PacktPublishing/Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
This is a practical guide for anyone who works with data that changes over time, like sales figures, sensor readings, or stock prices. It shows you how to bring in this data, clean it up, find unusual patterns, and make predictions about the future. You'll learn how to analyze trends and seasonality to forecast what might happen next, even with complex, noisy data.
288 stars.
Use this if you need to analyze historical data points collected over time, identify anomalies, or forecast future values in fields like finance, operations, or scientific research.
Not ideal if you are looking for a conceptual textbook on time series theory rather than practical, code-focused solutions.
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288
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179
Language
Jupyter Notebook
License
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Last pushed
Mar 02, 2026
Commits (30d)
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