Well, have I got news for you! Introducing Cython the magical tool that can turn your slow-as-molasses Python into lightning-fast C. And today, we’re going to talk about one of its most underrated features: efficient iteration over char*, bytes and Unicode strings.
Let me explain. In traditional Python land, iterating through a string is like trying to run in quicksand it’s slow and painful. But with Cython, you can make your code as fast as a cheetah on juice (or maybe just a regular cheetah). Here’s how:
# Import the Cython library
import cython
# Import the strlen function from the libc.string library
from libc.string cimport strlen
# Add a decorator to disable bounds checking for faster execution
@cython.boundscheck(False)
# Define a function that takes in a char* string
def my_function(char* string):
# Use the strlen function to get the length of the string
# and iterate through it using a range object
for i in range(strlen(string)):
# Check if the current character is equal to 'A'
if string[i] == 'A':
# If it is, print a message
print("Found the letter A")
That’s right, By using Cython to compile our code into C, we can iterate through strings with lightning-fast speed. And it gets even better this technique works for both char* and bytes objects as well:
# Import the Cython library
import cython
# Import the size_t function from the standard library
from libc.stdlib cimport size_t
# Add a decorator to disable bounds checking for faster execution
@cython.boundscheck(False)
# Define a function called my_function2 that takes in a bytes object as input
def my_function2(bytes string):
# Use a for loop to iterate through the length of the string
for i in range(len(string)):
# Check if the current character is equal to the byte representation of 'A'
if string[i] == b'A':
# If it is, print a message indicating that the letter A was found
print("Found the letter A")
Cython can even handle Unicode strings with ease:
# Import the cython module
import cython
# Import the size_t function from the libc.stdlib module
from libc.stdlib cimport size_t
# Add a decorator to disable bounds checking for improved performance
@cython.boundscheck(False)
# Define a function called my_function3 that takes in a unicode string as a parameter
def my_function3(unicode string):
# Use a for loop to iterate through the length of the string
for i in range(len(string)):
# Use an if statement to check if the current character is equal to the unicode character 'A'
if string[i] == u'A':
# If the condition is met, print a message indicating that the letter A was found
print("Found the letter A")
That’s right, Cython can handle Unicode strings without any extra typing required. It just knows what to do automatically. And that’s not all according to some of our favorite Python experts (who are way smarter than us), using Cython for performance optimization is a clear win:
“The biggest surprise (and of course this is Cython’s selling point) is how simple the interfacing between high level and low level code becomes, and the fact that it is all very robust. It’s exiciting to see that there are several active projects around that attempt to speed up Python.” Fredrik Johansson
“If you have a piece of Python that you need to run fast, then I would recommend you used Cython immediately. This means that I can exploit the beauty of Python and the speed of C together, and thats a match made in heaven.” Stavros
And who doesn’t want to run like a cheetah? So go ahead, give Cython a try we promise it won’t disappoint!