How analysis services caching works
 
Abstract data types
Abstract data typesAbstract data types
Abstract data types
 
Optimizing shared caches in chip multiprocessors
Optimizing shared caches in chip multiprocessorsOptimizing shared caches in chip multiprocessors
Optimizing shared caches in chip multiprocessors
 
Api crash
Api crashApi crash
Api crash
 
Object model
Object modelObject model
Object model
 
Abstraction file
Abstraction fileAbstraction file
Abstraction file
 
Object oriented analysis
Object oriented analysisObject oriented analysis
Object oriented analysis
 
Abstract class
Abstract classAbstract class
Abstract class
 
Concurrency with java
Concurrency with javaConcurrency with java
Concurrency with java
 

Recently uploaded

Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 

Recently uploaded (20)

Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 

Python basics

  • 2. Program • A program is a sequence of instructions or statements. • To run a program is to: – create the sequence of instructions according to your design and the language rules – turn that program into the binary commands the processor understands – give the binary code to the OS, so it can give it to the processor – OS tells the processor to run the program – when finished (or it dies :-), OS cleans up.
  • 3. Example Code Listing # 1. prompt user for the radius, # 2. apply the area formula # 3. print the results import math radiusString = input("Enter the radius of your circle:") radiusFloat = float(radiusString) circumference = 2 * math.pi * radiusFloat area = math.pi * radiusFloat * radiusFloat print() print("The cirumference of your circle is:",circumference, ", and the area is:",area)
  • 4. Getting Input The function: input(“Give me a value”) • prints “Give me a value” on the screen and waits until the user types something (anything), ending with [Enter] key • Warning! Input() returns a string (sequence of characters), no matter what is given. (‘1’ is not the same as 1, different types) Convert from string to integer • Python requires that you must convert a sequence of characters to an integer • Once converted, we can do math on the integers
  • 5. Import of Math • One thing we did was to import the math module with import math • This brought in python statements to support math (try it in the python window) • We precede all operations of math with math.xxx • math.pi, for example, is pi. math.pow(x,y) raises x to the yth power.
  • 6. Assignment Statement The = sign is the assignment symbol • The value on the right is associated with the variable name on the left • A variable is a named location that can store values (information). A variable is somewhat like a file, but is in memory not on the HD. • = Does not stand for equality here! • What “assignment” means is: – evaluate all the “stuff” on the rhs (right-hand-side) of the = and take the resulting value and associate it with the name on the lhs (left-h-s)
  • 7. Printing Output myVar = 12 print(‘My var has a value of:’,myVar) • print() function takes a list of elements to print, separated by commas – if the element is a string, prints it as is – if the element is a variable, prints the value associated with the variable – after printing, moves on to a new line of output
  • 8. Syntax • Lexical components. • A Python program is (like a hierarchy):. – A module (perhaps more than one) – A module is just a file of python commands – Each module has python statements – Statements may have expressions – Statements are commands in Python. – They perform some action, often called a side effect, but do not return any values – Expressions perform some operation and return a value
  • 9. Side Effects and Returns • Make sure you understand the difference. What is the difference between a side effect and a return? • 1 + 2 returns a value (it’s an expression). You can “catch” the return value. However, nothing else changed as a result • print “hello” doesn’t return anything, but something else - the side effect - did happen. Something printed!
  • 10. Whitespace • white space are characters that don’t print (blanks, tabs, carriage returns etc. • For the most part, you can place “white space” (spaces) anywhere in your program • use it to make a program more readable • However, python is sensitive to end of line stuff. To make a line continue, use the print “this is a test”, “ of continuation” prints this is a test of continuation
  • 11. Python Tokens Keywords: You are prevented from using them in a variable name and del from not while as elif global or with assert else if pass yield break except import print class exec in raise continue finally is return def for lambda try Reserved operators in Python (expressions): + - * ** / // % << >> & | ^ ~ < > <= >= == != <>
  • 12. Python Punctuators • Python punctuation/delimiters ($ and ? not allowed). ‘ “ # ( ) [ ] { } @ , : . ` = ; += -= *= /= //= %= &= |= ^= >>= <<= **=
  • 13. Operators • Integer – addition and subtraction: +, - – multiplication: * – division • quotient: // • remainder: % • Floating point – add, subtract, multiply, divide: +, -, *, /
  • 14. Loops: Repeating Statements from turtle import * forward(100) left(90) forward(100) left(90) forward(100) left(90) forward(100) Draw Square: Repeat the following steps 4 times: • Draw a line • Turn left from turtle import * for count in range(4): forward(100) left(90)
  • 15. While and For Statements • The for statement is useful for iteration, moving through all the elements of data structure, one at a time. • The while statement is the more general repetition construct. It repeats a set of statements while some condition is True. from turtle import * for count in range(4): forward(100) left(90) from turtle import * count=1 while count<=4: forward(100) left(90) count=count+1
  • 16. Range Function • The range function generates a sequence of integers • range(5) => [0, 1, 2, 3, 4] – assumed to start at 0 – goes up to, but does not include, the provided number argument. • range(3,10) => [3, 4, 5, 6, 7, 8, 9] – first argument is the number to begin with – second argument is the end limit (not included!)
  • 17. Iterating Through the Sequence for num in range(1,5): print(num) • range generates the sequence [1, 2, 3, 4] • for loop assigns num each of the values in the sequence, one at a time in sequence • prints each number (one number per line) • list(range(-5,5)) # in shell to show range
  • 18. Sequence of Characters • We’ve talked about strings being a sequence of characters. • A string is indicated between ‘ ‘ or “ “ • The exact sequence of characters is maintained, including spaces. • Does NOT include multiple lines • Use backslash for line continuation
  • 19. And Then There is “““ ””” • Triple quotes preserve both vertical and horizontal formatting of the string • Allow you to type tables, paragraphs, whatever and preserve the formatting (like <pre> tag in html) “““this is a test of multiple lines”””
  • 20. Strings Can use single or double quotes: • S = “spam” • s = ‘spam’ Just don’t mix them! • myStr = ‘hi mom”  ERROR Inserting an apostrophe: • A = “knight’s” # mix up the quotes • B = ‘knight’s’ # escape single quote
  • 21. The Index • Because the elements of a string are a sequence, we can associate each element with an index, a location in the sequence: – positive values count up from the left, beginning with index 0
  • 22. Accessing an Element • A particular element of the string is accessed by the index of the element surrounded by square brackets [ ] helloStr = ‘Hello World’ print helloStr[1] => prints ‘e’ print helloStr[-1] => prints ‘d’ print helloStr[11] => ERROR
  • 23. Basic String Operations • + is concatenation newStr = ‘spam’ + ‘-’ + ‘spam-’ print newStr  spam-spam- • * is repeat, the number is how many times newStr * 3  spam-spam-spam-spam-spam-spam-
  • 24. String Function: len • The len function takes as an argument a string and returns an integer, the length of a string. myStr = ‘Hello World’ len(myStr)  11 # space counts
  • 25. Example • A method represents a special program (function) that is applied in the context of a particular object. • upper is the name of a string method. It generates a new string of all upper case characters of the string it was called with. myStr = ‘Python Rules!’ myStr.upper()  ‘PYTHON RULES!’ • The string myStr called the upper() method, indicated by the dot between them.
  • 26. Functions From mathematics we know that functions perform some operation and return one value. Why to use them? • Support divide-and-conquer strategy • Abstraction of an operation • Reuse: once written, use again • Sharing: if tested, others can use • Security: if well tested, then secure for reuse • Simplify code: more readable
  • 27. Python Invocation • Consider a function which converts temps. in Celsius to temperatures in Fahrenheit: –Formula: F = C * 1.8 + 32.0 • Math: f(C) = C*1.8 + 32.0 • Python def celsius2Fahrenheit (C): return C*1.8 + 32.0 Terminology: “C” is an argument to the function
  • 28. Return Statement • Functions can have input (also called arguments) and output (optional) • The return statement indicates the value that is returned by the function. • The return statement is optional (a function can return nothing). If no return, the function may be called a procedure.
  • 29.
  • 30. from turtle import * def draw_square (size): for i in range (4): forward (size) right(90) draw_square(25) draw_square(125) draw_square(75) draw_square(55)