--- product_id: 639359008 title: "Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024" brand: "sulekha aloorravi" price: "284 Lei" currency: RON in_stock: true reviews_count: 1 url: https://www.desertcart.ro/products/639359008-mastering-time-series-analysis-and-forecasting-with-python-bridging-theory store_origin: RO region: Romania --- # Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024 **Brand:** sulekha aloorravi **Price:** 284 Lei **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024 by sulekha aloorravi - **How much does it cost?** 284 Lei with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.ro](https://www.desertcart.ro/products/639359008-mastering-time-series-analysis-and-forecasting-with-python-bridging-theory) ## Best For - sulekha aloorravi enthusiasts ## Why This Product - Trusted sulekha aloorravi brand quality - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Full description not available ## Images ![Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024 - Image 1](https://m.media-amazon.com/images/I/71OGuzmUV1L.jpg) ![Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024 - Image 2](https://m.media-amazon.com/images/I/81cJDezY33L.jpg) ![Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python (English Edition) Paperback – 26 Mar. 2024 - Image 3](https://m.media-amazon.com/images/I/81ebMFHOHEL.jpg) ## Customer Reviews ### ⭐ For a book supposed to bridge theory and practice there is ZERO theory - avoid *by C***R on 6 August 2024* I don't normally write reviews but if i can save someone else spending £30 on this book then i have to.I got this book to prepare myself for my first time series project in work after completing a module on the subject at university a few years ago. There are lots of things wrong with this book, here are a few:* There are many plots in the book, in the printed version they are in black and white which means you cannot tell lines apart. Even in colour with the removal of legends before plotting this would be tough to see.* There is no discussion after the plots AT ALL other than saying this plot can be used to drive domain-specific decisions. How? In what way? What am i looking at and why will it help me?* Each section in the book is a paragraph of the most high level discussion imaginable on the topic, with no theory, no maths, nothing to give actual knowledge or understanding of why you are creating features for example. After the paragraph there is usually a single example in Python with no analysis of the output and how it is beneficial.* A lot of the text feels like it is written by AI with excessive use of words like delve* The author chooses values of p, d, and q for the ARIMA models without telling us why those values.* There are full pages dedicated to listing every single parameter in a function.* In the deep learning chapter there is no discussion on what an optimiser is, what the learning rate is etc.* There is so much repetition in the book, from code blocks, to definitions of things like lags.* Lots of unnecessary code output.* The evaluation metrics are formally defined on page 296 out of 298 despite being used loads of times.From about page 200 the author actually starts discussing the outputs, model metrics and the plots. If they had done this throughout the whole book it would be getting a much higher rating. For example MSE, RMSE and MAE had been discussed numerous times without a thorough explanation of what they are and what the specific output values imply, then on page 210 there in a really in-depth discussion on this. Why was this not done throughout the whole book? Even this positive is dampened by the further discussions being copy and pastes with only the values altered.In summary, if you want to know theory or want an in-depth discussion on methods relating to time series then this is not the book for you. This book showed me a lot of different methods but that could've been done with a google search and a look at documentation. ## Frequently Bought Together - Mastering Time Series Analysis and Forecasting with Python: Bridging Theory and Practice Through Insights, Techniques, and Tools for Effective Time Series Analysis in Python - Deep Learning for Time Series Cookbook --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.ro/products/639359008-mastering-time-series-analysis-and-forecasting-with-python-bridging-theory](https://www.desertcart.ro/products/639359008-mastering-time-series-analysis-and-forecasting-with-python-bridging-theory) --- *Product available on Desertcart Romania* *Store origin: RO* *Last updated: 2026-04-30*