Good coding practices for backend developers

Backend development is often not appreciated as much as the front end for apparent reasons. When the technology empowering those immersive UI/UX designs is hiding from the end-user, it is easy to lose sight of its importance. But the industry understands the complexity involved in writing backend code. There is a lot to handle, from APIs and server optimization to caching and cookies. Amidst all these coding responsibilities, it is easy for backend developers to commit mistakes.

This article lists some good coding practices that backend developers can use to write code efficiently without worrying about bugs or errors.

1. Validate inputs

Once your application is live, a lot will happen. Hackers may penetrate the system, or users can trigger an unintended use case. To avoid these issues, you must implement rules to validate inputs. This will ensure that only valid inputs are going to the downstream systems.

There are two best coding practices to validate the inputs. First, API gateways can be used for validation. The validation of inputs at the API gateway level is a more generic type that uses policies like schema and format to validate the information. Second, microservice level validation can be implemented to check the entries. There are many open-source libraries available that you can import into your project for microservice-level validations. Joi validator is one package you can use to ease input validation.

2. Handle errors carefully 

No error must be left unattended as it further complicates debugging. After validating the inputs, the discovered errors must be appropriately handled. The microservices/mesh architecture errors must be handled correctly because many services are interconnected here. If one service crashed due to a mistake, it could send ripple effects across, affecting the whole system. It will be a whole lot of trouble to handle errors at a system level.

Many backend developers use a combination of methods to handle errors that can cause a system-level impact. For instance, Circuit Breaker is one way to prevent repeated invocation of services that are most likely to fail and cause a ripple effect. Here is an example of how you can implement Circuit Breaker in NodeJS and Spring Cloud. Another way is to use error codes to handle exceptions. This approach will ensure that the code returns a response code without crashing the service. Most enterprise-level services handle API errors with HTTP codes to facilitate troubleshooting.

3. Separation of concerns

Separation of concerns is one of the essential elements of software architecture. Enterprises use this approach to correctly separate the security concerns and improve the maintainability of the code. Backend developers can make their code modular with this approach. It is a coding practice that will make your code readable to other developers making it easier for other developers to collaborate with you, as they do not have to spend unnecessary time getting up to speed.

There are several ways to structure your code; for instance, the MVC framework is primarily implemented to separate the software’s model, view, and controller layers. The idea is to establish a standard practice for the team to follow to separate concerns. Here are some excellent references on the separation of concerns. You can choose the one that best fits your application.

Separation of concerns is a practice that significantly reduces barriers to entry when it comes to coding and makes it easier to read and learn from. This directly translates into the overall speed and efficiency of product development.

4. Write test cases and documentation

Backend development is complicated, and writing test cases before development helps visualize the end product. This is important because it minimizes subsequent changes that can prolong product development. When you write test cases, you are putting up barriers that detect any downstream impact of the changes you made to the code base before things spiral out of control.

Test-driven backend development is one of the best practices that advocates writing test cases before you start the development. It might take more time, but it’s a recommended approach for critical services because the bottom-top of software development is more efficient than the top-down approach.

Another best practice for backend developers is to document everything they write. When working on a product, it can be enticing to keep writing code for productivity and deploying the project faster without any documentation. However, as the product code grows, in the absence of documentation, developers will have to reach out to each other more frequently to clarify codes. This will eventually slow down the project development and hinder productivity. Backend developers are often tasked with the API documentation. Fortunately, you can use the Postman documentation tool to document your API development.

Conclusion 

The best practices for coding that are listed here might not appear to be effective if you are working on the project single-handedly. However, as more developers join your team, you will understand the importance of these practices rather than implementing these approaches later on in the software development life-cycle.

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5 simple tricks to improve your logic in coding

Programming has several elements. It’s not just syntax to instruct processors to act on, but smartly put together logic that achieves the most complex operations. Developers are in a niche where continuous learning is the only way to remain relevant. Keeping getting better at logical coding, that is, developing logic, is an essential requirement.

Learning programming languages gives you the skills to write code with correct syntax, but the core functionality is based on data structures, algorithms, and different programming paradigms. Logic building is another requisite to be able to solve problems efficiently.

In this article, we explore ways to improve your logic in coding.

1. Master the concepts for better programming 

When you are given a problem to solve programmatically, you have to understand the context of the solution by breaking it down to the basic building blocks. The secret to writing logic for any problem is having in-depth knowledge of algorithms and working on sample problems as much as possible. Coding practice will expose you to challenges that will help you write better logic. 

All the theoretical knowledge you gain from reading articles, blogs, tutorials, and other essential developer toolkits will build your concepts. Applying concepts can quickly solve challenges you will face in your professional career. Practice the concept you learn. That’s how you improve your logical programming.

2. Get solutions evaluated by other developers

Programming assignments can involve challenges that other developers might have dealt with. Check for solutions available online. It is not to copy and paste the code but to learn how to handle programming challenges. This is especially true in understanding the logic behind the solutions because developers sharing their solutions in communities and forums explain why a certain logic is used and how it was built.

Your focus must be on the “why” because if you want to improve your logical programming, you need to know how a program’s logic functions and affects the outcome. Several resources to learn are available on GitHub. You can participate in open-source projects to learn from them as well.

A mistake most learners commit is to keep wasting their time on a problem. There’s no harm in learning from available solutions. Learning how others build logic to solve a problem will allow you to re-enact the process if required.

3. Pen and paper approach

One way to become stronger in logical coding is to practice on paper. If you start coding on the IDE directly, your attention will be divided between syntax, formatting, and logic. However, when you write the pseudo code or algorithm on paper, you focus only on getting the logic right. The pen and paper approach is what made Google the mammoth of search engines. It’s an inspiring story of two of the best Google engineers, Jeff Dean and Sanjay Ghemawat, who changed the company’s course for the better. The legend is that the two engineers maintain a text in which they solve the biggest challenges of writing logic on paper. If the approach is good enough for them, it’s suitable for any other developer.

4. Follow step-by-step approach

Like every other skill, you must take things step-by-step to improve your logical coding ability. Gradually moving up the challenge is how you will improve logic in your programs. Start from basic and then move on to advanced problems. For instance, you can practice in a set of 10 problems – 5 easy ones, 3 medium levels, and 2 hard questions.

It would help if you did not give up when faced with such challenges or lose confidence in your skills. Complex programming challenges will keep arising; your focus must be on learning. If you plan to get good at logical coding, you must face complex problems with optimism. Refer to the solutions in books and other resources if you get stuck. Keep in mind that developers are occupationally required to solve challenging problems strategically step-by-step, which is why they are some of the highest-paid professionals.

5. Keep learning new things

As a software developer, you will be expected to solve myriad challenges throughout your career. This is why you must keep learning new things as your career progresses. Taking the same solution path to solving problems repeatedly will limit your creativity and intuition.

Programmers can only expand their logic-building skills by tackling new challenges and topics. Delve into unknown territories and explore new ways to solve problems. Don’t be too rigid in your learning. Accept that there is no set way to build logic to solve a problem. There can be multiple approaches to solving a problem. You must keep trying new issues and algorithms to improve your logic-building skills.

Conclusion 

Be consistent at implementing these simple tricks, and you will gradually improve your logical coding skills. Patience and continuous learning must be your virtue when enhancing your programming skills.

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4 great tips to stand out in a coding interview

Software developers often have to feel the weight of the struggle of preparing for interviews more than several other professionals. This is because, as a developer, you will have to persist through verbal interviews and several coding exams, whiteboard tests, and behavioral interviews.

Unsurprisingly, developers work hard to prepare for technical interviews by solving challenges, reading tutorials, and exploring tricky interview questions.

A typical coding interview involves writing the code in real-time on a whiteboard or collaborative editor. You are given 30 to 45 minutes to solve the problem. The interviewer will look at your code to see if you meet the role’s requirements. It is your responsibility to show them that you have the skills. Your communication skills are important as you must explain your thought process while typing code.

To stand apart from the beginning, you can communicate your approach to the interviewer even before you start to code to validate your approach. Most candidates do not care about sharing their thought processes and end up coding an unacceptable approach.

This article shares some tips to stand out in a coding interview.

1. Ask for clarifications

A significant distinction between verbal and technical coding interviews is that you can explore the question on deeper technical grounds. You can ask for clarification if you are unclear about the exact expectation from the question.

It is not uncommon to see many candidates start solving problems without asking for clarification. Most of them realize half the way through solving the problem that they went in the wrong direction. For instance, if the question is about resetting an array by removing all the empty elements, you can ask the interviewer whether you are allowed to use an array.length function or not.

An ideal software development candidate is the one who asks for every detail and the requirement of the project to ensure that all business needs are met. To practice, you can have a brainstorming session with your colleagues or friends.

Remember, you must ask good questions that demonstrate your problem-solving strategy, not random queries.

2. Demonstrate analytical thinking

The primary goal of a technical coding interview is to challenge your analytical thinking. Learning a programming language is not difficult; nurturing problem-solving skills makes you unique as a candidate. The interviewer is trying to evaluate your ability to foresee potential issues when writing a program.

Be prepared to defend yourself against why you chose a particular technology for the problem. For example, if you opted for a relational database instead of a nonrelational one, you can be asked to clarify your approach. The trick here is not to be biased toward a particular technology. Instead, it would be best if you focused on the needs of the business rather than your personal favorite. Analytical thinking is a valuable skill that indicates that you will take a logical approach to complex problems to deploy optimized solutions rather than sticking with a programming language, framework, or platform you like.

3. Show willingness to learn

An example of a bad interview is when a candidate states they have fluency with a particular programming language and don’t want to explore new technologies. It portrays you as someone who is not willing to learn. Such an approach might be okay if you’re a freelance developer, but companies prefer software engineers who are self-driven learners.

Not just for technical interviews but as a habit, you must explore new domains that might interest you. For instance, you might find DevOps and AI interesting if you are a backend developer. Make it a point to mention during an interview what you are interested in and how you are educating yourself. When you show your willingness to learn, you become an attractive candidate. You don’t have to worry about mastering the new programming language or technology completely. The point of this approach is that you keep learning more about technologies to broaden your knowledge. It helps you find new strategies to solve a given problem.

4. Tell them about your hobby project 

You need to start one if you already don’t have a hobby coding project. Companies find developers who are passionate about hobby projects attractive. It not only demonstrates your dedication to the profession but also speaks of the technology you are currently using or exploring.

While it might seem odd, only a fraction of software developers have hobby projects, so if you maintain projects outside the work, don’t be shy to show off your accomplishments at home.

Conclusion 

Today, coding interviews evaluate more than just your technical skills. Companies strategize technical interview rounds in a manner to anticipate your structured analytical thinking, eagerness to learn, and ability to persevere under pressure. We hope these tips will help you prepare for your following technical interview.

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4 effective tips and tricks to write better Python code

Python is one of the most discussed programming languages among tech professionals at present. Not only for software development but also for machine learning and data science, Python is the preferred choice. Due to its fairly easy learning curve and mature and supportive community, new learners can get started easily. Also, hundreds of open-source libraries and frameworks, and the versatility and efficiency of Python make it a valuable programming language to add to your skills.

This article shares some tips and tricks for beginners and experienced programmers to write better Python code. The tips will help write more readable and faster code quickly.

1. Start using list comprehension instead of for loops 

For loops in Python code can cause unnecessary nesting that results in hard-to-read and maintain code. You can make your Python code much simpler with a list comprehension. It is a more straightforward and elegant way to create lists from existing lists. Using brackets, you can repeatedly execute each iteration with a single line of code. You can make your code time and space efficient by replacing loops and iterative statements with a list comprehension.

Here’s the usual syntax for list comprehension:

newList = [ expression(element) for element in oldList if condition ]

In practical applications, it is used like this:

# Loop iteration using list comprehension

List = [character for character in ‘HackerNoon’]

 # Displaying list

print(List)

# Output

# [‘H’, ‘a’, ‘c’, ‘k’, ‘e’, ‘r’, ‘N’, ‘o’, ‘o’, ‘n’]”

2. Using NotImplementedError for offensive programming

Python comes with an in-built NotImplementedError exception, a valuable feature for offensive programming. In offensive programming, developers avoid defensive principles when dealing with software bugs.

One example is when we control the input to align it with the format accepted by our code. It is not easy to sanitize every input, and it can be an inconvenience for future development.

Have a look at the code below in which we define a registering decorator and some functions:

import math

REGISTRY = {}

def register(name):

   def _decorator(fn):

     REGISTRY[name] = fn

     return fn

   return _decorator

@register(“relu”)

def rectified(x):

   return x if x > 0 else 0

@register(“sigmoid”)

def sigmoid(x):

   return 1/(1 + math.exp(-x))

def activate(x, funcname):

   if funcname not in REGISTRY:

     raise NotImplementedError(f”Function {funcname} is not implemented”)

   else:

     func = REGISTRY[funcname]

     return func(x)

print(activate(1.23, “relu”))

print(activate(1.23, “sigmoid”))

print(activate(1.23, “tanh”))

Here we used the NotImplementedError with a custom error message for the function activate(). The output of the code will be:

1.23

0.7738185742694538

Traceback (most recent call last):

  File “/Users/MLM/offensive.py”, line 28, in <module>  

print(activate(1.23, “tanh”))

  File “/Users/MLM/offensive.py”, line 21, in activate

   raise NotImplementedError(f”Function {funcname} is not implemented”)

NotImplementedError: Function tanh is not implemented

The result of the first two functions is printed, but the third function fails as we haven’t defined the tanh function yet.

This is an example of how you can use the NotImplementedError: in places in your code that still don’t meet the validity of the conditions but later on will have validation as the project proceeds.

3. Use generators to save memory 

In Python, the basic function of a generator is to evaluate the elements of a code on demand. As the syntax for list comprehension, here you use parentheses instead of square brackets. 

Here’s a code to generate the square of all even numbers in a list using generators: 

myList = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

print(“The given list is:”, myList)

mygen = (element ** 2 for element in myList if element % 2 == 0)

print(“Elements obtained from the generator are:”)

for ele in mygen:

   print(ele)

The output:

The given list is: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

Elements obtained from the generator are:

4

16

36

64

100

Beginners might find it hard to decide how the list comprehension differs from generators, given that their syntax is almost identical. 

Unlike list or set comprehension, generator comprehension does not initialize any objects. This is how using a generator comprehension lowers the memory requirement for a program. 

4. Define default values in Dictionaries with .get() and .setdefault()

Beginners often struggle with providing a default value for the Dictionaries function in their Python code. You can forget about assignment default value with the use of .setdefault() and .get().

With the .setdefault() method, you can set dict[key]=default if there is no key for the dict function already. You set the .setdefault() like this:

dict.setdefault(key, default=None)

Example code:

a_dictionary = {“a”: 1, “b”: 2, “d”: 4}

a_dictionary.setdefault(“c”, 3)

print(a_dictionary)

The output of the above code would look like this:

{‘a’: 1, ‘b’: 2, ‘d’: 4, ‘c’: 3}

The same functionality can be achieved using the .get() method, but you pass a default value for the key here. Here’s how it works:

a_dictionary = {“a”: 1, “b”: 2, “d”: 4}

print(a_dictionary.get(“c”, 3))

print(a_dictionary)

The output of the above code:

3

{‘a’: 1, ‘b’: 2, ‘d’: 4}

Conclusion 

Python has scope in multiple fields, and as you learn the scope of the language, you will know more tricks to optimize your code.

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Essential React design patterns for developers

React has kept its spot of being the most widely used JavaScript framework since its inception. It is used on 24% of the entire internet, making it a great JavaScript library to master. As a front-end developer, you must keep up with the evolution of technologies, but React is a framework that keeps steady with its reusable components. Learning React.js will benefit your career as it is there to stay.

Facebook, the creator of React, actively develops and maintains the library giving it the much-needed edge over other frameworks and libraries. React can use the design patterns to offer a robust development environment compared to other JavaScript libraries.

The importance of React design patterns 

Design patterns are essential concepts of project development. React and every other programming language has some design patterns that help prevent the commonly occurring problems in software development.

In simpler terms, React design patterns are the basic templates upon which you can build a program’s functionality according to the given requirements. Developers who understand design patterns can speed up the development process. Also, such software engineers will be able to write easier-to-read and maintain code.

This article will cover some basic React design patterns that developers must know.

The HOC (Higher Order Component) Pattern

When creating Reactive applications, you often have to use the same logic in various modules—for instance, using the same design elements for different Card Views or third-party subscription data components in the interface design.

Higher-order components are a popular React design pattern for creating logic shared between various components. With the HOC pattern, you don’t have to rewrite the code; you can extend the existing code’s functionality. HOC functions are considered pure functions as they do not have any side effects on the quality of the code.

A HOC function is a JavaScript function that takes a component as an argument and returns another component by adding additional data to the Component. This functionality is inherent to React as the programming language prefers composition over inheritance. Here’s an example of a HOC React design pattern:

import React, { Component } from “react”;

const higherOrderComponent = (DecoratedComponent) => {

  class HOC extends Component {

   render() {

    return <DecoratedComponent />;

   }

  }

  return HOC;

};

Many popular React frameworks use this design pattern, most notably Redux’s connection function. If your project is based on React or Redux, you can use a higher-order component design pattern to simplify your code and make it more maintainable.

React Hooks design patterns

Hooks were introduced in React version 16.8, and they revolutionized how developers build React components. The React Hook API lets components access the most commonly used React features like state, props, context, refs, and lifecycle. When you use the React Hook design pattern, you increase the potential of functional components as they are now as powerful as the class components.

A React Hook design pattern might seem similar to a Presentational and Container Components design pattern, but there’s a difference. 

Presentational and Container Component design patterns usually create massive logic split across different lifecycle methods. Such components are hard to read and maintain. React Hooks make functional components highly robust, and they can perform all the functions of containers but without their limitations.

Here’s an example of a container method:

import React, { Component } from “react”;

class Profile extends Component {

constructor(props) {

   super(props);

   this.state = {

    loading: false,

    user: {},

   };

  }

componentDidMount() {

  this.subscribeToOnlineStatus(this.props.id);

  this.updateProfile(this.props.id);

  }

componentDidUpdate(prevProps) {

   // compariation hell.

   if (prevProps.id !== this.props.id) {

   this.updateProfile(this.props.id);

   }

  }

componentWillUnmount() {

this.unSubscribeToOnlineStatus(this.props.id);

  }

subscribeToOnlineStatus() {

   // subscribe logic

  }

unSubscribeToOnlineStatus() {

   // unscubscribe logic

  }

  fetchUser(id) {

   // fetch users logic here

  }

  async updateProfile(id) {

   this.setState({ loading: true });

   // fetch users data

   await this.fetchUser(id);

   this.setState({ loading: false });

  }

  render() {

   // … some jsx

  }

}

export default Profile;

The code is not optimal. The setState() can only change the first level of any state object. Also, the inline action methods like the onHandleChange() increase the line of code. Related logic is repeated multiple times.

The same code using React hooks design pattern:

import React, { useState, useEffect } from “react”;

function Profile({ id }) {

  const [loading, setLoading] = useState(false);

  const [user, setUser] = useState({});

// Similar to componentDidMount and componentDidUpdate:

  useEffect(() => {

  updateProfile(id);

  subscribeToOnlineStatus(id);

   return () => {

   unSubscribeToOnlineStatus(id);

   };

  }, [id]);

 const subscribeToOnlineStatus = () => {

   // subscribe logic

  };

const unSubscribeToOnlineStatus = () => {

   // unsubscribe logic

  };

const fetchUser = (id) => {

   // fetch user logic here

  };

const updateProfile = async (id) => {

  setLoading(true);

   // fetch user data

   await fetchUser(id);

  setLoading(false);

  };

return; // … jsx logic

}

export default Profile;

Now you have direct access to the state of objects, and functional components can also use state. The useEffect method replaces lifecycle methods like componentDidMount and componentWillInmount, making code cleaner and concise.

Conclusion 

React design patterns can give you access to fantastic programming language features to create scalable, secure, and robust React apps. The above two React design patterns are generally used to write clean and maintainable React code. Also, don’t miss our React developer toolkit that lists additional resources React developers can use to upskill.

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React useEffect v/s useLayoutEffect Hook: Key differences

React is a popular frontend UI library that is used in almost 50 million projects each month. React, which is supported by Facebook, has a long history of dominance in the web development industry and a long list of notable clients, including Fortune 500 firms and both startups and established businesses.

React utterly depends on components, which are the basic building blocks of React applications. There are two approaches to writing a React component in the world of React. The first employs a functional approach, whereas the second employs a class-based approach. These days, functional components are quite popular, and the introduction of hooks has encouraged more people to adopt creating function-based components.

Some of the most useful hooks available are useState, useEffect, useRef, useLayoutEffect, useMemo, etc. In this in-depth article, we will cover the difference between the useEffect and useLayoutEffect hooks. 

What is the useEffect hook in React?

Eliminating the side effects of using class-based components is the driving force behind the development of useEffect Hook. One thing to keep in mind is that useEffect only runs after React renders your component, so your effect callback will not prevent browser painting. This is different from how class components behave, where componentDidUpdate and componentDidMount run synchronously following the rendering. This approach is more efficient, which is generally what you want most of the time.

For instance, actions like updating the DOM, obtaining data from API endpoints, configuring timers or subscriptions, etc., may have unintended side effects.

The following situations in functional components allow for the use of the useEffect hook to carry out operations (or side effects):

  • when a component is rendered (componentDidMount function in class-based components).
  • when a component undergoes an update (componentDidUpdate function in class-based components).
  • before a component is unmounted or removed (componentWillUnmount function in class-based components).

Most frequently, we use useEffect hooks to carry out actions such as obtaining data from an API, altering the DOM, or performing a specific method when the useEffect’s dependency changes.

How to write useEffect hooks in React

Every time the useEffect hook is activated, it returns a callback function that will execute the declared function. The dependency array decides when the useEffect should be triggered. If we have an empty dependency array, the useEffect will only work once when the component renders. If we have single or multiple dependencies, useEffect will be triggered whenever the dependencies undergo a change.

Let’s examine a straightforward example of useEffect in action.

 The output will be the following:

You can see that when the component renders, the useEffect hooks are only executed once. However, if there is another change in the DOM, it will cause the useEffect to be triggered for the second time. To avoid this, pass an empty dependency array. 

Now that we have a good idea about how the effect works, let’s discuss the useLayoutEffect hook in React.

What is useLayoutEffect hook in React?

React’s useLayoutEffect hook is almost identical to the useEffect hook. A function called effect and an array of dependencies are the first and second arguments, respectively, for the useLayoutEffect hook. 

After all DOM mutations have been completed by React, useLayoutEffect executes synchronously. If you need to measure the DOM (for example, to determine the scroll position or other styles for an element) and then modify the DOM or cause a synchronous re-render by changing the state, this can be helpful.

The useLayoutEffect hook’s syntax is almost identical to that of the useEffect hook. The effect, the first argument, has two possible outcomes: cleanup function or undefined. The code below demonstrates the useLayoutEffect function.

As you can see from the function above, useEffect and useLayoutEffect both accept an array of dependencies and an effect function as arguments, and they return either undefined or a cleanup function.

Let’s examine a sample of how to use the useLayoutEffect hook. 

The output of the following will be:

It is noticeable that useLayoutEffect functions in a manner identical to that of the useEffect hook. So what is the actual difference between these two hooks?

What is the difference between useLayoutEffect and useEffect hook?

The main difference between the useEffect hook and the useLayoutEffect hook is that the useEffect hook serves asynchronously, whereas the useLayoutEffect hook works synchronously. In simple words, we can say that the difference between useEffect and useLayoutEffect is in the time at which these functions are invoked.

It is useful to be aware of the steps that component re-render takes in order to comprehend when the hooks are called. Assuming that the useEffect hook is active in our app, we can get this series of events to happen.

  1. The user engages with the React app. Let’s just say the user clicks a button on the UI.
  2. The state of the components changes.
  3. The DOM is then mutated.
  4. Changes are then reflected on the browser screen.
  5. The function is invoked to clean up effects from the previous render if useEffect dependencies have changed.
  6. Following cleanup, the useEffect hook is invoked.

For the useLayoutEffect hook, the series of events will be

  1. The user interacts with the app. Let’s just say the user clicks a button on the UI.
  2. The state of the components changes.
  3. The DOM is then mutated.
  4. The function is invoked to clean up effects from the previous render if useLayoutEffect dependencies have changed.
  5. Following cleanup, the useLayoutEffect hook is invoked.
  6. The browser screen updates to reflect changes.

Your effect will typically involve synchronizing some state or props with something that doesn’t need to happen instantly or that doesn’t visually change the page. We might only need to retrieve data from an API, set an event handler, or take action when the state changes. The useEffect hook is employed to accomplish these kinds of tasks.

When to use useLayoutEffect hook in React

The useLayoutEffect hook should be used when your component flickers when the state is updated, which means that it first renders in a partially-ready state before re-rendering in its final state right away.

Now let’s compare useLayoutEffect and useEffect using an example:

 

We developed a simple app with a button element. When the user clicks the button, the value is updated to 0 and the dependency array of the useLayoutEffect array is value. Within the useLayoutEffect, we check the value and if it is 0, it changes the value from 0 to a random number.

In this example, the component is rendered twice, but the value is only updated once in the browser. Let’s look at the same example with useLayoutEffect.

 

 

You can see there is flickering when using useEffect since the component is rendered twice and the value is also updated twice.

Even though the component renders twice, the version with useLayoutEffect only updates visually once. On the other hand, the useEffect version renders twice, resulting in a blip where the value is briefly 0.

The main difference between the useEffect and useLayoutEffect hooks, as shown in the example, is the time at which they are fired. We will look into some real-world applications of these two hooks with some examples.

Let’s create an app that fetches data from a dummy backend API.

 

The output of the following code will be:

If you run this example on your machine, you will see that data is populated first in useLayoutEffect and then in useEffect. This is just because of the synchronous nature of the useLayoutEffect hook and the asynchronous nature of the useEffect hook.

UseLayoutEffect is preferred over useEffect hooks in the following situations:

Unforeseen visual or state changes

When dealing with inconsistent visual changes, the useLayoutEffect truly shines. When you use useEffect, you’ll notice a flicker before the DOM changes are painted, which is caused by how refs are passed on to custom hooks. These refs are initially null before being set when the attached DOM node is rendered.

When the effect does not require heavy computations 

Both useEffect and useLayoutEffect behave differently in terms of how heavy computations are handled. As previously stated, useEffect will postpone the execution of the effect function until after the DOM mutations have been painted, making it the obvious choice of the two. 

When we do heavy computation inside useLayoutEffect, we will block the DOM to re-render for some time. 99% of the time, we don’t need to block DOM updates. At this point in time, we only need to use useEffect and not useLayoutEffect.

Which is preferred, useEffect or useLayoutEffect?

The majority of the time, useEffect is the best option. If your code is causing flickering, try using useLayoutEffect instead and see if that tends to help.

Because useLayoutEffect is synchronous, the application will not update visually until your effect has finished running. If you have slow code in your effect, it may cause performance issues such as stuttering. Because most effects do not require breaking the default flow while they run, regular useEffect is always the best option in almost all cases, except a few.

Conclusion 

Congratulations on reaching this far! You’re a fantastic reader!!

In this detailed blog on useEffect v/s useLayoutEffect, we have seen various similarities as well as the uniqueness of useEffect and useLayoutEffect hooks. Not only did we understand the theory, but we also got our hands dirty by going through several real-world examples.

Now you know when to use useEffect and useLayoutEffect efficiently.

Happy Reacting!

 

5 Best websites to learn JavaScript coding for beginners

According to Atwood’s Law, “Any application that can be written in JavaScript, will eventually be written in JavaScript.”

It proved accurate as JavaScript is one of the major programming languages for building web apps. If you are beginning your journey as a developer, you should focus on learning JavaScript for web development. Even if you are an experienced programmer who never worked with web applications, learning this programming language will broaden your horizons. Once considered a strictly client-side language, Node.js now allows JavaScript to run both the front-end and back-end applications. Fortunately, there are several resources for beginners to learn JavaScript.

Here, we have compiled a list of the five best websites to learn JavaScript coding:

1. Udemy Free JavaScript Tutorials 

Udemy is one of the best online resources for developers to learn and upskill. The website hosts free and premium online courses and tutorials in all technologies, including JavaScript, Java, Python, Spring, REST, Selenium, etc.

We recommend you use these tutorials for learning JavaScript as they are comprehensively structured for beginners to follow.

The Complete JavaScript Course 2022: From Zero to Expert!

The Complete JavaScript Course 2022: Build Real Projects

The Web Developer Bootcamp

While these courses are not free, their quality makes them a worthwhile investment. But, beginners can start with this free course first:

JavaScript Essentials

It teaches you the basic concepts of the languages and gives an overview of API design through a simple web project.

2. Pluralsight.com

Another great website to learn IT technologies. On Pluralsight, you will find many courses to learn programming languages like JavaScript. But it takes things a step further by allowing beginners to practice while they learn.

The site acquired CodeSchool, a live code editor that developers can use to write code through a browser to see how they worked. The best course on the site to learn JavaScript is the JavaScript Fundamentals by Liam Mclennan. While several free courses are available on Pluralsight, you should take its premium membership for the best courses. A membership gives you access to over 5000+ online courses, interactive quizzes, exercises, and certification material. 

3. Coursera JavaScript Foundation Courses

Like Udemy, Coursera is an excellent online learning platform that offers quality JavaScript tutorials and courses. Founded by Stanford professors Andrew Ng and Daphne Koller, the platform grew fast and became one of the leading online degree platforms for IT professionals.

Learning JavaScript on Coursera will be a different experience. For instance, the course’s progress in a curriculum is similar to universities and you get a certification on completion. The website offers courses enabled by renowned universities like Stanford, University of London, Imperial College of London, University of Michigan, and Colorado.

Some of the best courses to learn JavaScript on Coursera are:

Programming Foundations with JavaScript, HTML, and CSS

Interactivity with JavaScript

HTML, CSS, and JavaScript for Web Developers

Beginners can get a good grasp of JavaScript with these courses. Furthermore, on completing courses, Coursera offers you a certification that you can showcase on your LinkedIn profile.

4. Freecodecamp.org

This website is a community-driven learning platform for beginners to learn how to code for free, build real-world projects, and land a job as a developer.

Freecodecamp has a massive repository of interactive tutorials and practice courses for learning JavaScript and other web development concepts. Many coders find this website a lot more interactive as it provides them with tools to learn through doing. You will also be able to connect with fellow learners and experienced programmers who mentor beginners. You will find over 2000 JavaScript courses on this website that are entirely free. Apart from that, Freecodecamp has a robust Facebook Group and Medium blog where they share articles and resources on trending topics and technologies.

5. Codecademy

Many first-time coders learn JavaScript from Codecademy as it offers a learning curriculum different from other websites listed here. The website has designed a crisp and easy-to-follow JavaScript course that helps beginners learn the essential concepts of the programming language at an accelerated pace.

The Introduction of JavaScript Course teaches developers both the programming language’s front-end and back-end aspects. The course is self-paced, so beginners can pause in between or revisit a concept later. This is why this JavaScript course for beginners has over 5 million enrolled students.

In this free course, developers get introduced to the most common concepts of JavaScript, such as functions, scopes, conditionals, arrays, and iterations. Then the course moves on to intermediate-level skills such as APIs and frameworks. Finally, you put your learnings to the test by building games and interactive websites.

Conclusion

JavaScript is the language of the web. If you want to get into web development, you must learn the concepts of the language well. Also, companies expect both front-end and back-end developers to know at least one JavaScript framework. The websites we listed here are the best resources to get started with JavaScript.
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5 most popular programming languages in 2022

Learning a programming language is a big commitment and investment of time and energy. You do not want to waste time learning a language that is no longer in demand. When planning a career in software development, you need to know which programming languages are functional and have a scope for the upcoming applications. 

Our engineering team has picked out the languages in this list based on their experience, industry trends, and future scope. If you are confused, allow us to help you with a list of the most popular programming languages in 2022.

JavaScript

JavaScript tops the list of top programming languages as per the Stack Overflow 2020 Developer Survey. It is also touted as the web language because of its functionality, scalability, and interactivity functionalities. Learning JavaScript is the safest bet as it continues to dominate the web development domain. If you plan to take up web development, you must focus on learning JavaScript apart from HTML and CSS.

Did we tell you that JavaScript is also the most sought-out programming language by hiring managers in the US

Scope of learning JavaScript: Web development, mobile apps, game development, and building web servers

Here is a list of the top 6 JavaScript books to learn the language.

Python

Python is the fourth most popular programming language, used by 41.6% of all developers in the world. The general-purpose programming language is used primarily for backend applications. It is one of the best programming languages to master as you can follow any programming style while using it – functional, reflective, or object-oriented.

Whether you’re a beginner or an experienced developer, you can learn Python quickly as it does not follow string syntax like Java or C. The language also has an extensive library of packages that allows for faster development. Today, over 50% of hiring managers seek candidates skilled in Python programming, and it is simply one of the most in-demand programming languages of 2022. 

Scope of learning Python: Backend development, app development, data science, and automation

Check out our Python toolkit for developers to find learning resources and more.

Java

Java is the fifth most commonly used programming language, according to Stack Overflow. It is a functional programming language that has been at the top of the popularity scale for enterprise application development for many years. Java has applications in several industries, especially banking and finance for its object-oriented programming capabilities. With object-oriented programming, developers can put functions and data into objects and then use these objects to create programs in a structured manner. 

Learning Java is easy as its syntax is close to the natural language we use in our daily lives. It is also relatively easier to compile and debug than other practical languages like C.

Scope of learning Java: E-commerce, fintech, app development, and banking

Check out our Java developer’s toolkit for learning resources, online Java communities, etc. 

PHP

Arguably one of the best server-side scripting languages, PHP is used by over 80% of the websites on the internet. It is a popular language for building online applications, preferred by beginners and experienced programmers alike. PHP will continue to be one of the top programming languages in 2022 because its code can be readjusted to accommodate new features without additional expenditure. Its extraordinary resourcefulness is the reason why websites like Facebook and Wikimedia use PHP in their tech stack.

PHP is easy to learn. It follows a logical and consistent syntactical structure. Applications and websites built in PHP are highly flexible, fast, and compatible with multiple operating systems.

Scope of learning PHP: Web development, building servers, E-commerce, and CMS

Learn PHP with these resources: PHP ManualPHP Tutorial by W3Schools, and Killer PHP.

Go

Go is a relatively new programming language that was developed at Google in 2007. It is a top-tier programming language used for hardware and data-specific applications such as media editing and big data.

Go is a programming language that is known for its efficiency. Its ability to run multiple processes concurrently makes it extremely fast. Also, with an extensive ‘vocabulary’, it can display more information than any other programming language. It is easier to code in Go as it has no requirement for semicolons or curly braces for control structures like other programming languages.

Companies usually hire Go developers who can utilize its features to create applications that have top-notch memory safety functionality. Not only is Go one of the top programming languages to learn in 2022, but the related jobs also offer better pay, a 33% salary bump, to be specific. This is because, as compared to other programming languages, talent for Go development is scarce.

Scope of learning Go: Big data, system/network programming, and audio/video editing

Here are some resources to learn Go.

Learn Go: Free YouTube Channel from Freecodecamp

Go Annotated Tutorials

Introducing Go by Caleb Doxsey is an excellent book for beginners

Conclusion

Learning a new programming language is beneficial irrespective of your experience within the software development industry. However, it is essential to pick a programming language which has the scope to contribute to your career progress by remaining high in demand. The five top programming languages of 2022 will be good additions to your skillset.

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