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@A-gambit
A-gambit / ReactiveConf2017.md
Last active June 19, 2021 16:57
Proposal for lightning talk at ReactiveConf 2017: How do you make friends with React and FRP? 🤔 Start to develop your application using Focal.

How do you make friends with React and FRP? 🤔 Start to develop your application using Focal.

This is a CFP for the ⚡️Lightning⚡️ talk at awesome ReactiveConf 2017. If you'd like to see this talk, please 🌟 star🌟 this summary and retweet my tweet 🙂 #ReactiveConf

image

Functional reactive programming (FRP) is very popular nowadays. The JavaScript community provides us with excellent tools like RxJS, Bacon, and Kefir. But, as we know, they have nothing to do with React. So how we can use the power of FRP in our React application? Using the correct state management, we can make friends with FRP and React and make our application truly reactive. In my lightning talk, I will talk about Focal

@A-gambit
A-gambit / REACTIVE2016-LIGHTNING-PROPOSAL.md
Last active February 22, 2024 18:24
Proposal for lightning talk at ReactiveConf 2016: Road from UndefinedLand

Proposal for a lightning talk at the Reactive 2016.

Keep calm and like/retweet it on Twitter and star this Gist to vote on this talk.

Road from UndefinedLand

Undefiend

I work at Grammarly. We like React and happily use it in our applications. However, sometimes something goes wrong and bugs creep into the code. Here comes testing. It helps make us confident about the quality of our code.

@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs