<div data-purpose="safely-set-inner-html:description:description">
Hello Guys, Welcome to the course MERN Stack vs Next JS
This course is all about understanding the main differences between MERN Stack and Next JS.
Firstly, let's start with understanding what MERN Stack and Next JS are.
MERN Stack stands for MongoDB, Express, React, and Node.js. It is a popular web development stack used to build full-stack web applications. MongoDB is a NoSQL database, Express is a web application framework, React is a JavaScript library for building user interfaces, and Node.js is a JavaScript runtime environment.
Next JS, on the other hand, is a framework built on top of React. It is used to build server-rendered React applications with automatic code splitting and optimized performance. Next JS provides a variety of features that make it easier to build complex web applications, including server-side rendering, automatic code splitting, and optimized performance.
Now let's move on to the topics we will be covering in this course.
<ol>
<li>
Creating a MERN Stack application versus creating a Next JS application
</li>
</ol>
In this topic, we will compare the process of building a full-stack web application using MERN Stack versus building a server-rendered React application using Next JS. We will discuss the advantages and disadvantages of each approach and how to decide which one to use for your project.
<ol start="2">
<li>
Connecting front and back ends in both stacks
</li>
</ol>
Both MERN Stack and Next JS consist of a front-end and a back-end. In this topic, we will cover how to connect the front-end and back-end in both stacks, using RESTful APIs in MERN Stack and server-side rendering in Next JS.
<ol start="3">
<li>
Connecting to databases
</li>
</ol>
In MERN Stack, we use MongoDB as the database. In Next JS, we can use any database that is compatible with Node.js. In this topic, we will discuss how to connect to databases in both stacks and perform database operations
<ol start="4">
<li>
Making HTTP API calls with different methods with query strings and also parameters
</li>
</ol>
In both MERN Stack and Next JS, we need to make HTTP API calls to communicate between the front-end and back-end. In this topic, we will cover how to make HTTP API calls using different methods and how to pass query strings and parameters.
<ol start="5">
<li>
Performing all the CRUD operations
</li>
</ol>
CRUD stands for Create, Read, Update, and Delete. In this topic, we will discuss how to perform all the CRUD operations in both MERN Stack and Next JS.
<ol start="6">
<li>
Client component versus server-side components
</li>
</ol>
In MERN Stack, the front end is entirely client-side, whereas in Next JS, we can have server-side components. In this topic, we will discuss the differences between client-side and server-side components and when to use each one.
<ol start="7">
<li>
Deploying the application
</li>
</ol>
Finally, we will discuss how to deploy the application built using MERN Stack or Next JS. We will cover different deployment options and best practices for deploying web applications.
By the end of this course, you will have a clear understanding of the main differences between MERN Stack and Next JS and how to choose the right stack for your project. You will also have the knowledge and skills to build and deploy full-stack web applications using both stacks.
</div>
<div class="styles--audience--2xuzW" data-purpose="target-audience">
<h2 class="ud-heading-xl styles--audience__title--1qhlO">Who this course is for:</h2>
<ul class="styles--audience__list--16EaN">
<li>Fullstack Developers</li>
<li>MERN Stack Develoers</li>
<li>Next JS Developers</li>
</ul>
<h2 class="courseContentTitle">Course Content</h2>
<ul class="listDefUL">
<li>Creating MERN App &ndash;&gt; 3 lectures &bull; 27min.</li>
<li>Creating Next JS App &ndash;&gt; 3 lectures &bull; 27min.</li>
<li>Creating Pages / Routing in MERN &ndash;&gt; 2 lectures &bull; 27min.</li>
<li>Pages and API Routes in Next JS &ndash;&gt; 2 lectures &bull; 23min.</li>
<li>Mongo DB Connection &ndash;&gt; 2 lectures &bull; 18min.</li>
<li>Layout and Blog Form in MERN &ndash;&gt; 2 lectures &bull; 29min.</li>
<li>Layout and Blog Form in Next &ndash;&gt; 1 lecture &bull; 19min.</li>
<li>Adding a Blog &ndash;&gt; 2 lectures &bull; 28min.</li>
<li>Show Blogs in MERN &ndash;&gt; 2 lectures &bull; 24min.</li>
<li>Show Blogs in Next &ndash;&gt; 2 lectures &bull; 23min.</li>
<li>Server Components Advantages &ndash;&gt; 1 lecture &bull; 5min.</li>
<li>Edit and Delete Blog in MERN &ndash;&gt; 2 lectures &bull; 12min.</li>
<li>Edit and Delete Blog in Next &ndash;&gt; 2 lectures &bull; 20min.</li>
<li>Showing Loader / Spinner &ndash;&gt; 2 lectures &bull; 18min.</li>
<li>Deployment &ndash;&gt; 2 lectures &bull; 23min.</li>
</ul>
<h2 class="whatYouGetTitle">What you&rsquo;ll learn</h2>
<ul class="listDefUL">
<li>Creating a MERN Stack application versus creating a Next JS application.</li>
<li>Connecting front and back ends in both stacks.</li>
<li>Connecting to databases.</li>
<li>Making HTTP API calls with different methods with query strings and also parameters.</li>
<li>Performing all the CRUD operations.</li>
<li>Client component versus server-side components.</li>
<li>Deploying the application.</li>
<li>Complete Source Code.</li>
</ul>
</div>

MERN Stack vs Next JS , Build A Full-stack App From Scratch

Web & Mobile Designer :)

Complete Web & Mobile Designer in 2023: UI/UX, Figma, +more

Remix is a terrific tool for building simple websites and far superior for building complex web applications. Remix takes care of many issues in modern web improvement. You don't you dare even consider server cache management or global CSS namespace clashes. It isn't so much that Remix has APIs to avoid these issues; they basically don't exist while you're utilizing Remix!
This course and others like it are available as part of our Frontend Masters video membership.
&nbsp;
<h2>Table of Items</h2>
<h3>Presentation</h3>
Kent C. Dodds presents the course and examines the advantages of the advanced Remix topics. This course builds on the ideas learned in the Remix Fundamentals course.
&nbsp;
<h2>Repo Setup</h2>
Kent walks through the course repository and explains how to run the various applications. A README file with directions and places for note-taking accompanies each exercise. A question about testing is also addressed in this portion.
UI Functionality
<h3>Non-Nav Mutations Exercise</h3>
Students are told to utilize the useFetcher().Form component to avoid a full-page invigorate and history stack addition when the structure is submitted.
&nbsp;
<h3>Non-Nav Mutations Solution</h3>
Kent demonstrates the solution to the Non-Nav Mutation exercise.
&nbsp;
<h3>Optimistic UI Exercise</h3>
Students are told to apply Optimistic UI techniques to the application by posting new stores immediately after the client submits them.
&nbsp;
<h3>Optimistic UI Solution</h3>
Kent demonstrates the solution to the Optimistic UI exercise.
&nbsp;
<h3>Optimistic UI Q&amp;A</h3>
Kent utilizes a TodoMVC application to answer questions about handling numerous UI updates to the same component. Questions about managing fetchers are also answered in this fragment.
&nbsp;
<h3>Focus Management Exercise</h3>
Students are told to add rationale to focus the element with a validation error. In the event that there are no errors, the principal input element ought to be focused.
&nbsp;
<h3>Focus Management Solution</h3>
Kent codes the solution to the Focus Management exercise.
&nbsp;
<h3>Revalidation Optimization Exercise</h3>
Students are told to utilize the unstable_shouldReload API to indicate which courses ought to be reloaded when a particular mutation or client-side transition happens.
&nbsp;
<h3>Revalidation Optimization Solution</h3>
Kent demonstrates the solution to the Revalidation Optimization exercise.
&nbsp;
<h3>Non-Nav Fetching Exercise</h3>
Students are told to interface the combo box component to the database, so as the client starts composing, the combo box shows matching outcomes.
&nbsp;
<h3>Non-Nav Fetching Solution</h3>
Kent walks through the solution to the Non-Nav Fetching exercise.
&nbsp;
<h3>Imperative Mutations Exercise</h3>
Students are told to complete the Remix implementation of the logout modal. A post request ought to be shipped off the/logout course with the useSubmit() snare.
&nbsp;
<h3>Imperative Mutations Solution</h3>
Kent demonstrates the solution to the Imperative Mutations exercise.
Further developing Loading UX
&nbsp;
<h3>Pending UI Loading Spinner Exercise</h3>
Students are told to deliver the spinner component with the useTransition snare when the application is in a loading state. The twist delay package can also be utilized to delay the appearance and stowing away of the spinner.
&nbsp;
<h3>Pending UI Loading Spinner Solution</h3>
Kent walks through the solution to the Pending UI Loading Spinner exercise.
&nbsp;
<h3>Skeletons Exercise</h3>
Students are told to show a skeleton UI to further develop the client experience while the substance is loading. The useTransition().location.state item can assist with figuring out which client record is being transitioned.
&nbsp;
<h3>Skeletons Solution</h3>
Kent codes the solution to the Skeletons exercise.
&nbsp;
<h3>Defer Exercise</h3>
Students are told to execute the defer, Suspense, and Await APIs on the $customerId course to create the best loading experience.
&nbsp;
<h3>Defer Solution</h3>
Kent walks through the solution to the Defer exercise.
&nbsp;
<h3>Defer and React Streaming</h3>
Kent utilizes the organization profiler in the program engineer tools to explain how the Remix Defer component functions in tandem with React Streaming. A question about settling suspense objects is also examined in this portion.
&nbsp;
<h3>Suspense Boundary Error</h3>
Kent momentarily troubleshoots a boundary error tossed by the Suspense component.
<h2>Wrapping Up</h2>
Kent finishes up the course by answering questions about PWAs, CSS in components, Storybook integration, what's astonishing about the eventual fate of Remix, and local area assets.

Advanced Remix :)

Advanced Remix by Kent C. Dodds ( Frontendmasters )

<h1 id="kadanes-algorithm">Kadane's Algorithm</h1>
Kadane's algorithm is a greedy/dynamic programming algorithm that can be used on array problems to bring the time complexity down to&nbsp;�(�)O(n). It is used to calculate the maximum sum subarray ending at a particular position.
<h2 id="motivation">Motivation</h2>
Suppose we are given the following question:
<blockquote>
Q: Find a non-empty subarray with the largest sum.
</blockquote>
This question is asking us to find a group of contiguous values in an array that give the largest sum. We are then asked to return that sum.
If we forget about Kadane's algorithm for a second, the brute force way to approach this would be to go through every single subarray and calculate the sum, while keeping track of a maximum sum. This will work but there is a lot of repeated work. For every iteration of our outer for loop, our inner loop does linear work. This makes the complexity&nbsp;�(�2)O(n2).
<div class="code-toolbar">
<pre class="language-python" tabindex="0"><code class="hljs language-python">def bruteForce(nums):
 maxSum = nums[0]

 for i in range(len(nums)):
 curSum = 0
 for j in range(i, len(nums)):
 curSum += nums[j]
 maxSum = max(maxSum, curSum)
 return maxSum
</code></pre>
<div class="toolbar">
<div class="toolbar-item"><button class="copy-to-clipboard-button" type="button" data-copy-state="copy">Copy</button></div>
</div>
</div>
We can do better.
Kadane's algorithm tells us that there is a way to calculate the largest sum by only making one pass on the array, bringing the complexity down to linear time. Let's look at how that can be done.
Since we are looking for the largest sum, it is a good idea to avoid negative numbers because we know that contradicts what the question is asking for. Negative numbers will only make our sum smaller. Kadane's algorithm runs one for loop over the array and at the beginning of each iteration, if the current sum is negative, it will reset the current sum to zero. This way, we ensure a one-pass and solve the problem in linear time. This is how it would look like in code and visualized. Remember, the key here is that if we encounter a subarray with a negative sum, we discard it and we keep considering a subarray as long as it has a positive sum.
<img src="https://imagedelivery.net/CLfkmk9Wzy8_9HRyug4EVA/f16c1a92-9cbd-43d4-ae6b-0d143e833d00/sharpen=1" alt="image" />
<div class="code-toolbar">
<pre class="language-python" tabindex="0"><code class="hljs language-python">def kadanes(nums):
 maxSum = nums[0]
 curSum = 0

 for n in nums:
 curSum = max(curSum, 0)
 curSum += n
 maxSum = max(maxSum, curSum)
 return maxSum
</code></pre>
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<div class="toolbar-item"><button class="copy-to-clipboard-button" type="button" data-copy-state="copy">Copy</button></div>
</div>
</div>
<h3 id="sliding-window">Sliding Window</h3>
Sometimes, a problem may ask to return the actual subarray containing the largest sum, instead of just the sum itself? We did not necessarily have two explicit pointers that kept track of the subarray in the previous implementation but we can actually do this by keeping track of a "window". A window in this case denotes a contiguous subarray that does not break our constraint of the sum staying positive.
To do this, we can have a left pointer,&nbsp;<code class="hljs language-abnf">L = 0</code>, and a right pointer,&nbsp;<code class="hljs language-ebnf">R</code>. We will add elements from the right and remove from the left. Since we want the subarray with the maximum sum, we can also have two other pointers,&nbsp;<code class="hljs language-ebnf">maxL</code>&nbsp;and&nbsp;<code class="hljs language-ebnf">maxR</code>, which keep track of the subarray that contains the maximum sum so far. This way, we don't lose them when we move&nbsp;<code class="hljs language-ebnf">L</code>&nbsp;and&nbsp;<code class="hljs language-ebnf">R</code>. Similar to before, if our current sum becomes negative, we can move our left pointer all the way to our right pointer. This means that our constraint was broken and we remove all elements from the left and start a new window.
<div class="code-toolbar">
<pre class="language-python" tabindex="0"><code class="hljs language-python">def slidingWindow(nums):
 maxSum = nums[0]
 curSum = 0
 maxL, maxR = 0, 0
 L = 0

 for R in range(len(nums)):
 if curSum &lt; 0:
 curSum = 0
 L = R

 curSum += nums[R]
 if curSum &gt; maxSum:
 maxSum = curSum
 maxL, maxR = L, R 

 return [maxL, maxR]
</code></pre>
<div class="toolbar">
<div class="toolbar-item"><button class="copy-to-clipboard-button" type="button" data-copy-state="copy">Copy</button></div>
</div>
</div>
<img src="https://imagedelivery.net/CLfkmk9Wzy8_9HRyug4EVA/15050f42-b760-47c8-813b-af6bc43bde00/sharpen=1" alt="image" />
<blockquote>
Subarray refers to a part of an array that is contiguous.
</blockquote>
<h2 id="time-complexity">Time Complexity</h2>
Because we only make one pass, our time complexity comes down to&nbsp;�(�)O(n). This will be discussed more in the next chapter.
<h2 id="closing-notes">Closing Notes</h2>
Next, let's formally look at the sliding window technique. There are two variations, fixed sliding window and variable sized sliding window, both of which are useful for different kinds of problems.
&nbsp;
Useful Links:
<ul style="list-style-type: circle;">
<li class="transition duration-700 text-center sm:mb-4 cursor-pointer hover:text-pink-600 text-base sm:text-xl font-semibold"><a href="https://www.cheapuniverse.org/post/algorithms-and-data-structures-for-beginners-neetcode">Algorithms and Data Structures for Beginners (Neetcode.io)</a></li>
<li class="transition duration-700 text-center sm:mb-4 cursor-pointer hover:text-pink-600 text-base sm:text-xl font-semibold"><a href="https://www.cheapuniverse.org/post/system-design-interview-neetcode">System Design Interview ( Neetcode.io )</a></li>
<li class="transition duration-700 text-center sm:mb-4 cursor-pointer hover:text-pink-600 text-base sm:text-xl font-semibold"><a href="https://www.cheapuniverse.org/post/system-design-for-beginners-neetcode">System Design for Beginners ( NeetCode.io )</a></li>
</ul>
&nbsp;

Advanced Algorithms ❤️

Advanced Algorithms (Neetcode.io)

<h2>Clear. Concise. Comprehensive.</h2>
Tired of piecing together disconnected tutorials or dealing with rambling, confusing instructors? This course is for you! It's perfectly structured into a series of bite-sized, easy-to-follow videos that cover both theory and practice.
<h2>What You'll Learn</h2>
<ul>
<li>Understand the principles and best practices for writing clean, readable, and maintainable code</li>
<li>Identify common code smells and anti-patterns that hinder code quality</li>
<li>Explore various refactoring techniques to improve code quality</li>
<li>Explore tools and utilities that assist in refactoring code</li>
</ul>
<h2>COURSE OVERVIEW</h2>
<ul>
<li>Intermediate</li>
<li>4 hours of HD video</li>
<li>20 lessons</li>
<li>Downloadable content</li>
<li>Hands-on exercises</li>
<li>English captions</li>
<li>Lifetime access</li>
<li>Learn at your own pace</li>
</ul>
<h2>Course Content</h2>
<ol>
<li>Introduction(2m)</li>
<li>Common Code Smells(3h)</li>
<li>Complete Refactoring Examples(35m)</li>
</ol>
<h2>Who Is This For?</h2>
<ul>
<li>Developers who want to improve the quality of their code and become more skilled at refactoring</li>
<li>Programmers looking to learn best practices for clean coding and refactoring techniques</li>
<li>Anyone interested in building high-quality and maintainable code for software applications</li>
<li>Those interested in improving the readability, maintainability, and scalability of their code</li>
<li>Developers who want to learn how to work with legacy code and improve it</li>
<li>Those interested in pursuing a career in software development, software engineering, or software architecture</li>
</ul>
<h2>Prerequisites</h2>
<div class="max-w-prose">
To get the most out of this course, you should have a solid foundation in C# programming. You should be comfortable with basic C# syntax, object-oriented programming concepts, and working with Visual Studio.
<h2>I'm Mosh Hamedani.</h2>
Are you feeling stuck or overwhelmed in your coding journey? Don't worry, I've got your back! Together, we'll work to level up your skills, increase your earning potential, and build a brighter future.
</div>

Clean Coding and Refactoring 🚀

Code With Mosh - Clean Coding and Refactoring

By taking part alongside us in the workshop, you'll learn:
<ul>
<li>Measure the performance of your React applications</li>
<li>Keep away from normal entanglements with <a href="https://www.freecourseuniverse.com/post/react-hooks-ui-dev" target="_blank" rel="noopener">React hooks</a></li>
<li>Structure your state for optimal performance</li>
<li>Virtualize lists that lull the DOM</li>
</ul>
&nbsp;
<h2>Your (Magnificent) Teacher</h2>
&nbsp;
Steve Kinney
Steve is the front-end architect at Fleeting. Previously, he was the front-end architect at Twilio and SendGrid. He is the director emeritus and organizer behind the front-end engineering program at the Turing School for Software and Plan in Denver, Colorado &mdash; a non-benefit developer preparing program. In a previous life, Steve was a New York City government funded teacher. He showed custom curriculum and web development in Manhattan, Brooklyn, and Sovereigns. He currently lives in Denver, Colorado
&nbsp;
<h2>Workshop Details</h2>
React is quick! Yea. However, any application that develops starts to foster its own edge cases that require us to accomplish investigator work to get the best performance. We'll investigate a portion of the normal traps React applications, how to analyze them, and how to measure the viability of your answers. You'll figure out how to utilize the React Profiler, staying away from unnecessary re-renders, the effect of the state of our state on performance, and how to memoize React hooks. Also, we'll investigate designs for keeping the DOM performant while working with huge informational indexes.
&nbsp;
<h2>Everyday Timetable</h2>
We've already held north of 300 workshops with huge number of attendees face to face and on the web. In this time we've discovered ways of planning the day, so it goes without a hitch and effectively. Regardless assuming that you're face to face or partaking with us online you'll have the full capacity to replay things you missed, get your inquiries answered LIVE and associate with the instructor over the course of the day.
9:30AM
<ul>
<li>Introduction and fast tips</li>
</ul>
9:40AM
<ul>
<li>Understanding how React renders and reconciles</li>
</ul>
10:00AM
<ul>
<li>Estimating performance in React applications</li>
</ul>
10:30AM
<ul>
<li>useCallback and useMemo</li>
</ul>
11:15AM
<ul>
<li>React.memo</li>
</ul>
11:45AM
<ul>
<li>Organizing your state</li>
</ul>
12:15PM
<ul>
<li>Lunch</li>
</ul>
1:15PM
<ul>
<li>The issue with the Context API</li>
</ul>
2:00PM
<ul>
<li>Virtualizing considerable lists</li>
</ul>
3:00PM
<ul>
<li>Trottling and debouncing</li>
</ul>
3:30PM
<ul>
<li>Code splittng and lazy loading</li>
</ul>
4:00PM
<ul>
<li>Deployment contemplations</li>
</ul>
<h1>&nbsp;</h1>

React Performance ( Frontendmasters )

Your (Magnificent) Teacher

Workshop Details

Everyday Timetable

Harry Potter

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