Original Research to Predict Prime Numbers — Error Convergence Using Data Science

Author(s): Ashutosh Malgaonkar

Originally published on Towards AI.

Using Python to Unlock the Prime Number Pattern

Top highlight

This member-only story is on us. Upgrade to access all of Medium.

I. Sample of primes between 0 and 103(excluded)

II. Modular Indexing the odds and the evens to create an equation

III. Stepping Up to primes between 0 and 50023(excluded)

IV. Vanishing Error Method on primes between 0 and 12000000

VI. Python Testing using n prime

Open Python and type the below code in. This code will give you the primes from 0 to 103 excluded.

import sympyc=list(sympy.sieve.primerange(0, 103))

Here are the primes. These will be in the list saved under the variable c.

2 3 5 7 11 13 17 19 23 29 31 37 41… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI