Our Newest MEAPs
Getting MEAN with
Mongo, Express, Angular, and Node » New MEAP. Shows you how
to benefit from the MEAN stack as you build your application, one layer at a
time, just as you'd do in a real project. You'll create the skeleton of your
site in Express and Node, add a MongoDB database, and roll out Angular to
handle data manipulation and application logic in the browser. When you
finish, you'll have all the skills--and code--you need to build a dynamic
data-driven web application. [read more]
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Storm Applied
» It's hard to handle data coming at you in a hard and fast stream. Apache
Storm reliably processes streams ranging from ordinary web traffic to the
millions of units per second churned out by giants like Twitter. This book
starts with a quick overview of Storm and real-time data processing and then
dives into the many day-to-day issues that separate a toy example from a
production-quality stream processing solution. [read more]
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Real-World Machine Learning » Without
overdosing you on academic theory and complex mathematics, this easy-to-read
tutorial shows you the practice of machine learning, so you can build and
deploy powerful predictive systems yourself. Using Python and R, you'll start
with data acquisition and modeling, classification, and clustering and move
through important ML tasks, like recommendations, predictions, and automated
decision-making. [read more]
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Git in Practice » Git is a version control
system designed to facilitate work among distributed teams. In this
instantly-useful book, you'll find more than 100 cookbook-style techniques,
each presented in a problem-solution-discussion format, covering key topics
like history visualization, advanced branching, and rewriting history. Along
the way, you'll push Git to its full potential through configuration, team
workflows, submodules and effective GitHub pull requests. [read more]
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