Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re...
Deep Learning Cookbook: Practical Recipes to Get Started Quickly
Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,...
Full-Stack Web Development with Vue.js and Node: Build scalable and powerful web apps with modern web stack: MongoDB, Vue, Node.js, and Express
Bring the frontend and backend together with Vue, Vuex, and Node.js
Construct modern web applications with Node 10, Express.js, MongoDB, and Vue
Leverage the latest web standards to increase code performance, readability, and cross-compatibility
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