syphh

import numpy as np
import matplotlib.pyplot as plt


def midpoint(p1, p2):
    x1, y1 = p1
    x2, y2 = p2
    return (x1+x2)/2, (y1+y2)/2

syphh

import numpy as np

def approximate_pi(n):
    points = np.random.uniform(-1, 1, (n, 2))
    inside = np.sum(points[:,0]**2+points[:,1]**2 <= 1)
    k = inside/n
    return 4*k


n = 1000000

syphh

from typing import List, Any

class Node:
    def __init__(self, key, value, nxt=None):
        self.key: str = key
        self.value: Any = value
        self.nxt: Node = nxt
        

class LinkedList:

syphh

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


def update_annot(ind):
    pos = sc.get_offsets()[ind["ind"][0]]
    annot.xy = pos
    attributes_to_show = [0, 1, 2, 7]
    text = df.iloc[ind["ind"][0], attributes_to_show].to_string()

syphh

# 1st approach:
def kth_largest(arr, k):
    for i in range(k-1):
        arr.remove(max(arr))
    return max(arr)


# 2nd approach:
def kth_largest(arr, k):
    n = len(arr)

syphh

import pulp
import pandas as pd
import numpy as np

"""Example drivers.csv file:
driver_id,lat,lon
dr_1,10,20
dr_2,30,50
dr_3,50,40
dr_4,80,20