The complete, clear guide to creating compelling plots for film -Integrate plot, characterization, and exposition to make stories real - Examples from new and classic movies examine great plots in action Plot must be as much about the emotions of the characters as it is about the events of the story. That’s the message of The Art of Plotting, which teaches screenwriters how to integrate plot, characterization, and exposition to make stories compelling. Using examples from recent and classic movies, author Linda J. Cowgill demonstrates how the plot springs naturally from the characters--and how that technique makes audiences connect with the story on a more intimate level. Examples include American Beauty, Shakespeare in Love, Erin Brockovich, Spider-Man, Chinatown, Jaws, and more. Easy exercises reveal common plot problems and help writers overcome them. Clear and easy to understand and to use, The Art of Plotting shows exactly how great plotting evolves from characters caught in life-changing conflicts--and how to create great plots driven by that idea.
Discover how to create stories that build suspense, reveal character, and engage your audience with this ultimate guide to writing. When it comes to writing bestsellers, it’s all about the plot. Trouble is, plot is where most writers fall down—but you don’t have to be one of them. With this book, you’ll learn how to create stories that build suspense, reveal character, and engage readers—one scene at a time. Celebrated writing teacher and author Martha Alderson has devised a plotting system that’s as innovative as it is easy to implement. With her foolproof blueprint, you’ll learn to devise a successful storyline for any genre. She shows how to: -Use the power of the Universal Story -Create plot lines and subplots that work together -Effectively use a scene tracker for maximum impact -Insert energetic markers at the right points in your story -Show character transformation at the book’s climax This is the ultimate guide for you to write page-turners that sell!
Donna Schaper has written a thought-provoking book to assist readers in developing a way to move forward, a way to become persons of faith, and a way of becoming Christians by calmly plotting the resurrection. Schaper provides a daily exercise for the seven weeks of the Lenten season, including a passage of Scripture, a brief reflection, and concluding questions for further consideration or group discussion. The themes for each week of reflections are: Week 1--Where Are We Going? Week 2--Are We There Yet? Week 3--Are We Lost? Week 4--Parabolic Thinking: The Land Beyond Lost, Next To Doubt Week 5--What Is Enough Resurrection? Week 6--Rising Week 7--Risen Schaper provides a daily guide for our journey through the Lenten season, filled with personal illustrations, inspirational stories, and words for reflection. Perfect for individual study and for adult groups, Calmly Plotting the Resurrection is a helpful resource for anyone seeking a meaningful journey toward Easter.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
An Adult Coloring Book for Authors!This book will help you paint powerful visual scenes that stick with readers long after they're finished your book. The techniques described within are simple and easy to use. Think of this as a guided coloring book adventure. YOUR adventure.There are lots of systems and guides to plotting, but if you're like me you have journals filled with notes, scenes and description... it can get overwhelming. I've based this book on traditional three-act story architecture, but it's greatly simplified. Plotters and pantsers can use the guided exercises to gain greater visual clarity and build more meaningful scenes with resonance. This book will help you get organized and unlock hidden potential in your scenes that you didn't know was there, by going beyond words and focusing on drawing and coloring your scenes until you have a full outline.This book makes an excellent workbook for writing retreats, is simple enough for children to use (it's never too early to write your first novel), and introduces a new, and hopefully useful, way to organize your novel, improve your writing, and create unforgettable scenes that will make a deep and lasting impact.
Balanced precariously between fact and fiction, the historical novel is often viewed with suspicion. Some have attacked it as a mongrel form, a “bastard son” born of “history’s flagrant adultery with imagination.” Yet it includes some of the most celebrated achievements of Russian literature, with Alexander Pushkin, Nikolai Gogol, Leo Tolstoy, and scores of other writers contributing to this tradition. Dan Ungurianu’s Plotting History traces the development of the Russian historical novel from its inception in the romantic era to the emergence of Modernism on the eve of the Revolution. Organized historically and thematically, the study is focused on the cultural paradigms that shaped the evolution of the genre and are reflected in masterpieces such as The Captain’s Daughter and War and Peace. Ungurianu examines the variety of approaches by which Russian writers combined fact with fiction and explores the range of subjects that inspired the Russian historical imagination. Outstanding Academic Title, Choice Magazine “Ungurianu has produced a most valuable work for literary scholars.”—Andrew M. Drozd, Slavic and East European Journal “[Ungurianu’s] overwhelming knowledge, impeccable documentation, erudite notes, and valuable addenda make for a treasure house of information and keen analysis. . . . Essential.”—Choice
Represent and analyze data using Plots to find actionable insights using Julia programming Key FeaturesLearn to use static and interactive plots to explore data with JuliaBecome well versed with the various plotting attributes needed to customize your plotsCreate insightful and appealing plots using data interactions, animations, layouts, and themesBook Description The Julia programming language offers a fresh perspective into the data visualization field. Interactive Visualization and Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You'll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You'll find out how to create animations, a handy skill for communication and teaching. Then, the book shows how to solve data analysis problems using DataFrames and various plotting packages based on the grammar of graphics. Furthermore, you'll discover how to create the most common statistical plots for data exploration. Also, you'll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into plot customizations with Plots, Makie, and Gadfly—focusing on the former—teaching you to create plot themes, arrange multiple plots into a single figure, and build new plot types. By the end of this Julia book, you'll be able to create interactive and publication-quality static plots for data analysis and exploration tasks using Julia. What you will learnCreate interactive plots with Makie, Plots, Jupyter, and PlutoCreate standard statistical plots and visualize clustering resultsPlot geographically distributed and biological dataVisualize graphs and networks using GraphRecipes and GraphPlotsFind out how to draw and animate objects with Javis, Plots, and MakieDefine plot themes to reuse plot visual aspect customizationsArrange plots using Plots, Makie, and Gadfly layout systemsDefine new plot types and determine how Plots and Makie show objectsWho this book is for Data analysts looking to explore Julia's data visualization capabilities will find this book helpful, along with scientists and academics who want to generate and communicate knowledge and improve their teaching material. This data visualization book will also interest Julia programmers willing to delve into the language plotting ecosystem and improve their visualization skills. Basic programming knowledge is assumed — but the book will introduce you to Julia's important features. Familiarity with mathematical and statistical concepts will help you make the most of some of the chapters.
This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis
