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Third-Party Packages

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Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Third-Party Packages.
Covers the basics of third-party packages, including how to find, install, and use them. It also discusses best practices for using third-party packages in your own projects.
This highly-rated book covers all aspects of R programming, including working with third-party packages.
This widely-used book provides a comprehensive guide to machine learning with Python and scikit-learn, a popular third-party library.
This intermediate-level book provides a detailed overview of finding, using, and contributing to third-party packages in R.
This popular book teaches deep learning with Python and Keras, a high-level neural networks API.
This practical book provides a comprehensive guide to using the Anaconda distribution, which includes a collection of third-party packages for data science.
Discusses the use of third-party packages in cloud computing environments. It covers topics such as package management, security, and best practices.
Focuses on the security implications of using third-party packages. It covers topics such as vulnerability management, supply chain attacks, and best practices for secure third-party package usage.
Dives deep into the development of third-party packages, covering topics such as packaging, versioning, and distribution. It valuable resource for anyone who wants to learn more about the process of creating and maintaining third-party packages.
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