
"Time Series Forecasting in Python Paperback" by Marco Peixeiro

It includes both traditional methods and Deep Learning using Python.
https://amzn.to/3EBayyN
"Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods" by Ben Auffarth

Includes Machine Learning, Deep Learning and Reinforcement Learning approaches. All in Python.
https://amzn.to/3tWtQK9
"Time Series Analysis with Python Cookbook: Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation" by T.A. Atwan

Well structured and explains traditional and ML/DL methods. +Focus on data manipulation.
https://amzn.to/3Vl4aCE
"Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebookβs Prophet, and Amazonβs DeepAR" by J. Korstanje

In-depth cover of traditional, ML and DL approaches. All in Python.
https://amzn.to/3V2avDe
"Machine Learning for Time Series Forecasting with Python" by Francesca Lazzeri

Covers the whole process. Totally recommended!
https://amzn.to/3i2pBKm