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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

Jacob Silva Mar 07, 2024

Great book! It quickly teaches a beginner about graph data with easy-to-understand content, hands-on exercises, and provided source code. Then, it touches on advanced topics like projections on graph data. I am happy we picked this book for our Tech Book Club

Amazon Verified review

Amanda Fetch Sep 26, 2023

As someone who is currently working with a knowledge graph based solution within an organization, it is imperative that I find solid resources to cover both the basics and more advanced concepts of graph data modeling. "Graph Data Modeling in Python" starts with the basics of graph structures and their real-world applications, then the book systematically covers practical use-cases from making recommendations using Python to designing complex pipelines with Neo4j and Cypher. Its in-depth coverage on transforming relational databases to graph databases, building knowledge graphs, and addressing common errors I found very useful. A perfect blend of theory and hands-on examples makes it an indispensable resource for anyone venturing into the world of graph databases. Highly recommended for both beginners and seasoned professionals!

SEAN W. GRANT Aug 18, 2023

This was a good book to read that helped in understanding how to build a graph from various sources (rdbms tables, NLP outputs). It showed how you can use some common python libraries (NLTK, Spacy) to process some data and create a graph from it. There were a couple chapters that I especially liked: Chapter 4 and 7.Chapter 4- Building Knowledge Graphs: Author does a great job of explaining what a knowledge graph is, how to design one and then walk through how to build one. Knowledge graphs are becoming a popular topic and structure that businesses are using to provide better understanding and this chapter will help you understand how you can start looking at your data to build a knowledge graph.Chapter 7-Refactoring and Evolving Schemas: I found this to be a great explanation of power of the graph database and how it can adjust fast to your needs without causing a problem with live data. The hands-on examples were great at showing how easy it is to change the schema in the Neo4j database.Overall this was a great book for getting your hands dirty on designing, understand and building graphs that will help you think about how connected data really is.

Jacob Vandergriff Sep 28, 2023

Graph Data Modeling in Python provides a great introduction for those familiar with python and relational databases.The flow from relational databases, to python graph modeling, to scaling up to Neo4j databases was exceptional and can get any beginner to a graph developer.

Om S Jul 05, 2023

The book begins by highlighting the growing importance of graphs in our daily lives, driving various applications such as social media, recommendation systems, and fraud detection. Readers are introduced to the benefits of graph data models, which enhance efficiency and uncover hidden insights through complex network analysis.With a focus on practical use cases, readers learn how to design optimal graph models capable of supporting a wide range of queries and features. The transition from traditional relational databases to dynamic graph data structures is seamlessly addressed, empowering readers to unlock the power of path-based analyses. The book also covers working with Neo4j for persistent graph database management.By the end of the book, readers will possess the skills to transform tabular data into powerful graph data models, ranging from beginner to advanced-level proficiency. They will have a deep understanding of schema design best practices, proficiency in NetworkX and igraph frameworks, and the ability to store, query, ingest, and refactor graph data."Graph Data Modeling in Python: A Practical Guide to Curating, Analyzing, and Modeling Data with Graphs" is a must-read for those interested in graph databases and data modeling. The book caters to individuals with prior knowledge of Python, while also being accessible to beginners in graph data modeling. Its practical approach, real-world examples, and coverage of common errors and debugging make it an essential companion for those looking to extract valuable insights from graph data.

Graph Data Modeling in Python: A practical guide to curating, analyzing, and modeling data with graphs

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