Browsing: Python

Syntax: numpy.arange([start, ]stop, [step, ]dtype=None) Example: import numpy as np # Create array from 0 to 9 arr = np.arange(10)…

from datetime import datetime # Get current date and time now = datetime.now() print(now) # 2026-01-25 14:30:45.123456 # Create a…

import pandas as pd df = pd.DataFrame({ ‘product’: [‘Laptop’, ‘Mouse’, ‘Laptop’, ‘Keyboard’, ‘Mouse’], ‘region’: [‘North’, ‘North’, ‘South’, ‘North’, ‘South’], ‘sales’:…

import numpy as np # Create 5 evenly spaced values between 0 and 10 result = np.linspace(0, 10, 5) print(result)…

# Syntax result = condition1 and condition2 # Example age = 25 has_license = True can_drive = age >= 18…

# Syntax map(function, iterable1, iterable2, …) # Example: Square each number in a list numbers = [1, 2, 3, 4,…

sorted(iterable, key=None, reverse=False) # Basic example numbers = [5, 2, 8, 1, 9] result = sorted(numbers) print(result) # [1, 2,…

# Basic list comprehension syntax new_list = [expression for item in iterable] # Example: Square each number in a list…

# Syntax element in sequence element not in sequence # Example fruits = [‘apple’, ‘banana’, ‘orange’] print(‘apple’ in fruits) #…

import pandas as pd df = pd.read_csv(‘data.csv’) print(df.head()) That single line reads your CSV file and automatically detects the header…