Wydawca: Packt Publishing
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals. Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools. As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide

Rohan Chopra, Aniruddha M. Godbole, Nipun Sadvilkar, Muzaffar Bashir Shah, ...

Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense

Hannu Ranta

Embedded Linux Projects Using Yocto Project Cookbook. Over 70 hands-on recipes for professional embedded Linux developers to optimize and boost their Yocto know-how

Alex Gonzalez

Oracle E-Business Suite 12 Financials Cookbook. Take the hard work out of your daily interactions with E-Business Suite financials by using the 50+ recipes from this cookbook

Yemi Onigbode

Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development

Siddharta Govindaraj

Apache Solr for Indexing Data. Enhance your Solr indexing experience with advanced techniques and the built-in functionalities available in Apache Solr

Anshul Johri, Sachin Handiekar

Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

Hari Manassery Koduvely

Google Workspace User Guide. A practical guide to using Google Workspace apps efficiently while integrating them with your data

Balaji Iyer, Abhi Jeevaganambi