How to convert python code to matlab

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import random
from operator import itemgetter
POWER_PER_MOVE_UNIT = 0.2
LOCALIZATION_COST = 0.3
def generate_nodes(nr_of_nodes):
  return [{'nr': i, 'power': random.uniform(0, 25)} for i in range(nr_of_nodes)]
def generate_distances(nodes):
  return [random.randint(1, 10) for _ in range(0, len(nodes) - 1)]
nodes = generate_nodes(10)
Nd = generate_distances(nodes)
print("NODES", nodes)
print("Distances", Nd)
def get_power(previous_power): 
  return previous_power - random.uniform(0.1, 1)
def explore(mcr, nodes):
  vNodes = []
  v = []
  C = 0
  power = mcr
  for i, node in enumerate(nodes):
    power = get_power(power)
    hp = mcr - power
    v, C, l = charge(vNodes, power - hp)
    power = power - C - hp
    if can_visit_more_nodes(power, i):
      vNodes.append(node)
    else:
      break
  print("V NODES", vNodes)
  print("POWER", power)
def charge(vNodes, power):
  sNodes = sorted(vNodes, key=lambda k: k['power'])
  v = []
  v1 = []
  C = 0
  l = 0
  for i, node in enumerate(sNodes[:-2]):
    sPower = node['power']
    tPower = sNodes[i+1]['power']
    v1.append(node)
    needed_power = LOCALIZATION_COST + (tPower - sPower) * (1 + len(v1))
    if power > needed_power:
      v = v1
      C = C + needed_power
      l = tPower
    else:
      return v, C, l
  return v, C, l
def can_visit_more_nodes(power, i):
  if power >= 2 * Nd[i] * POWER_PER_MOVE_UNIT:
    return True
  else:
    return False
explore(500, nodes)