Street Coder
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Author | : Sedat Kapanoglu |
Publisher | : Simon and Schuster |
Total Pages | : 270 |
Release | : 2022-02-08 |
Genre | : Computers |
ISBN | : 1617298379 |
This wickedly smart and devilishly funny beginner's guide shows you how to get the job done by prioritizing tasks, making quick decisions, and knowing which rules to break. --
Author | : Elijah Anderson |
Publisher | : W. W. Norton & Company |
Total Pages | : 362 |
Release | : 2000-09-17 |
Genre | : Social Science |
ISBN | : 0393070387 |
Unsparing and important. . . . An informative, clearheaded and sobering book.—Jonathan Yardley, Washington Post (1999 Critic's Choice) Inner-city black America is often stereotyped as a place of random violence, but in fact, violence in the inner city is regulated through an informal but well-known code of the street. This unwritten set of rules—based largely on an individual's ability to command respect—is a powerful and pervasive form of etiquette, governing the way in which people learn to negotiate public spaces. Elijah Anderson's incisive book delineates the code and examines it as a response to the lack of jobs that pay a living wage, to the stigma of race, to rampant drug use, to alienation and lack of hope.
Author | : Sedat Kapanoglu |
Publisher | : Simon and Schuster |
Total Pages | : 270 |
Release | : 2022-03-01 |
Genre | : Computers |
ISBN | : 1638357145 |
Computer science theory quickly collides with the harsh reality of professional software development. This wickedly smart and devilishly funny beginner's guide shows you how to get the job done by prioritizing tasks, making quick decisions, and knowing which rules to break. In Street Coder you will learn: Data types, algorithms, and data structures for speedy software development Putting "bad" practices to good use Learn to love testing Embrace code breaks and become friends with failure Beginner-friendly insight on code optimization, asynchronous programming, parallelization, and refactoring Street Coder: Rules to break and how to break them is a programmer's survival guide, full of tips, tricks, and hacks that will make you a more efficient programmer. It takes the best practices you learn in a computer science class and deconstructs them to show when they’re beneficial—and when they aren't! This book's rebel mindset challenges status quo thinking and exposes the important skills you need on the job. You'll learn the crucial importance of algorithms and data structures, turn programming chores into programming pleasures, and shatter dogmatic principles keeping you from your full potential. Welcome to the streets! About the technology Fresh-faced CS grads, bootcampers, and other junior developers lack a vital quality: the “street smarts” of experience. To succeed in software, you need the skills and discipline to put theory into action. You also need to know when to go rogue and break the unbreakable rules. Th is book is your survival guide. About the book Street Coder teaches you how to handle the realities of day-to-day coding as a software developer. Self-taught guru Sedat Kapanoglu shares down-and-dirty advice that’s rooted in his personal hands-on experience, not abstract theory or ivory-tower ideology. You’ll learn how to adapt what you’ve learned from books and classes to the challenges you’ll face on the job. As you go, you’ll get tips on everything from technical implementations to handling a paranoid manager. What's inside Beginner-friendly insights on code optimization, parallelization, and refactoring Put “bad” practices to good use Learn to love testing Embrace code breaks and become friends with failure About the reader For new programmers. Examples in C#. About the author Sedat Kapanoglu is a self-taught programmer with more than 25 years of experience, including a stint at Microsoft. Table of Contents 1 To the streets 2 Practical theory 3 Useful anti-patterns 4 Tasty testing 5 Rewarding refactoring 6 Security by scrutiny 7 Opinionated optimization 8 Palatable scalability 9 Living with bugs
Author | : Shane Safir |
Publisher | : Corwin |
Total Pages | : 281 |
Release | : 2021-02-12 |
Genre | : Education |
ISBN | : 1071812661 |
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
Author | : George L. Kelling |
Publisher | : Simon and Schuster |
Total Pages | : 340 |
Release | : 1997 |
Genre | : Political Science |
ISBN | : 0684837382 |
Cites successful examples of community-based policing.
Author | : Joan McCord |
Publisher | : Cambridge University Press |
Total Pages | : 356 |
Release | : 1997-10-13 |
Genre | : Social Science |
ISBN | : 9780521587204 |
The contributors present various opinions about the causes of violence in American cities.
Author | : Maureen Webb |
Publisher | : MIT Press |
Total Pages | : 413 |
Release | : 2021-07-27 |
Genre | : Political Science |
ISBN | : 0262542285 |
Hackers as vital disruptors, inspiring a new wave of activism in which ordinary citizens take back democracy. Hackers have a bad reputation, as shady deployers of bots and destroyers of infrastructure. In Coding Democracy, Maureen Webb offers another view. Hackers, she argues, can be vital disruptors. Hacking is becoming a practice, an ethos, and a metaphor for a new wave of activism in which ordinary citizens are inventing new forms of distributed, decentralized democracy for a digital era. Confronted with concentrations of power, mass surveillance, and authoritarianism enabled by new technology, the hacking movement is trying to "build out" democracy into cyberspace.
Author | : Golan Levin |
Publisher | : MIT Press |
Total Pages | : 289 |
Release | : 2021-02-02 |
Genre | : Education |
ISBN | : 0262542048 |
An essential guide for teaching and learning computational art and design: exercises, assignments, interviews, and more than 170 illustrations of creative work. This book is an essential resource for art educators and practitioners who want to explore code as a creative medium, and serves as a guide for computer scientists transitioning from STEM to STEAM in their syllabi or practice. It provides a collection of classic creative coding prompts and assignments, accompanied by annotated examples of both classic and contemporary projects, and more than 170 illustrations of creative work, and features a set of interviews with leading educators. Picking up where standard programming guides leave off, the authors highlight alternative programming pedagogies suitable for the art- and design-oriented classroom, including teaching approaches, resources, and community support structures.
Author | : Jeremy Howard |
Publisher | : O'Reilly Media |
Total Pages | : 624 |
Release | : 2020-06-29 |
Genre | : Computers |
ISBN | : 1492045497 |
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author | : Mark C. Marino |
Publisher | : MIT Press |
Total Pages | : 289 |
Release | : 2020-03-10 |
Genre | : Computers |
ISBN | : 0262357437 |
An argument that we must read code for more than what it does—we must consider what it means. Computer source code has become part of popular discourse. Code is read not only by programmers but by lawyers, artists, pundits, reporters, political activists, and literary scholars; it is used in political debate, works of art, popular entertainment, and historical accounts. In this book, Mark Marino argues that code means more than merely what it does; we must also consider what it means. We need to learn to read code critically. Marino presents a series of case studies—ranging from the Climategate scandal to a hactivist art project on the US-Mexico border—as lessons in critical code reading. Marino shows how, in the process of its circulation, the meaning of code changes beyond its functional role to include connotations and implications, opening it up to interpretation and inference—and misinterpretation and reappropriation. The Climategate controversy, for example, stemmed from a misreading of a bit of placeholder code as a “smoking gun” that supposedly proved fabrication of climate data. A poetry generator created by Nick Montfort was remixed and reimagined by other poets, and subject to literary interpretation. Each case study begins by presenting a small and self-contained passage of code—by coders as disparate as programming pioneer Grace Hopper and philosopher Friedrich Kittler—and an accessible explanation of its context and functioning. Marino then explores its extra-functional significance, demonstrating a variety of interpretive approaches.