import numpy as np
import pandas as pd

ds = pd.Series([1, np.nan, 3, 4, 5])

ds

0    1.0
1    NaN
2    3.0
3    4.0
4    5.0
dtype: float64

# ds = ds.astype('int …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml312-2024; pyv: 3.12.7 | packaged by Anaconda, Inc. | (main, Oct  4 2024, 13:27:36) [GCC 11.2.0]'

# will be used in MyWalks
# https://docs.google.com/spreadsheets/d/1WZOx71Pg7Id_dd6wLRDQbmS8ZDaRdkMQIwltM6vFTX8/edit?gid=0#gid=0

from datetime import datetime …

import datetime

now = datetime.datetime.now()

print(now.year)

2019

print (now.strftime("%y"))

19

print (now.strftime("%d"))

21

print (now.strftime("%m"))

04

print(datetime.datetime.today())

2019-04-21 18:34:57.280555

cur_date = datetime …

import pydotplus
from sklearn.datasets import load_iris
from sklearn import tree
import collections

# Data Collection
#heigh, length of hair, voice pitch
X = [ [180, 15,0],     
      [177, 42,0],
      [136, 35,1],
      [174, 65,0],
      [141, 28,1 …

from sklearn import tree

X = [[0, 0], [2, 2]]
y = [0.5, 2.5]

clf = tree.DecisionTreeRegressor()
clf = clf.fit(X, y)

predicted = clf.predict([[1, 1]])

print(predicted)

[0.5]

import numpy as np
from sklearn.tree import DecisionTreeRegressor
import matplotlib.pyplot as plt

# Create a random dataset
rng = np.random.RandomState(1)
X = np.sort(5 * rng.rand(80, 1), axis=0)
y = np …

def rangetest(*argchecks):                  # validate positional arg ranges
    def onDecorator(func):
        def onCall(*args):
            print('argchecks : '+str(argchecks))
            for (ix, low, high) in argchecks:
                print('ix : '+str(ix))
                if args[ix] < low or args[ix] > high:
                    errmsg = 'Argument …

class my_decorator(object):

    def __init__(self, f):
        print("inside my_decorator.__init__()")
        f() # Prove that function definition has completed

    def __call__(self):
        print("inside my_decorator.__call__()")

@my_decorator
def aFunction():
    print("inside aFunction()")

inside my_decorator.__init__()
inside aFunction()

print …

import pyutil as pyu
pyu.get_local_pyinfo()

'conda env: ml311; pyv: 3.11.10 (main, Oct  3 2024, 07:29:13) [GCC 11.2.0]'

# !pip install deep-translator

print(pyu.ps2("deep-translator faker"))

deep-translator==1.11.4
faker==33.1.0

from deep_translator import GoogleTranslator

# Your contents
contents = [
    "Hello, how are …

from collections import defaultdict

user = defaultdict(lambda: 'Kevin')

user

defaultdict(<function __main__.<lambda>>, {})

type(user)

collections.defaultdict

user['abc']

'Kevin'

user['country']

'Kevin'

user['name'] = 'Peter'
user['age'] = 21 …