---
product_id: 683486241
title: "Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas"
price: "NT$4733"
currency: TWD
in_stock: true
reviews_count: 5
url: https://www.desertcart.tw/products/683486241-modern-time-series-forecasting-with-python-industry-ready-machine-learning
store_origin: TW
region: Taiwan
---

# Python-powered insights 2024 cutting-edge release ML & Deep Learning focus Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

**Price:** NT$4733
**Availability:** ✅ In Stock

## Summary

> 📈 Forecast the future, lead the market!

## Quick Answers

- **What is this?** Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
- **How much does it cost?** NT$4733 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.tw](https://www.desertcart.tw/products/683486241-modern-time-series-forecasting-with-python-industry-ready-machine-learning)

## Best For

- Customers looking for quality international products

## Why This Product

- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Key Features

- • **Latest 2024 Edition:** Stay ahead with the freshest insights and tools in time series analysis.
- • **Hands-On Python Approach:** Learn by doing with real-world examples and code to boost your forecasting skills.
- • **Industry-Ready Forecasting:** Master time series with practical ML & deep learning techniques using PyTorch and pandas.
- • **Comprehensive & Authoritative:** One of the top references in the field, trusted by professionals worldwide.
- • **Perfect for Managers & Analysts:** Equip yourself with data-driven forecasting to make smarter business decisions.

## Overview

Modern Time Series Forecasting with Python is a 2024 paperback guide that equips professionals with industry-ready machine learning and deep learning techniques for time series analysis using PyTorch and pandas. Highly rated and recognized as a top resource, it blends practical coding with advanced forecasting strategies to empower data-driven decision-making.

## Description

Buy Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas by Joseph, Manu, Tackes, Jeffrey online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: The most comprehensive book on time series forecasting
Review: Must have ! - C'est une des deux ou trois références dans le domaine. Must have!

## Features

- Binding: paperback
- Language: english
- Manufacturer: Packt Publishing
- Brand: Packt
- Publication date: 2024-10-31T00:00:00.000Z

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #315,622 in Books ( See Top 100 in Books ) #161 in Business Planning & Forecasting #555 in Web Programming #914 in Computer Programming Languages |
| Customer Reviews | 4.5 out of 5 stars 21 Reviews |

## Images

![Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Image 1](https://m.media-amazon.com/images/I/71j6nayIj2L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ The most comprehensive book on time series forecasting
*by Z***B on 17 April 2025*



### ⭐⭐⭐⭐⭐ Must have !
*by G***M on 24 October 2025*

C'est une des deux ou trois références dans le domaine. Must have!

### ⭐⭐⭐⭐ Good Book for Time Series Concepts
*by A***D on 29 March 2025*



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**Shop now:** [https://www.desertcart.tw/products/683486241-modern-time-series-forecasting-with-python-industry-ready-machine-learning](https://www.desertcart.tw/products/683486241-modern-time-series-forecasting-with-python-industry-ready-machine-learning)

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*Product available on Desertcart Taiwan*
*Store origin: TW*
*Last updated: 2026-03-25*