Tools

Dynamic Objects in C# with Code Samples

Pandiyan MuruganLeave a comment

Introduction

The C# language has many powerful features, including the ability to create and manipulate dynamic objects. This post will explain the concept of dynamic objects in C#, provide code samples to demonstrate their use, and discuss the benefits of dynamic objects.

What are Dynamic Objects in C#?

Dynamic objects in C# are objects that allow users to modify their properties and methods at runtime. They have no predefined structure, meaning that their members and methods can be added and removed as needed. This flexibility makes them ideal for scenarios where the structure of the object can change depending on the environment or user input.

Benefits of Using Dynamic Objects in C#

Dynamic objects in C# offer a number of advantages over standard objects. They can be used to quickly prototype an application without having to set up a complex object structure. Additionally, they can be more efficient when dealing with large amounts of data as they don’t need to be initialized at the start. Finally, dynamic objects can also be used to access and manipulate data from other sources, such as databases or web services.

Code Samples

The following code samples demonstrate the use of dynamic objects in C#. The first example shows how to create a dynamic object and add a property to it:

dynamic myObj = new ExpandoObject();
myObj.Name = "John";

The second example shows how to access the properties of a dynamic object:

dynamic myObj = new ExpandoObject();
myObj.Name = "John";

string name = myObj.Name; // name = "John"

Finally, the third example shows how to invoke a method of a dynamic object:

dynamic myObj = new ExpandoObject();
myObj.SayHello = (string name) => {
    Console.WriteLine($"Hello, {name}!");
};

myObj.SayHello("John"); // Prints "Hello, John!"

Conclusion

Dynamic objects in C# provide an effective way to quickly prototype applications and access data from other sources. They also offer a number of benefits over standard objects, such as increased efficiency and flexibility. By using the code samples provided in this post, users can begin to take advantage of dynamic objects in their own projects.

Python if else shorthand

Pandiyan MuruganLeave a comment

Introduction

Do you want to write efficient and concise Python code? If so, then learning how to use Python’s if else shorthand is a great place to start. This blog post will explore three different ways to use if else shorthand in Python.

ternary operator

The ternary operator is a condensed version of an if else statement. It is written as a single line of code and evaluates a condition to return one of two values. The syntax for using the ternary operator looks like this:

[on_true] if [expression] else [on_false]

For example, if we wanted to print “positive” if the number x is greater than 0, and “negative” if it is not, we could use this ternary operator:

print("positive") if x > 0 else print("negative")

if expressions

If expressions are another concise way to write an if else statement. This form of the if else statement can be used as a value. It is written in this format:

[expression] if [condition] else [expression]

For example, if we wanted to set the variable y to a value of 10 if the number x is greater than 0, and a value of -10 if it is not, we could use this if expression:

y = 10 if x > 0 else -10

if else lambdas

If else lambdas are a way to write a single line of code that returns a value based on a condition. This form of the if else statement is written like this:

(lambda: [on_true], lambda: [on_false])[test]()

For example, if we wanted to return the string “positive” if the number x is greater than 0, and the string “negative” if it is not, we could use this if else lambda:

(lambda: "positive", lambda: "negative")[x > 0]()

Conclusion

If else shorthand is a great way to write efficient and concise Python code. By learning different types of if else shorthand, such as the ternary operator, if expressions, and if else lambdas, you can save time and reduce the amount of code you write.