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May 11, 2016
You probably don't remember, but back on this day in 868 the oldest known dated, printed book was produced in China. 1,148 years ago.
And guess what? Despite the allure and convenience of ebooks, we still print and enjoy paper books. We'll keep making them.
Working with Python, and need a one-stop solution for essential data science and analysis? New this week in beta: Data Science Essentials in Python: Collect → Organize → Explore → Predict → Value, now available from pragprog.com/book/dzpyds.
Also this week: you’ve got a great idea for an Apple Watch app. But how do you get your app from idea to wrist? Developing for Apple Watch, Second Edition: Create Native watchOS Apps with the WatchKit SDK shows you how, now in print — on real paper — and shipping from pragprog.com/book/jkwatch2.
Data Science Essentials in Python: Collect → Organize → Explore → Predict → Value
Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data.
This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data. Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume.
Keep this handy quick guide at your side whether you're a student, an entry-level data science professional converting from R to Python, or a seasoned Python developer who doesn't want to memorize every function and option.
Now available in beta from pragprog.com/book/dzpyds.
Developing for Apple Watch, Second Edition: Create Native watchOS Apps with the WatchKit SDK
On Apple Watch, your app is right on your users’ wrists, making your code closer than ever before. Create native watchOS apps by extending your iPhone app with a WatchKit Extension, giving your users quick access to your app’s most important features and an intimate user experience that’s always within arm’s reach.
You won’t just be creating apps—with Glances to provide timely information, notifications to inform your users of the latest updates, and watch face complications to show your users data as soon as they raise their wrists, your watchOS apps will be the best the App Store has to offer.
Any book can teach you how to make a watch app. This book will help focus your efforts and refine your app’s feature set. Which features make sense on the watch? How should you organize them? You’ll learn what to consider when judging watch app features, allowing you to come up with the best strategy for your app. You’ll test your apps on real Apple Watch hardware, and by the end of this book, you’ll be ready to ship to the App Store.
Now available from pragprog.com/book/jkwatch2.
Did You Know?
We publish books across a range of technologies for folks at different levels of abilities, all the way from novice to expert. If you haven't browsed all of our titles recently, come take a look:
Elixir • Agile Practices • Android, iPhone, and Mobile Programming • Career
Development • Cool Things for Smart People • DIY & Hardware •
For Beginners • Gaming • Java and JVM Languages • Mac, iPhone,
and iPad Programming • Pragmatic exPress • Ruby and Rails •
Testing, Design, and Cloud Computing • Tools, Frameworks, Languages
• Web 2.0+
Come check out all our categories at pragprog.com/categories
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