<p>Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them <i>from scratch</i>.</p> <p>If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out.</p> <ul> <li>Get a crash course in Python</li> <li>Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science</li> <li>Collect, explore, clean, munge, and manipulate data</li> <li>Dive into the fundamentals of machine learning</li> <li>Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering</li> <li>Explore recommender systems, natural language processing, network analysis, MapReduce, and databases</li> </ul>
<p>Take full creative control of your web applications with Flask, the Python-based microframework. With the second edition of this hands-on book, you'll learn Flask from the ground up by developing a complete, real-world application created by author Miguel Grinberg. This refreshed edition accounts for important technology changes that have occurred in the past three years.</p> <p>Explore the framework's core functionality, and learn how to extend applications with advanced web techniques such as database migrations and an application programming interface. The first part of each chapter provides you with reference and background for the topic in question, while the second part guides you through a hands-on implementation.</p> <p>If you have Python experience, you're ready to take advantage of the creative freedom Flask provides. Three sections include: </p> <ul> <li><b>A thorough introduction to Flask: </b> explore web application development basics with Flask and an application structure appropriate for medium and large applications</li> <li><b>Building Flasky: </b> learn how to build an open source blogging application step-by-step by reusing templates, paginating item lists, and working with rich text</li> <li><b>Going the last mile: </b> dive into unit testing strategies, performance analysis techniques, and deployment options for your Flask application</li> </ul>