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What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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Amazon verified reviews

Amudhan Jul 09, 2024

I recently purchased "Building Statistical Models in Python" by Dr. Jane Smith, and I have to say, it’s one of the best investments I’ve made in my journey to becoming a data scientist.Content and StructureThe book is exceptionally well-organized, beginning with fundamental concepts and gradually progressing to more complex topics. Dr. Smith does an excellent job of explaining the theory behind statistical models before diving into practical implementation using Python. This approach ensures that readers not only know how to use the tools but also understand the reasoning behind them.Practical Examples and ExercisesOne of the standout features of this book is the plethora of practical examples and exercises. Each chapter includes detailed code snippets and real-world datasets, allowing readers to apply what they've learned immediately. The exercises at the end of each chapter reinforce key concepts and challenge readers to think critically and creatively.Clarity and AccessibilityDr. Smith’s writing style is clear and engaging. She has a knack for breaking down complex concepts into digestible pieces. Even if you're new to statistics or Python, you’ll find her explanations easy to follow. The book strikes a perfect balance between being thorough and accessible, making it suitable for both beginners and those looking to deepen their knowledge.Comprehensive CoverageThe book covers a wide range of topics, including:Linear and logistic regressionTime series analysisBayesian statisticsMachine learning modelsModel evaluation and validationEach topic is explored in depth, with plenty of visual aids such as graphs and charts to illustrate key points. The inclusion of advanced topics like Bayesian statistics and machine learning makes this book a valuable resource even for seasoned data scientists.Supportive ResourcesAnother great aspect of this book is the supplementary resources. Dr. Smith provides access to an online repository containing all the datasets and Python scripts used in the book. This is incredibly helpful for readers who want to experiment with the code or apply the models to their own data.Final ThoughtsOverall, "Building Statistical Models in Python" is a must-have for anyone serious about data science. Whether you’re a student, a professional looking to switch careers, or a data enthusiast, this book offers invaluable insights and practical skills. Dr. Jane Smith has created a comprehensive, accessible, and engaging guide that will undoubtedly become a go-to reference for many aspiring data scientists.Highly recommended!

Amazon Verified review

John Montalbo Oct 02, 2023

This book is a nice addition to your professional library.From basic descriptive statistics, to machine learning algorithms, this text covers a great deal of topics. And the authors cover each topic first at a foundational level while pairing most examples and discussion with accompanied Python code and visualizations.This is a great reference guide and is well structured and presented in an engaging manner.

Sangita Mahala Oct 16, 2023

Building Statistical Models in Python is a comprehensive and practical guide to build statistical models in Python. From the fundamentals of probability and statistics to more complex subjects like machine learning and time series analysis, the book covers a wide range of subjects. If you are looking for a book that will teach you how to build powerful statistical models to solve real-world problems, then Building Statistical Models in Python is the book for you.

Alisha Pillay Oct 25, 2023

The book has a very detailed and must have techniques that any data scientist would need. It builds from ground up providing the statistical theory behind the algorithms. covers a wide range of algorithms for supervised, unsupervised and time series.

Dror Oct 01, 2023

Statistics is a fundamental discipline concerned with the collection, organization, analysis, interpretation, and presentation of data. While Python—an extremely popular general-purpose programming language—has become the programming language of choice for computation in most science and engineering disciplines, most (software-oriented) statistics books still teach statistics using the more special-purpose R language.This unique and highly practical book provides a gentle introduction to statistics and to using the Python programming language for building statistical models. It begins with a clear and useful introduction to statistics, including sampling, data distributions, hypothesis testing, and parametric and non-parametric statistical tests. It then progresses to describe in detail how to build statistical models using Python for a variety of problems, including for regression, classification, time-series, and survival analysis. The descriptions are clear and concise, and gradually present additional common and helpful Python packages for performing statistical analysis. The accompanying GitHub repository includes practical and detailed code examples, and is very helpful in reinforcing the materials and concepts presented in the book.I highly recommend this book to anyone interested in learning statistics and how to use Python for building statistical models. It requires no more than basic knowledge of the Python programming language, and will be ideal for data scientists, analysts, and industry professionals who are taking their first steps in the world of statistics or want to expand their knowledge in this area.Highly recommended!

Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis

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