Python Data Science: Pandas and NumPy Essentials
Master data manipulation with Pandas and NumPy. Analyze data efficiently in Python. NumPy Basics import numpy as np arr = np.array([1, 2, 3, 4, 5]) arr.mean() # 3.0 arr.std() # 1.414 Pandas DataFrames import pandas as pd df = pd.read_csv(‘data.csv’) df.head() df.describe() Data Cleaning df.dropna() df.fillna(0) df[‘column’].str.lower() Conclusion Pandas and NumPy are essential for data … Read more