You started to use TypeScript in your project, you created your first type, then you jumped to your first interface, and you got it working. You concluded that TypeScript, in fact, was helping your development and saving you precious time, but you might have made some mistakes and not followed the best practices when you started to work with types and interfaces in TypeScript.
This is the case for a lot of developers, they don’t really know the real difference between type aliases and interfaces in TypeScript.
It is very simple to get started with TypeScript, but sometimes we need to think more about the best use case for us. In this case, types or interfaces?
Before we jump into the differences between types and interfaces in TypeScript, we need to understand something.
In TypeScript, we have a lot of basic types, such as string, boolean, and number. These are the basic types of TypeScript. You can check the list of all the basic types here. Also, in TypeScript, we have advanced types and in these advanced types, we have something called type aliases. With type aliases, we can create a new name for a type but we don’t define a new type.
We use the
type keyword to create a new type alias, that’s why some people might get confused and think that it’s creating a new type when they’re only creating a new name for a type. So, when you hear someone talking about the differences between types and interfaces, like in this article, you can assume that this person is talking about type aliases vs interfaces.
We will use the TypeScript Playground for code examples. The TypeScript Playground allows us to work and test the latest version of TypeScript (or any other version we want to), and we will save time by using this playground rather than creating a new TypeScript project just for examples.
The difference between types and interfaces in TypeScript used to be more clear, but with the latest versions of TypeScript, they’re becoming more similar.
Interfaces are basically a way to describe data shapes, for example, an object.
Type is a definition of a type of data, for example, a union, primitive, intersection, tuple, or any other type.
Typescript types vs interfaces what are the differences. There are two different ways in TypeScript to declare object types: Interfaces and type aliases. In this video I will tell you what the differences are and when you want to use what.
If you are undertaking a mobile app development for your start-up or enterprise, you are likely wondering whether to use React Native. As a popular development framework, React Native helps you to develop near-native mobile apps. However, you are probably also wondering how close you can get to a native app by using React Native. How native is React Native?
In the article, we discuss the similarities between native mobile development and development using React Native. We also touch upon where they differ and how to bridge the gaps. Read on.
Let’s briefly set the context first. We will briefly touch upon what React Native is and how it differs from earlier hybrid frameworks.
Although relatively new, React Native has acquired a high degree of popularity. The “Stack Overflow Developer Survey 2019” report identifies it as the 8th most loved framework. Facebook, Walmart, and Bloomberg are some of the top companies that use React Native.
The popularity of React Native comes from its advantages. Some of its advantages are as follows:
Are you wondering whether React Native is just another of those hybrid frameworks like Ionic or Cordova? It’s not! React Native is fundamentally different from these earlier hybrid frameworks.
React Native is very close to native. Consider the following aspects as described on the React Native website:
Due to these factors, React Native offers many more advantages compared to those earlier hybrid frameworks. We now review them.
#android app #frontend #ios app #mobile app development #benefits of react native #is react native good for mobile app development #native vs #pros and cons of react native #react mobile development #react native development #react native experience #react native framework #react native ios vs android #react native pros and cons #react native vs android #react native vs native #react native vs native performance #react vs native #why react native #why use react native
At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Table of Contents hide
The Size and declared value and its sequence of the object can able to be modified called mutable objects.
Mutable Data Types are list, dict, set, byte array
The Size and declared value and its sequence of the object can able to be modified.
Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.
id() and type() is used to know the Identity and data type of the object
a**=str(“Hello python world”)****#str**
Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.
Python supports 3 types of numeric data.
int (signed integers like 20, 2, 225, etc.)
float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)
complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)
A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).
The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.
# String Handling
#single (') Quoted String
# Double (") Quoted String
# triple (‘’') (“”") Quoted String
In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.
The operator “+” is used to concatenate strings and “*” is used to repeat the string.
'Output : Python python ’
#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type
Type systems are typically categorized as either structural or nominal. Languages like Java and Scala have primarily nominal type systems, whereas a language like Typescript has a structural type system. Let’s take a brief look at both systems.
In a nominal typing system, type compatibility is checked using the name of the types. If they do not have the same name, then they are not compatible; end of story. **If **Typescript had a nominal typing system the type check for the last line would fail:
Typescript uses structural typing to decide whether two types are compatible with one another or not. What do we mean by structural typing? Well, let’s consider the following code snippet:
To determine whether the type of the constant
RGBA) is compatible with the type of
RGB) the type system must verify that each member of
RGB has a corresponding compatible member in
RGBA. In this case,
RGB has a single member
color for which
RGBA has a corresponding member with the same type —
[number, number, number] — and so it passes the type check. Notice how the type system ignores the additional members that exist on
#typescript #type-safe #type-systems
If you are writing reusable code, chances are high that you will write quite some code that deals with types, generics, and interfaces. Over the years, the collection of my helper extensions for that have grown. As some of my upcoming posts use them, I share them (also) for future reference.
Deriving types is a common practice. To some extent, you can use pattern matching. Sometimes, that isn’t enough, though (especially if you have a multi-level derivation path). This is when I use one of these two extensions:
public static bool IsDerivingFrom(this Type type, Type searchType)
if (type == null) throw new NullReferenceException();
type.BaseType != null &&
(type.BaseType == searchType ||
public static bool IsDerivingFromGenericType(this Type type, Type searchGenericType)
if (type == null) throw new ArgumentNullException(nameof(type));
if (searchGenericType == null) throw new ArgumentNullException(nameof(searchGenericType));
type != typeof(object) &&
searchGenericType.GetGenericTypeDefinition() == searchGenericType ||
Update 1: Type.IsSubclassOf will give you the same result as IsDerivingFrom. The main purpose was (is) to use my implementation when having multiple levels of derivation and being able to debug the whole detection process.
Sometimes, one needs to know the item type of an IEnumerable. These two extensions will help you in this case:
[System.Diagnostics.CodeAnalysis.SuppressMessage("Style", "IDE0060:Remove unused parameter", Justification = "Extension method")]
public static Type GetItemType<T>(this IEnumerable<T> enumerable) => typeof(T);
public static Type? GetItemType(this object enumerable)
=> enumerable == null ? null :
Interfaces are supposed to make the life of a developer easier. Like with the type derivation, sometimes we need to know if a type implements a certain interface. This extension answers the question for you:
public static bool ImplementsInterface(this Type? type, Type? @interface)
bool result = false;
if (type == null || @interface == null)
var interfaces = type.GetInterfaces();
foreach (var item in interfaces)
if (item.IsConstructedGenericType && item.GetGenericTypeDefinition() == @interface)
result = true;
foreach (var item in interfaces)
if (item == @interface)
result = true;
Update 2: Type.IsAssignableFrom will also tell you if a type implements an interface. As for the IsDerivingFrom method, I wanted to be able to debug the detection, which is - besides from having an explicit implementation - the main reason for this method.
#web dev #mvvm #interface #types #type #assembly #extension methods #dev stories #helper #msicc