3D animations in Reactjs

https://youtu.be/IyBhFma4H1A

Use Device Webcam in your applications
https://www.youtube.com/watch?v=4sLUfUGLEp0

Free Next.Js Courses

Next.js for Beginners - Full Course
🆓 Free Online Course
👨‍🏫 freeCodeCamp.org
🎬 15 lessons
⏰ 2-3 hours worth of material
Source : frrecodecamp
🏃‍♂️ Self paced
🔗 Course link

NextJS up and running
Rating ⭐️: 4.3 out of 5
Students 👨‍🏫: 5,496 students
Duration ⏰: 39min of on-demand video
Created by: Atila Fassina
🔗 Course link

Introduction to Next.js 9
🆓 Free Online Course
👨‍🏫 Xiaoru Li
🎬 12 lessons
⏰ Less than 1 hour of material
Source : egghead.io
🏃‍♂️ Self paced
🔗 Course link

Next.js React Framework Course – Build and Deploy a Full Stack App From scratch
🆓 Free Online Course
🎬 15 lessons
⏰ 4-5 hours worth of material
🏃‍♂️ Self paced
Source: freecodecamp
🔗 Course link

Learn Next.js with tailwind CSS, MongoDB and Express.Js
Rating ⭐️: 4.6 out of 5
Students 👨‍🏫: 6,672 students
Duration ⏰: 1hr 57min of on-demand video
Created by: Alaribe Bright
🔗 Course link

Mastering Next.js
🆓 Free Online Course
🎬 12 lessons
⏰ 5-6 hours worth of material
🏃‍♂️ Self paced
Source: masteringnextjs
🔗 Course link

Code a Reddit Clone with React, Next.js, Firebase v9, Chakra UI – Full Course
🆓 Free Online Course
🎬 67 lessons
⏰ 12 hours worth of material
🏃‍♂️ Self paced
Source: freecodecamp
🔗 COURSE LINK

Next JS with React Hooks - Building SSR React Applications
Rating ⭐️: 4.7 out of 5
Students 👨‍🏫: 18,072 students
Duration ⏰: 1hr 48min of on-demand video
Created by: Ryan Dhungel
🔗 Course link

Building an AI App with ChatGPT, React Native, and NextJS (tutorial)
🆓 Free Online Course
🎬 17 lessons
⏰ 2-3 hours worth of material
🏃‍♂️ Self paced
Source: Class Central
🔗 COURSE LINK

Next.js 13 Crash Course | Learn How To Build Full Stack Apps!
🆓 Free Online Course
Duration ⏰: 1 hour of on-demand video
🏃‍♂️ Self paced
Source: YouTube
🔗 Course link


#Next_JS #NextJS_9 #NextJS_13
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Algoritms and Data Structures

https://youtube.com/playlist?list=PLIY8eNdw5tW_zX3OCzX7NJ8bL1p6pWfgG

Free JavaScript Courses

CS50’s Web Programming with JavaScript
🆓 Free Online Course
⏰ 10 weeks worth of material
📚 Notes, slides, transcript, lab
🏃‍♂️ Self paced
created by: Harvard
🔗 Course link

Learn to Program in Javascript: Beginner to Pro
by Udemy
Don't just be a good programmer, become a great one, because that is what matters.
Rating ⭐️: 4.4 out of 5
Students 👨‍🎓: 185,448 students
Duration ⏰: 4hr 24min of on-demand video
🔗 Course link

Beginner's Series to: JavaScript
by Microsoft
🆓 Free Online Course
🎬 51 short episodes
⏰ 1-2 hours worth of material
🏃‍♂️ Self paced
🔗 Course link

Learn JavaScript Basics
Rating ⭐️: 4.6 out of 5
Students 👨‍🎓: 4941
Duration ⏰: 4 hours+ on-demand video content
12 hands-on-keyboard exercises
🔗 Course link

This is CS50
by Harvard College
🆓 Free Online Course
🏃‍♂️ Self paced
Created by: OpenCourseWare
🔗 Course link

JavaScript course
by Linkedin
Instructor 👨‍🏫: Morten Rand-Hendriksen
Level 📊: Beginner
🎬 74 video lessons
🔗 Course link

JavaScript Basics Course
🆓 Free Online Course
🎬 36 video lessons
⏰ 3-4 hours worth of material
🏃‍♂️ Self paced
🔗 Course link

Learn Blockchain, Solidity, and Full Stack Web3 Development with JavaScript
🆓 Free Online Course
⏳ 32-Hour Course
🏃‍♂️ Self paced
📶 Beginner level
Source: freeCodeCamp
🔗 Course link

Javascript Essentials
by Udemy
Learn how Javascript works, some basic API's and finally create a mini project.
Rating ⭐️: 4.5 out of 5
Students 👨‍🎓: 303,972
Duration ⏰: 6h 30min
🔗 Course link

Learn JavaScript - Full Course for Beginners
🎬 135 video lessons
🆓 Free Online Course
🏃‍♂️ Self paced
👨‍🏫 Teacher: Beau Carnes (from Grand Rapids, Michigan, USA)
Offered by: freeCodeCamp
🔗 Course link

JavaScript fullstack course
by The odin project
🔗 Course link

Introduction to Backbone.js Video Tutorial
🆓 Free Online Course
💻 10 Lecture Videos
🏃‍♂️ Self paced
Teacher 👨‍🏫 : Joe Zimmerman
🔗 Course Link

Learn JavaScript - Full Course for Beginners
By freeCodeCamp on Youtube
Duration ⏰: 3h 26min
🔗 Course link

Web Development for Beginners by Microsoft
👨‍🏫 Authors: Jen Looper, Chris Noring, Christopher Harrison, Jasmine Greenaway, Yohan Lasorsa, Floor Drees, and sketchnote artist Tomomi Imura
🆓 Free Online Course
🏃‍♂️ Self paced
🎬 24 lessons
🔗 Link to course
🔗 Link to PDF

The Modern JavaScript Tutorial
🆓 Free Online Course
⏰ 3 Modules
🏃‍♂️ Self paced
Source: JavaScript info
🔗 Course link


Cheat Sheets
JavaScript Cheat Sheet
JavaScript Basics


Books & GitHub Repositories
Eloquent JavaScript E-book
🔗 Source link
You Don't Know JS Yet (book series) - 2nd Edition (GitHub repository)
🔗 Source link
30 seconds of code (GitHub repository)
🔗 Source link


#javascript #js
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Sorting algorithms are really crucial to learn. We all care about the time complexity (Big O) or space complexity. We use merge sort and quick sort because they have lower time complexity compared to others.

What about the worst sorting algorithm?

BOGO sort (monkey sort) is famous because of its terrible time complexity. The worst case time complexity (Big Theta) is INFINITE! "Sorting" works like this: the given array is shuffled randomly until it's accidently sorted. This is crazy! We just sit down expecting it to be sorted...

Computing for Computer Scientists

This 1-credit seminar is designed to teach the essentials of using a computer effectively for EECS students. While the target audience is CS/CE/DS students, any student wishing to learn how to use their computer much more effectively is encouraged to join. Topics covered include shells, environment, scripting, build systems, compilers, debugging tools, and version control. The end of the course will be open to student input for interesting topics to cover.

🆓 Free Online Course
🎬 Video lectures
🧮 Lecture Notes, slides
Duration ⏰ : 15 weeks
☢️ Exercises
📶 Assignments
🏃‍♂️ Self paced
Teacher(s) 👨‍🏫 : Marcus Darden, Samiur Khan, Christina Liu, Amrit Hariharan, Stevie Triesenberg, Tarun Khubchandani
Source: University of Michigan

🔗 Course Link

#Computing #Computer_Scientists
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Introduction To Algorithms Fall 2011

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

🆓 Free Online Course
💻 Lecture Videos
🧮 Lecture Notes
📶 Assignments
☢️ Projects
🏃‍♂️ Self paced
Teacher 👨‍🏫 : Prof. Nickolai Zeldovich

Source: MIT

🔗 Course Link

#Introduction #Algorithms #MIT
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CS106B - Programming Abstractions

This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming language, which is similar to both C and Java. If you've taken the Computer Science AP exam and done well (scored 4 or 5) or earned a good grade in a college course, Programming Abstractions may be an appropriate course for you to start with, but often Programming Abstractions (Accelerated) is a better choice. Programming Abstractions assumes that you already have familiarity with good programming style and software engineering issues (at the level of Programming Methodology), and that you can use this understanding as a foundation on which to tackle new topics in programming and data abstraction.

🆓 Free Online Course
💻 Lecture Videos
🧮 Handouts
📶 Assignments
☢️ Exams
🏃‍♂️ Self paced
Teacher 👨‍🏫 : Zelenski, Julie

Source: Stanford

🔗 Course Link

#Programming #Abstraction #Stanford
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Free Material UI Courses

Learning resources From Material UI Officials
🆓 Free Online Course
🎬 video lessonss
🏃‍♂️ Self paced
Duration ⏰: more than 2 hours worth of material
Source: Material UI
🔗 Course Link

Material UI
🆓 Free Online Course
🎬 video lessons
🏃‍♂️ Self paced
Duration ⏰: 2+ hours worth of material
Source: React School
🔗 Course Link

Code a Dictionary with React and Material UI
🆓 Free Online Course
🎬 video lesson
🏃‍♂️ Self paced
Duration ⏰: 1-2 hours worth of material
Source: freeCodeCamp
🔗 Course Link

Material UI Tutorial
🆓 Free Online Course
🎬 video lesson
🏃‍♂️ Self paced
Duration ⏰: 2-3 hours worth of material
Source: Net Ninja
🔗 Course Link

Material UI 5 (MUI) React Tutorial | MUI Responsive Real Project
🆓 Free Online Course
🎬 Video lessons
Duration ⏰ : 1-2 hours worth of material
🏃‍♂️ Self paced
Source: Class Central
🔗 Course Link

MUI5 (Material UI) Crash Course
🆓 Free Online Course
🎬 Video lessons
Duration ⏰ :1-2 hrs of on-demand video
🏃‍♂️ Self paced
Source: YouTube
🔗 Course Link


Tutorials
React Material-UI Introduction and Installation
Material UI
Material Ui


Books
Material UI Documentation
React Material-UI Cookbook


#Material_UI #MUI #MUI_5
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Bepul frilanserlik dasturi uchun qabul tez kunda yopiladi!

Xabar berilganidek, ICT4Girls loyihasi doirasida 2023-yil sentabrida frilanserlikka bag'ishlangan bepul dastur start oladi.

👩🏻‍💻Saralangan 10 nafar frontendchi qiz 2 oy davomida “Upwork” platformasida Top rated darajasidagi frontend dasturchi Sabohat Qalandarova bilan frilanserlik asoslarini bepul o'rganib, to'plagan nazariy bilimlarini amaliyotda ham sinab ko'radi.

Nomzodlar uchun talablar:
🔹frontend dasturlash bo'yicha bilim
🔹IELTS 6.0
🔹Portfolio

Dasturda ishtirok etish uchun arizalar 15-avgust 23:59ga qadar qabul qilinadi. Ariza formasiga IELTS sertifikati, yangilangan rezyume va portfolio ham biriktirish zarur.

Biz Sizni kutyapmiz😊

Telegram | YouTube

Theory of Computation - Fall 2020

This course emphasizes computability and computational complexity theory. Topics include regular and context-free languages, decidable and undecidable problems, reducibility, recursive function theory, time and space measures on computation, completeness, hierarchy theorems, inherently complex problems, oracles, probabilistic computation, and interactive proof systems.

🆓 Free Online Course
💻 Lecture Videos
📄 Notes
⏰ 4 Module
🏃‍♂️ Self paced
Source : MIT
Teacher(s) 👨‍🏫 : Prof. Michael Sipser

🔗 Course Link


#Computation #Theory_of_Computation
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As the 3rd year of studies is about to start, I have started considering getting Master's degree, and asked GPT what should I do in order to do it. Here I am sharing the results, and hope that it will be helpful for you:



Getting accepted into a Master's program at a US university, especially in the field of IT and software engineering, requires careful planning and preparation. Here are some steps you can take to increase your chances of being accepted:

Research Programs: Start by researching different universities and Master's programs that align with your interests and career goals. Look for universities with strong IT and software engineering departments.

Check Admission Requirements: Each university and program might have specific admission requirements. Common requirements include a completed bachelor's degree (in a relevant field), transcripts, letters of recommendation, a statement of purpose, and standardized test scores (such as the GRE or TOEFL/IELTS for international students).

Maintain a Strong GPA: A good academic record is crucial. Many programs have a minimum GPA requirement, and a higher GPA will make your application more competitive.

Prepare for Standardized Tests: If the program requires standardized tests like the GRE, start preparing early. Consider taking preparatory courses or using study materials to perform well on the test.

Letters of Recommendation: Obtain strong letters of recommendation from professors, employers, or professionals who can attest to your academic and professional abilities.

Statement of Purpose (SOP): Your SOP is a critical part of your application. Clearly articulate your reasons for pursuing the Master's program, your career goals, and how the program aligns with your aspirations. Highlight your relevant skills and experiences.

Work Experience: While not always required, having relevant work experience in IT or software engineering can significantly strengthen your application. It demonstrates practical skills and a commitment to the field.

Research Experience: If you have been involved in research projects, highlight them in your application. Research experience can showcase your analytical and problem-solving skills.

Tailor Your Application: Customize your application materials for each university. Explain why you are a good fit for their program and how their resources can help you achieve your goals.

Networking: Connect with professors, professionals, or alumni associated with the programs you're interested in. Networking can provide insights into the program and even lead to recommendations.

Financial Planning: Consider the cost of tuition and living expenses. Research scholarship and funding opportunities to help ease the financial burden.

Deadlines: Pay close attention to application deadlines and ensure you submit all required materials on time. Some universities offer early decision or rolling admissions, so applying early can be advantageous.

Portfolio (if applicable): For IT and software engineering programs, having a portfolio showcasing your coding projects, software development, or other relevant work can be beneficial.

Interviews: Some programs might require interviews as part of the selection process. Prepare for these by practicing your communication skills and researching common interview questions.

English Proficiency: If English is not your first language, be prepared to demonstrate your English proficiency through tests like TOEFL or IELTS.

Remember that the application process can be competitive, so it's important to put your best foot forward. Each university has its own criteria for admission, so thoroughly research the requirements for each program you're interested in. Good luck!