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How Big O works (explained in 2 mins or less): ✓ Big O tells how much slower a code gets as the input increases. ✓ There are best, average, and worst cases for a specific algorithm. ✓ Besides there are Big Os for time, memory, and storage efficiency. ✓ Big O helps to understand which data structures or algorithms have better performance. ✓ Big O shows the growth rate and not the actual speed. So it's important to test the input data. What else would you add? —— 👋 PS - Want my System Design...
Docker vs. Kubernetes: Understanding the Difference Choosing between Docker and Kubernetes depends on your project needs. Here's a quick comparison: 🔹…
Summary of #Java 8,9,10,11,12,13,14,15,16,17,18,19 features. All features in a single tweet. #retweet #share #like #follow #bookmark Good know. Thread 👇
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Live coding interview’lerinde iki tarafta da bulunmus ve bilimum FAANG algorithm ve data structure sorularini temizlemis birisi olarak tavsiyemlerimi siraliyorum. 🧵 1/11
Dünyanın önde gelen kitap kritik sitesi The New York Times Book Review; roman yazarları, kurgu dışı yazarları, şairler ve kitap eleştirmenlerinden oluşan 503 kişilik bir jüriyle, 21. yüzyılın en iyi 100 kitabını seçti. İşte o liste
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Discover the best practices for using Spring Boot annotations effectively in your applications. Learn how to simplify your code and improve maintainability with clear examples and insights in this comprehensive guide on Spring Boot Annotations Best Practices.
