from bokeh.plotting import figure, output_file, show
from bokeh.io import output_notebook
from bokeh.models import ColumnDataSource

# Set Bokeh output to notebook
output_notebook()

import magicattr

class City:

    def __init__(self, name, country):
        self.name = name
        self.country = country

to = City('Toronto', 'Canada')
ch = City('Chennai', 'India')

print(to)

<__main__.City object at 0x10f2f8be0>

print(magicattr.get(to, 'country'))

Canada

import matplotlib.pyplot as plt; plt.rcdefaults()
import numpy as np
import matplotlib.pyplot as plt

objects = ('Male', 'Female')
y_pos = np.arange(2)
values = [10,8]

plt.bar(y_pos, values, width=0.12, align='center', alpha=0.2)
plt.xticks(y_pos, objects)
plt.ylabel('Usage')
plt.title('Male vs Female …

one = "Toronto is nice"

one

'Toronto is nice'

one_array = one.split(" ")

two = "It is nice to be in Toronto"

two_array = two.split(" ")

two_array

['It', 'is', 'nice', 'to', 'be', 'in', 'Toronto']

all(x in two for …

import numpy as np
import pandas as pd

df = pd.read_csv('abc.csv')

df

import numpy as np
import pandas as pd

df = pd.read_csv('abc.csv')

df

# TBD

# https://chatgpt.com/share/6767b5fc-cc44-8002-a0f1-68f486d27d9a

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 sacremoses

print(pyu.ps2("transformers torch sacremoses"))

transformers==4.47.0
torch==2.5.1
sacremoses==0.0.53 …

import io

s = "Toronto is awesome"

sio = io.StringIO(s)
print(sio.getvalue())

Toronto is awesome

sio.seek(11)
sio.write("Wonderful")

9

print(sio.getvalue())

Toronto is Wonderful