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A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

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Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

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We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

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The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

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We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

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Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

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Amazon verified reviews

Karthik Rajashekaran Jul 25, 2024

An In-Depth and Practical Resource for Snowpark EnthusiastsI recently had the opportunity to dive into "The Ultimate Guide to Snowpark: Design and deploy Snowpark with Python for efficient data workloads," and it has proven to be an invaluable resource for both beginners and seasoned professionals working with Snowflake's Snowpark. This book is a comprehensive guide that effectively bridges the gap between theoretical knowledge and practical implementation.Content and Structure:The book is well-structured, starting with the basics of Snowpark and gradually advancing to more complex topics.Technical Accuracy:The book excels in its technical accuracy. Each chapter is meticulously written, ensuring that the information is up-to-date with the latest version of Snowpark and Python. The authors have done an excellent job of explaining complex concepts in a clear and concise manner, making it easy for readers to follow along and apply the knowledge to their projects.Hands-On Approach:One of the standout features of this book is its hands-on approach. The numerous code snippets and practical examples provide readers with the opportunity to practice and experiment with Snowpark. The step-by-step tutorials are particularly useful for those who learn by doing. By the end of the book, readers will have built several projects that showcase the power and flexibility of Snowpark.Integration with Python:The integration of Snowpark with Python is one of the book's main highlights. It covers the nuances of using Python for data workloads within the Snowpark environment, including tips on optimizing performance and writing efficient code. The book also touches on common pitfalls and how to avoid them, which is invaluable for anyone looking to use Snowpark in a production environment.Final Thoughts:"The Ultimate Guide to Snowpark" is a must-have for anyone looking to harness the power of Snowflake's Snowpark for their data processing needs. Whether you're a data engineer, data scientist, or a developer, this book provides the knowledge and tools needed to design and deploy efficient data workloads using Python and Snowpark. It’s a comprehensive guide that balances theory with practical application, making it an essential addition to your technical library.Highly recommended for anyone serious about mastering Snowpark and taking their data processing skills to the next level.

Amazon Verified review

Vinoth Nageshwaran Aug 01, 2024

The Ultimate Guide to Snowpark" is an outstanding resource for anyone looking to master Snowpark's capabilities within the Snowflake environment. The book is meticulously crafted, balancing foundational knowledge with advanced techniques, and it is filled with practical examples and code snippets that make learning engaging and effective. It's an indispensable tool for data engineers, data scientists, and developers aiming to leverage Snowpark for scalable and efficient data workloads

JW Jun 13, 2024

A Comprehensive Guide to Mastering SnowparkIf you’re looking to dive deep into Snowpark, “The Ultimate Guide to Snowpark” by Shankar Narayanan SGS and Vivekanandan Srinivasan is the perfect resource. This book offers detailed insights and practical examples that make it indispensable for data engineers and data scientists.The authors cover a wide range of topics, from setting up the development environment to building robust data pipelines and developing data science projects. Each chapter is meticulously crafted, providing clear explanations and hands-on guidance.One of the standout features is the thorough coverage of Snowpark’s capabilities, including data processing, machine learning data management, and even developing native applications. Shankar’s technical expertise and Vivekanandan’s machine learning background shine through, making complex concepts accessible and actionable.Whether you’re new to Snowpark or looking to enhance your skills, this book and the associated Git Repository is an invaluable asset. Highly recommended for anyone serious about leveraging Snowpark within Snowflake.

Jay Jul 12, 2024

Excellent resource covering all essential aspects of Snowflake Snowpark clearly and concisely. The practical examples and insightful explanations make it accessible to both beginners and experienced practitioners. If you're serious about Snowflake Snowpark, this book📘 is for you!

yoganath Jun 07, 2024

Highly recommended! What I really liked about this book is that it not only explains the theoretical concepts of Snowflake but also provides practical examples and code snippets for configuration and coding styles. It helped me understand how to perform complex data tasks without moving data and optimize overall performance by reducing latency. An invaluable resource for data engineers and scientists.

The Ultimate Guide to Snowpark: Design and deploy Snowflake Snowpark with Python for efficient data workloads

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