PandaPrimes

PandaPrimes is a CPython extension under active development, leveraging the powerful primesieve library to significantly enhance prime number generation performance.

Usage

Iterating Over Primes

Iterating through primes is a common practice, providing a memory-efficient way to work with prime numbers. PandaPrimes introduces two main functionalities for iterating through primes.

primes_range

The primes_range function enables seamless iteration through prime numbers within a specified range.

from PandaPrimes import primes_range

primes_count = 0

# Example 1: Iterate through primes less than or equal to one million
for prime in primes_range(10**6):
    primes_count += 1

primes_count = 0

# Example 2: Iterate through primes in the range between one million and five million
for prime in primes_range(10**6, 5*10**6):
    primes_count += 1

Prime Generation

generate_primes

The generate_primes function creates a NumPy array containing prime numbers within a specified range.

from PandaPrimes import generate_primes

# Example: Generate an array of primes from 2 to 1e10
primes_array = generate_primes(10**10)

generate_n_primes

The generate_n_primes function generates a NumPy array of the first n prime numbers.

from PandaPrimes import generate_n_primes

# Example: Generate an array containing the first million prime numbers
primes_array = generate_n_primes(10**6)

Installation

As of now, PandaPrimes is still under development.

• for now you can try it by installing primesieve library on you machine first. install primesieve

• after that you can simply install PandaPrimes using pip.

pip install PandaPrimes

Contributing

We welcome contributions from the community! Feel free to contribute by opening issues, submitting pull requests, or providing feedback.

Please note that the README usage section is a work in progress, and further details will be added as development progresses.