Plot & Structure: Techniques and Exercises for Crafting a Plot That Grips Readers from Start to Finish


James Scott Bell - 2004
    Award-winning author James Scott Bell offers clear, concise information that will help you create a believable and memorable plot, including: Techniques for crafting strong beginnings, middles, and endsEasy-to-understand plotting diagrams and chartsBrainstorming techniques for original plot ideasThought-provoking exercises at the end of each chapterStory structure models and methods for all genresTips and tools for correcting common plot problemsFilled with plot examples from popular novels, comprehensive checklists, and practical hands-on guidance, "Write Great Fiction: Plot & Structure" gives you the skills you need to approach plot and structure like an experienced pro.

Data Science from Scratch: First Principles with Python


Joel Grus - 2015
    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. 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. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Guitar Theory For Dummies: Book + Online Video & Audio Instruction


Desi R. Serna - 2013
    With an approachable and engaging style, Guitar Theory For Dummies goes beyond guitar basics, presenting the guidance intermediate to advanced players need to improve their improvisational and compositional skills. Plus, with access to audio tracks and video instruction online you can master the concepts and techniques covered in the book. Key content coverage includes: pentatonic and major scale patterns; the CAGED chord system, chord progressions, and playing by numbers; roots, keys, and applying scales, plus modes and modal scales; intervals and chord extensions; popular song references and theory applications that help you understand how to play popular music and contemporary guitar styles, and create music of your own. This title also features companion audio tracks and video content hosted online at Dummies.com The expert instruction and easy-to-digest information provides comprehensive guidance on how to apply music theory concepts to fretted instruments If you already have a handle on the basics and want to know more about the building blocks and theory behind guitar music, Guitar Theory For Dummies has you covered.

Joey Drew Studios Employee Handbook (Bendy and the Ink Machine)


Cala Spinner - 2019
    Drew's legacy of iconic characters like Bendy, Boris the Wolf, and Alice Angel! In this handy guidebook, you'll learn how to get around the studio, operate our state-of-the-art Ink Machine, and work well with our dedicated staff of creatives and crew members. Mr. Drew himself has even included a walk-through of all the tasks you'll need to complete to make it out of your first week alive, as well as an excerpt from his memoir The Illusion of Living, to inspire you to carry our company mission forward.In time, we hope you'll find a home here at our studios. Who knows? After a while, you may never want to leave!Don't miss this terrifying in-world guidebook, your key to unlocking the mysteries of Bendy and the Ink Machine!

Professional Wordpress Plugin Development


Brad Williams - 2011
    Now you can extend it for personal, corporate and enterprise use with advanced plugins and this professional development guide. Learn how to create plugins using the WordPress plugin API: utilize hooks, store custom settings, craft translation files, secure your plugins, set custom user roles, integrate widgets, work with JavaScript and AJAX, create custom post types. You'll find a practical, solutions-based approach, lots of helpful examples, and plenty of code you can incorporate!Shows you how to develop advanced plugins for the most popular CMS platform today, WordPress Covers plugin fundamentals, how to create and customize hooks, internationalizing your site with translation files, securing plugins, how to create customer users, and ways to lock down specific areas for use in corporate settings Delves into advanced topics, including creating widgets and metaboxes, debugging, using JavaScript and AJAX, Cron integration, custom post types, short codes, multi site functions, and working with the HTTP API Includes pointers on how to debug, profile and optimize your code, and how to market your custom plugin Learn advanced plugin techniques and extend WordPress into the corporate environment.

Think Stats


Allen B. Downey - 2011
    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

Atheism 101: Answers, Explanations and Rebuttals


Grigory Lukin - 2011
    What is the meaning of life? What was Hitler's religion? What's the deal with the Flying Spaghetti Monster? And what was Mother Teresa's dark secret? This book is highly recommended for everyone curious about America's most misunderstood minority, as well as for those who wish to better understand their atheist friends, neighbors or coworkers.

The Elements of Statistical Learning: Data Mining, Inference, and Prediction


Trevor Hastie - 2001
    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.