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 science!