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Author: Ian Haney López Publisher: The New Press ISBN: 1620975653 Category : Political Science Languages : en Pages : 290
Book Description
From the acclaimed author of Dog Whistle Politics, an essential road map to neutralizing the role of racism as a divide-and-conquer political weapon and to building a broad multiracial progressive future "Ian Haney López has broken the code on the racial politics of the last fifty years."—Bill Moyers In 2014, Ian Haney López in Dog Whistle Politics named and explained the coded racial appeals exploited by right-wing politicians over the last half century—and thereby anticipated the 2016 presidential election. Now the country is heading into what will surely be one of the most consequential elections ever, with the Right gearing up to exploit racial fear-mongering to divide and distract, and the Left splintered over the next step forward. Some want to focus on racial justice head-on; others insist that a race-silent focus on class avoids alienating white voters. Can either approach—race-forward or colorblind—build the progressive supermajorities necessary to break political gridlock and fundamentally change the country's direction? For the past two years, Haney López has been collaborating with a research team of union activists, racial justice leaders, communications specialists, and pollsters. Based on conversations, interviews, and surveys with thousands of people all over the country, the team found a way forward. By merging the fights for racial justice and for shared economic prosperity, they were able to build greater enthusiasm for both goals—and for the cross-racial solidarity needed to win elections. What does this mean? It means that neutralizing the Right's political strategy of racial division is possible, today. And that's the key to everything progressives want to achieve. A work of deep research, nuanced argument, and urgent insight, Merge Left: Fusing Race and Class, Winning Elections, and Saving America is an indispensable tool for the upcoming political season and in the larger fight to build racial justice and shared economic prosperity for all of us.
Author: Ian Haney López Publisher: The New Press ISBN: 1620975653 Category : Political Science Languages : en Pages : 290
Book Description
From the acclaimed author of Dog Whistle Politics, an essential road map to neutralizing the role of racism as a divide-and-conquer political weapon and to building a broad multiracial progressive future "Ian Haney López has broken the code on the racial politics of the last fifty years."—Bill Moyers In 2014, Ian Haney López in Dog Whistle Politics named and explained the coded racial appeals exploited by right-wing politicians over the last half century—and thereby anticipated the 2016 presidential election. Now the country is heading into what will surely be one of the most consequential elections ever, with the Right gearing up to exploit racial fear-mongering to divide and distract, and the Left splintered over the next step forward. Some want to focus on racial justice head-on; others insist that a race-silent focus on class avoids alienating white voters. Can either approach—race-forward or colorblind—build the progressive supermajorities necessary to break political gridlock and fundamentally change the country's direction? For the past two years, Haney López has been collaborating with a research team of union activists, racial justice leaders, communications specialists, and pollsters. Based on conversations, interviews, and surveys with thousands of people all over the country, the team found a way forward. By merging the fights for racial justice and for shared economic prosperity, they were able to build greater enthusiasm for both goals—and for the cross-racial solidarity needed to win elections. What does this mean? It means that neutralizing the Right's political strategy of racial division is possible, today. And that's the key to everything progressives want to achieve. A work of deep research, nuanced argument, and urgent insight, Merge Left: Fusing Race and Class, Winning Elections, and Saving America is an indispensable tool for the upcoming political season and in the larger fight to build racial justice and shared economic prosperity for all of us.
Author: Saverio Perugini Publisher: Jones & Bartlett Learning ISBN: 128426498X Category : Computers Languages : en Pages : 889
Book Description
Programming Languages: Concepts and Implementation teaches language concepts from two complementary perspectives: implementation and paradigms. It covers the implementation of concepts through the incremental construction of a progressive series of interpreters in Python, and Racket Scheme, for purposes of its combined simplicity and power, and assessing the differences in the resulting languages.
Author: John Paul Mueller Publisher: John Wiley & Sons ISBN: 111933053X Category : Computers Languages : en Pages : 408
Book Description
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
Author: Jessen Havill Publisher: CRC Press ISBN: 1000218481 Category : Computers Languages : en Pages : 522
Book Description
"Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds." -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College "This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape." -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University "Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field." -- James Deverick, Senior Lecturer, The College of William and Mary "This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs." -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration.
Author: Loiane Groner Publisher: Packt Publishing Ltd ISBN: 1788624947 Category : Computers Languages : en Pages : 419
Book Description
A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 8 features.
Author: David A. Patterson Publisher: Newnes ISBN: 0124078869 Category : Computers Languages : en Pages : 1137
Book Description
Computer Organization and Design, Fifth Edition, is the latest update to the classic introduction to computer organization. The text now contains new examples and material highlighting the emergence of mobile computing and the cloud. It explores this generational change with updated content featuring tablet computers, cloud infrastructure, and the ARM (mobile computing devices) and x86 (cloud computing) architectures. The book uses a MIPS processor core to present the fundamentals of hardware technologies, assembly language, computer arithmetic, pipelining, memory hierarchies and I/O.Because an understanding of modern hardware is essential to achieving good performance and energy efficiency, this edition adds a new concrete example, Going Faster, used throughout the text to demonstrate extremely effective optimization techniques. There is also a new discussion of the Eight Great Ideas of computer architecture. Parallelism is examined in depth with examples and content highlighting parallel hardware and software topics. The book features the Intel Core i7, ARM Cortex-A8 and NVIDIA Fermi GPU as real-world examples, along with a full set of updated and improved exercises. This new edition is an ideal resource for professional digital system designers, programmers, application developers, and system software developers. It will also be of interest to undergraduate students in Computer Science, Computer Engineering and Electrical Engineering courses in Computer Organization, Computer Design, ranging from Sophomore required courses to Senior Electives. Winner of a 2014 Texty Award from the Text and Academic Authors Association Includes new examples, exercises, and material highlighting the emergence of mobile computing and the cloud Covers parallelism in depth with examples and content highlighting parallel hardware and software topics Features the Intel Core i7, ARM Cortex-A8 and NVIDIA Fermi GPU as real-world examples throughout the book Adds a new concrete example, "Going Faster," to demonstrate how understanding hardware can inspire software optimizations that improve performance by 200 times Discusses and highlights the "Eight Great Ideas" of computer architecture: Performance via Parallelism; Performance via Pipelining; Performance via Prediction; Design for Moore's Law; Hierarchy of Memories; Abstraction to Simplify Design; Make the Common Case Fast; and Dependability via Redundancy Includes a full set of updated and improved exercises
Author: Aditya Pratap Bhuyan Publisher: Aditya Pratap Bhuyan ISBN: Category : Computers Languages : en Pages : 707
Book Description
"Mastering Data Structures with Python: A Practical Guide" offers a comprehensive journey through the essential concepts of data structures, all within the practical framework of Python. Designed for both beginners and experienced programmers, this book provides a thorough understanding of the data structures that are critical to writing efficient, high-performance algorithms. The book begins with a solid introduction to fundamental data structures like arrays, linked lists, stacks, and queues, before moving on to more complex structures such as trees, graphs, and heaps. Each data structure is broken down with easy-to-understand explanations, step-by-step walkthroughs, and Python code examples that bring theory to life. The clear, practical approach ensures that readers can apply what they've learned in real-world programming situations. In addition to covering these essential structures, the book also focuses on the efficiency and performance of algorithms, teaching you how to analyze time and space complexity using Big O notation. This understanding is crucial for writing code that scales and performs well under pressure, a skill that's highly sought after in technical interviews and real-world development. The book goes beyond theory, showcasing real-world applications of data structures in Python, such as how to use them to optimize search algorithms, build complex networks, and manage large datasets. With a focus on practical problem-solving, you'll also learn tips and tricks for optimizing code, managing memory efficiently, and implementing the right data structures for various tasks. Whether you’re a student preparing for coding interviews, a developer wanting to sharpen your skills, or simply curious about data structures, "Mastering Data Structures with Python" serves as a valuable guide. It’s not just about learning Python—it’s about mastering the art of programming itself.
Author: Alex Galea Publisher: Packt Publishing Ltd ISBN: 1789534658 Category : Computers Languages : en Pages : 194
Book Description
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Key Features Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests Discover how you can use web scraping to gather and parse your own bespoke datasets Book Description Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. What you will learn Get up and running with the Jupyter ecosystem and some example datasets Learn about key machine learning concepts like SVM, KNN classifiers, and Random Forests Plan a machine learning classification strategy and train classification, models Use validation curves and dimensionality reduction to tune and enhance your models Discover how you can use web scraping to gather and parse your own bespoke datasets Scrape tabular data from web pages and transform them into Pandas DataFrames Create interactive, web-friendly visualizations to clearly communicate your findings Who this book is for This book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.
Author: Kenny Ballou Publisher: Packt Publishing Ltd ISBN: 178588347X Category : Computers Languages : en Pages : 286
Book Description
Unveil many hidden gems of programming functionally by taking the foundational steps with Elixir About This Book Explore the functional paradigms of programming with Elixir through use of helpful examples Concise step-by-step instructions to teach you difficult technical concepts Bridge the gap between functional programming and Elixir Who This Book Is For This book targets developers new to Elixir, as well as Erlang, in order to make them feel comfortable in functional programming with Elixir, thus enabling them to develop more scalable and fault-tolerant applications. Although no knowledge of Elixir is assumed, some programming experience with mainstream Object-Oriented programming languages such a Ruby, Python, Java, C# would be beneficial. What You Will Learn Explore Elixir to create resilient, scalable applications Create fault-tolerant applications Become better acquainted with Elixir code and see how it is structured to build and develop functional programs Learn the basics of functional programming Gain an understanding of effective OTP principles Design program-distributed applications and systems Write and create branching statements in Elixir Learn to do more with less using Elixir's metaprogramming Be familiar with the facilities Elixir provides for metaprogramming, macros, and extending the Elixir language In Detail Elixir, based on Erlang's virtual machine and ecosystem, makes it easier to achieve scalability, concurrency, fault tolerance, and high availability goals that are pursued by developers using any programming language or programming paradigm. Elixir is a modern programming language that utilizes the benefits offered by Erlang VM without really incorporating the complex syntaxes of Erlang. Learning to program using Elixir will teach many things that are very beneficial to programming as a craft, even if at the end of the day, the programmer isn't using Elixir. This book will teach you concepts and principles important to any complex, scalable, and resilient application. Mostly, applications are historically difficult to reason about, but using the concepts in this book, they will become easy and enjoyable. It will teach you the functional programing ropes, to enable them to create better and more scalable applications, and you will explore how Elixir can help you achieve new programming heights. You will also glean a firm understanding of basics of OTP and the available generic, provided functionality for creating resilient complex systems. Furthermore, you will learn the basics of metaprogramming: modifying and extending Elixir to suite your needs. Style and approach An exploration of functional programming and Elixir with easy to follow examples using Elixir and the functional style. All the topics, concepts, and principles covered are clearly and concisely explained with either code examples or in depth discussions, or both!
Author: Sally. A Goldman Publisher: CRC Press ISBN: 1420010336 Category : Computers Languages : en Pages : 1056
Book Description
Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to
Author: Ian Haney López
Author: Ian Haney López
Author: Saverio Perugini
Author: John Paul Mueller
Author: Jessen Havill
Author: Loiane Groner
Author: David A. Patterson
Author: Aditya Pratap Bhuyan
Author: Alex Galea
Author: Kenny Ballou
Author: Sally. A Goldman