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Manning Publications

Slideshare: Making Better Apps with GraphQL and Apollo


slideshare-making-better-apps-with-graphql-and-apollo

From Learning Clientside GraphQL with Apollo
By Azat Mardan

PyTorch Crash Course, Part 3

From Deep Learning with PyTorch

by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.

What do Cooking Pasta and Data Science Have in Common?

From Data Science at Scale with Python and Dask by Jesse C. Daniel

This article discusses Dask, how it compares to Apache Spark, and how to create and understand directed acyclic graphs using the example of the delicious Italian pasta dish bucatini all’Amatriciana.

S.A.M. Uses Machine Learning Services Hosted on AWS to Predict Crime

From AWS Machine Learning in Motion
sam_AWS_mm

By Kesha Williams

Testing Events in Vue.js, Part 1

From Testing Vue.js Applications by Edd Yerburgh

Part 1 covers:

  • Testing native DOM events
  • Testing custom Vue events

Running Containers: tricks of the trade

From Docker in Practice, Second Edition by Ian Miell and Aidan Hobson Sayers

This article dives into running containers. If you’re interested in learning some practical techniques that might not be obvious, read on!

PyTorch Crash Course, Part 2

From Deep Learning with PyTorch by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing with pre-trained networks.

Learn to Program!


slideshare-learn-to-program

From Get Programming with Python in Motion
By Ana Bell

A Practice-Oriented Approach to Data Science


slideshare-a-practice-oriented-approach-to-data-science

From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount

CSS and Components: a winning match


slideshare-css-and-components-a-winning-match

From CSS in JavaScript
By Dustin Schau

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