CONCEPTS
01NumPy arrays and operations
02Array indexing and slicing
03Pandas Series and DataFrames
04Reading data (read_csv)
05Data filtering and selection
06Grouping and aggregation
SYNTAX_DEMO
Data science toolbox
import numpy as np
import pandas as pd
# NumPy Array
arr = np.array([1, 2, 3, 4, 5])
print("Mean:", np.mean(arr))
# Pandas DataFrame
data = {
"Name": ["Alice", "Bob", "Charlie"],
"Age": [25, 30, 35],
"Salary": [50000, 60000, 70000]
}
df = pd.DataFrame(data)
print(df[df["Age"] > 25])