from collections import Counter

a = Counter("Hello there, How are you")

a

Counter({' ': 4,
         ',': 1,
         'H': 2,
         'a': 1,
         'e': 4,
         'h': 1,
         'l': 2,
         'o': 3,
         'r': 2,
         't': 1,
         'u': 1,
         'w': 1,
         'y …

import tempfile

fp = tempfile.TemporaryFile()

fp.name

55

fp.write(b'Hey Toronto')

11

fp.seek(0)

0

fp.read()

b'Hey Toronto'

# Close the file

fp.close()

import time
import random as rd

team_1_score = 0
team_2_score = 0

def play_over(over, t_score):

    print('Over ', over)

    for x in range(6):

        score = rd.randint(0, 6)
        t_score += score
        print('Ball ', (x+1), score …

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]'

print(pyu.ps2("haystack-ai ollama-haystack python-dotenv"))

haystack-ai==2.8.0
ollama-haystack is not installed in the current environment.
python-dotenv==0.21.0

import pandas as pd …

import numpy as np
import pandas as pd

csv = pd.DataFrame.from_csv('uk-500.csv')

/Users/rajacsp/anaconda3/envs/py36/lib/python3.6/site-packages/ipykernel_launcher.py:1: FutureWarning: from_csv is deprecated. Please use read_csv(...) instead. Note that …

import numpy as np
import pandas as pd

df = pd.read_csv('https://s3-eu-west-1.amazonaws.com/shanebucket/downloads/uk-500.csv')

df

import duckdb

# Create a new DuckDB database file
db_path = 'student_duck1.db'
con = duckdb.connect(database=db_path, read_only=False)

# Verify the connection
print(f"Connected to DuckDB database at {db_path}")

Connected to DuckDB database at student_duck1.db

# Path to your CSV file
csv_file_path = '../dataset/student_data.csv'

# Load the CSV file into …

import numpy as np
import matplotlib.pyplot as plt

data = np.loadtxt('random_timestamp.txt')

print(data)

# Choose how many bins you want here
num_bins = 20

# Use the histogram function to bin the data
counts, bin_edges …

import numpy as np
import matplotlib.pyplot as plt

data = np.loadtxt('random_timestamp.txt')

print(data)

sorted_data = np.sort(data)

yvals=np.arange(len(sorted_data))/float(len(sorted_data)-1)

plt.plot(sorted_data,yvals)

plt …

import os

dirpath = os.getcwd()
print("current directory is : " + dirpath)

current directory is : /Users/rajacsp/projects/mlnotes/content/python/basics

foldername = os.path.basename(dirpath)
print("Directory name is : " + foldername)

Directory name is : basics

scriptpath = os …