Real-world web performance optimization for frontend developers (feat. React) - Part. 1
hackurity01
Learn how to measure the performance of your React-built web services and optimize them for speed and efficiency.
중급이상
React, Chrome DevTools
Learn how to measure the performance of your React-built web services and optimize them for speed and efficiency.
How to Analyze the Performance of a Web Service
Various Web Performance Optimization Techniques
How a browser works
How to use Chrome devtools
How to use React devtools
Front-end performance optimization
To grow into a capable FE developer
Real-world! Optimizing Web Frontend Performance.
You can see more course reviews on the course page. (Click)
Inflearn is the best!
Practical Web Performance Optimization Series 🎲
This course teaches you analysis and optimization techniques for web services through various examples.
Unlike the typical irresponsible optimization lectures that only teach theories,
You can learn analysis and optimization directly through real-world examples .
This is Korea's first performance optimization X-axis lecture !
It's been quite some time since the field called front-end emerged,
Few front-end developers know much about web performance optimization.
In this reality,
Learn web performance optimization techniques to become a top front-end talent .
It's your choice whether you want to be just another employee who simply publishes.
Please check the learning target!
I created this course after thinking about the fundamentals of 'how' to learn performance optimization . After looking back on my previous experience analyzing and optimizing the performance of various web services, I thought that rather than just teaching you a lot of theory, if you analyze and practice example services yourself, you will be able to learn web performance optimization more clearly.
In fact, performance optimization can vary depending on the situation, and there are various methods, but I have gathered the core ones, and it is not just an optimization technique, but also the operating principles of browsers and performance analysis methods , so please study hard and learn the bones and flesh of web front-end development. Questions are always welcome.
Q. How difficult is the lecture?
Basic knowledge of the web is required. However, since the performance optimization part is explained in detail from the basics, even those who are new to performance optimization can understand it.
Q. What programs (or tools) do you use in this course?
I mainly use Chrome's developer tools (devtools). In addition, I use additional libraries as needed. Since I provide instructions and simple explanations, you won't have any difficulty learning.
Q. Are there any special advantages to this course?
Learning web performance optimization is difficult because there are no proper materials and most of them are fragmentary theories. However, in this lecture, we have prepared several web services where you can learn and practice by collecting such fragmentary optimization techniques. Therefore, you can learn in detail how to analyze the service, what to base it on, and what optimization techniques to apply.
Who is this course right for?
Developers interested in optimizing web performance
Developers who want to create faster, lighter web services
Developers who want to make better use of Chrome devtools
Web Frontend Developer Who Wants to Be Competitive
Need to know before starting?
HTML5, Javascript, CSS
React.js
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Learners
211
Reviews
107
Answers
4.9
Rating
3
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마이크로소프트웨어 393호(JS 주제), 392호(블록체인 주제) 기고
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21 lectures ∙ (7hr 53min)
Course Materials:
12. 3-9) Summary
10:54
21. 4-9) Summary
11:46
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49 reviews
5.0
49 reviews
Reviews 2
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Average Rating 5.0
5
It was really helpful listening to Part 1, but this time the project class volume has increased, so it's even better. I'm learning a lot~
Hello Junsu Shin. Thank you for your interest in the lecture! I will try to provide newer and more useful exercises in the next lecture! :)
Reviews 8
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Average Rating 5.0
5
This time, I took the course along with Part 1. When it comes to optimization, I often searched Google and got frustrated because I didn't understand it, but the rich examples and kind explanations helped me a lot. Thank you for releasing a good course, and I will definitely listen to the next series if it comes out^^
Reviews 1
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Average Rating 5.0
5
Thank you for the great lecture. However, I think it would be better if you could make the source screen bigger when you teach the next series. Thank you.
Hello, jhkim. I apologize for not being able to enlarge the source code screen. 😭 I will come back with a more readable screen in the next lecture! Thank you for your interest in the lecture!
Reviews 3
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Average Rating 5.0
Reviews 3
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Average Rating 5.0
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