HOW TO WRITE BETTER CODE IN PYTHON | TIP #1

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1 - List comprehension

#DONT DO THIS:

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list = []

for i in range(number):

    list.append(i)

#DO THIS:

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

import numpy as np

from scipy.optimize import minimize

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# 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

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# Coefficients for the cubic function

A_coefficient = 2.0

B_coefficient = -3.0

C_constant = 5.0

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# Initial guess

initial_guess = [1, 1]

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# Minimize the cubic function

result = minimize(cubic_function, initial_guess, args=(A_coefficient, B_coefficient, C_constant), method='Nelder-Mead')

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# Print the result

print("Minimum found at x:", result.x)

print("Minimum function value (z):", result.fun)

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Here is a good optimization trick for many:

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#INSTEAD OF:

list = []

for i in range(number):

    list.append(value)

#USE:

list = [value for i in range(number]

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#INSTEAD OF:

for i in range(len(list)):

    #Do something

USE:

for i, value in enumerate(list):

    #Do something

APPLYING IT:

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#THIS:

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

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#IS BETTER THAN:

matrix = []

for i in range(number1):

    row = []

    for j in range(number2):

        row.append(0)

    matrix.append(row)

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OPTIMIZATION FOR PYTHON: TIP 2 - 4

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

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import module_1, module_2, module_3, etc...

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3 - When importing everything from a module use *:

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from random import *

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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

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

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from random import randint, choice

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