Python for Data Analysis

Introduction to Python for Data Analysis

Python has become the reference language for data analysis and data science. In this post, I’ll share how I use Python for market data analysis.

Essential Libraries

• Pandas: Data manipulation and analysis
• NumPy: Numerical computing
• Matplotlib: Data visualization
• Scikit-learn: Machine Learning

Practical Example

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Load market data
df = pd.read_csv('market_data.csv')

# Basic analysis
print(df.describe())

# Visualization
plt.figure(figsize=(12, 6))
plt.plot(df['Date'], df['Close'])
plt.title('Price Movement')
plt.show()

This combination of tools makes Python extremely powerful for data analysis in any field, especially in financial markets.

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