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Ford-Fulkerson Algorithm
The maximum flow problem involves finding the highest possible flow that can travel from a source to a sink in a flow network without exceeding edge…
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Teiva Harsanyi
🎉 1,000 Subscribers, 1 Coding Challenge!
We just hit a big milestone at The Coder Cafe! To celebrate, we’re launching our own Discord server and kicking off a coding challenge with prizes.
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Teiva Harsanyi
Bloom Filters
Bloom filters offer a space-efficient solution for checking set membership, trading accuracy for reduced memory usage.
 • 
Teiva Harsanyi
So, I Wrote a Book
The Story Behind 100 Go Mistakes and How to Avoid Them
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Teiva Harsanyi
12
Eventually Green Tests (April Fool’s Joke)
With enough time, 97% of failing tests will eventually pass or become irrelevant.
 • 
Teiva Harsanyi
3
Lurking Variables
Proactively segmenting data per influencing factors can help discover lurking variables before they lead to misinterpretations.
 • 
Teiva Harsanyi
Functors, Applicatives, and Monads
Thanks to constructs like monads, imperative-style code can be reconciled with the purity and declarative nature of functional programming.
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Teiva Harsanyi
3
Post Hoc Ergo Propter Hoc
When temporality becomes causality.
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Teiva Harsanyi
Tidy First?
Tidying are a subset of refactorings. Tidying are the cute, fuzzy little refactorings that nobody could possibly hate on.
 • 
Teiva Harsanyi
Simultaneous Multithreading
What are the key benefits of using Simultaneous Multithreading (SMT) in CPU architecture?
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Teiva Harsanyi
2
10 Rules I Learned About Technical Writing
Empathy matters: Just because something is simple for you doesn’t mean it’s simple for your reader.
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Teiva Harsanyi
Instruction Pipelining
The key to performance? Keep the CPU busy, not waiting.
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Teiva Harsanyi
The Coder Cafe
The Coder Cafe
Feeling overwhelmed by the endless stream of tech content? At The Coder Cafe, we serve timeless concepts with your coffee. Written by a Google SWE and published author, we help you grow as an engineer, one coffee at a time.
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Ford-Fulkerson Algorithm
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Concurrency vs. Parallelism
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