Loops in Python

Nov 17, 2021Download as PPTX, PDF1 like4,826 views

This document discusses loops in Python. It introduces loops as a way to repeat instructions multiple times until a condition is met. The two main types of loops in Python are for loops, which iterate over a sequence, and while loops, which execute statements as long as a condition is true. It provides examples of for and while loops and covers else statements, loop control statements like break and continue, and some key points about loops in Python.

hello!
I am Abhay Dhupar
I am here to teach you about LOOPS in Python.
You can find me at @abhaydhupar123@gmail.com
2

Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
Airplane Airplane Airplane Airplane Airplane Airplane
3

What are Loops ?
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
print("Abhay")
4
Consider I want to print my name 10 times.
print("Abhay")
OR

A loop is used to repeat an instruction multiple times until a
condition goes wrong.
5
“

There are two primitive loop types in Python –
6
Types of Loops in Python
For in
loop
While
loop

A for in loop is used for iterating over a sequence (that is either a
list, a tuple, a dictionary, a set, or a string)
7
For in Loops
Syntax –
for counter in sequence :
statement(s)

A while loop is used to execute a set of statements as long as a
condition is true.
8
While Loops
Syntax –
while condition :
statement(s)

# for in loop
iterable_objs = range(6)
for iterator in iterable_objs:
print(iterator)
9
# while loop
i = 42
while not(i<=10):
print(i)
i -= 7

With the else statement, we can run a block of code once a
condition is no longer true.
10
The else Statement
Syntax –
while condition :
statement(s)
else :
statement(s)

Loop control statements change execution from its normal
sequence. There are 3 types –
11
Loop Control Statements
break
statement
continue
statement
pass
statement

# Break
for x in range(6):
if x==4:
break
print(x)
# Continue
for y in "Abhay":
if y=='h':
continue
print(y)
# Pass
mylist = [1,2,5,8,6,3]
for c in mylist:
pass
12

For in loop default increments by 1.
Else statement in loop won’t work if the loop is terminated
by break statement.
Nested loop is a type of non primitive loops in python.
In this, we can use multiple for or while loops inside a for or
while loop.
13
Points to be noted

Let’s review Today’s Learning
What is Loops in Python?
In this, we have understood the
basic meaning of loop and have
gone through definition of loops.
Benefits of using Loop
Here we have gone through some
examples which cleared why loops
are efficient and less time
consuming.
Types of Loop in Python
We have learned the two primitive
types of loops in Python and their
implementation.
Else statement in Loop
Here we have learned about the else
statement. It’s implementation and
where it works.
Loop Control Statements
Here, we have gone through the
three different loop statements in
Python. How and where they are
used.
Points to be noted
Here we have covered some extra
points related to our topics.
14

thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
thanks! thanks! thanks! thanks! thanks! thanks! thanks!
15

In this PPT you will learn how to use looping in python. For more presentation in any subject please contact us on [email protected]. You get a new presentation every Sunday at 10 AM. Learn more about Python by clicking on given below link Python Introduction- https://www.slideshare.net/RaginiJain21/final-presentation-on-python Basic concept of Python -https://www.slideshare.net/RaginiJain21/python-second-ppt Python Datatypes - https://www.slideshare.net/RaginiJain21/data-types-in-python-248466302 Python Library & Module - https://www.slideshare.net/RaginiJain21/python-libraries-and-modules Basic Python Programs- https://www.slideshare.net/RaginiJain21/basic-python-programs Python Media Libarary - https://www.slideshare.net/RaginiJain21/python-media-library

Python for loopAishwarya Deshmukh

The document discusses for loops in Python. It explains that for loops are used to iterate over sequences like lists, tuples, and strings. There are two types of for loops: 1) Getting each element of the sequence, and 2) Using the range() function to generate a sequence of numbers to use as indexes. The document provides examples of iterating over lists and strings using for loops, and using break and continue statements to control loop behavior. It also explains how to use the range() function to generate a sequence of numbers for iteration.

DBMS Notes.pdfshubhampatel67739

DBMS allows users to manage databases. It provides interfaces to perform operations like creating databases, storing and updating data. Common DBMS include MySQL, Oracle, and SQL Server. The document then discusses different database models like hierarchical, network, relational and NoSQL databases. It also covers database concepts like data definition, data retrieval, data types, database normalization and database security.

Joins in SQLVigneshwaran Sankaran

Data types in pythonRaginiJain21

The document discusses Python data types. It describes the numeric data types integer, float, and complex which are used to represent numbers. Integer is a whole number without decimals, float has decimals, and complex numbers have real and imaginary parts. None is described as a null value. Strings are arrays of characters and can be indexed. Tuples and lists are ordered collections that can hold heterogeneous data types. Sets are unordered collections of unique items. Dictionaries are unordered collections of key-value pairs that allow accessing values via keys.

Python Loops Tutorial | Python For Loop | While Loop Python | Python Training...Edureka!

This document discusses loops in Python. It begins by explaining why loops are useful, such as for payroll processing to calculate salaries and bonuses for multiple employees. It then defines loops as allowing code to execute repeatedly based on conditional statements. The document outlines the main types of loops in Python - while loops, for loops, and nested loops. While loops iterate until a condition is false, for loops iterate a specified number of times, and nested loops involve loops within other loops. Examples are provided for each loop type, such as a guessing game to demonstrate a while loop and calculating factorials with a for loop.

List,tuple,dictionarynitamhaske

The document discusses Python's four main collection data types: lists, tuples, sets, and dictionaries. It provides details on lists, including that they are ordered and changeable collections that allow duplicate members. Lists can be indexed, sliced, modified using methods like append() and insert(), and have various built-in functions that can be used on them. Examples are provided to demonstrate list indexing, slicing, changing elements, adding elements, removing elements, and built-in list methods.

Supervised and Unsupervised Learning In Machine Learning | Machine Learning T...Simplilearn

This document provides an overview of machine learning, including: - Machine learning allows computers to learn from data without being explicitly programmed, through processes like analyzing data, training models on past data, and making predictions. - The main types of machine learning are supervised learning, which uses labeled training data to predict outputs, and unsupervised learning, which finds patterns in unlabeled data. - Common supervised learning tasks include classification (like spam filtering) and regression (like weather prediction). Unsupervised learning includes clustering, like customer segmentation, and association, like market basket analysis. - Supervised and unsupervised learning are used in many areas like risk assessment, image classification, fraud detection, customer analytics, and more

Loops in c++ programming language MUHAMMAD ALI student of IT at karakoram International university gilgit baltistan

Lesson 03 python statement, indentation and commentsNilimesh Halder

C tokensManu1325

C programs are composed of six types of tokens: keywords, identifiers, constants, strings, special symbols, and operators. Keywords are reserved words that serve as building blocks for statements and cannot be used as names. Identifiers name variables, functions, and arrays and must begin with a letter. Constants represent fixed values and come in numeric, character, and string forms. Special symbols include braces, parentheses, and brackets that indicate code blocks, function calls, and arrays. Operators perform arithmetic, assignment, comparison, logic, and other operations.

Introduction to pythonAyshwarya Baburam

This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.

Python Flow ControlKamal Acharya

Control statements in cSathish Narayanan

Operator & control statements in C are used to perform operations and control program flow. Arithmetic operators (+, -, *, /, %) are used for mathematical calculations on integers and floating-point numbers. Relational operators (<, <=, >, >=, ==, !=) compare two operands. Logical operators (&&, ||, !) combine conditions. Control statements like if-else, switch, while, for, break, continue and goto alter program execution based on conditions.

C Programming: Control StructureSokngim Sa

Loops c++Shivani Singh

Values and Data types in pythonJothi Thilaga P

This document discusses values, data types, and the five standard data types in Python. It defines that values are the fundamental things like numbers and strings that programs manipulate. Data type refers to the type and size of data that variables can hold. The five main data types in Python are numbers, strings, lists, tuples, and dictionaries. Numbers include integers, floating point values, and complex numbers. Lists and tuples are ordered sequences that can hold heterogeneous data, but lists are mutable while tuples are immutable. Strings are ordered sequences of characters. Dictionaries are unordered collections of key-value pairs.

Python FunctionsMohammed Sikander

ForloopDipen Vasoya

The document discusses the for loop in C programming. It explains that the for loop iterates statements multiple times and allows initialization and increment/decrement of a variable during condition checking. The syntax of a for loop includes initialization, condition checking, and increment/decrement. Nested for loops run inner loops as many times as the limit of the outer loop condition, with the inner representing columns and outer representing rows.

Operators in C++Sachin Sharma

The document discusses the different types of operators in C++, including unary, binary, ternary, arithmetic, logical, comparison, assignment, bitwise, and special operators like scope resolution (::), endl, and setw. It provides examples of how each operator is used, such as increment/decrement for unary, addition/subtraction for binary, conditional operator ?: for ternary, and manipulating bits with bitwise operators. The document also explains how scope resolution allows accessing global variables from inner blocks and how endl and setw are used for formatting output displays.

Fundamentals of Python ProgrammingKamal Acharya

The document provides an introduction to Python programming including its features, uses, history, and installation process. Some key points covered include: - Python is an interpreted, object-oriented programming language that is used for web development, scientific computing, and desktop applications. - It was created by Guido van Rossum in 1991 and named after the Monty Python comedy group. - To install Python on Windows, users download the latest version from python.org and run the installer, which also installs the IDLE development environment. - The document then covers basic Python concepts like variables, data types, operators, and input/output functions.

Function overloading(c++)Ritika Sharma

Functions in ckalavathisugan

This document discusses different types of functions in C programming. It explains that functions can be predefined standard library functions or user-defined functions. It provides examples of functions with no return type and no arguments, functions with no return type but arguments, and functions with a return type but no arguments. The syntax for defining, declaring, and calling functions is also demonstrated.

Modular programmingMohanlal Sukhadia University (MLSU)

The document discusses modular programming, which involves separating a program into independent, interchangeable modules that each contain everything needed to execute one aspect of the desired functionality. Modular programming makes programs easier to understand, manage complexity through smaller blocks of code, encourage code re-use, and allow independent development of code. It provides an example program that defines a function to find the maximum of two numbers and calls that function from the main program. Advantages of modular programming include that modules can be written and tested separately, reused, and allow large projects to be developed in parallel.

Chapter 1 - INTRODUCTION TO PYTHON -MAULIK BORSANIYAMaulik Borsaniya

Conditional and control statementnarmadhakin

The document discusses different types of conditional and control statements in Python including if, if-else, elif, nested if-else, while, for loops, and else with loops. It provides the syntax and examples of each statement type. The if statement and if-else statement are used for simple decision making. The elif statement allows for chained conditional execution with more than two possibilities. Nested if-else allows if/elif/else statements within other conditionals. While and for loops are used to repeatedly execute blocks of code, with while looping until a condition is false and for looping over sequences. The else statement with loops executes code when the loop condition is false.

Pointers in c++Vineeta Garg

Pointer is a variable that stores the memory address of another variable. It allows dynamic memory allocation and access of memory locations. There are three ways to pass arguments to functions in C++ - pass by value, pass by reference, and pass by pointer. Pass by value copies the value, pass by reference copies the address, and pass by pointer passes the address of the argument. Pointers can also point to arrays or strings to access elements. Arrays of pointers can store multiple strings. References are alternative names for existing variables and any changes made using the reference affect the original variable. Functions can return pointers or references.

Function PointerDr-Dipali Meher

a1 this is in python that has break continue and pass.pptxurvashipundir04

break continue and pass in python progran.pptxurvashipundir04

More Related Content

What's hot (20)

Loops in c++ programming language MUHAMMAD ALI student of IT at karakoram International university gilgit baltistan

Lesson 03 python statement, indentation and commentsNilimesh Halder

C tokensManu1325

Introduction to pythonAyshwarya Baburam

Python Flow ControlKamal Acharya

Control statements in cSathish Narayanan

C Programming: Control StructureSokngim Sa

Loops c++Shivani Singh

Values and Data types in pythonJothi Thilaga P

Python FunctionsMohammed Sikander

ForloopDipen Vasoya

Operators in C++Sachin Sharma

Fundamentals of Python ProgrammingKamal Acharya

Function overloading(c++)Ritika Sharma

Functions in ckalavathisugan

Modular programmingMohanlal Sukhadia University (MLSU)

Chapter 1 - INTRODUCTION TO PYTHON -MAULIK BORSANIYAMaulik Borsaniya

Conditional and control statementnarmadhakin

Pointers in c++Vineeta Garg

Function PointerDr-Dipali Meher

Loops in c++ programming language MUHAMMAD ALI student of IT at karakoram International university gilgit baltistan

Lesson 03 python statement, indentation and commentsNilimesh Halder

C tokensManu1325

Introduction to pythonAyshwarya Baburam

Python Flow ControlKamal Acharya

Control statements in cSathish Narayanan

C Programming: Control StructureSokngim Sa

Loops c++Shivani Singh

Values and Data types in pythonJothi Thilaga P

Python FunctionsMohammed Sikander

ForloopDipen Vasoya

Operators in C++Sachin Sharma

Fundamentals of Python ProgrammingKamal Acharya

Function overloading(c++)Ritika Sharma

Functions in ckalavathisugan

Modular programmingMohanlal Sukhadia University (MLSU)

Chapter 1 - INTRODUCTION TO PYTHON -MAULIK BORSANIYAMaulik Borsaniya

Conditional and control statementnarmadhakin

Pointers in c++Vineeta Garg

Function PointerDr-Dipali Meher

Similar to Loops in Python (20)

a1 this is in python that has break continue and pass.pptxurvashipundir04

break continue and pass in python progran.pptxurvashipundir04

Loops in python including control statements and various test casesAnuragSharma710741

Loops in c programmingCHANDAN KUMAR

ppt3-conditionalstatementloopsdictionaryfunctions-240731050730-455ba0fa.pptavishekpradhan24

6 Iterative Statements.pptxssuser8e50d8

This document discusses for loops in Python and provides examples of using if statements, else clauses, and nested loops within for loops. It also discusses break and continue statements and how they can alter normal loop flow. Specifically, it shows that an else block after a for loop will execute if there is no break statement in the loop. It provides code examples of for loops with if/break statements and else blocks to illustrate when the else block does and does not execute. It also shows examples of nested for loops and using break/continue statements to terminate or skip iterations in a loop.

Control_Statements_in_Python.pptxKoteswari Kasireddy

The document discusses various control flow statements in Python including conditional statements like if, if-else, if-elif-else, loop statements like while and for loops, and jump statements like break and continue. Indentation is used to declare blocks in Python instead of curly braces or parentheses. Conditional statements allow performing different computations depending on conditions. Loop statements repeat a block of code a specified number of times. Jump statements alter the flow of loops by skipping or terminating parts of a loop.

E-Notes_3721_Content_Document_20250107032537PM.pdfaayushihirpara297

Python basics Control flow chapter 3.pptxyeabtse1234

An Introduction to Computer Science with Java, Python an.docxamrit47

An Introduction to Computer Science with Java, Python and C++ Community College of Philadelphia edition Copyright 2018 by C.W. Herbert, all rights reserved. Last edited January 21, 2019 by C. W. Herbert This document is a draft of a chapter from An Introduction to Computer Science with Java, Python and C++, written by Charles Herbert. It is available free of charge for students in Computer Science courses at Community College of Philadelphia during the Spring 2019 semester. It may not be reproduced or distributed for any other purposes without proper prior permission. Please report any typos, other errors, or suggestions for improving the text to [email protected] Chapter 4 – Loops and Lists in Python Chapter 4 – Loops and Lists in Python .......................................................................................................... 1 Chapter 4 – Loops and Lists in Python .......................................................................................................... 2 Chapter 4 Learning Outcomes ...................................................................................................................... 2 Repetition in Algorithms ................................................................................................... 3 Loop Control Variables .......................................................................................................................... 4 Lesson 4.2 Pre-Test Loops and Post-Test Loops ....................................................................................... 6 Pre-Test Loops ....................................................................................................................................... 6 Post-Test Loops ..................................................................................................................................... 7 While Loops in Python - Sentinel Loops and Count Controlled Loops .............................. 8 Sentinel Loops ....................................................................................................................................... 8 Count-controlled Loops ...................................................................................................................... 11 Random numbers in Python ........................................................................................... 12 Using the randrange() function ........................................................................................................... 14 In Class Exercise ...................................................................................................................................... 16 Python lists ...................................................................................................................... 17 Using for statements with Python lists .....................................................................................

Python made easy Abhishek kumar

This document provides an introduction and overview of the Python programming language. It discusses what Python is, its features, applications, and how to install Python on Windows and Linux systems. It also covers Python basics like variables, data types, operators, comments, conditional statements like if/else, and loops like for, while, and nested loops. Examples are provided for key concepts. The document is intended as a beginner tutorial for learning Python.

Python Flow ControlMohammed Sikander

The document discusses various Python flow control statements including if/else, for loops, while loops, break and continue. It provides examples of using if/else statements for decision making and checking conditions. It also demonstrates how to use for and while loops for iteration, including using the range function. It explains how break and continue can be used to terminate or skip iterations. Finally, it briefly mentions pass, for, while loops with else blocks, and nested loops.

Presentation on nesting of loopsbsdeol28

The document discusses different types of nested loops in programming. It explains nested while loops, do-while loops, and nested for loops. For nested while loops, the inner loop must start after the outer loop and end before the outer loop. An example prints a series using nested while loops. Do-while loops execute the loop statement once before checking the condition. An example uses do-while to check if a number is positive or negative. Nested for loops can contain another for loop in its body, as long as the inner loop variable has a different name. An example prints a series using nested for loops.

Mastering Python lesson 3aRuth Marvin

LESSON 3A. INTRODUCTION TO ITERATION: LOOPS, TRACE TABLES, WHILE LOOPS Introduction to Iteration and loops. The theory behind loops and how they work. Create and adapt programs using loops. Intro to the random number generator. Learn about trace tabling (white box testing). Example of a trace table and dry run. Wonders of the Fibonacci sequence. Examples of Iteration in game design. Focus on While loops. Challenges, tasks (with solutions), suggested videos, big ideas discussion and research and HW included. Introducing Ada Lovelace and Charles Babbage.

Notes2hccit

PPT3-CONDITIONAL STATEMENT LOOPS DICTIONARY FUNCTIONS.pptRahulKumar812056

5. php bangla tutorial php basicSamimKhan19

PYTHON FULL TUTORIAL WITH PROGRAMMSAniruddha Paul

1. The Python if statement is used to execute code conditionally based on the evaluation of an expression. It can be used with simple conditions, if-else statements, and nested if statements. 2. Python if-else statements allow executing one block of code if a condition is true and another block if the condition is false. 3. Nested if statements in Python allow checking multiple conditions, with inner if statements executing only if the outer conditions are met.

JAVA.pptxDrRSuganyaRengaraj

The document discusses different types of control structures in Java programming. There are three main types: conditional branches like if/else and switch statements; loops like for, while, and do-while to repeatedly run code; and branching statements like break and continue to alter loop flow. Specific examples are provided to illustrate if/else statements, the ternary operator, switch cases, and using break and continue in loops.

a1 this is in python that has break continue and pass.pptxurvashipundir04

break continue and pass in python progran.pptxurvashipundir04

Loops in python including control statements and various test casesAnuragSharma710741

Loops in c programmingCHANDAN KUMAR

ppt3-conditionalstatementloopsdictionaryfunctions-240731050730-455ba0fa.pptavishekpradhan24

6 Iterative Statements.pptxssuser8e50d8

Control_Statements_in_Python.pptxKoteswari Kasireddy

E-Notes_3721_Content_Document_20250107032537PM.pdfaayushihirpara297

Python basics Control flow chapter 3.pptxyeabtse1234

An Introduction to Computer Science with Java, Python an.docxamrit47

Python made easy Abhishek kumar

Python Flow ControlMohammed Sikander

Presentation on nesting of loopsbsdeol28

Mastering Python lesson 3aRuth Marvin

Notes2hccit

PPT3-CONDITIONAL STATEMENT LOOPS DICTIONARY FUNCTIONS.pptRahulKumar812056

5. php bangla tutorial php basicSamimKhan19

PYTHON FULL TUTORIAL WITH PROGRAMMSAniruddha Paul

JAVA.pptxDrRSuganyaRengaraj

More from AbhayDhupar (8)

JavaScript : A trending scripting languageAbhayDhupar

What is Data analytics and it's importance ?AbhayDhupar

Internet & it's conceptsAbhayDhupar

Types of grammer - TOCAbhayDhupar

Successive Approximation ADC AbhayDhupar

Food chainAbhayDhupar

Edge computingAbhayDhupar

Sets and its types-AbhayDhupar

JavaScript : A trending scripting languageAbhayDhupar

What is Data analytics and it's importance ?AbhayDhupar

Internet & it's conceptsAbhayDhupar

Types of grammer - TOCAbhayDhupar

Successive Approximation ADC AbhayDhupar

Food chainAbhayDhupar

Edge computingAbhayDhupar

Sets and its types-AbhayDhupar

Recently uploaded (20)

Build Your Own Copilot & Agents For DevsBrian McKeiver

DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock

Building 10x Organizations with Modern Productivity Metrics 10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’ Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them. But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?

Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55

Cyber Awareness overview for 2025 month of securityriccardosl1

Rusty Waters: Elevating Lakehouses Beyond Sparkcarlyakerly1

Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark? At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍 Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀

Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell

Manifest Pre-Seed Update | A Humanoid OEM Deeptech In Francechb3

2025-05-Q4-2024-Investor-Presentation.pptxSamuele Fogagnolo

SAP Modernization: Maximizing the Value of Your SAP S/4HANA Migration.pdfPrecisely

Semantic Cultivators : The Critical Future Role to Enable AIartmondano

AI and Data Privacy in 2025: Global TrendsInData Labs

In this infographic, we explore how businesses can implement effective governance frameworks to address AI data privacy. Understanding it is crucial for developing effective strategies that ensure compliance, safeguard customer trust, and leverage AI responsibly. Equip yourself with insights that can drive informed decision-making and position your organization for success in the future of data privacy. This infographic contains: -AI and data privacy: Key findings -Statistics on AI data privacy in the today’s world -Tips on how to overcome data privacy challenges -Benefits of AI data security investments. Keep up-to-date on how AI is reshaping privacy standards and what this entails for both individuals and organizations.

Drupalcamp Finland – Measuring Front-end Energy ConsumptionExove

Technology Trends in 2025: AI and Big Data AnalyticsInData Labs

At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including: -Artificial Intelligence Market Overview -Strategies for AI Adoption in 2025 -Anticipated drivers of AI adoption and transformative technologies -Benefits of AI and Big data for your business -Tips on how to prepare your business for innovation -AI and data privacy: Strategies for securing data privacy in AI models, etc. Download your free copy nowand implement the key findings to improve your business.

Cybersecurity Identity and Access Solutions using Azure ADVICTOR MAESTRE RAMIREZ

HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/ HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar. Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten. In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich - Zugriff auf die Konsole - Auffinden und Interpretieren von Protokolldateien - Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS) - Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien - Nutzung der Client Clocking-Funktion

Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...BookNet Canada

Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next. Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/ Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.

#StandardsGoals for 2025: Standards & certification roundup - Tech Forum 2025BookNet Canada

Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next. Link to recording, transcript, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/ Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.

Quantum Computing Quick Research Guide by Arthur MorganArthur Morgan

This is a Quick Research Guide (QRG). QRGs include the following: - A brief, high-level overview of the QRG topic. - A milestone timeline for the QRG topic. - Links to various free online resource materials to provide a deeper dive into the QRG topic. - Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic. QRGs planned for the series: - Artificial Intelligence QRG - Quantum Computing QRG - Big Data Analytics QRG - Spacecraft Guidance, Navigation & Control QRG (coming 2026) - UK Home Computing & The Birth of ARM QRG (coming 2027) Any questions or comments? - Please contact Arthur Morgan at [email protected]. 100% human made.

Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex

Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how: • Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules. • Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance. • Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity. • Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications. • Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market. With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications. Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family

IEDM 2024 Tutorial2_Advances in CMOS Technologies and Future Directions for C...organizerofv