Data Analyst In Retail Trading

We figure a small team is easier to share perspectives, update on what's happening and discuss different work aspects. Besides better communication, working cross functional creates a higher chance to understand the whole operation flow.

The Dwarves Runs By Ideas

Aarrr Framework In A Nutshell

A philosophical exploration of authentic employee engagement in software companies, focusing on individual contributions, unconventional hiring practices, knowledge sharing culture, and intrinsic motivation rather than superficial happiness metrics.

How People Matter Should Work

Be Careful With Your Code Splitting Setup

Explore efficient techniques for handling concurrent workloads in Go, including worker pools, fan-out/fan-in patterns, pipelines, and semaphores. This guide provides practical examples, code snippets, and insights into implementing these patterns, discussing their benefits and potential drawbacks. Learn how to improve performance, scalability, and resource management in Go applications while avoiding common pitfalls like deadlocks and excessive resource consumption.

Approaches To Manage Concurrent Workloads Like Worker Pools And Pipelines

An in-depth exploration of arrays and slices in Go, covering their differences, internal implementations, and key operations like append. Learn about fixed-length arrays, flexible slices, and how Go manages memory allocation for growing slices.

#practice

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