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code optimization in python

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Victorious Vulture answered on March 15, 2022 Popularity 9/10 Helpfulness 1/10

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code optimization in python

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HOW TO WRITE BETTER CODE IN PYTHON | TIP #1

1 - List comprehension
#DONT DO THIS:

list = []
for i in range(number):
    list.append(i)
    
#DO THIS:

list = [i for i in range(number)]

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Tags: optimization python

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Contributed on Mar 15 2022

Victorious Vulture

0 Answers Avg Quality 2/10

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import numpy as np
from scipy.optimize import minimize

# Define a cubic function to minimize: z = Ax^3 + By + C
def cubic_function(x, A, B, C):
    return A * x[0]**3 + B * x[1] + C

# Coefficients for the cubic function
A_coefficient = 2.0
B_coefficient = -3.0
C_constant = 5.0

# Initial guess
initial_guess = [1, 1]

# Minimize the cubic function
result = minimize(cubic_function, initial_guess, args=(A_coefficient, B_coefficient, C_constant), method='Nelder-Mead')

# Print the result
print("Minimum found at x:", result.x)
print("Minimum function value (z):", result.fun)

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Contributed on Jan 07 2024

Innocent Iguana

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python code optimization

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-1

Here is a good optimization trick for many:


#INSTEAD OF:
list = []
for i in range(number):
    list.append(value)
 
#USE:
list = [value for i in range(number]


#INSTEAD OF:
for i in range(len(list)):
    #Do something
   
USE:
for i, value in enumerate(list):
    #Do something
    
    
APPLYING IT:

#THIS:
matrix = [[0 for i in range(number1)] for j in range(number2)]

#IS BETTER THAN:
matrix = []
for i in range(number1):
    row = []
    for j in range(number2):
        row.append(0)
    matrix.append(row)

Popularity 9/10 Helpfulness 1/10 Language python

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Tags: optimization optimizati

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Contributed on Jun 21 2022

Victorious Vulture

0 Answers Avg Quality 2/10

optimization in python

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-2

OPTIMIZATION FOR PYTHON: TIP 2 - 4

2 - When importing modules you can import them all in a single line:

import module_1, module_2, module_3, etc...


3 - When importing everything from a module use *:

from random import *

We imported everything from the 'random' module using *, now we dont need to use 'random.'
FUN FACT: Not using module. increases performance since module. uses the get_attr function which
decreases performance


4 - When importing only a few things from a module combine the two tips above:

from random import randint, choice

#Now we only import the things we want while also iincreasing performance and start-up time

Popularity 9/10 Helpfulness 1/10 Language python

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Tags: optimization optimizati

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Contributed on Mar 19 2022

Victorious Vulture

0 Answers Avg Quality 2/10

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