Packed with over 120 how-to photos and 130 musical examples. 94 track CD included - hear and play along with every exercise and song. The only book to offer instruction in clawhammer, bluegrass, melodic, single-string, minstrel and classic styles. From Earl Scruggs’ driving bluegrass picking to the genre-busting jazz fusion of Béla Fleck and the multi-million selling movie soundtrack  O Brother Where Are Thou?, the five-string banjo can be heard just about everywhere in American music these days. Banjo For Dummies is the most complete guide to the five-string banjo ever written. It covers everything you need to get into the banjo: including how to choose, tune and care for your instrument, developing a good playing posture, fretting your first chords and getting comfortable with the left and right hand picking patterns used for clawhammer and bluegrass playing techniques. You’ll then add the left hand, spicing up your playing with slides, hammer-ons, pull-offs, and chokes for an authentic five-string banjo sound. From there, you’ll move on the play 19th century minstrel style, early 20th century classic style as well as try your hand at more advanced examples of bluegrass style. An in-depth chapter on bluegrass music explores Scruggs licks and techniques as well as melodic and single-string styles, with song examples. Also included is a banjo buyer’s guide, a section on music theory as applied to bluegrass and old-time music, an accessories guide (advice on cases, picks, straps,metronomes, computer aids and much more), information on how to find a good teacher, banjo camp or festival, chord charts, bios of twelve influential players, practice tips and much, much more! Banjo For Dummies is accessible and fun to read and it’s easy to locate just what you’re interested in playing. Included are 20 songs including several new compositions written by the author just for this book, including Reno Rag (single-string style), “Winston’s Jig” (Irish three-finger), and “Everyday Breakdown” (Scruggs style). All musical examples are played slowly on the accompanying CD, many with guitar and mandolin accompaniment. Bill Evans is one of the world’s most celebrated banjo players and teachers. He has taught thousands of people to play the five-string banjo in private lessons and group workshops literally all over the world. In addition to leading the Bill Evans String Summit, Bill has performed with Dry Branch Fire Squad, David Grisman, Peter Rowan, Tony Trischka and many others and he hosts his own acclaimed banjo camp, the NashCamp Fall Banjo Retreat in the Nashville area. As an American music historian, he has taught at San Francisco State University, the University Virginia and Duke University. He has written a popular instructional column for Banjo Newsletter magazine for the last fifteen years and hosts three popular instructional DVDs for AcuTab Publications. To learn more about Bill, visit his homepage at www.nativeandfine.com.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    We'll introduce you to various tips, tricks, patterns, code snippets, and techniques that we've picked up over the years.This book is great for:Beginners who have just finished the Django tutorial.Developers with intermediate knowledge of Django who want to improve their Django projects.

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    With this practical guide, you’ll learn how to use Python scripts and web APIs to gather and process data from thousands—or even millions—of web pages at once. Ideal for programmers, security professionals, and web administrators familiar with Python, this book not only teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing. Code samples are available to help you understand the concepts in practice. Learn how to parse complicated HTML pages Traverse multiple pages and sites Get a general overview of APIs and how they work Learn several methods for storing the data you scrape Download, read, and extract data from documents Use tools and techniques to clean badly formatted data Read and write natural languages Crawl through forms and logins Understand how to scrape JavaScript Learn image processing and text recognition

    Allowing you to combine the various elements that make up your writing project, from outlines to research to note, Scrivener helped author Nicole Dionisio write two novels in a single year. Our manual outlines how to use Scrivener to make your writing better, and is useful for writers of all stripes – which includes you. It is 48 hours before your dissertation is due and, despite the chaos, you are trying to complete the final edits, because it’s the only choice you have.There is one problem — and it isn’t the pile of unclean dishes housing sea-green mold and chatty-vermin that has become your sink — it is your computer and it is time. You should be going faster then this, you put your blood-shot pounding head in your hands and groan, “Why am I going so slow? This computer is brand new... what is the problem?”It isn’t your computer’s specs. It is your writing process. It is because you have not yet started using Scrivener.It is opening up a new webpage or PDF every 15 minutes to fact-check research. It is switching back and forth be- tween this research, your outline, your bibliography, and your draft. It is waiting for your files to load, bouncing be- tween them, and getting lost in the quantity of windows on your computer screen or document.Scrivener has two key features: it loads all documents at once and it has many visual organizational tools. Scrivener has optimum productivity, thus it gives writers more time to actually write and accomplish their goals.This manual outlines: -Planning your manuscript-Importing existing documents into Scrivener-Collecting your notes-Organizing files and documents within Scrivener-Keeping track of your characters for fiction writing-Bringing it all together and writing your manuscript-The editing process, including sharing with beta readers.-Publishing your masterpiece online

    It is very readable and the stress many beginners face about memorizing arcane syntax typically presented by other programming languages will not affect you at all. Conversely, you will be able to concentrate on learning concepts and paradigms of programming. This book shall introduce you to an easy way to learn Python in just 7 days and in this time, be able to complete your own projects! By reading the book and implementing what you learn herein, you will realize just why major institutions like NASA, Google, Mozilla, Yahoo, Dropbox, IBM, Facebook and many others prefer to use python in their core products, services and business processes. Let

    This is official Amazon Web Services (AWS) documentation for Amazon Compute Cloud (Amazon EC2).This guide explains the infrastructure provided by the Amazon EC2 web service, and steps you through how to configure and manage your virtual servers using the AWS Management Console (an easy-to-use graphical interface), the Amazon EC2 API, or web tools and utilities.Amazon EC2 provides resizable computing capacity—literally, server instances in Amazon's data centers—that you use to build and host your software systems.

    In-depth explorations of the derivative, the differentiation and integration of the powers of x, and theorems on differentiation and antidifferentiation lead to a definition of the chain rule and examinations of trigonometric functions, logarithmic and exponential functions, techniques of integration, polar coordinates, much more. Clear-cut explanations, numerous drills, illustrative examples. 1967 edition. Solution guide available upon request.

    We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn this data into knowledge. Automated speech recognition on our smart phones, web search engines, e-mail spam filters, the recommendation systems of our favorite movie streaming services – machine learning makes it all possible.Thanks to the many powerful open-source libraries that have been developed in recent years, machine learning is now right at our fingertips. Python provides the perfect environment to build machine learning systems productively.This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results.You will discover the different problem categories that machine learning can solve and explore how to classify objects, predict continuous outcomes with regression analysis, and find hidden structures in data via clustering. You will build your own machine learning system for sentiment analysis and finally, learn how to embed your model into a web app to share with the world

    More and more leading businesses today use estimation questions in interviews to test applicants' abilities to think on their feet. Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic.Lawrence Weinstein and John Adam present an eclectic array of estimation problems that range from devilishly simple to quite sophisticated and from serious real-world concerns to downright silly ones. How long would it take a running faucet to fill the inverted dome of the Capitol? What is the total length of all the pickles consumed in the US in one year? What are the relative merits of internal-combustion and electric cars, of coal and nuclear energy? The problems are marvelously diverse, yet the skills to solve them are the same. The authors show how easy it is to derive useful ballpark estimates by breaking complex problems into simpler, more manageable ones--and how there can be many paths to the right answer. The book is written in a question-and-answer format with lots of hints along the way. It includes a handy appendix summarizing the few formulas and basic science concepts needed, and its small size and French-fold design make it conveniently portable. Illustrated with humorous pen-and-ink sketches, Guesstimation will delight popular-math enthusiasts and is ideal for the classroom.

    It includes all the diagnostic criteria from DSM-IV-TR(R) in an easy-to-use, spiralbound format. It includes a pull-out chart of the DSM-IV-TR Classification.Changes were made to the following diagnostic criteria: - Personality Change Due to a General Medical Condition - Paraphilias- Tic Disorders

    The Clay Mathematics Institute is offering a prize of $1 million to anyone who can discover a general solution to the problem. In this book, Avner Ash and Robert Gross guide readers through the mathematics they need to understand this captivating problem.The key to the conjecture lies in elliptic curves, which are cubic equations in two variables. These equations may appear simple, yet they arise from some very deep--and often very mystifying--mathematical ideas. Using only basic algebra and calculus while presenting numerous eye-opening examples, Ash and Gross make these ideas accessible to general readers, and in the process venture to the very frontiers of modern mathematics. Along the way, they give an informative and entertaining introduction to some of the most profound discoveries of the last three centuries in algebraic geometry, abstract algebra, and number theory. They demonstrate how mathematics grows more abstract to tackle ever more challenging problems, and how each new generation of mathematicians builds on the accomplishments of those who preceded them. Ash and Gross fully explain how the Birch and Swinnerton-Dyer Conjecture sheds light on the number theory of elliptic curves, and how it provides a beautiful and startling connection between two very different objects arising from an elliptic curve, one based on calculus, the other on algebra.