<h1>How to Download</h1>
&nbsp;
<section>
<h2>Knowledge ++ FreeCourseUniverse.com 🤠</h2>
<h2>Password: FreeCourseUniverse or CheapUniverse</h2>
<h3>Follow the below steps&nbsp; 👇 carefully, otherwise u wont be able to get ( This guide is only for encrypted links )</h3>
Step 0: Contribute for this forum &amp; get Download Link&nbsp;
Step 1: Visit this Download link select your account &amp; Authorize</section>
<section> Step 2: close the tab (keep open the same browser) &amp; again open same link</section>
<section> Step 3: Now Select your logged in account</section>
<section> Step 4: Copy, U will get it on ur drive If u get any decryption server error click on load button multiple times and try refreshing page
<h3>If links are not working ping us in comment section</h3>
 <img src="https://i.imgur.com/ZgTZnTD.png" alt="Image" width="821" height="221" />
<h3>If still not clear follow each step from the video without using ur brain...</h3>
 <video style="width: 814px; height: 407px;" controls="controls" width="814" height="407"><source src="https://media.graphassets.com/Q9xL7mdWRBObaasOIwzw" /></video></section>

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This comprehensive course series is perfect for individuals with programming knowledge such as software developers, data scientists, and researchers. You'll acquire critical MLOps skills, including the use of Python and Rust, utilizing GitHub Copilot to enhance productivity, and leveraging platforms like Amazon SageMaker, Azure ML, and MLflow. You'll also learn how to fine-tune Large Language Models (LLMs) using Hugging Face and understand the deployment of sustainable and efficient binary embedded models in the ONNX format, setting you up for success in the ever-evolving field of MLOps
Through this series, you will begin to learn skills for various career paths:
1. Data Science - Analyze and interpret complex data sets, develop ML models, implement data management, and drive data-driven decision making.
2. Machine Learning Engineering - Design, build, and deploy ML models and systems to solve real-world problems.
3. Cloud ML Solutions Architect - Leverage cloud platforms like AWS and Azure to architect and manage ML solutions in a scalable, cost-effective manner.
4. Artificial Intelligence (AI) Product Management - Bridge the gap between business, engineering, and data science teams to deliver impactful AI/ML products.
Applied Learning Project
Explore and practice your MLOps skills with hands-on practice exercises and Github repositories.
1. Building a Python script to automate data preprocessing and feature extraction for machine learning models.
2. Developing a real-world ML/AI solution using AI pair programming and GitHub Copilot, showcasing your ability to collaborate with AI.
4. Creating web applications and command-line tools for ML model interaction using Gradio, Hugging Face, and the Click framework.
3. Implementing GPU-accelerated ML tasks using Rust for improved performance and efficiency.
4. Training, optimizing, and deploying ML models on Amazon SageMaker and Azure ML for cloud-based MLOps.
5. Designing a full MLOps pipeline with MLflow, managing projects, models, and tracking system features.
6. Fine-tuning and deploying Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face. Creating interactive demos to effectively showcase your work and advancements.
<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 Duke University</li>
</ul>
<h2>What you'll learn</h2>
<ul>
<li>Master Python fundamentals, MLOps principles, and data management to build and deploy ML models in production environments.</li>
<li>Utilize Amazon Sagemaker / AWS, Azure, MLflow, and Hugging Face for end-to-end ML solutions, pipeline creation, and API development.</li>
<li>Fine-tune and deploy Large Language Models (LLMs) and containerized models using the ONNX format with Hugging Face.</li>
<li>Design a full MLOps pipeline with MLflow, managing projects, models, and tracking system features.</li>
</ul>

Machine Learning Operations ❤️‍🔥

Coursera - MLOps | Machine Learning Operations Specialization

Fast and Furious Game Development with JavaScript and AI

Unreal Engine 5 Blueprints: Develop Your First Two Games

Build a Tower Defence Game with Unity and Blender

Ansible for the Absolute Beginner - Hands-On - DevOps

ChatGPT and LangChain: The Complete Developer's Masterclass

Let's Build Startup for Remote Drone Operations, 4G & Video

Create Online Multiplayer Game in Unity (Netcode,Relay,Lobby)

Complete Terraform Course - Beginner to Advanced

Acquire the vocation building abilities you really want to effectively foster software, fight data, perform progressed data analysis, and become a Python programmer. No earlier coding experience is required; you can begin your excursion to turning into a Python programmer today! In this track, you'll figure out how to control data, compose efficient Python code, and work with testing data, including date and time data, text data, and web data utilizing APIs. As your abilities develop, you'll advance to composing Python functions and unit testing &mdash; a fundamental expertise expected to find bugs in your code before your clients do! Through intuitive activities, you'll likewise acquire experience working with strong Python libraries, including NumPy, pytest, and pycodestyle, that will assist you with performing key programmer undertakings like web development, data analysis, and assignment robotization. When you finish this track, you'll have a solid handle of what's expected to turn into a Python programmer and have the right stuff to get everything rolling as one.
&nbsp;
<h2>Itro to Python</h2>
Ace the nuts and bolts of data analysis with Python in only four hours. This internet based course will present the Python interface and investigate famous packages.
4 hours
Hugo Bowne-Anderson
Data Researcher at DataCamp
2
&nbsp;
Middle Python
Step up your data science abilities by making representations utilizing Matplotlib and controlling DataFrames with pandas.
4 hours
Hugo Bowne-Anderson
Data Researcher at DataCamp
3
&nbsp;
Data Manipulation with pandas
Figure out how to import and clean data, work out measurements, and make perceptions with pandas.
4 hours
Richie Cotton
Data Evangelist at DataCamp
4
&nbsp;
Python Data Science Tool compartment (Section 1)
Get familiar with the specialty of composing your own functions in Python, as well as key ideas like scoping and error handling.
3 hours
Hugo Bowne-Anderson
Data Researcher at DataCamp
5
&nbsp;
Python Data Science Tool compartment (Section 2)
Keep on building your cutting edge Data Science abilities by finding out about iterators and list comprehensions.
4 hours
Hugo Bowne-Anderson
Data Researcher at DataCamp
&nbsp;
Data Types for Data Science in Python
Merge and expand your insight into Python data types like lists, dictionaries, and tuples, utilizing them to take care of Data Science issues.
4 hours
Jason Myers
Co-Creator of Fundamental SQLAlchemy and Software Specialist
7
&nbsp;
Composing Efficient Python Code
Figure out how to compose efficient code that executes rapidly and designates resources ably to stay away from pointless above.
4 hours
Logan Thomas
Logical Software Specialized Coach, Enthought
8
&nbsp;
Working with Dates and Times in Python
Figure out how to function with dates and times in Python.
4 hours
DataCamp Content Maker
Course Educator
9
&nbsp;
Regular Expressions in Python
Find out about string manipulation and become a pro at utilizing regular expressions.
4 hours
Maria Eugenia Inzaugarat
Data Researcher and Man-made reasoning Advisor
10
&nbsp;
Web Scraping in Python
Figure out how to recover and parse data from the web utilizing the Python library scrapy.
4 hours
Thomas Laetsch
Data Researcher at New York College
11
&nbsp;
Composing Functions in Python
Figure out how to utilize best practices to compose viable, reusable, complex functions with great documentation.
4 hours
Shayne Miel
Head of Software Engineering @ American Efficient
12
&nbsp;
Data Designs and Calculations in Python
Investigate data designs, for example, connected lists, stacks, lines, hash tables, and charts; and search and sort calculations!
4 hours
Miriam Antona
Software Specialist
13
&nbsp;
Prologue to Shell
The Unix order line assists clients with consolidating existing projects in new ways, mechanize redundant errands, and run programs on groups and mists.
4 hours
DataCamp Content Maker
Course Teacher
14
&nbsp;
Prologue to Git
Really get to know Git for adaptation control. Investigate how to follow, look at, adjust, and return documents, as well as team up with partners utilizing Git.
4 hours
George Boorman
Educational plan Chief, DataCamp
15
&nbsp;
Software Engineering Principles in Python
Find out about particularity, documentation, and robotized testing to assist you with taking care of data science issues all the more rapidly and dependably.
4 hours
Adam Spannbauer
AI Architect at Eastman
16
&nbsp;
Creating Python Packages
Figure out how to make your own Python packages to make your code more straightforward to utilize and impart to other people.
4 hours
James Fulton
Environment Informatics Specialist
17
&nbsp;
Unit Testing for Data Science in Python
Figure out how to compose unit tests for your Data Science projects in Python utilizing pytest.
4 hours
Dibya Chakravorty
Senior Python Designer, TECH-5
18
&nbsp;
Object-Oriented Programming in Python
Make a plunge and figure out how to make classes and influence legacy and polymorphism to reuse and enhance code.
4 hours
Alex Yarosh
Educational program Designer @ Cockroach Labs
Useful Links:
<ol>
<li><a href="https://www.python.org/" target="_new">Python Official Website</a></li>
<li><a href="https://matplotlib.org/stable/contents.html" target="_new">Matplotlib Documentation</a></li>
<li><a href="https://pandas.pydata.org/pandas-docs/stable/index.html" target="_new">pandas Documentation</a></li>
<li><a href="https://docs.pytest.org/en/latest/" target="_new">pytest Documentation</a></li>
<li><a href="https://git-scm.com/" target="_new">Git Official Website</a></li>
<li><a href="https://realpython.com/tutorials/testing/" target="_new">Unit Testing in Python with pytest</a></li>
<li><a href="https://docs.python.org/3/tutorial/classes.html" target="_new">Object-Oriented Programming in Python</a></li>
</ol>

Python Programmer ( Datacamp ) ❤️

Python Programmer ( Datacamp )

In our rapidly advancing digital era, the need for computer science professionals has reached unprecedented heights. Businesses across diverse sectors increasingly rely on technology to fuel innovation, making expertise in computers, logical reasoning, problem-solving, and programming skills more crucial than ever. Possessing such skills positions you at the forefront of this demand, unlocking many rewarding career opportunities. This Skill Path is meticulously crafted to provide a comprehensive introduction to computer science, catering especially to those without a background in the discipline. Starting with the fundamentals of problem-solving and logical thinking in computing, this Skill Path will guide you through coding using data structures, database design and management, web application development, and professional adaptation to various software development models. Upon completing this Skill Path, you will have established a robust foundation to seamlessly transition into the software industry.
<h3>Learning Objectives</h3>
<ul>
<li>The ability to think logically, analyze, design, and implement algorithms to solve computational problems.</li>
<li>An understanding of concepts such as computer architecture, operating systems, networks, and number-based systems.</li>
<li>A working knowledge of data modeling and design using SQL and NoSQL databases like MySQL and MongoDB, respectively.</li>
<li>Familiarity with software development methodologies from the traditional Waterfall model to Agile practices.</li>
<li>Hands-on programming skills in writing efficient, readable, and reusable code leveraging object-oriented principles.</li>
<li>Familiarity with renowned data structures like lists, arrays, stacks, queues, linked lists, trees, and graphs.</li>
<li>An understanding of web architecture and hands-on skills in frontend, backend, and full stack web development using the MERN stack.</li>
<li>The ability to think ethically and critically in the context of computing.</li>
</ul>
<h3>Path Content</h3>
Module 1 - Learn Problem-Solving with P&oacute;lya
Explore different problem-solving strategies that are essential for personal growth, academic success, and sustained professional achievement.
Module 2 - Computing Basics
Learn and explore computer basics, its history, hardware, software, number systems, and the anatomy of a computer.
Module 3 - Logical Thinking
Learn to create logically valid arguments and avoid logical fallacies in everyday life.
Module 4 - Introduction to Programming in Python
Explore Python&rsquo;s basics, including concepts like variables, data types, conditionals, loops, functions, data structures, and built-in libraries.
Module 5 - Object-Oriented Programming in Python
Explore object-oriented programming (OOP) in Python, including classes, objects, encapsulation, inheritance, polymorphism, and object relationships.
Module 6 - Sets Unleashed: A Comprehensive Foundation
Explore sets, relations, and functions with practical applications in various contexts to foster a deep understanding and organization of data.
Module 7 - Basic Counting Principles in Computing
Learn the basic principles of counting with some interesting applications of counting problems.
Module 8 - Fundamental Algorithms in Python
Build a strong foundation in algorithmic concepts, covering algorithms, asymptotic analysis, sorting, searching, and divide and conquer techniques.
Module 9 - Data Structures in Python
Master essential data structures and algorithms: linked lists, stacks, queues, graphs, trees, heaps, and hashing.
Module 10 - Data Modeling and Design
Explore databases from file-based systems to modern DBMS, covering data modeling, functional dependencies, and normalization for data integrity.
Module 11 - Relational Databases and SQL
Uncover the essentials of MySQL server, including its setup, SQL commands, data manipulation, and advanced topics like joins and subqueries.
Module 12 - Working with NoSQL Using MongoDB
Design efficient models and handle complex data using a NoSQL database&mdash;MongoDB, including its fundamentals, CRUD operations, performance optimization, and more.
Module 13 - Software Architecture in Applications
To advance in the ever-growing tech industry, let&rsquo;s understand software and web architecture.
Module 14 - Web Development with HTML
Master web development essentials with HTML, CSS, and JavaScript, including basics, formatting, interactivity, multimedia integration, and form validation.
Module 15 - Front-End Development with JavaScript
Explore JavaScript objects, functions, function prototypes, closures, modularity, error handling, DOM manipulation, and CSS for styling.
Module 16 - Putting It Altogether! A Taste of MERN
Gain skills in server-side development, user authentication, client-side setup, business logic, and CRUD operations to create MERN stack applications.
Module 17 - Software Development Lifecycle Models
Explore renowned SDLC methods, including Waterfall and Agile models in software development to design, develop, and maintain high-quality software.
Module 18 - Software Quality Assurance and Configuration Management
Explore testing, including test automation and design, deployment, maintenance, and Git for version control.
Module 19 - Object-Oriented Analysis and Design
Discover object-oriented principles, design patterns, and problem-solving by designing real-world complex systems.
Module 20 - Web Scraping Using Selenium in Python
Learn to use Python&rsquo;s Selenium library to scrape data from the web.
Module 21 - Build a Personal Portfolio Using React
Learn how to build a portfolio website in React.
Module 22 - Create a Wordle Clone
Learn how to create a wordle game in a browser.
Module 23 - Build an E-Learning Website with the MERN Stack
Learn how to create an e-learning course catalog using the MERN stack.
Module 24 - Build a Web Assistant with OpenAI GPT-3
Learn how to integrate an OpenAI chatbot in an Express application.
Module 25 - Integrate Google Search Engine API with the Express Application
Learn how to create a website with built-in search functionality using the Express framework.
Module 26 - Designing a Restaurant Management System Using the MERN Stack
Learn to use the MERN (MySQL, Express, React, Node.js) stack to build a restaurant management system.
Module 27 - Introduction to Computing Professionalism
Let&rsquo;s prepare for a career in computing by equipping the necessary knowledge and abilities for ethical decision-making.
&nbsp;

Computer Science Bootcamp 🥳

Educative - Computer Science Bootcamp [Skill Path]

Learn C++ Data Structures and Algorithms with animated examples and solve coding exercises after each coding video. This course covers over 100 hand-crafted animated HD videos, including Big O notation, Data Structures (Arrays, Vectors, Linked Lists, Doubly Linked Lists, Stacks &amp; Queues, Binary Trees, Hash Tables, Graphs), and Algorithms (Sorting, Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Searching, Breadth First Search, Depth First Search). Improve your coding skills, confidently answer technical interview questions, and strengthen your skills as a developer. This course is for C++ programmers preparing for an interview, university students taking a data structures and algorithms course, and self-taught programmers who missed out on a computer science degree. Enroll now with a 30-day money-back guarantee.
&nbsp;
<h2>What you'll Learn</h2>
Learn DSA Quicker with Vivified Models
Authority of Data Structures and Algorithms
Confidently Answer Technical Interview Questions
Time and Space Complexity of Data Structures and Algorithms
Fortify Your Abilities as a Developer
&nbsp;
<h2>Prerequisites</h2>
Basic programming
No experience with data structures or algorithms required
<h2>Description</h2>
Unlock Your Coding Potential with Data Structures and Algorithms in C++
&nbsp;
Express farewell to exhausting and confusing examples and hi to a dynamic, outwardly engaging opportunity for growth that will change the manner in which you code.
&nbsp;
My enlivened approach to Data Structures and Algorithms will assist you with quickly understanding complex concepts and hold more data, making your coding process simpler and more efficient.
&nbsp;
With north of 100 hand-crafted HD recordings, you'll receive an intensive understanding of Data Structures and Algorithms that will leave you feeling confident and ready.
&nbsp;
Expand your acquiring and lift your coding abilities by promptly scrutinizing your freshly discovered information with {Coding Exercises} after each coding video.
&nbsp;
Try not to simply believe me - see with your own eyes with the Free Example Recordings that I have made accessible.
&nbsp;
And you won't ever be left all alone, as I'll be there to respond to any questions and backing you constantly.
&nbsp;
✅ Select now and take your coding abilities to a higher level with Data Structures and Algorithms in C++!
&nbsp;
_____________________________
&nbsp;
What you will get in this course&hellip;
&nbsp;
More than 100 hand-crafted vivified HD recordings to delineate the Data Structures and Algorithms.
&nbsp;
Here are the topics we will cover:
&nbsp;
Technical
Big O notation
&nbsp;
Data Structures
<ul>
<li>Arrays</li>
<li>Vectors</li>
<li>Linked Lists</li>
<li>Doubly Linked Lists</li>
<li>Stacks and Queues</li>
<li>Binary Trees</li>
<li>Hash Tables</li>
<li>Graphs</li>
</ul>
&nbsp;
Algorithms
<ul>
<li>Sorting</li>
<li>Bubble Sort</li>
<li>Selection Sort</li>
<li>Insertion Sort</li>
<li>Merge Sort</li>
<li>Quick Sort</li>
<li>Searching</li>
<li>Breadth First Search</li>
<li>Depth First Search</li>
</ul>
&nbsp;
Discover the positive experiences of my past understudies:
⭐⭐⭐⭐⭐
"To describe this course accurately, we want the meaning of the word Lovely. beau&middot;ti&middot;ful: adjective 1.- satisfying the faculties or psyche esthetically. 2.- of an exceptionally elevated requirement; excellent." - Josue Hernandez Amezcua
⭐⭐⭐⭐⭐
"The best course on DSA on Udemy" - Enlai Li
⭐⭐⭐⭐⭐
"One of the most amazing courses on DSA. The movements truly do have a tremendous effect. Every one of the focuses are made sense of exhaustively. The main issue is that I can't give it in excess of a 5-star rating." - Nikita Sarkar
⭐⭐⭐⭐⭐
"Astonishing Course. My words cannot describe how much activitys assisted me with understanding the concepts. 100 percent Recommended." - Simarjeet Singh
⭐⭐⭐⭐⭐
"Being a visual student this is By a long shot the BEST course of all time. The manner in which the instructor presents this topic makes it so natural to understand." - Eduardo SN
⭐⭐⭐⭐⭐
"The activitys were truly useful for a simple understanding, however the best thing about this course for me is that it won't burn through your time! It is perfectly upgraded, covers the significant topics that I needed, and simultaneously perfectly clear. Much thanks." - Fatemeh Moghaddam
⭐⭐⭐⭐⭐
"This course is finished! ... the livelinesss in each video take the clarification and understanding of the material to another level." - Luis Felipe Posada
⭐⭐⭐⭐⭐
"This course has truly been astonishing. The movements have done some amazing things for my understanding and I have gained significant headway from the start of the course as of not long ago." - Dakota Fabro
⭐⭐⭐⭐⭐
"I can follow as a novice, astonishing." - Sabrina Fung
⭐⭐⭐⭐⭐
"This is the best course I have at any point seen" - Luong Viet Tri
&nbsp;
Keep in mind&hellip; I'm certain to such an extent that you'll cherish this course that we're offering a FULL unconditional promise for 30 days! So it's a complete easy decision, join today with ZERO gamble and All that to acquire.
&nbsp;
Try not to pass up this valuable chance to become a coding master!
&nbsp;
Click the ✅ "Enlist Currently" button and join thousands of successful understudies. I can't hold back to see what you'll achieve!
&nbsp;
I anticipate seeing you in the course.
&nbsp;
Presently we should begin! :- )
&nbsp;
Who this course is for:
C++ software engineers getting ready for an interview
College understudies taking a data structures and algorithms course
Any self educated developer who passed up a computer science certificate
<h2>Instructor</h2>
Scott Barrett
Developer and Lead Instructor
<ul>
<li>4.7 Instructor Rating</li>
<li>7,901 Reviews</li>
<li>45,078 Students</li>
<li>4 Courses</li>
</ul>
I'm Scott, and I'm a developer enthusiastically for teaching.
&nbsp;
I've assisted huge number of understudies with figuring out how to code and change their lives by becoming a developer.
&nbsp;
My courses make figuring out how to code tomfoolery and make hard concepts straightforward.
&nbsp;
How would I do this? By utilizing livelinesss!
&nbsp;
Vitalizing the Data Structures and Algorithms makes all that all the more outwardly captivating and permits understudies to learn more material - quicker than expected - with higher maintenance (a very decent combination).
&nbsp;
I will utilize these visuals to direct you, bit by bit, through the whole course.
&nbsp;
My courses additionally include handfuls and-many ⚡Coding Exercises. So you can promptly incorporate everything when you learn it (a vital stage).
&nbsp;
I have made a few Free Example Recordings accessible for each course so you can see the difference the movements make.
&nbsp;
Likewise, I'm extremely active on the question and answer session, so I will be with you every_step_of _the_way.
&nbsp;
I anticipate seeing you in the course.
&nbsp;
How about we get everything rolling! :- )
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/data-structures-algorithms-javascript">Data Structures &amp; Algorithms - JavaScript</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/data-structures-algorithms-python">Data Structures &amp; Algorithms - Python</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/data-structures-algorithms-java">Data Structures &amp; Algorithms - Java</a></li>
</ul>

Data Structures & Algorithms 🔥

C++ Data Structures & Algorithms + LEETCODE Exercises

That Weird JavaScript Course&nbsp;takes a unique approach towards teaching fundamental programming concepts. Not only will you learn practical techniques for building apps, but you will also gain knowledge about the history, science, and culture that surrounds the world&rsquo;s most widely-used programming language. My mission is to make you a well-rounded&nbsp;<a href="https://fireship.io/tags/javascript/">JavaScript</a>&nbsp;developer who can nail job interviews and build apps in the browser and NodeJS.
<h3 id="-is-this-course-right-for-me">🤔 Is this Course Right for Me?</h3>
This course is&nbsp;beginner to intermediate&nbsp;level and designed to teach you JavaScript programming fundamentals. It is suitable for programmers of all skill levels who want dive into theoretical computer science and practical JavaScript coding techniques that apply to both backend &amp; frontend development.
<h3 id="-work-in-progress">🔨 Work in Progress</h3>
This course is being released in weekly intervals and is currently a work in progress. Make sure to&nbsp;<a href="https://www.youtube.com/channel/UCsBjURrPoezykLs9EqgamOA">subscribe on YouTube</a>&nbsp;to catch the next episode.
<h2>Chapters</h2>
<ol>
<li>The History of JavaScript - ECMAScript's evolution over the last 25 years</li>
<li>How JavaScript Works - Key terms and concepts related to the inner-workings of JS</li>
<li>How to Run JavaScript Code - How and where to run JavaScript code</li>
<li>The JavaScript Survival Guide - A quick primer for advanced JavaScript concepts like primitives, hoisting, closures, and this binding.</li>
<li>Functions - Key concepts and practical examples of JavaScript functions</li>
<li>Objects - Everything you need to know about the JavaScript Object</li>
</ol>

That Weird JavaScript Course - Fireship

🤔 Is this Course Right for Me?

🔨 Work in Progress

Chapters

Jack Sparrow

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