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  1. This article goes over the Add Two Numbers problem on LeetCode.

  2. Exactly Once

    In Kafka, exactly once delivery ensures a message is written exactly once to a topic, achieved through idempotent producers and `acks=all` settings.

  3. Introduction To Celery

    Celery is a distributed task queue, which means it spreads work across a bunch of threads and machines.

  4. Node.js’s event loop is implemented in a library called libuv, which is also used by Julia and Python.

  5. Asynchronous I/O

    Node.js optimizes performance by using non-blocking I/O, avoiding maintaining multiple threads for concurrent operations.

  6. This article goes over JavaScript generators, which are functions that can pause and resume execution.

  7. Classes in JavaScript

    Classes in JavaScript are a construction from ES6.

  8. Modules in Node.js

    When programming in Node.js, it's important to understand the basics of the module system, such as scope, exports, and how that allows you to do some caching.

  9. A database index is an extra data structure in a storage engine with the goal of faster retrieval.

  10. Sockets are endpoints of connections used in TCP.

  11. Git's DAG

    Commit objects in Git contain information about revisions, pointers to parent commits, and metadata, forming a structure where branches are pointers to commits and the HEAD ref points to the current branch.

  12. Gradle is a DAG

    Gradle, a build tool, uses directed acyclic graphs (DAGs) to manage task dependencies, ensuring tasks like compileJava are completed before dependent tasks like build.

  13. A topological ordering of a directed graph is an ordering that satisfies the graphs dependencies.

  14. What is a DAG?

    A directed acyclic graph is one of the most important data structures we deal with in software engineering.

  15. Dijkstra’s algorithm is a way to find the shortest path from one vertex to every other vertex in a graph.

  16. Java and JavaScript are two of the most popular languages out there.

  17. Monte Carlo methods originated from the Manhattan Project, as a way to simulate the distance neutrons would travel through through various materials.