Creating serendipity with Python

John Graham-Cumming has shared an interesting approach to dividing employees into random groups for virtual hangouts. He initially wrote a Python code to divide n elements into groups of at least size g, minimizing the size of each group. Later, he simplified the solution by using a formula that calculates how many elements should be in each group without looping. The final code is: `groups = [1+max(0,n-(i+1))//(n//g) for i in range(n//g)]`. This approach helps to ensure fair distribution of employees into groups and promotes interaction among them.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.