<h1 id="user-content-obtaining-pssh">Obtaining PSSH</h1>
<h2 id="user-content-getting-started"></h2>
<h2 id="user-content-getting-started">Getting started</h2>
4 methods to find PSSH:
<ol>
<li>
The simplest one: PSSH is clearly indicated in MPD file. Download MPD file (browser add-on "MPD Detector" will give you MPD link or filtering for <code>mpd</code> in the <code>network</code> tab of devoloper tools (ctrl + shift + c)), open it with Notepad, search for pssh value.
</li>
<li>
If there is KID, but no PSSH in MPD, calculate PSSH by using KID:
</li>
</ol>
Using <a title="this" href="https://tools.axinom.com/generators/PsshBox" rel="nofollow">this</a> website you can get the PSSH by entering in the <code>urn:uuid:</code> into the <code>System ID</code> field and entering the <code>cenc:default_KID=</code> into the <code>KEY IDs</code> field without the quotes <code>""</code>
Eample:
<a title="One" href="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_one.png?raw=true" target="_blank" rel="nofollow noopener"><img title="One" src="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_one.png?raw=true" alt="One:" /></a>
<h2 id="user-content-recommended-method"></h2>
<h2 id="user-content-recommended-method">Recommended method</h2>
<ol start="3">
<li><a title="EME Logger Script" href="https://greasyfork.org/en/scripts/373903-eme-logger" rel="nofollow">EME Logger Script</a> (installed on <a title="Tampermonkey" href="https://www.tampermonkey.net/" rel="nofollow">Tampermonkey</a> add-on) will give you init data. That's your PSSH. This can be found on Developer Tools (ctrl + shift + c) &gt; Console, in the filter bar search for <code>MediaKeySession::generateRequest</code> you will find Init Data.</li>
</ol>
Optional, may be rquired:
If that Init Data is very very long, convert it to HEX: <a href="https://base64.guru/converter/decode/hex" rel="nofollow">https://base64.guru/converter/decode/hex</a>
Here's what mine looked like before conversion. <a title="Two" href="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_two.png?raw=true" target="_blank" rel="nofollow noopener"><img title="Two" src="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_two.png?raw=true" alt="Two:" /></a>
After Base64 &gt; HEX conversion, you will find a Widevine-PSSH box, this can be found easily by searching with ctrl + f and searching for <code>70737368</code>
PSSH header is always in a <code>000000xx70737368</code> where the <code>xx</code> is varied and can be from 1-9 in both x spots. You always want to copy the 6 <code>0</code>'s before the xx as well.
Example: <a title="Three" href="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_three.png?raw=true" target="_blank" rel="nofollow noopener"><img title="Three" src="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_three.png?raw=true" alt="Three:" /></a>
The end of the header is always then followed by 8 more <code>0</code>s, if you see this, you are in the right place.
Once you find the header start at the beginning 0 from the header and copy until the end of the converted hex, it should look like this
Example: <a title="Four" href="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_four.png?raw=true" target="_blank" rel="nofollow noopener"><img title="Four" src="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_four.png?raw=true" alt="Four:" /></a>
In this case the full value was <code>000000577073736800000000edef8ba979d64acea3c827dcd51d21ed0000003708011210162f7d326cf24f6dbd1319bc572bbc151a0b62757964726d6b65796f732210162f7d326cf24f6dbd1319bc572bbc152a024844</code>
convert the hex back into base64 using <a href="https://base64.guru/converter/encode/hex" rel="nofollow">https://base64.guru/converter/encode/hex</a>
Example: <a title="Five" href="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_five.png?raw=true" target="_blank" rel="nofollow noopener"><img title="Five" src="https://cdm-project.com/How-To/Obtaining-PSSH/media/branch/main/example_five.png?raw=true" alt="Five:" /></a>
In this case we got the PSSH value of <code>AAAAV3Bzc2gAAAAA7e+LqXnWSs6jyCfc1R0h7QAAADcIARIQFi99MmzyT229Exm8Vyu8FRoLYnV5ZHJta2V5b3MiEBYvfTJs8k9tvRMZvFcrvBUqAkhE</code>
Congrats, you have the PSSH!
<ol start="4">
<li>Using init files</li>
</ol>
You can use <a title="this tool" href="https://cdm-project.com/How-To/Obtaining-PSSH/src/branch/main/get_pssh_from_init.py" rel="nofollow">this tool</a> to obtain the PSSH from an init file

AlgoExpert - ProgrammingExpert 😍

Obtaining PSSH

Accelerate your Flutter and Firebase skills with this comprehensive masterclass by Codewithandrea. Learn to build real-world apps seamlessly integrating Firebase backend services for authentication, database management, and server-side code execution. From basic Firebase features to advanced topics like Cloud Functions, Stripe integration, Algolia search, and Firebase cost optimization, this course equips you with the knowledge and skills to excel in app development. Perfect for intermediate to advanced developers familiar with Dart, Flutter, GoRouter, and Riverpod
In the event that you want a backend for your Flutter app, Firebase is the clearest decision.
Firebase makes it simple to authenticate clients, compose data to a far off database, and run server-side code safely. Furthermore, you get scalability and extraordinary performance out of the crate, without burning through every last dollar.
In any case, when you begin building enormous apps, things get muddled and you might ask yourself:
&rarr; Do I have the right architecture set up? &rarr; Am I organizing my data accurately? &rarr; How might I run complex queries? &rarr; Are my security rules right? &rarr; How to deal with errors? &rarr; Will I get an enormous Firebase bill and fail?
At the end of the day - how can you say whether you're getting everything done as needs be?
Of course, you could go through incalculable hours pouring over the docs, watching instructional exercises, and advancing by experimentation to see what works. What's going on with everything I did and it was advantageous - however the excursion was long and testing. All things being equal, I need to accelerate the cycle for you by bundling up the entirety of my Firebase information and experience into this course.
Now is the right time to learn Firebase This top to bottom course will show you how to make genuine world apps with Flutter and Firebase. To begin, we'll build a straightforward full-stack app to get you moving with the nuts and bolts. This will cover Firebase Auth, Cloud Firestore, fundamental security rules, and the most recent Firebase UI bundles.
Then, we'll dive deep and build a complex eCommerce application, complete with backend reconciliation utilizing Cloud Functions and outsider incorporations like Stripe and Algolia.
En route, we'll cover points, for example, utilizing the Firebase and FlutterFire CLIs, confirmation streams, job based approval, data displaying and CRUD operations with Cloud Firestore, queries, records, pagination, offline support, image uploads with Firebase Stockpiling, working with the Firebase Local Emulator, utilizing Cloud Functions with TypeScript, working with the Firestore Admin SDK, Firebase cost analysis and optimization, and deployment through Firebase Hosting.
The main ?
You'll get all the information and abilities expected to build genuine world apps with Flutter and Firebase, and take advantage of what Firebase brings to the table. 🔥
Course Educational program Presentation (13m) 1. Firebase in nutshell (2h08m)
2. Full-Stack eCommerce app outline (48m)
3. Firebase Verification (49m)
4. Cloud Firestore and Firebase Stockpiling (1h47m)
5. Firebase Local Emulator and Cloud Functions (1h19m)
6. Job Based Approval with Custom Cases (1h07m)
7. Plunging Further with Cloud Firestore (49m)
8. Stripe Mix (1h44m)
9. Full-Text Search with Algolia (42m)
10. Finishing the eCommerce app (24m)
Who is this course for? This is an intermediate to advanced-level course about Flutter and Firebase, and you should be as of now acquainted with Dart, Flutter, GoRouter, and Riverpod to capitalize on it.
We'll begin by building a straightforward full-stack app so you'll become familiar with the nuts and bolts regardless of whether you never utilized Firebase.
Then, at that point, I'll give you a nitty gritty walkthrough of the total eCommerce app that was shrouded in the Flutter Foundations course. Furthermore, we'll transform it into a full-stack app, utilizing the Firebase Dart bundles on the frontend, and Cloud Functions with TypeScript on the backend.
While adding new highlights, I'll incorporate the majority of the UI code ahead of time so we can zero in on what makes the biggest difference: learning Firebase.
While this isn't completely required, I suggest you take the Flutter Foundations course prior to continuing to this one (you'll have the option to buy the two courses together on the checkout page assuming you wish).
<h3>About Me</h3>
 I am Andrea, I'm a Flutter GDE and I've been composing code expertly for north of 12 years. I've been a mobile app developer beginning around 2012, working for new businesses, organizations, and enormous organizations.
With my Flutter instructional exercises and courses, I've assisted a large number of understudies with turning out to be better developers.
I understand the stuff to turn into an extraordinary Flutter developer. I can hardly stand by to impart this course to you and assist you with fasting track your learning.
<h3>Related Courses:</h3>
<ul>
<li><a href="https://www.cheapuniverse.org/post/flutter-node-tutorial-build-amazon-clone-with-admin-panel" target="_blank" rel="noopener">Flutter &amp; Node Tutorial: Build Amazon Clone with Admin Panel</a></li>
<li><a href="https://www.cheapuniverse.org/post/flutterflow-crash-course-for-beginners-build-your-first-app" target="_blank" rel="noopener">Flutterflow Crash Course For Beginners. Build Your First App</a></li>
<li><a href="https://www.cheapuniverse.org/post/fireship-firebase-security-course" target="_blank" rel="noopener">FireShip - Firebase Security Course</a></li>
<li><a href="https://www.cheapuniverse.org/post/ionic-4-firebase-master-course-fireship" target="_blank" rel="noopener">Ionic 4 Firebase Master Course - Fireship</a></li>
</ul>
&nbsp;

Flutter & Firebase Masterclass 🥳

Flutter & Firebase Masterclass - Complete Package (Codewithandrea)

<h2>Courses in this path</h2>
<div class="row border-top difficulty-container active">
<div class="difficulty-header">
In this path you will learn structure and architecture of Databricks SQL, performing administrative tasks, extracting insights from data, running queries and visualizing data, monitoring and optimizing queries and connecting to SQL Server.
<div class="path-content-course-items">
<h3>1. Getting Started with Databricks SQL</h3>
<div class="course-content-about">
<div class="course-page-section">
Most data analysts use a variety of tools in order to gain an all-round understanding of their business data. In this course, Getting Started with Databricks SQL, you will learn various concepts, components, and features of Databricks SQL which allow all of this to be accomplished from a single platform. First, you will discover some of the core concepts around the storing of data in Databricks, including data lakes and lakehouses, and how Databricks SQL makes it easy to access and analyze this data. Then, you will explore into the various components of Databricks SQL, such as SQL endpoints, queries, visualizations, and dashboards, and how all of these come together to enable analysts to look at their data from many points of view and gain a big-picture view of it. Finally, you will learn how to create a table using Databricks SQL, which you will then analyze using a query and a visualization. Once you finish this course, you will recognize the true power of Databricks SQL when it comes to analyzing and gaining insights from big data.
<h3>2. Monitoring and Optimizing Queries in Databricks SQL</h3>
</div>
<div class="course-page-section">
<div class="course-page-section">
Queries lie at the heart of Databricks SQL and managing them correctly will ensure that we make the best use of this platform. In this course, Monitoring and Optimizing Queries in Databricks SQL, you will learn various aspects of query management, from basic administration to encryption, with a special emphasis on query monitoring and optimization. First, you will explore how to create a Delta table and queries which run against it. Next, you will discover how query execution times can be reduced by two different caching mechanisms supported by Databricks SQL - Delta caching and Spark caching. Finally, you will learn how we can monitor the results of query executions and trigger an alert when those results fulfill a specific condition. At the end of this course, you will be well-versed with various aspects of query management, which will help you ensure that your queries are configured correctly, that they run in an optimal manner, and that you are alerted the moment their results point to something that is off.
<h3>3. Extracting Insights from Data with Databricks SQL</h3>
<div class="course-page-section">
Most data analysts, and other big data professionals will often need to draw useful information from data which can then be used to make data-driven decisions that help their organization achieve their goals. In this course, Extracting Insights from Data with Databricks SQL, you'll learn how Databricks SQL can play a crucial role in this task, with a combination of SQL queries, visualizations and dashboards. First, you'll discover different kinds of SQL queries, from the use of simple WHERE clauses to nested queries. Next, you'll explore aggregations on data, and the different types of aggregate functions which can be used to combine records in a large dataset to generate a meaningful summary, such as aggregate sales in a certain region. Finally, you'll learn how finding patterns and identifying trends in data can be greatly simplified by visualizing data. At the end of this course, you'll have the skills necessary to make the best use of all the tools available in Databricks SQL to learn from your data, extract actionable insights, and help your organizations make the best decisions based on data.
<h3>4. Running Queries and Visualizing Data with Databricks SQL</h3>
<div class="course-page-section">
What makes Databricks SQL such a powerful tool for data analysts is that it allows data to be examined in many different ways from a single platform. In this course, Running Queries and Visualizing Data with Databricks SQL, you'll learn about SQL queries, visualizations, and dashboards to get an all-round understanding of data. First, you'll discover basic visualizations such as line charts and pie charts out of the results generated by a query execution, and cover how these can capture useful patterns hidden in the data. Next, you'll explore some of the specialized charts such as maps and word clouds which have limited use cases, but are still very powerful and keep end users engaged. Finally, you'll learn different types of SQL queries and how these tie in to visualizations and dashboards in Databricks SQL. Once you've completed this course, you'll have the practical knowledge and skills required to analyze big data in an effective and efficient manner, and make the best use of the features of Databricks SQL.
<h3>5. Connecting to SQL Server from Databricks</h3>
<div class="course-page-section">
Databricks is a versatile and powerful data platform which can help us perform a lot of processing, analysis and machine learning tasks. But it often needs to source its data from external storage systems, such as relational databases. In this course, Connecting to SQL Server from Databricks, you'll learn how the data in a SQL Server database can be accessed from a Databricks workspace. First, you'll explore provisioning a Databricks workspace in a custom virtual network. Next, you'll discover a number of connection rules to ensure that Databricks and SQL server can communicate with each other, and also enable connections to the database from a local SQL client. Finally, you'll learn how to query a table in the SQL Server database from a notebook in our Databricks workspace. Once you complete this course, you will become aware of the infrastructure set-up needed to ensure that two popular data platforms - Databricks and SQL Server - are able to communicate with one another, and can implement such a link in your own environment.
<h3>6. Performing Administrative Tasks in Databricks SQL</h3>
<div class="course-page-section">
Effective administration of any service ensures that users are able to perform their roles effectively, and without interfering with the work of others on the same platform. In this course, Performing Administrative Tasks in Databricks SQL, you will learn about assigning roles and entitlements to resources such as endpoints, queries, and dashboards to help users get the best out of this platform, all while keeping costs under control. First, you will discover how to access the Databricks SQL platform itself and how it can be regulated and have roles assigned by an administrator of a workspace, Next, you'll explore how SQL endpoints can be regulated by ensuring that only the right users have the ability to provision, configure, and use them for query executions. Finally, you'll learn how queries and dashboards can be shared with other users for both collaboration during development and for use by analysts to execute and examine query results. Once you have completed this course, you will have an all-round view of administration on the Databricks SQL platform including the types of permissions associated with different resources, and how these map to users and roles on this service.
<div class="paths-content-highlight paths-aside-box show-for-large-up">
<div class="paths-aside-scrollable">
In this path you will learn structure and architecture of Databricks SQL, performing administrative tasks, extracting insights from data, running queries and visualizing data, monitoring and optimizing queries and connecting to SQL Server.
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>

Databricks SQL ❤️‍🔥

Databricks SQL - Pluralsight

<h2>About the course</h2>
Algorithms and data structures are an essential part of the tech hiring process. In order to pass technical coding interview it&rsquo;s essential to understand the ins and out of data structures and algorithms and how to leverage them. Throughout this course, you&rsquo;ll learn the fundamentals of these topics in a fun and approachable way. After finishing this course you&rsquo;ll be well equipped to start tackling commonly asked interview questions as well as analyze your solutions&rsquo; runtime and space complexities.
<h3 class="px-2 md:px-4 pt-2 md:pt-4 mx-2 text-lg font-semibold">Course Curriculum</h3>
<ul class="m-2 md:m-4 divide-solid divide-y">
<li class="py-2">
<div class="truncate whitespace-nowrap">1.&nbsp;Welcome to Data Structures and Algorithms</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">2.&nbsp;Before We Get Started</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">3.&nbsp;What Are Algorithms &amp; Data Structures?</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">4.&nbsp;Time Complexity &amp; Space Complexity</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">5.&nbsp;Hash Tables / Hash Maps</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">6.&nbsp;Sets / HashSets</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">7.&nbsp;Linked Lists</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">8.&nbsp;Stacks &amp; Queues</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">9.&nbsp;Trees</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">10.&nbsp;Searching</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">11.&nbsp;Sorting</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">12.&nbsp;How To Get An Interview</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">13.&nbsp;During The Interview</div>
</li>
<li class="py-2">
<div class="truncate whitespace-nowrap">14.&nbsp;Where To Go From Here</div>
</li>
</ul>
<h2>About the instructor</h2>
My name is Nick White and I&rsquo;m a software engineer and content creator. After gaining a large following on YouTube from technical interview prep and entertainment content, I&rsquo;ve decided to release a course to teach those interested about the fundamentals of algorithms and data structures. I have a plethora of experience when it comes to this topic having solved hundreds of technical interview questions and having completed hundreds of technical interviews at some of the largest companies in the world. My ability to translate complicated topics into digestible bite size pieces helps immensely when first learning topics as complicated and nuanced as algorithms and data structures. I&rsquo;m proud of this course and I hope that you decide to join me in learning algorithms and data structures

DSA for Coding Interviews 😍

The Daily Byte - Data Structures and Algorithms for Coding Interviews

Make your code faster through benchmarking and optimization. Using a practical Web Sockets game demo, you'll learn to optimize memory and asynchronous JavaScript, testing and iterating throughout the course. You'll tackle garbage collection, memory profiling, data structures like sets and arrays, and event loop management. Gain advanced techniques such as employing memory pools and understanding Prime's philosophy of performance-driven programming, preparing you to write blazingly fast and efficient code!
<h2>Table of Contents</h2>
Introduction
<ul>
<li>Introduction</li>
<li>Requirements</li>
</ul>
Benchmarking &amp; Performance Monitoring
<ul>
<li>Web Sockets Game Demo</li>
<li>Running Benchmarks</li>
<li>Inspecting &amp; Debugging Performance</li>
<li>Refactoring Set to Array</li>
<li>Optimizing Code: Sets vs Array</li>
</ul>
Garbage Collection &amp; Async Code
<ul>
<li>Garbage Collector</li>
<li>Memory Profiling</li>
<li>Event Loop &amp; Promises</li>
<li>Refactoring Timer to Remove Promises</li>
<li>Analyzing Results &amp; Removing Async</li>
<li>Speeding Up Web Sockets</li>
<li>Analyzing Web Socket Results</li>
</ul>
Update &amp; Memory Optimizations
<ul>
<li>Refactoring Collision</li>
<li>Revisiting the Memory Profiler</li>
<li>Memory Pool</li>
<li>Optimizing Logging</li>
<li>Other Performance Considerations</li>
</ul>
Wrapping Up

Blazingly Fast JavaScript  😍

FrontEndMasters - Blazingly Fast JavaScript (ThePrimeagen)

Computer science legend Donald Knuth once said &ldquo;I don&rsquo;t understand things unless I try to program them.&rdquo; We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice.&nbsp;To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs.
Applied Learning Project
The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco 1000 times faster than the shortest path algorithms you learn in the standard Algorithms 101 course! Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.
<h2 class="cds-119 cds-Typography-base css-bbd009 cds-121">Advance your subject-matter expertise</h2>
<ul class="css-1g9t2fb">
<li>Learn in-demand skills from university and industry experts</li>
<li>Master a subject or tool with hands-on projects</li>
<li>Develop a deep understanding of key concepts</li>
<li>Earn a career certificate from University of California San Diego</li>
</ul>
<div class="css-1otrsh1">
<h2 class="cds-119 cds-Typography-base css-h1jogs cds-121">What you'll learn</h2>
</div>
<div>
<div role="presentation" data-track="true" data-track-app="unified_description_page" data-track-page="consumer_specialization_page" data-track-action="click" data-track-component="what_you_will_learn_section">
<div class="css-88ryvb">
<div class="rc-CML unified-CML" dir="auto">
<ul>
<li class="css-1kgqbsw" data-testid="cml-viewer">Play with 50 algorithmic puzzles on your smartphone to develop your algorithmic intuition! &nbsp;Apply algorithmic techniques (greedy algorithms, binary search, dynamic programming, etc.) and data structures (stacks, queues, trees, graphs, etc.) to solve 100 programming challenges that often appear at interviews at high-tech companies. Get an instant feedback on whether your solution is correct.</li>
<li class="css-1kgqbsw" data-testid="cml-viewer">Apply the newly learned algorithms to solve real-world challenges: navigating in a Big Network &nbsp;or assembling a genome of a deadly pathogen from millions of short substrings of its DNA.</li>
<li class="css-1kgqbsw" data-testid="cml-viewer">If you decide to venture beyond Algorithms 101, try to solve more complex programming challenges (flows in networks, linear programming, streaming algorithms, etc.) and complete an equivalent of a graduate course in algorithms!</li>
<li class="css-1kgqbsw" data-testid="cml-viewer">Learn exactly the same material as undergraduate students in &ldquo;Algorithms 101&rdquo; at top universities and more! We are excited that students from various parts of the world are now studying our online materials in the Algorithms 101 classes at their universities. Here is a quote from the website of Professor Sauleh Eetemadi from Iran University of Science and Technology: &ldquo;After examining syllabus and course material from top universities including Stanford , Princeton and MIT we have chosen to follow the Data Structures and Algorithms Specialization from UCSD...due to excellent course material and its practical approach.&rdquo;</li>
</ul>
</div>
</div>
</div>
</div>

DSA Specialization ❤️‍🔥

Data Structures and Algorithms Specialization - Coursera

<h2 class="wp-block-heading">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 class="wp-block-heading">COURSE OVERVIEW</h2>
 
<ul>
<li>Beginner to Pro</li>
 
<li>3 courses</li>
 
<li>13 hours of HD video</li>
 
<li>300 lessons</li>
 
<li>Downloadable content</li>
 
<li>Hands-on exercises</li>
 
<li>Lifetime access</li>
 
<li>Learn at your own pace</li>
</ul>
 
<h2 class="wp-block-heading">What You'll Learn</h2>
 
<ul>
<li>Master essential data structures such as arrays, linked lists, stacks, queues, and trees</li>
 
<li>Implement common algorithms including searching, sorting, and graph algorithms</li>
 
<li>Analyze and evaluate the time and space complexity of algorithms</li>
 
<li>Understand and implement various graph algorithms such as breadth-first search and depth-first search</li>
 
<li>Utilize advanced data structures such as hash tables, heaps, and tries</li>
</ul>
 
<h2 class="wp-block-heading">Courses in This Bundle</h2>
 
Whether you're a beginner or a seasoned pro, there's something for everyone in this bundle. Unlock your full potential and achieve your coding goals with ease!
 
<h3 class="wp-block-heading">Ultimate Data Structures &amp; Algorithms: Part 1</h3>
 
Ace your coding job interview. Learn to write better and faster code.
 
<h3 class="wp-block-heading">Ultimate Data Structures &amp; Algorithms: Part 2</h3>
 
Ace your coding job interview. Learn to write better and faster code.
 
<h3 class="wp-block-heading">Ultimate Data Structures &amp; Algorithms: Part 3</h3>
 
Ace your coding job interview. Learn to write better and faster code.
 
<h2 class="wp-block-heading">Who Is This For?</h2>
 
<ul>
<li>Students and professionals in computer science or related fields</li>
 
<li>Self-taught programmers looking to level up their skills</li>
 
<li>Programmers looking to write more efficient and optimized code</li>
 
<li>Those interested in competitive programming</li>
 
<li>Those seeking to build a solid foundation in programming</li>
 
<li>Experienced programmers seeking to enhance their skills</li>
</ul>
 
<h2 class="wp-block-heading">Prerequisites</h2>
 
In this course, I use Java to teach the concepts but you can apply these concepts in any programming language. Our focus is on problem-solving, not programming languages and tools.
 
All you need to take this course are some basic programming skills. If you know variables, loops, and conditional statements, you're good.
 
Here are the courses we recommend if you need to strengthen the fundamentals.
 
<h2 class="wp-block-heading">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.

The Ultimate Data Structures & Algorithms Bundle  ❤️

Code With Mosh - The Ultimate Data Structures & Algorithms Bundle

Master algorithms and data structures for technical interviews with this beginner-friendly course from Neetcode.io. Learn essential topics like arrays, linked lists, recursion, and more. Whether you're new to coding or looking to switch careers, this course equips you with the skills needed to succeed in interviews and secure higher compensation
<h1>Introduction</h1>
<h2>About</h2>
Before starting the course, let&rsquo;s go a little bit over what will be taught, who it is for and what you will need to succeed.
This course covers all of the fundamental data structures and algorithms required to succeed in technical interviews.
<h3>Who is this course for?</h3>
If you are someone who is a beginner, this course is for you. If you need a refresher, or are trying to switch careers, this course is also for you.
<h3>Content of the course</h3>
In technical interviews, you will be expected to code up an efficient algorithm, talk comfortably about the design, analysis and tradeoffs of a specific algorithm. Being able to succinctly perform these tasks in a timely fashion and communicate your ideas in a coherent manner is what can make the difference in thousands of dollars of compensation.
<h3>Topics Covered</h3>
<ol>
<li>Arrays</li>
<li>Linked Lists</li>
<li>Recursion</li>
<li>Sorting</li>
<li>Binary Search</li>
<li>Trees</li>
<li>Backtracking</li>
<li>Heap/Priority Queue</li>
<li>Hashing</li>
<li>Graphs</li>
<li>Dynamic Programming</li>
<li>Bit Manipulation</li>
</ol>
Let&rsquo;s get started when you are ready.
Useful Links:
<ol>
<li><a href="https://leetcode.com/" target="_new">LeetCode - Practice Coding Interviews</a></li>
<li><a href="https://www.cio.com/article/3268689/15-best-data-structure-and-algorithm-books.html" target="_new">Top Data Structures and Algorithms Books</a></li>
</ol>

DSA Beginners ❤️

Algorithms and Data Structures for Beginners (Neetcode.io)

Ace coding interviews with AlgoExpert's hand-picked collection of 190 coding interview questions. Access over 100 hours of video explanations covering algorithms and popular data structures. Learn and practice in a feature-rich coding workspace with solutions available in 9 different programming languages. Analyze space-time complexity, simulate real interviews with mock sessions, and earn a certificate for tech company referrals. Explore questions across categories like arrays, graphs, linked lists, and more.
&nbsp;
<h2>190 Hand-Picked Questions</h2>
Coding interview prep is a numbers game that many candidates lose. We've hand-picked 190 of the best coding interview questions to prepare you for each interview you could encounter.
Learn more.
100+ Long periods Of Video Explanations
Algorithms are difficult to learn on paper. Each of our questions is accompanied by a two-section video clarification to boost learning. That is north of 100 hours of content, all readily available.
Learn more.
Data Structures Crash Course
Data structures are the mainstays of coding interviews. Our video series gives you the central information you should be knowledgeable in every one of the famous data structures.
Learn more.
Solutions In 9 Languages
Not every person communicates in a similar programming language. Each of our solutions come in 9 unique languages: JavaScript, TypeScript, Python, Swift, Kotlin, C++, Java, C#, and Go.
Learn more.
Include Rich Coding Workspace
Coding out solutions to algorithm issues is the most effective way to practice. Our coding workspace allows you to compose your responses and run them against our experiments, here on the site.
Learn more.
Space-Time Complexity Analyses
Understanding how much memory an algorithm uses and how quick it runs is crucial to passing coding interviews. Every one of our explanations include a rigorous space-time complexity investigation.
Learn more.
4 Curated Assessments
Genuine coding interviews are timed and have various questions. We've curated 4 assessments to reflect a genuine day of coding interviews, loaded up with assortment and proper difficulty.
Mock Coding Interviews
Nothing comes even close to doing a genuine coding interview with a genuine individual. We let you really do mock coding interviews with different clients on a common workspace, here on AlgoExpert.
Recruiting Profile and Certificate
Landing technical interviews can be more enthusiastically than passing them. Once you acquire the AlgoExpert Certificate, we allude you to tech companies so you can directly begin their interview process.
Learn more.
&nbsp;
190 Questions Traversing 15 Categories.
To ace the coding interviews, being knowledgeable in all common data structures and famous critical thinking strategies is central. With 190 questions traversing 15 categories and 4 difficulty levels, we've got you covered.
Look Questions
&nbsp;
<ul>
<li>Arrays</li>
<li>Harder than they appear.</li>
</ul>
&nbsp;
<ul>
<li>Graphs</li>
<li>Simpler than they appear.</li>
</ul>
&nbsp;
<ul>
<li>Tries</li>
<li>Indeed. Tries. Not a grammatical mistake.</li>
</ul>
&nbsp;
<ul>
<li>Linked Lists</li>
<li>Turn around them.</li>
</ul>
&nbsp;
<ul>
<li>Binary Trees</li>
<li>Rearrange them.</li>
</ul>
&nbsp;
<ul>
<li>Strings</li>
<li>"This is a string."</li>
</ul>
&nbsp;
<ul>
<li>Dynamic Programming</li>
<li>Everybody can't stand it.</li>
</ul>
&nbsp;
<ul>
<li>Searching</li>
<li>Searching for the Purchase button?</li>
</ul>
&nbsp;
<ul>
<li>Sorting</li>
<li>cluster = [3, 1, 2]</li>
<li>sort(array)</li>
<li>cluster == [1, 2, 3]</li>
</ul>
&nbsp;
<ul>
<li>Greedy Algorithms</li>
<li>Not excessively greedy.</li>
</ul>
&nbsp;
<ul>
<li>Recursion</li>
<li>[[[[[[[[[[[[[[[[[[]]]]]]]]]]]]]]]]]]</li>
</ul>
&nbsp;
<ul>
<li>Famous Algorithms</li>
<li>ヽ( ͡&deg; ͜ʖ ͡&deg;)ﾉ</li>
</ul>
&nbsp;
<ul>
<li>Heaps</li>
<li>Fancy trees.</li>
</ul>
&nbsp;
<ul>
<li>Binary Search Trees</li>
<li>BS trees.</li>
</ul>
&nbsp;
<ul>
<li>Stacks</li>
<li>Our Videos Put Us Aside.</li>
</ul>
&nbsp;
In all actuality interview questions and algorithms are difficult. Significantly more difficult is attempting to grasp the inward functions of a complex algorithm from a book or from a half-baked video shot on your grandmother's camera. Our crisp 1080p videos brag crystal-clear sound and are strategically separated into two sections to give you the most comprehensive explanations to questions. That is north of 100 hours of content specifically custom-made to make interview questions and algorithms simple.
Conceptual Overview
Our videos all current beginning with an inside and out conceptual overview of the algorithm: how to approach it, how to carry out it, how to improve it, and how to break down its space-time complexity. See a model.
<h2>Code Walkthrough</h2>
Our videos all end with a complete walkthrough beginning to end of the actual code execution of the algorithm. This is finished in Python, since Python is exceptionally simple to peruse. See a model.
&nbsp;
<h2>We Communicate in 9 Languages.</h2>
There's nothing more disappointing than opening an interview prep book, just to track down a bunch of solutions in a programming language that you don't have any idea. That is the reason each of our questions come with complete composed solutions in 9 well known languages.
JavaScript, for all you Front-End Engineers
TypeScript, for all you Tense JavaScripters
Python, for all you Data Scientists
Swift, for all you iOS Specialists
Kotlin, for all you Androiders
C++, for all you Old Schoolers
Java, for all you Masochists
C#, for all you Microsofters
Go, for all you Kool Kidz
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.freecourseuniverse.com/post/algoexpert-programmingexpert-whole-bundle">AlgoExpert - ProgrammingExpert (Whole Bundle 😍)</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.freecourseuniverse.com/post/frontendexpert-react-crash-course-algoexpertio">FrontendExpert - React Crash Course ( Algoexpert.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.freecourseuniverse.com/post/algoexpertio-systemsexpert-whole-bundle">AlgoExpert.io - SystemsExpert ( Whole Bundle 🤩 )</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.freecourseuniverse.com/post/algoexpertio-frontendexpert-whole-bundle">Algoexpert.io - FrontendExpert ( Whole bundle 🔥 )</a></li>
</ul>

190 Coding Interview Questions ❤️

190 Coding Interview Questions (AlgoExpert)

A thorough program that covers the essentials of information structures and algorithms. It incorporates lectures and activities to help understudies plan and execute efficient solutions. This course is appropriate for beginners and experienced programmers and plans to get ready understudies for technical interviews and placement exams.
&nbsp;
<h2>What you will Learn</h2>
FlowChart and PseudoCode
&nbsp;
Time and Space Complexity of Recursive Algorithms
&nbsp;
Variables and DataTypes in C++
&nbsp;
Object Oriented Programming Ideas
&nbsp;
Operators, Conditionals and Loops
&nbsp;
Linked Rundown
&nbsp;
Pattern printing
&nbsp;
Stack and Queues
&nbsp;
Function and inside and out Information on stream
&nbsp;
Trees
&nbsp;
Arrays - 1D and 2D
&nbsp;
Heaps
&nbsp;
Dynamic Arrays
&nbsp;
Hashing and Tries
&nbsp;
<a href="https://www.freecourseuniverse.com/post/binary-search-for-coding-interviews-log2base2" target="_blank" rel="noopener">Searching Algorithms</a>
&nbsp;
<a href="https://www.freecourseuniverse.com/post/graph-theory-algorithms-visualized" target="_blank" rel="noopener">Graphs</a>
&nbsp;
Sorting Algorithms
&nbsp;
Greedy Algorithms
&nbsp;
Char Arrays and Strings
&nbsp;
Sliding Window Problems
&nbsp;
Essential Maths and Pointers
&nbsp;
<a href="https://www.freecourseuniverse.com/post/dynamic-programming-log2base2" target="_blank" rel="noopener">Dynamic Programming</a>
&nbsp;
Recursion and Backtracking
&nbsp;
<a href="https://www.freecourseuniverse.com/post/bitwise-for-coding-interview-log2base2" target="_blank" rel="noopener">Bit Manipulation</a>
&nbsp;
Divide and Conquer Method
Essential Subtleties
Course Starts On
22nd January, 2023
Class Timetable
LIVE [Friday, Saturday, Sunday]
Method of the Course
LIVE mode
No. Of Lectures
100+
Class Recording Gave
Indeed
Question Classes
20+ Uncertainty Meetings
Course Legitimacy
Long term
Programming Language Utilized:
C++
Class Timings:
Wednesday[9-11pm], Friday[9-11pm], Saturday[12-2pm]Sunday[12-2pm]
Course Happy
C++ and Fundamental of Programming
Arrays and Complexity
Searching and Sorting
Char Arrays and Strings
Essential Maths and Pointer
Recursion and Backtracking
Backtracking, DnC and Complexity
Uh oh Ideas
Linked Records
Stacks and Queues
Trees
Heaps
Hashing and Tries
Graphs
Dynamic Programming
Sliding Window Methods
Greedy Algorithms
Bit Manipulation
&nbsp;
<h2>Mentors</h2>
Lakshay Kumar
CS @Adobe, Educator @Code-Help
Lakshay Kumar is a pro programmer working in the job of PC Researcher at Adobe Frameworks and a famous software engineering educator on CodeHelp Youtube. He is working in the business for the past 3.5 years, dealing with various true problems. He is notable among understudies for his incredibly improved on clarifications with genuine models, empowering understudies to comprehend complex subjects without any problem. A considerable lot of his ex-understudies are presently working in top item organizations like Microsoft, Amazon, De-Shaw and so forth.
&nbsp;
Love Babbar
Organizer - Code-Help, Ex-Amazon, Ex-Microsoft
Love Babbar is a Programmer and a Youtuber, essentially known for his Coding and Computer programming abilities. He is a seriously famous figure among understudies as well as working experts on different web-based entertainment stages, his YouTube and LinkedIn profiles gathering practically 1M supporters. He's likewise guided 500k+ understudies up until this point. He has done his B.Tech (IT) from the Netaji Subhash Foundation of Innovation (NSIT), Delhi, and worked in Amazon and Microsoft.
Lakshay Kumar
CS @Adobe, Educator @Code-Help
Lakshay Kumar is a pro programmer working in the job of PC Researcher at Adobe Frameworks and a famous software engineering educator on CodeHelp Youtube. He is working in the business for the past 3.5 years, dealing with various true problems. He is notable among understudies for his incredibly improved on clarifications with genuine models, empowering understudies to comprehend complex subjects without any problem. A considerable lot of his ex-understudies are presently working in top item organizations like Microsoft, Amazon, De-Shaw and so forth.
&nbsp;
Love Babbar
Pioneer - Code-Help, Ex-Amazon, Ex-Microsoft
Love Babbar is a Computer programmer and a Youtuber, fundamentally known for his Coding and Computer programming abilities. He is a seriously famous figure among understudies as well as working experts on different virtual entertainment stages, his YouTube and LinkedIn profiles hoarding practically 1M supporters. He's additionally tutored 500k+ understudies up until this point. He has done his B.Tech (IT) from the Netaji Subhash Foundation of Innovation (NSIT), Delhi, and worked in Amazon and Microsoft.
<h2>Useful Links:</h2>
<ol>
<li>Course details and registration: <a href="https://www.codehelp.com/data-structures-and-algorithms-bootcamp" target="_new">https://www.codehelp.com/data-structures-and-algorithms-bootcamp</a></li>
<li>CodeHelp Youtube channel: <a href="https://www.youtube.com/channel/UC0zvY3yIBQTrSutsV-4yscQ" target="_new">https://www.youtube.com/channel/UC0zvY3yIBQTrSutsV-4yscQ</a></li>
<li>Love Babbar's LinkedIn profile: <a href="https://www.linkedin.com/in/love-babbar-38ab2887/" target="_new">https://www.linkedin.com/in/love-babbar-38ab2887/</a></li>
<li>Lakshay Kumar's LinkedIn profile: <a href="https://www.linkedin.com/in/lakshay-kumar-a17a29119/" target="_new">https://www.linkedin.com/in/lakshay-kumar-a17a29119/</a></li>
<li>Netaji Subhash Institute of Technology (NSIT): <a href="https://www.nsit.ac.in/" target="_new">https://www.nsit.ac.in/</a></li>
</ol>

DSA@Supreme Batch (Love Babbar) 🔥

Data Structures & Algorithms BootCamp @Supreme Batch (Love Babbar)

<div class="flex flex-grow flex-col gap-3">
<div class="min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap">
<div class="markdown prose w-full break-words dark:prose-invert light">
Mastering Algorithms in C - Learn to write efficient algorithms
<h2>Introduction:</h2>
Algorithms and data structures are the core building blocks of computer science. They form the backbone of every software application and website we use today. Knowing how to write efficient algorithms and analyze their time and space complexity is crucial to be successful in the field of computer science. In this course, we will teach you how to write efficient algorithms in C and analyze their time and space complexity.
<h2>What will you learn?</h2>
<ul>
<li>Understand the importance of algorithms and data structures in computer science</li>
<li>Learn how to write efficient algorithms in C</li>
<li>Analyze the time and space complexity of algorithms</li>
<li>Learn searching algorithms such as linear and binary search</li>
<li>Learn about hashing and collision avoidance techniques</li>
<li>Learn sorting algorithms such as selection, bubble, and insertion sort</li>
<li>Learn divide and conquer strategy and optimization problems</li>
<li>Learn dynamic programming, greedy algorithms, and graph traversal techniques</li>
</ul>
<h2>Requirements:</h2>
<ul>
<li>Basic knowledge of <a href="https://www.freecourseuniverse.com/post/c-programming-log2base2" target="_blank" rel="noopener">C programming language</a></li>
<li>Basic understanding of <a href="https://www.freecourseuniverse.com/post/data-structures-in-c-log2base2" target="_blank" rel="noopener">data structures</a></li>
</ul>
<h2>What's in this course?</h2>
The course covers the following topics:
<ul>
<li>Introduction to algorithms and data structures</li>
<li>Searching algorithms such as linear and binary search</li>
<li>Hashing and collision avoidance techniques</li>
<li>Sorting algorithms such as selection, bubble, and insertion sort</li>
<li>Divide and conquer strategy and optimization problems</li>
<li>Dynamic programming, greedy algorithms, and graph traversal techniques</li>
</ul>
<h2>Who this course is for:</h2>
<ul>
<li>Students who want to learn efficient algorithm writing techniques</li>
<li>Programmers who want to improve their problem-solving skills</li>
<li>Anyone who is interested in computer science and wants to learn about algorithms and data structures</li>
</ul>
<h2>Instructors:</h2>
Our instructors are experienced professionals in the field of computer science. They have years of experience in teaching and working on various projects that involve algorithm writing and data structures.
<h2>Conclusion:</h2>
Mastering algorithms in C is an essential course for anyone interested in computer science. It covers a wide range of topics related to algorithm writing and data structures, and the instructors are experienced professionals in the field. By the end of this course, you will have a good understanding of how to write efficient algorithms in C and analyze their time and space complexity.
Reviews: "This course is excellent for anyone who wants to learn efficient algorithm writing techniques. The instructors are knowledgeable and provide clear explanations of the topics covered in the course." - John D.
"I was struggling with writing efficient algorithms, but this course helped me a lot. The instructors are patient and provide detailed explanations of the concepts covered in the course." - Sarah L.
External links:
<ul>
<li>GeeksforGeeks: <a href="https://www.geeksforgeeks.org/" target="_new">https://www.geeksforgeeks.org/</a></li>
<li>Stack Overflow: <a href="https://stackoverflow.com/" target="_new">https://stackoverflow.com/</a></li>
<li>Cplusplus: <a href="https://www.cplusplus.com/" target="_new">https://www.cplusplus.com/</a></li>
</ul>
</div>
</div>
</div>

Log2Base 2

Algorithms in C ( Log2Base2 )

Master the Coding Interview

Master the Coding Interview: Data Structures + Algorithms ( ZTM )

Data Structures and Calculation is one of the main topics for your placement and interview arrangement. Here is a complete guide to cover every one of the Data Structure Calculation topics and make you comfortable with the<a href="https://freecourseuniverse.tech/free-courses/coding-ninjas-data-structures-and-algorithms/" target="_blank" rel="noopener"> main Algorithms in Data Structure</a> for your meetings. You can practice the company-specific Data Structure Calculation questions and give your career a push.
&nbsp;
<h2>Key Points</h2>
<ul>
<li>Get Certificate of completion</li>
<li>Normal opportunity to complete 120 days</li>
<li>Pre-imperatives: Basics of programming like functions, conditionals, loops in C++, Java or Python</li>
</ul>
&nbsp;
Module 1
Complexity Analysis
2 Notes and 15 Problems
&nbsp;
Module 2
Arrays
6 Notes and 25 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Facebook</li>
<li>Microsoft</li>
</ul>
&nbsp;
Module 3
Strings
1 Note and 15 Problems
Asked in
<ul>
<li>Microsoft</li>
<li>Google</li>
<li>HSBC</li>
</ul>
&nbsp;
Module 4
Basic Algorithms
2 Notes and 20 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Google</li>
</ul>
&nbsp;
Module 5
Multidimensional Arrays
1 Note and 18 Problems
Asked in
<ul>
<li>Apple</li>
<li>Ola</li>
<li>Oracle</li>
</ul>
&nbsp;
Module 6
Recursion and Backtracking
3 Notes and 20 Problems
Asked in
<ul>
<li>Facebook</li>
<li>Microsoft</li>
<li>Amazon</li>
</ul>
&nbsp;
Module 7
Sorting
7 Notes and 7 Problems
Asked in
<ul>
<li>Ola</li>
<li>Paytm (One97 Communications Restricted)</li>
<li>Visa</li>
</ul>
&nbsp;
Module 8
Binary Search
1 Note and 21 Problems
Asked in
<ul>
<li>Google</li>
<li>Ola</li>
<li>Amazon</li>
</ul>
&nbsp;
Module 9
Linked Lists
3 Notes and 30 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Adobe</li>
</ul>
&nbsp;
Module 10
Stacks and Queues
2 Notes and 18 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Facebook</li>
</ul>
&nbsp;
Module 11
Trees
4 Notes and 31 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Adobe</li>
</ul>
&nbsp;
Module 12
Binary Search Trees
2 Notes and 28 Problems
Asked in
DE Shaw India
Google
Adobe
&nbsp;
Module 13
Priority Queues and Heaps
1 Note and 19 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Facebook</li>
</ul>
&nbsp;
Module 14
Graphs
5 Notes and 26 Problems
Asked in
<ul>
<li>Samsung</li>
<li>Amazon</li>
<li>Microsoft</li>
</ul>
&nbsp;
Module 15
<a href="https://www.freecourseuniverse.com/post/dynamic-programming-algorithms-master-course-2022" target="_blank" rel="noopener">Dynamic Programming</a>
1 Note and 43 Problems
Asked in
<ul>
<li>Microsoft</li>
<li>Amazon</li>
<li>Google</li>
</ul>
&nbsp;
Module 16
Tries
1 Note and 8 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Microsoft</li>
<li>Snapdeal</li>
</ul>
&nbsp;
Module 17
Bit Manipulation
1 Note and 21 Problems
Asked in
<ul>
<li>Codenation</li>
<li>Google</li>
<li>IBM</li>
</ul>
&nbsp;
Module 18
Greedy
1 Note and 15 Problems
Asked in
<ul>
<li>Codenation</li>
<li>Adobe</li>
<li>Google</li>
</ul>
&nbsp;
Module 19
Miscellaneous Topics
6 Notes and 11 Problems
Asked in
<ul>
<li>Amazon</li>
<li>Ola</li>
<li>Flipkart</li>
</ul>

Advanced Data Structures 😃

Data Structures and Algorithms ( Coding Ninjas )

This is the course to pick if you are just getting into coding and want to build a strong foundation. Widely used in IT industry.
&nbsp;
This is where you embark on an amazing journey!
Get doubts resolved in 30 mins
1:1 sessions over voice call &amp; chat with our
skilled teaching assistants
&nbsp;
&nbsp;
Features that keep you going
A structured curriculum that makes learning easy
Weekly milestones to keep you motivated
Practice code problems of varying difficulty
Compile &amp; run in an integrated coding environment
&nbsp;
&nbsp;
Industry leading mentors to help you grow
1:1 Mock interviews with resume and career guidance
Structured feedback to make you better
Get a chance to be referred to your mentors&rsquo; company
&nbsp;
Most flexible program in the industry
Freedom to learn
Watch classes any time at your convenience
Cheat days
Catch up on the course when life is calling you elsewhere
&nbsp;
&nbsp;
Comprehensive placement package to make you job ready
Get access to an expert placement coach,
professional resume &amp; portfolio services, and Hirist
spotlight benefits, with close focus on soft skills
&nbsp;
&nbsp;
The results
11 LPA
Average CTC
40x
Return on investment
95%
students bag dream tech jobs
Download our placement report
This can be your success story!
What are you waiting for? Start your journey towards your dream job today.
&nbsp;
Course curriculum for the curious
Combo
Premium
Data Structures and Algorithms
15 hrs
Introduction to Programming
Basics of Programming
FLOWCHARTS
Introduction to flowcharts, Decision making using flowcharts, Loops, Example problems
VARIABLES AND DATA TYPES
First program, Variables and data types, Taking input, How data is stored in memory, Arithmetic Operators
CONDITIONAL STATEMENTS
Introduction to If else, Relational and logical operators, Nested conditionals
Loops and Functions
WHILE LOOPS
While loops, Flow of execution of statements in while loop, Example problems using while loop
PATTERNS
Introduction to patterns, Basic Patterns, Square Patterns, Triangular Patterns, Character Patterns, Reverse Triangle, Inverted patterns, Isosceles triangles
FOR LOOPS
For loops, Break and Continue, increment - decrement operators
FUNCTIONS
Introduction to functions, Working of function calling, Variables and its scope, Pass by value
Arrays
INTRODUCTION TO ARRAYS
Introduction to arrays, How arrays are stored in memory, Passing arrays to functions
SEARCHING AND SORTING
Understanding Binary Search, Selection sort, Bubble sort, Insertion sort, Merging two sorted arrays
Strings and 2D Arrays
STRINGS
Introduction to strings, storage of strings and their inbuilt functions
2D ARRAYS
2D arrays, Storage of 2D arrays, Example problems using 2D Arrays
45 hrs
Data Structures &amp; Algorithms
Problem Solving Techniques
RECURSION
Introduction to recursion, Principle of mathematical induction, Fibonacci numbers, Recursion using arrays, Recursion using strings, Recursion using 2D arrays
TIME AND SPACE COMPLEXITY
Order complexity analysis, Theoretical complexity analysis, Time complexity analysis of searching and recursive algorithms, Theoretical space complexity, Space complexity analysis of merge sort
Object Oriented Programming
BASICS OF OOPS
Introduction to OOPS, Creating objects, Getters and setters, Constructors and related concepts, Inbuilt constructor and destructor, Example classes
ADVANCE CONCEPTS OF OOPS
Static members, Function overloading and related concepts, Abstraction, Encapsulation, Inheritance, Polymorphism, Virtual functions, Abstract classes, Exception handling
Linear Data Structures
LINKED LISTS
Introduction to linked list, Inserting node in linked list, Deleting node from linked list, Midpoint of linked list, Merge two sorted linked lists, merge sort of a linked list, Reversing a linked list
STACKS AND QUEUES
Introduction to stacks, Stack using arrays, Dynamic Stack class,Stack using linked list, Inbuilt stack, Queue using arrays, Dynamic queue class, Queue using linked list, Inbuilt queue
Trees
GENERIC TREES
Introduction to Trees, Making a tree node class, Taking a tree as input and printing, Tree traversals, Destructor for tree node class
BINARY TREES
Introduction to Binary Trees, Taking a binary tree as input and printing, Binary Tree traversals, Diameter of binary tree
BINARY SEARCH TREES
Introduction to Binary Search Trees, Searching a node in BST, BST class, Inserting and Deleting nodes in BST, Types of balanced BSTs
Advanced Data Structures
PRIORITY QUEUES
Introduction to Priority Queues, Ways to implement priority queues, Introduction to heaps, Introduction to Complete Binary Trees and its implementation, Insert and Delete operations in heaps, Implementing priority queues, Heap sort, Inbuilt Priority Queue
HASHMAPS
Introduction to Hashmaps, Inbuilt Hashmap, Hash functions, Collision handling, Insert and Delete operation implementation in hashmap, Load factor, Rehashing
TRIES
Introduction to Tries, Making a Trie Node class, Insert, Search and Remove operation implementation in Tries, Types of Tries, Huffman Coding
GRAPHS
Introduction to Graphs, Graph Terminology, Graph implementation, Graph Traversals (DFS and BFS), Weighted and Directed Graphs, Minimum Spanning Trees, Cycle Detection in Graphs, Kruskal's algorithm, Prim's Algorithm, Dijkstra's algorithm
Dynamic Programming
INTRODUCTION TO DYNAMIC PROGRAMMING
ntroduction to Memoization, Introduction to Dynamic Programming, Fibonacci numbers using recursion, memoization and dynamic programming
APPLICATIONS OF DYNAMIC PROGRAMMING
Longest Common Subsequence (LCS) using recursion, memoization and dynamic programming, Edit distance using recursion, memoization and dynamic programming, Knapsack problem using recursion, memoization and dynamic programming

Coding Ninjas - Java &  DSA 😃

Coding Ninjas | Premium - Basic Java with Data Structures and Algorithms

Why solve 2800 problems when you can master 26 problem-solving patterns to crack any coding interview? Learn the underlying patterns behind 77 handpicked coding interview questions, and in the process, learn the game-changing skill of unpacking and answering thousands of LeetCode style questions the right way just by assessing the problem statement. This approach was created by MAANG hiring managers to help you prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Netflix, and Amazon. If you&rsquo;re pressed for time, this distilled set of coding interview questions ensures coverage of all the essential coding patterns to give you the confidence needed to ace your interview. Each module in the path presents a set of related coding patterns, to help you prepare in a focused, methodical manner. This path is also available in JavaScript, C++, Python, and Go, with more coming soon!
<h3>Learning Objectives</h3>
Master 26 problem-solving patterns to crack any coding interview! A hands-on, setup-free coding environment to brush up your skills by solving 77 handpicked problems Develop a flexible conceptual framework for solving any question, by connecting problem characteristics, solution techniques, and coding design patterns The ability to identify the underlying patterns of 2800+ LeetCode style coding questions by assessing the problem statement (and learn the tricks required to solve it) The ability to efficiently evaluate the tradeoffs between time and space complexity in different solutions Path Content Module 1 - Two Pointers &amp; Co.
Learn and practice the Two Pointers, Fast and Slow Pointers, and Modified Binary Search patterns to solve coding interview problems.
Module 2 - Basic Data Structures
Learn and practice the In-place Reversal of a Linked List, Stacks, and Matrices patterns to solve coding interview problems.
Module 3 - Trees
Learn and practice the Tree Depth-First Search and Tree Breadth-First Search patterns to solve coding interview problems.
Module 4 - Hashing and Tracking
Learn and practice the Hash Maps and Knowing What to Track patterns to solve coding interview problems.
Module 5 - Heaps
Learn and practice the Top K Elements and Two Heaps patterns to solve coding interview problems.
Module 6 - Fusion
Learn and practice the Merge Intervals and K-way Merge patterns to solve coding interview problems.
Module 7 - Go With the Flow
Learn and practice the Backtracking and Subsets patterns to solve coding interview problems.
Module 8 - Optimization Techniques
Learn and practice the Greedy Techniques and Dynamic Programming patterns to solve coding interview problems.
Module 9 - Advanced Data Structures
Learn and practice the Graphs, Tries, and Custom Data Structures patterns to solve coding interview problems.
Module 10 - Advanced Sorting Techniques
Learn and practice the Cyclic Sort and Topological Sort patterns to solve coding interview problems.
Module 11 - Elegant by Design
Learn and practice the Bitwise Manipulation, Sliding Window, and Union Find patterns to solve coding interview problems.

77 in Java ❤️‍🔥

Educative-77 in Java: Accelerate Your Coding Interview Prep

Java is one of the top five programming languages and here is here to stay. Java is used enterprise applications, backend services, websites, embedded controllers, and Android app development. Java is the mother of languages such as python, golang, javascript and many. This means that once you master Java the rest of languages will be easy to grasp. Knowing how to use Java will give you so many job opportunities as it widely used today. In this course Nelson will teach the essential skills and language concepts that you need to know to start building real applications So what are you waiting for? Let's go

Java Essentials 😍

Amigoscode - Java Essentials

<h2>Courses in this path</h2>
<div class="row border-top difficulty-container active">
<div class="difficulty-header">
<div class="row border-top difficulty-container">
<div class="difficulty-header">
<h3>Beginner</h3>
These introductory Scala courses will teach you the basics of how to effectively work with the Scala language. Get started by setting up the development environment and discovering the overall capabilities of the Scala language.
<div class="path-content-course-items">- Scala Language: The Big Picture</div>
<div class="path-content-course-items">- Scala 2 Language: Getting Started</div>
<h3 class="path-content-course-items">Intermediate</h3>
Continue learning the Scala language in this section that will take the fundamentals of Scala and expand to writing methods, functions, and creating collections using Scala.
<div class="path-content-course-items">- Scala 2 Methods and Functions</div>
<div class="path-content-course-items">- Scala Collections</div>
<div class="path-content-course-items">- Scala 2 Classes and Objects</div>
<div class="path-content-course-items">- Scala 1 Build Tool: Getting Started</div>
<h3 class="path-content-course-items">Advanced</h3>
For the learner that has a grasp on the Scala language and looking to learn the finer points of asynchronous programming, type classes, and unit testing for Scala. By the end of this section, you will be prepared to create robust Scala applications.
<div class="path-content-course-items">- Scala Asynchronous Programming</div>
<div class="path-content-course-items">- Unit Testing in Scala 3</div>
<div class="path-content-course-items">- Scala Type Classes and Parameterization</div>
<div class="path-content-course-items">- Scala Design Patterns</div>
<div class="path-content-course-items">
<h3>Learn about:</h3>
The capabilities of the Scala Language
Preparing the Scala Development Environment
Data types and variables in Scala
Writing and using statements, control structures, methods, functions, objects, and classes in Scala
Using the Scala Build Tool (SBT) to compile Scala applications
Unit testing
Asynchronous programming
and other important methodologies to prepare the learner in using the Scala language to its full capabilities
<h3>Experience</h3>
Intermediate knowledge of a procedural programming language such as Java, C#, or C
</div>
</div>
</div>
</div>
</div>

Scala Language Fundamentals - Pluralsight

Courses in this path

Beginner

Intermediate

Advanced

Learn about:

Experience

Jack Sparrow

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