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By clicking "Activate Account,” you confirm that you have read and agree to the terms and conditions of our Membership Agreement and that when your complimentary membership ends, you will be required to provide billing information if you wish to continue using this service. Title: Learning Python, 5th Edition. Author (s): Mark Lutz. Release date: June 2013. Publisher (s): O'Reilly Media, Inc. ISBN: 9781449355739. Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly …. O’Reilly content sponsorship For over 10 years, O’Reilly has delivered lead gen and thought leadership for hundreds of tech’s most prominent companies. We’re in a unique position to match your current marketing initiatives with the right technical content to get your brand and products in front of key decision makers—and get results fast. Download the O’Reilly App. Take O’Reilly with you and learn anywhere, anytime on your phone and tablet. For more than 45 years, O’Reilly has imparted the world-shaping ideas of innovators through books, articles, conferences, and our online learning platform. ... the early release is available on ... See how O’Reilly can help your tech teams stay ahead. Request a demo Try it free. Gain technology and business knowledge and hone your skills with learning resources created and curated by O'Reilly's experts: live online training, video, books, our platform has content from 200+ of the world's best publishers. See the O’Reilly learning platform in action. O’Reilly has been sharing the knowledge of innovators to help tech teams for over 40 years. But we also offer droves of content to help with project management, leadership training, and …

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Product information. Title: Inside Deep Learning. Author (s): Edward Raff. Release date: June 2022. Publisher (s): Manning Publications. ISBN: 9781617298639. Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement ….

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