A program is a sequence of instructions that are run by the processor. To run a program, it must be compiled into binary code and given to the operating system. The OS then gives the code to the processor to execute. Functions allow code to be reused by defining operations and returning values. Strings are sequences of characters that can be manipulated using indexes and methods. Common string methods include upper() and concatenation using +.
First in the series of slides for python programming, covering topics like programming language, python programming constructs, loops and control statements.
following is work on Advance Python part 1 Functional Programming in Python
for code and more details plz do visit
https://lnkd.in/dnQF95z
for more free study material and Projects follow on
Github
https://lnkd.in/gYKtuB3
LinkedIn
https://lnkd.in/daSvf_P
#python #datascience #programming #machinelearning #github #deeplearning #coding #developer #projects #work #developers #linkedin #google #amazonindia#IBM
First in the series of slides for python programming, covering topics like programming language, python programming constructs, loops and control statements.
following is work on Advance Python part 1 Functional Programming in Python
for code and more details plz do visit
https://lnkd.in/dnQF95z
for more free study material and Projects follow on
Github
https://lnkd.in/gYKtuB3
LinkedIn
https://lnkd.in/daSvf_P
#python #datascience #programming #machinelearning #github #deeplearning #coding #developer #projects #work #developers #linkedin #google #amazonindia#IBM
This slide includes: Control Flow and Functions.
That is Boolean values and operators.
It include Iteration,Fruitful functions,Scope of Variable and Modules.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
This slide includes: Control Flow and Functions.
That is Boolean values and operators.
It include Iteration,Fruitful functions,Scope of Variable and Modules.
Python Functions Tutorial | Working With Functions In Python | Python Trainin...Edureka!
** Python Certification Training: https://www.edureka.co/python **
This Edureka PPT on Python Functions tutorial covers all the important aspects of functions in Python right from the introduction to what functions are, all the way till checking out the major functions and using the code-first approach to understand them better.
Agenda
Why use Functions?
What are the Functions?
Types of Python Functions
Built-in Functions in Python
User-defined Functions in Python
Python Lambda Function
Conclusion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language.
Make use of the PPT to have a better understanding of Python.
This is the third presentation in pySIG 2015 @ BMS College of Engineering, Bangalore. The code and assignments can be found at https://github.com/pranavsb
ISTA 130 Lab 21 Turtle ReviewHere are all of the turt.docxpriestmanmable
ISTA 130: Lab 2
1 Turtle Review
Here are all of the turtle functions we have utilized so far in this course:
turtle.forward(distance) – Moves the turtle forward in the direction it is currently facing the distance
entered
turtle.backward(distance) – Same as forward but it moves in the opposite direction the turtle is facing
turtle.right(degrees) – Roates the turtle to the right by the degrees enteres
turtle.left(degrees) – Same as right, but it rotates the turtle to the left
turtle.pensize(size) – Adjusts the size of the line left by the turtle to whatever value is entered for size
turtle.home() – Moves the turtle to the default location and faces it to the right
turtle.clear() – Clears all the lines that were left by the turtle in the window.
turtle.penup() – Causes the turtle to stop leaving lines (until pen is placed back down)
turtle.pendown() – Places the pen back down to the turtle can continue leaving lines when forward and
backward are called.
turtle.pencolor(color string) – Changes the color of the lines left by the turtle to whatever color string
entered (so long as Python recognizes it).
turtle.bgcolor(color string) – Changes the background color for the window that the turtle draws in.
turtle.speed(new speed) – Changes the speed at which the turtle moves to whatever newSpeed is.
turtle.clearscreen() – Deletes all drawings and turtles from the screen, leaving it in its initial state
Note that abbreviations also exist for many of these functions; for example:
� turtle.fd(distance)
� turtle.rt(degrees)
� turtle.pu()
1
2 Functions and Parameters
Here is the square function we looked at yesterday:
def square(side_length):
’’’
Draws a square given a numerical side_length
’’’
turtle.forward(side_length)
turtle.right(90)
turtle.forward(side_length)
turtle.right(90)
turtle.forward(side_length)
turtle.right(90)
turtle.forward(side_length)
turtle.right(90)
return
square(50) # This would give side_length the value of 50
square(100) # This would give side_length the value of 100
print side_length # This will give an error because side_length
# only exists inside the function!
Try it out:
(1 pt.) Create a new file called lab02.py. In this file, create a simple function called rhombus. It
will take one parameter, side length. Using this parameter, have your function create a rhombus
using turtle graphics. Call your rhombus function in the script. What happens if you provide no
arguments to the function? Two or three arguments?
Then, modify your rhombus function so it takes another argument for the angle inside the
rhombus.
3 Data types
Python recognizes many different types of values when working with data. These can be numbers,
strings of characters, or even user defined objects. For the time being, however, were only going to
focus on three of the data types:
integer – These are whole numbers, both positive and negative. Examples are 5000, 0, and -25
float – These are numbers that are followed by a decimal poi ...
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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):
+ - * ** / // %
<< >> & | ^ ~
< > <= >= == != <>
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)