SlideShare a Scribd company logo
1 of 44
Download to read offline
Buu Nguyen

DYNAMIC BINDING IN C#
Buu Nguyen

 Vice President of Technology, KMS Technology
 Lecturer, RMIT University Vietnam
 Microsoft MVP
Agenda

 What is dynamic binding
 How is it implemented
 When do we need it
 Restrictions of dynamic binding
What is Dynamic Binding
C# Language Evolution


                                                           C# 4.0
                                  C# 3.0                   Dynamic binding (*)
                                                           Named arguments
                                  LINQ (*)                 Optional parameters
                                  Auto- properties         Generic variance
              C# 2.0              Collection initializer   Field-like events
                                  Object initializer       Robust locking
              Generics (*)        Anonymous types          Better COM interop
              Nullable types      Extension methods
              Anonymous methods   Partial methods
     C# 1.0   Yield return
              Partial type
                                  Lambda expressions
                                  Expression trees
              Static class
              Namespace alias
Static vs. Dynamic Binding

Static Binding                  Dynamic Biding
 Compiler figures out which     All bindings happen during
  members to call (binding        run time
  process)
   Defer subtype polymorphic
     resolution till run time
Static Binding
Benefits of Static Binding

 Type and name errors are detected at
  compile time, e.g.
   Invoke non-existent members
   Pass in arguments with wrong type
   Perform illegal cast
Dynamic Binding
How Is It Implemented?
Run Time Binding

 Instead of attempting binding and generating
  CIL, the compiler packages the call and sends
  it to the Dynamic Language Runtime
 At run time, the DLR performs binding and
  execution
Under the Hood


becomes
The Dynamic Language Runtime
Process in a nutshell

   C#
                      Dynamic               builds
 dynamic
                      Objects
                                  User-defined or from other languages
      compiled


               uses   IDynamicMetaObjectProvider
Call Sites

      cached
                                                                                 Delegate
                                                       Expression        emits
                                                          Tree

DLR
                      C# Binder            builds
Dynamic Type in CIL
When Do We Need It?
Key Scenarios

1. Access a member with only knowledge of its
   name, arguments, and target object

2. Interop with dynamic languages, e.g.
   IronRuby, IronPython

3. Have the target object decide how to
   respond to a call at run time
Key Scenarios

1. Access a member with only knowledge of its
   name, arguments, and target object

2. Interop with dynamic languages, e.g.
   IronRuby, IronPython

3. Have the target object decide how to
   respond to a call at run time
Access Members
Reflection
Dynamic Type
Single vs. Multiple Dispatch

Single Dispatch                Multiple Dispatch
 Method is selected based      Method is selected based
  on the runtime type of the     on both the runtime type
  target object                  of the target object and
                                 those of the method’s
                                 arguments
Dispatch Example
Key Scenarios

1. Access a member with only knowledge of its
   name, arguments, and target object

2. Interop with dynamic languages, e.g.
   IronRuby, IronPython

3. Have the target object decide how to
   respond to a call at run time
Invoke Ruby Code
Work with Ruby Class
Work with method_missing
Key Scenarios

1. Access a member with only knowledge of its
   name, arguments, and target object

2. Interop with dynamic languages, e.g.
   IronRuby, IronPython

3. Have the target object decide how to
   respond to a call at run time
The Magic Interface


    IDynamicMetaObjectProvider


                            ExpandoObject

                            DynamicObject
ExpandoObject
DynamicObject’s Operations
Name                 Description
TryGetMember         Member getter, e.g. obj.Name
TrySetMember         Member setter, e.g. obj.age = 10
TryDeleteMember      Member removal (no equivalent in C#)
TryInvokeMember      Method invocation, e.g. obj.Invoke()
TryConvert           Casting, e.g. (int)obj
TryCreateInstance    Object creation (no equivalent in C#)
TryInvoke            Self invocation, e.g. obj(10)
TryBinaryOperation   Binary operation, e.g. obj + 10
TryUnaryOperation    Unary operation, e.g. !obj
TryGetIndex          Indexer getter, e.g. obj[“key”]
TrySetIndex          Indexer setter, e.g. obj[“key”] = value
TryDeleteIndex       Indexer removal (no equivalent in C#)
Log Setters & Invocations
StaticInvoker
StaticInvoker
Close to the metal
…Close to the metal
…Close to the metal
Restrictions
Restriction #1

 Doesn’t work with extension methods
Restriction #2

 Can’t resolve static members or constructors
  on a dynamic type
Restriction #3

 Method groups, anonymous methods and
  lambda expressions to be casted to exact type
Restriction #4
Thank You!
buunguyen@kms-technology.com
http://vn.linkedin.com/in/buunguyen
http://www.twitter.com/buunguyen
http://www.facebook.com/buunguyen
References

 DLR specs from
  http://dlr.codeplex.com/documentation
 C# in Depth, 2nd, Jon Skeet, Manning, 2010
 Pro DLR in .NET 4.0, Chaur Wu, Apress, 2010

More Related Content

What's hot

Presentation on-exception-handling
Presentation on-exception-handlingPresentation on-exception-handling
Presentation on-exception-handlingNahian Ahmed
 
Exception Handling
Exception HandlingException Handling
Exception HandlingReddhi Basu
 
Ll(1) Parser in Compilers
Ll(1) Parser in CompilersLl(1) Parser in Compilers
Ll(1) Parser in CompilersMahbubur Rahman
 
BackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and ExamplesBackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and ExamplesFahim Ferdous
 
Java package
Java packageJava package
Java packageCS_GDRCST
 
Instruction set of 8086
Instruction set of 8086Instruction set of 8086
Instruction set of 8086Vijay Kumar
 
15 puzzle problem using branch and bound
15 puzzle problem using branch and bound15 puzzle problem using branch and bound
15 puzzle problem using branch and boundAbhishek Singh
 
Exception Handling in JAVA
Exception Handling in JAVAException Handling in JAVA
Exception Handling in JAVASURIT DATTA
 
Deterministic Finite Automata (DFA)
Deterministic Finite Automata (DFA)Deterministic Finite Automata (DFA)
Deterministic Finite Automata (DFA)Animesh Chaturvedi
 
Travelling Salesman
Travelling SalesmanTravelling Salesman
Travelling SalesmanShuvojit Kar
 
Data Types - Premetive and Non Premetive
Data Types - Premetive and Non Premetive Data Types - Premetive and Non Premetive
Data Types - Premetive and Non Premetive Raj Naik
 
arrays and pointers
arrays and pointersarrays and pointers
arrays and pointersSamiksha Pun
 

What's hot (20)

1.Role lexical Analyzer
1.Role lexical Analyzer1.Role lexical Analyzer
1.Role lexical Analyzer
 
Presentation on-exception-handling
Presentation on-exception-handlingPresentation on-exception-handling
Presentation on-exception-handling
 
Exception Handling
Exception HandlingException Handling
Exception Handling
 
Interface in java
Interface in javaInterface in java
Interface in java
 
Binary Tree Traversal
Binary Tree TraversalBinary Tree Traversal
Binary Tree Traversal
 
Huffman codes
Huffman codesHuffman codes
Huffman codes
 
C by balaguruswami - e.balagurusamy
C   by balaguruswami - e.balagurusamyC   by balaguruswami - e.balagurusamy
C by balaguruswami - e.balagurusamy
 
Compiler lec 8
Compiler lec 8Compiler lec 8
Compiler lec 8
 
Ll(1) Parser in Compilers
Ll(1) Parser in CompilersLl(1) Parser in Compilers
Ll(1) Parser in Compilers
 
BackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and ExamplesBackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and Examples
 
Java package
Java packageJava package
Java package
 
Instruction set of 8086
Instruction set of 8086Instruction set of 8086
Instruction set of 8086
 
Java IO
Java IOJava IO
Java IO
 
15 puzzle problem using branch and bound
15 puzzle problem using branch and bound15 puzzle problem using branch and bound
15 puzzle problem using branch and bound
 
Exception Handling in JAVA
Exception Handling in JAVAException Handling in JAVA
Exception Handling in JAVA
 
Hashing
HashingHashing
Hashing
 
Deterministic Finite Automata (DFA)
Deterministic Finite Automata (DFA)Deterministic Finite Automata (DFA)
Deterministic Finite Automata (DFA)
 
Travelling Salesman
Travelling SalesmanTravelling Salesman
Travelling Salesman
 
Data Types - Premetive and Non Premetive
Data Types - Premetive and Non Premetive Data Types - Premetive and Non Premetive
Data Types - Premetive and Non Premetive
 
arrays and pointers
arrays and pointersarrays and pointers
arrays and pointers
 

Similar to Dynamic Binding in C# 4.0

Introduction to c sharp 4.0 and dynamic
Introduction to c sharp 4.0 and dynamicIntroduction to c sharp 4.0 and dynamic
Introduction to c sharp 4.0 and dynamicGieno Miao
 
PDC Video on C# 4.0 Futures
PDC Video on C# 4.0 FuturesPDC Video on C# 4.0 Futures
PDC Video on C# 4.0 Futuresnithinmohantk
 
New c sharp4_features_part_iv
New c sharp4_features_part_ivNew c sharp4_features_part_iv
New c sharp4_features_part_ivNico Ludwig
 
Dynamic languages for .NET CLR
Dynamic languages for .NET CLRDynamic languages for .NET CLR
Dynamic languages for .NET CLRpy_sunil
 
C# 3.0 and 4.0
C# 3.0 and 4.0C# 3.0 and 4.0
C# 3.0 and 4.0Buu Nguyen
 
Basics of c# by sabir
Basics of c# by sabirBasics of c# by sabir
Basics of c# by sabirSabir Ali
 
Dynamic Language Performance
Dynamic Language PerformanceDynamic Language Performance
Dynamic Language PerformanceKevin Hazzard
 
NDK Primer (AnDevCon Boston 2014)
NDK Primer (AnDevCon Boston 2014)NDK Primer (AnDevCon Boston 2014)
NDK Primer (AnDevCon Boston 2014)Ron Munitz
 
Component object model and
Component object model andComponent object model and
Component object model andSaransh Garg
 
C# advanced topics and future - C#5
C# advanced topics and future - C#5C# advanced topics and future - C#5
C# advanced topics and future - C#5Peter Gfader
 
Lecture4 corba
Lecture4   corbaLecture4   corba
Lecture4 corbapoovi117
 
NDK Primer (Wearable DevCon 2014)
NDK Primer (Wearable DevCon 2014)NDK Primer (Wearable DevCon 2014)
NDK Primer (Wearable DevCon 2014)Ron Munitz
 

Similar to Dynamic Binding in C# 4.0 (20)

Introduction to c sharp 4.0 and dynamic
Introduction to c sharp 4.0 and dynamicIntroduction to c sharp 4.0 and dynamic
Introduction to c sharp 4.0 and dynamic
 
C sharp
C sharpC sharp
C sharp
 
PDC Video on C# 4.0 Futures
PDC Video on C# 4.0 FuturesPDC Video on C# 4.0 Futures
PDC Video on C# 4.0 Futures
 
New c sharp4_features_part_iv
New c sharp4_features_part_ivNew c sharp4_features_part_iv
New c sharp4_features_part_iv
 
C#4.0 features
C#4.0 featuresC#4.0 features
C#4.0 features
 
Dynamic languages for .NET CLR
Dynamic languages for .NET CLRDynamic languages for .NET CLR
Dynamic languages for .NET CLR
 
Presentation On Com Dcom
Presentation On Com DcomPresentation On Com Dcom
Presentation On Com Dcom
 
C Course Material0209
C Course Material0209C Course Material0209
C Course Material0209
 
201005 accelerometer and core Location
201005 accelerometer and core Location201005 accelerometer and core Location
201005 accelerometer and core Location
 
How To Code in C#
How To Code in C#How To Code in C#
How To Code in C#
 
C# 3.0 and 4.0
C# 3.0 and 4.0C# 3.0 and 4.0
C# 3.0 and 4.0
 
Basics of c# by sabir
Basics of c# by sabirBasics of c# by sabir
Basics of c# by sabir
 
internet
internetinternet
internet
 
Dynamic Language Performance
Dynamic Language PerformanceDynamic Language Performance
Dynamic Language Performance
 
NDK Primer (AnDevCon Boston 2014)
NDK Primer (AnDevCon Boston 2014)NDK Primer (AnDevCon Boston 2014)
NDK Primer (AnDevCon Boston 2014)
 
Component object model and
Component object model andComponent object model and
Component object model and
 
DLR MCQs
DLR MCQsDLR MCQs
DLR MCQs
 
C# advanced topics and future - C#5
C# advanced topics and future - C#5C# advanced topics and future - C#5
C# advanced topics and future - C#5
 
Lecture4 corba
Lecture4   corbaLecture4   corba
Lecture4 corba
 
NDK Primer (Wearable DevCon 2014)
NDK Primer (Wearable DevCon 2014)NDK Primer (Wearable DevCon 2014)
NDK Primer (Wearable DevCon 2014)
 

More from Buu Nguyen

On Becoming a Technical Lead
On Becoming a Technical LeadOn Becoming a Technical Lead
On Becoming a Technical LeadBuu Nguyen
 
Stories about KMS Technology
Stories about KMS TechnologyStories about KMS Technology
Stories about KMS TechnologyBuu Nguyen
 
ASP.NET MVC 2.0
ASP.NET MVC 2.0ASP.NET MVC 2.0
ASP.NET MVC 2.0Buu Nguyen
 
Building Scalable .NET Web Applications
Building Scalable .NET Web ApplicationsBuilding Scalable .NET Web Applications
Building Scalable .NET Web ApplicationsBuu Nguyen
 
New Features of ASP.NET 4.0
New Features of ASP.NET 4.0New Features of ASP.NET 4.0
New Features of ASP.NET 4.0Buu Nguyen
 
C# 4.0 and .NET 4.0
C# 4.0 and .NET 4.0C# 4.0 and .NET 4.0
C# 4.0 and .NET 4.0Buu Nguyen
 

More from Buu Nguyen (10)

On Becoming a Technical Lead
On Becoming a Technical LeadOn Becoming a Technical Lead
On Becoming a Technical Lead
 
Stories about KMS Technology
Stories about KMS TechnologyStories about KMS Technology
Stories about KMS Technology
 
ASP.NET MVC 3
ASP.NET MVC 3ASP.NET MVC 3
ASP.NET MVC 3
 
HTML5 in IE9
HTML5 in IE9HTML5 in IE9
HTML5 in IE9
 
ASP.NET MVC 2.0
ASP.NET MVC 2.0ASP.NET MVC 2.0
ASP.NET MVC 2.0
 
Building Scalable .NET Web Applications
Building Scalable .NET Web ApplicationsBuilding Scalable .NET Web Applications
Building Scalable .NET Web Applications
 
New Features of ASP.NET 4.0
New Features of ASP.NET 4.0New Features of ASP.NET 4.0
New Features of ASP.NET 4.0
 
C# 4.0 and .NET 4.0
C# 4.0 and .NET 4.0C# 4.0 and .NET 4.0
C# 4.0 and .NET 4.0
 
Combres
CombresCombres
Combres
 
Fasterflect
FasterflectFasterflect
Fasterflect
 

Recently uploaded

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 

Recently uploaded (20)

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 

Dynamic Binding in C# 4.0