SlideShare a Scribd company logo
Java & JEE Training
Day 6 – Practice Session
Practice Problems
Page 2Classification: Restricted
Agenda
• Practice session
• Object Oriented Programming (OOPs) Concepts
Page 3Classification: Restricted
Nested for loops
• A loop placed inside another loop.
for (int i = 1; i <= 5; i++) {
for (int j = 1; j <= 10; j++) {
System.out.print("*");
}
System.out.println(); // to end the line
}
• Output:
**********
**********
**********
**********
**********
• The outer loop repeats 5 times; the inner one 10 times.
• "sets and reps" exercise analogy
Page 4Classification: Restricted
What is the output?
Page 5Classification: Restricted
What is the output?
Page 6Classification: Restricted
What is the output?
Page 7Classification: Restricted
What is the output?
Page 8Classification: Restricted
What is the output?
Page 9Classification: Restricted
What is the output?
• Infinite Loop
Page 10Classification: Restricted
What is the output?
Page 11Classification: Restricted
What is the output?
• Infinite Loop
Page 12Classification: Restricted
Generating Complex Line Outputs…
• What nested for loops produce the following output?
• We must build multiple complex lines of output using:
• an outer "vertical" loop for each of the lines
• inner "horizontal" loop(s) for the patterns within each line
Page 13Classification: Restricted
Outer and Inner Loop
• First write the outer loop, from 1 to the number of lines.
• Now look at the line contents. Each line has a pattern:
• some dots (0 dots on the last line), then a number
• Observation: the number of dots is related to the line number.
Page 14Classification: Restricted
Mapping loops to numbers
• What statement in the body would cause the loop to print:
4 7 10 13 16
Page 15Classification: Restricted
Mapping loops to numbers
• What statement in the body would cause the loop to print:
4 7 10 13 16
Page 16Classification: Restricted
Loop tables
• What statement in the body would cause the loop to print:
2 7 12 17 22
• To see patterns, make a table of count and the numbers.
– Each time count goes up by 1, the number should go up by 5.
– But count * 5 is too great by 3, so we subtract 3.
Page 17Classification: Restricted
Nested for loop exercise
• Make a table to represent any patterns on each line.
Page 18Classification: Restricted
What is the output?
Page 19Classification: Restricted
What is the output?
Page 20Classification: Restricted
Write a program to…
Page 21Classification: Restricted
Solution
Page 22Classification: Restricted
Topics to be covered in next session
• Object Oriented Concepts
• Introduction to OO Analysis and Design
Page 23Classification: Restricted
Thank You!

More Related Content

What's hot

OOP with Java - Abstract Classes and Interfaces
OOP with Java - Abstract Classes and InterfacesOOP with Java - Abstract Classes and Interfaces
OOP with Java - Abstract Classes and Interfaces
Hitesh-Java
 
Session 18 - Review Session and Attending Java Interviews
Session 18 - Review Session and Attending Java InterviewsSession 18 - Review Session and Attending Java Interviews
Session 18 - Review Session and Attending Java Interviews
PawanMM
 
Session 07 - Intro to Object Oriented Programming with Java
Session 07 - Intro to Object Oriented Programming with JavaSession 07 - Intro to Object Oriented Programming with Java
Session 07 - Intro to Object Oriented Programming with Java
PawanMM
 
Learn To Code: Introduction to java
Learn To Code: Introduction to javaLearn To Code: Introduction to java
Learn To Code: Introduction to java
SadhanaParameswaran
 
From DOT to Dotty
From DOT to DottyFrom DOT to Dotty
From DOT to Dotty
Martin Odersky
 
Session 11 - OOP's with Java - Packaging and Access Modifiers
Session 11 - OOP's with Java - Packaging and Access ModifiersSession 11 - OOP's with Java - Packaging and Access Modifiers
Session 11 - OOP's with Java - Packaging and Access Modifiers
PawanMM
 
Session 14 - Object Class
Session 14 - Object ClassSession 14 - Object Class
Session 14 - Object Class
PawanMM
 
Polymorphism
PolymorphismPolymorphism
Polymorphism
Nilesh Dalvi
 

What's hot (8)

OOP with Java - Abstract Classes and Interfaces
OOP with Java - Abstract Classes and InterfacesOOP with Java - Abstract Classes and Interfaces
OOP with Java - Abstract Classes and Interfaces
 
Session 18 - Review Session and Attending Java Interviews
Session 18 - Review Session and Attending Java InterviewsSession 18 - Review Session and Attending Java Interviews
Session 18 - Review Session and Attending Java Interviews
 
Session 07 - Intro to Object Oriented Programming with Java
Session 07 - Intro to Object Oriented Programming with JavaSession 07 - Intro to Object Oriented Programming with Java
Session 07 - Intro to Object Oriented Programming with Java
 
Learn To Code: Introduction to java
Learn To Code: Introduction to javaLearn To Code: Introduction to java
Learn To Code: Introduction to java
 
From DOT to Dotty
From DOT to DottyFrom DOT to Dotty
From DOT to Dotty
 
Session 11 - OOP's with Java - Packaging and Access Modifiers
Session 11 - OOP's with Java - Packaging and Access ModifiersSession 11 - OOP's with Java - Packaging and Access Modifiers
Session 11 - OOP's with Java - Packaging and Access Modifiers
 
Session 14 - Object Class
Session 14 - Object ClassSession 14 - Object Class
Session 14 - Object Class
 
Polymorphism
PolymorphismPolymorphism
Polymorphism
 

Similar to Session 06 - Practice Session

Code lifecycle in the jvm - TopConf Linz
Code lifecycle in the jvm - TopConf LinzCode lifecycle in the jvm - TopConf Linz
Code lifecycle in the jvm - TopConf Linz
Ivan Krylov
 
04 accelerating dl inference with (open)capi and posit numbers
04 accelerating dl inference with (open)capi and posit numbers04 accelerating dl inference with (open)capi and posit numbers
04 accelerating dl inference with (open)capi and posit numbers
Yutaka Kawai
 
Flowcharting week 5 2019 2020
Flowcharting week 5  2019  2020Flowcharting week 5  2019  2020
Flowcharting week 5 2019 2020
Osama Ghandour Geris
 
Flow charts week 5 2020 2021
Flow charts week 5 2020  2021Flow charts week 5 2020  2021
Flow charts week 5 2020 2021
Osama Ghandour Geris
 
Algorithm-RepetitionSentinellNestedLoop_Solution.pptx
Algorithm-RepetitionSentinellNestedLoop_Solution.pptxAlgorithm-RepetitionSentinellNestedLoop_Solution.pptx
Algorithm-RepetitionSentinellNestedLoop_Solution.pptx
AliaaAqilah3
 
CIS110 Computer Programming Design Chapter (5)
CIS110 Computer Programming Design Chapter  (5)CIS110 Computer Programming Design Chapter  (5)
CIS110 Computer Programming Design Chapter (5)
Dr. Ahmed Al Zaidy
 
Introduction to XGBoost
Introduction to XGBoostIntroduction to XGBoost
Introduction to XGBoost
Joonyoung Yi
 
TDD: seriously, try it! 
TDD: seriously, try it! TDD: seriously, try it! 
TDD: seriously, try it! 
Nacho Cougil
 
Tutorial olap4j
Tutorial olap4jTutorial olap4j
Tutorial olap4j
Borja A. Espejo García
 
Reducing computational complexity of Mathematical functions using FPGA
Reducing computational complexity of Mathematical functions using FPGAReducing computational complexity of Mathematical functions using FPGA
Reducing computational complexity of Mathematical functions using FPGA
nehagaur339
 
AOT-compilation of JavaScript with V8
AOT-compilation of JavaScript with V8AOT-compilation of JavaScript with V8
AOT-compilation of JavaScript with V8
Phil Eaton
 
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
Programming the Cell Processor A simple raytracer from pseudo-code to spu-codeProgramming the Cell Processor A simple raytracer from pseudo-code to spu-code
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
Slide_N
 
Dot matrix display design using fpga
Dot matrix display design using fpgaDot matrix display design using fpga
Dot matrix display design using fpga
Hossam Hassan
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDB
PingCAP
 
Knowledge Area By Project Phase Excel Array Formulas
Knowledge Area By Project Phase   Excel Array FormulasKnowledge Area By Project Phase   Excel Array Formulas
Knowledge Area By Project Phase Excel Array Formulas
Forrest Kovach, MBA, PMP
 
CODE TUNINGtertertertrtryryryryrtytrytrtry
CODE TUNINGtertertertrtryryryryrtytrytrtryCODE TUNINGtertertertrtryryryryrtytrytrtry
CODE TUNINGtertertertrtryryryryrtytrytrtry
kapib57390
 
Lecture 5 numbers and built in functions
Lecture 5  numbers and built in functionsLecture 5  numbers and built in functions
Lecture 5 numbers and built in functions
alvin567
 
Online Advance Excel & VBA Training in India
 Online Advance Excel & VBA Training in India Online Advance Excel & VBA Training in India
Online Advance Excel & VBA Training in India
ibinstitute0
 
Tuning Your Engine
Tuning Your EngineTuning Your Engine
Tuning Your Engine
joelbradbury
 
Performance of Go on Multicore Systems
Performance of Go on Multicore SystemsPerformance of Go on Multicore Systems
Performance of Go on Multicore Systems
No J
 

Similar to Session 06 - Practice Session (20)

Code lifecycle in the jvm - TopConf Linz
Code lifecycle in the jvm - TopConf LinzCode lifecycle in the jvm - TopConf Linz
Code lifecycle in the jvm - TopConf Linz
 
04 accelerating dl inference with (open)capi and posit numbers
04 accelerating dl inference with (open)capi and posit numbers04 accelerating dl inference with (open)capi and posit numbers
04 accelerating dl inference with (open)capi and posit numbers
 
Flowcharting week 5 2019 2020
Flowcharting week 5  2019  2020Flowcharting week 5  2019  2020
Flowcharting week 5 2019 2020
 
Flow charts week 5 2020 2021
Flow charts week 5 2020  2021Flow charts week 5 2020  2021
Flow charts week 5 2020 2021
 
Algorithm-RepetitionSentinellNestedLoop_Solution.pptx
Algorithm-RepetitionSentinellNestedLoop_Solution.pptxAlgorithm-RepetitionSentinellNestedLoop_Solution.pptx
Algorithm-RepetitionSentinellNestedLoop_Solution.pptx
 
CIS110 Computer Programming Design Chapter (5)
CIS110 Computer Programming Design Chapter  (5)CIS110 Computer Programming Design Chapter  (5)
CIS110 Computer Programming Design Chapter (5)
 
Introduction to XGBoost
Introduction to XGBoostIntroduction to XGBoost
Introduction to XGBoost
 
TDD: seriously, try it! 
TDD: seriously, try it! TDD: seriously, try it! 
TDD: seriously, try it! 
 
Tutorial olap4j
Tutorial olap4jTutorial olap4j
Tutorial olap4j
 
Reducing computational complexity of Mathematical functions using FPGA
Reducing computational complexity of Mathematical functions using FPGAReducing computational complexity of Mathematical functions using FPGA
Reducing computational complexity of Mathematical functions using FPGA
 
AOT-compilation of JavaScript with V8
AOT-compilation of JavaScript with V8AOT-compilation of JavaScript with V8
AOT-compilation of JavaScript with V8
 
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
Programming the Cell Processor A simple raytracer from pseudo-code to spu-codeProgramming the Cell Processor A simple raytracer from pseudo-code to spu-code
Programming the Cell Processor A simple raytracer from pseudo-code to spu-code
 
Dot matrix display design using fpga
Dot matrix display design using fpgaDot matrix display design using fpga
Dot matrix display design using fpga
 
How to build TiDB
How to build TiDBHow to build TiDB
How to build TiDB
 
Knowledge Area By Project Phase Excel Array Formulas
Knowledge Area By Project Phase   Excel Array FormulasKnowledge Area By Project Phase   Excel Array Formulas
Knowledge Area By Project Phase Excel Array Formulas
 
CODE TUNINGtertertertrtryryryryrtytrytrtry
CODE TUNINGtertertertrtryryryryrtytrytrtryCODE TUNINGtertertertrtryryryryrtytrytrtry
CODE TUNINGtertertertrtryryryryrtytrytrtry
 
Lecture 5 numbers and built in functions
Lecture 5  numbers and built in functionsLecture 5  numbers and built in functions
Lecture 5 numbers and built in functions
 
Online Advance Excel & VBA Training in India
 Online Advance Excel & VBA Training in India Online Advance Excel & VBA Training in India
Online Advance Excel & VBA Training in India
 
Tuning Your Engine
Tuning Your EngineTuning Your Engine
Tuning Your Engine
 
Performance of Go on Multicore Systems
Performance of Go on Multicore SystemsPerformance of Go on Multicore Systems
Performance of Go on Multicore Systems
 

More from PawanMM

Session 48 - JS, JSON and AJAX
Session 48 - JS, JSON and AJAXSession 48 - JS, JSON and AJAX
Session 48 - JS, JSON and AJAX
PawanMM
 
Session 46 - Spring - Part 4 - Spring MVC
Session 46 - Spring - Part 4 - Spring MVCSession 46 - Spring - Part 4 - Spring MVC
Session 46 - Spring - Part 4 - Spring MVC
PawanMM
 
Session 45 - Spring - Part 3 - AOP
Session 45 - Spring - Part 3 - AOPSession 45 - Spring - Part 3 - AOP
Session 45 - Spring - Part 3 - AOP
PawanMM
 
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based ConfigurationSession 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
PawanMM
 
Session 43 - Spring - Part 1 - IoC DI Beans
Session 43 - Spring - Part 1 - IoC DI BeansSession 43 - Spring - Part 1 - IoC DI Beans
Session 43 - Spring - Part 1 - IoC DI Beans
PawanMM
 
Session 42 - Struts 2 Hibernate Integration
Session 42 - Struts 2 Hibernate IntegrationSession 42 - Struts 2 Hibernate Integration
Session 42 - Struts 2 Hibernate Integration
PawanMM
 
Session 41 - Struts 2 Introduction
Session 41 - Struts 2 IntroductionSession 41 - Struts 2 Introduction
Session 41 - Struts 2 Introduction
PawanMM
 
Session 40 - Hibernate - Part 2
Session 40 - Hibernate - Part 2Session 40 - Hibernate - Part 2
Session 40 - Hibernate - Part 2
PawanMM
 
Session 39 - Hibernate - Part 1
Session 39 - Hibernate - Part 1Session 39 - Hibernate - Part 1
Session 39 - Hibernate - Part 1
PawanMM
 
Session 38 - Core Java (New Features) - Part 1
Session 38 - Core Java (New Features) - Part 1Session 38 - Core Java (New Features) - Part 1
Session 38 - Core Java (New Features) - Part 1
PawanMM
 
Session 37 - JSP - Part 2 (final)
Session 37 - JSP - Part 2 (final)Session 37 - JSP - Part 2 (final)
Session 37 - JSP - Part 2 (final)
PawanMM
 
Session 36 - JSP - Part 1
Session 36 - JSP - Part 1Session 36 - JSP - Part 1
Session 36 - JSP - Part 1
PawanMM
 
Session 35 - Design Patterns
Session 35 - Design PatternsSession 35 - Design Patterns
Session 35 - Design Patterns
PawanMM
 
Session 34 - JDBC Best Practices, Introduction to Design Patterns
Session 34 - JDBC Best Practices, Introduction to Design PatternsSession 34 - JDBC Best Practices, Introduction to Design Patterns
Session 34 - JDBC Best Practices, Introduction to Design Patterns
PawanMM
 
Session 33 - Session Management using other Techniques
Session 33 - Session Management using other TechniquesSession 33 - Session Management using other Techniques
Session 33 - Session Management using other Techniques
PawanMM
 
Session 32 - Session Management using Cookies
Session 32 - Session Management using CookiesSession 32 - Session Management using Cookies
Session 32 - Session Management using Cookies
PawanMM
 
Session 31 - Session Management, Best Practices, Design Patterns in Web Apps
Session 31 - Session Management, Best Practices, Design Patterns in Web AppsSession 31 - Session Management, Best Practices, Design Patterns in Web Apps
Session 31 - Session Management, Best Practices, Design Patterns in Web Apps
PawanMM
 
Session 30 - Servlets - Part 6
Session 30 - Servlets - Part 6Session 30 - Servlets - Part 6
Session 30 - Servlets - Part 6
PawanMM
 
Session 29 - Servlets - Part 5
Session 29 - Servlets - Part 5Session 29 - Servlets - Part 5
Session 29 - Servlets - Part 5
PawanMM
 
Session 28 - Servlets - Part 4
Session 28 - Servlets - Part 4Session 28 - Servlets - Part 4
Session 28 - Servlets - Part 4
PawanMM
 

More from PawanMM (20)

Session 48 - JS, JSON and AJAX
Session 48 - JS, JSON and AJAXSession 48 - JS, JSON and AJAX
Session 48 - JS, JSON and AJAX
 
Session 46 - Spring - Part 4 - Spring MVC
Session 46 - Spring - Part 4 - Spring MVCSession 46 - Spring - Part 4 - Spring MVC
Session 46 - Spring - Part 4 - Spring MVC
 
Session 45 - Spring - Part 3 - AOP
Session 45 - Spring - Part 3 - AOPSession 45 - Spring - Part 3 - AOP
Session 45 - Spring - Part 3 - AOP
 
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based ConfigurationSession 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
Session 44 - Spring - Part 2 - Autowiring, Annotations, Java based Configuration
 
Session 43 - Spring - Part 1 - IoC DI Beans
Session 43 - Spring - Part 1 - IoC DI BeansSession 43 - Spring - Part 1 - IoC DI Beans
Session 43 - Spring - Part 1 - IoC DI Beans
 
Session 42 - Struts 2 Hibernate Integration
Session 42 - Struts 2 Hibernate IntegrationSession 42 - Struts 2 Hibernate Integration
Session 42 - Struts 2 Hibernate Integration
 
Session 41 - Struts 2 Introduction
Session 41 - Struts 2 IntroductionSession 41 - Struts 2 Introduction
Session 41 - Struts 2 Introduction
 
Session 40 - Hibernate - Part 2
Session 40 - Hibernate - Part 2Session 40 - Hibernate - Part 2
Session 40 - Hibernate - Part 2
 
Session 39 - Hibernate - Part 1
Session 39 - Hibernate - Part 1Session 39 - Hibernate - Part 1
Session 39 - Hibernate - Part 1
 
Session 38 - Core Java (New Features) - Part 1
Session 38 - Core Java (New Features) - Part 1Session 38 - Core Java (New Features) - Part 1
Session 38 - Core Java (New Features) - Part 1
 
Session 37 - JSP - Part 2 (final)
Session 37 - JSP - Part 2 (final)Session 37 - JSP - Part 2 (final)
Session 37 - JSP - Part 2 (final)
 
Session 36 - JSP - Part 1
Session 36 - JSP - Part 1Session 36 - JSP - Part 1
Session 36 - JSP - Part 1
 
Session 35 - Design Patterns
Session 35 - Design PatternsSession 35 - Design Patterns
Session 35 - Design Patterns
 
Session 34 - JDBC Best Practices, Introduction to Design Patterns
Session 34 - JDBC Best Practices, Introduction to Design PatternsSession 34 - JDBC Best Practices, Introduction to Design Patterns
Session 34 - JDBC Best Practices, Introduction to Design Patterns
 
Session 33 - Session Management using other Techniques
Session 33 - Session Management using other TechniquesSession 33 - Session Management using other Techniques
Session 33 - Session Management using other Techniques
 
Session 32 - Session Management using Cookies
Session 32 - Session Management using CookiesSession 32 - Session Management using Cookies
Session 32 - Session Management using Cookies
 
Session 31 - Session Management, Best Practices, Design Patterns in Web Apps
Session 31 - Session Management, Best Practices, Design Patterns in Web AppsSession 31 - Session Management, Best Practices, Design Patterns in Web Apps
Session 31 - Session Management, Best Practices, Design Patterns in Web Apps
 
Session 30 - Servlets - Part 6
Session 30 - Servlets - Part 6Session 30 - Servlets - Part 6
Session 30 - Servlets - Part 6
 
Session 29 - Servlets - Part 5
Session 29 - Servlets - Part 5Session 29 - Servlets - Part 5
Session 29 - Servlets - Part 5
 
Session 28 - Servlets - Part 4
Session 28 - Servlets - Part 4Session 28 - Servlets - Part 4
Session 28 - Servlets - Part 4
 

Recently uploaded

Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
Fwdays
 
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search",  Taras Kloba"NATO Hackathon Winner: AI-Powered Drug Search",  Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
Fwdays
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
Mydbops
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Safe Software
 
Christine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptxChristine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptx
christinelarrosa
 
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid ResearchHarnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Neo4j
 
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSFAppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
Ajin Abraham
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
UiPathCommunity
 
Christine's Product Research Presentation.pptx
Christine's Product Research Presentation.pptxChristine's Product Research Presentation.pptx
Christine's Product Research Presentation.pptx
christinelarrosa
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
Fwdays
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillinQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
LizaNolte
 
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeckPoznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
FilipTomaszewski5
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving
 

Recently uploaded (20)

Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
Northern Engraving | Modern Metal Trim, Nameplates and Appliance Panels
 
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
"Scaling RAG Applications to serve millions of users",  Kevin Goedecke"Scaling RAG Applications to serve millions of users",  Kevin Goedecke
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
 
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search",  Taras Kloba"NATO Hackathon Winner: AI-Powered Drug Search",  Taras Kloba
"NATO Hackathon Winner: AI-Powered Drug Search", Taras Kloba
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
Must Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during MigrationMust Know Postgres Extension for DBA and Developer during Migration
Must Know Postgres Extension for DBA and Developer during Migration
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
 
Christine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptxChristine's Supplier Sourcing Presentaion.pptx
Christine's Supplier Sourcing Presentaion.pptx
 
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid ResearchHarnessing the Power of NLP and Knowledge Graphs for Opioid Research
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
 
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSFAppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
Day 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio FundamentalsDay 2 - Intro to UiPath Studio Fundamentals
Day 2 - Intro to UiPath Studio Fundamentals
 
Christine's Product Research Presentation.pptx
Christine's Product Research Presentation.pptxChristine's Product Research Presentation.pptx
Christine's Product Research Presentation.pptx
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillinQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
inQuba Webinar Mastering Customer Journey Management with Dr Graham Hill
 
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeckPoznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
Poznań ACE event - 19.06.2024 Team 24 Wrapup slidedeck
 
Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving | Nameplate Manufacturing Process - 2024
Northern Engraving | Nameplate Manufacturing Process - 2024
 

Session 06 - Practice Session