Where did I go wrong?" Most instructors hear this complaint every year. In many cases, it is true that the student invested countless hours, only to produce abysmal results. Often, inefficient study habits are to blame. The important question is: why do so many students have difficulty preparing themselves for organic chemistry exams? There are certainly several factors at play here, but perhaps the most dominant factor is a fundamental disconnect between what students learn and the tasks expected of them. To address the disconnect in organic chemistry instruction, David Klein has developed a textbook that utilizes a skills-based approach to instruction. The textbook includes all of the concepts typically covered in an organic chemistry textbook, but special emphasis is placed on skills development to support these concepts. This emphasis upon skills development will provide students with a greater opportunity to develop proficiency in the key skills necessary to succeed in organic chemistry.As an example, resonance structures are used repeatedly throughout the course, and students must become masters of resonance structures early in the course. Therefore, a significant portion of chapter 1 is devoted to drawing resonance structures.Two chapters (6 and 12) are devoted almost entirely to skill development. Chapter 6 emphasizes skills that are necessary for drawing mechanisms, while chapter 12 prepares the student for proposing syntheses.In addition, each chapter contains numerous Skillbuilders, each of which is designed to foster a specific skill. Each skillbuildercontains three parts:1. Learn the Skill: a solved problem that demonstrates a particular skill;2. Practice the Skill: numerous problems (similar to the solved problem) that give the students an opportunity to practice and master the skill;3. Apply the Skill: one or two more-challenging problems in which the student must apply the skill in a slightly different environment. These problems include conceptual, cumulative, and applied problems that encourage students to think out of the box. Sometimes problems that foreshadow concepts introduced in later chapters are also included.All SkillBuilders are visually summarized at the end of each chapter (Skillbuilder review), followed by a list of suggested in-chapter and end-of-chapter practice problems.

    But by banning fat from our diets, we’ve deprived ourselves of considerable health benefits—and have actually sabotaged our own efforts to lose weight.Though they originally came from vastly different schools of thought about diet and weight loss, renowned nutritionist Jonny Bowden and well-respected physician Steven Masley independently came to the same conclusion about why so many people continually fail to shed pounds and get healthy. It all comes back to a distinction far more important than calories vs. carbs or paleo vs. plant-based: smart fat vs. dumb fat.In Smart Fat, they explain the amazing properties of healthy fat, including its ability to balance hormones for increased energy and appetite control, and its incredible anti-inflammatory benefits. The solution for slimming down—and keeping the pounds off for life—is to “smart-fat” your meals, incorporating smart fats with fiber, protein, and most importantly, flavor. Bowden and Masley identify smart fats, explain what not to eat, and provide a thirty-day meal plan and fifty recipes based on the magic formula of fat, fiber, protein, and flavor.It’s time to unlearn what we think we know about food. Getting smart about fat—and everything you eat—and learning to smart-fat your meals is the only solution you'll ever need.

    Whet your appetite with more than 60 recipes for hot sauces, mustards, pickles, chutneys, relishes, and kimchis from around the globe. Chiles take the spotlight, with recipes such as Thai Pepper Mint Cilantro Paste, Aleppo Za’atar Pomegranate Sauce, and Mango Plantain Habañero Ferment, but other traditional spices like horseradish, ginger, and peppercorns also make cameo appearances. Dozens of additional recipes for breakfast foods, snacks, entrées, and beverages highlight the many uses for hot ferments.

    Whether you're building the next killer app, investing in a startup, or simply curious about the technology, this practical book is essential reading.Bitcoin, the first successful decentralized digital currency, is still in its infancy and it's already spawned a multi-billion dollar global economy. This economy is open to anyone with the knowledge and passion to participate. Mastering Bitcoin provides you with the knowledge you need (passion not included).This book includes:A broad introduction to bitcoin--ideal for non-technical users, investors, and business executivesAn explanation of the technical foundations of bitcoin and cryptographic currencies for developers, engineers, and software and systems architectsDetails of the bitcoin decentralized network, peer-to-peer architecture, transaction lifecycle, and security principlesOffshoots of the bitcoin and blockchain inventions, including alternative chains, currencies, and applicationsUser stories, analogies, examples, and code snippets illustrating key technical concepts

    Sweeping through the centuries from ancient Babylon right up to the latest hi-tech experiments in genetics and particle physics, Fara's book also ranges internationally, challenging notions of European superiority by emphasizing the importance of scientific projects based around the world, including revealing discussions of China and the Islamic Empire alongside the more familiar stories about Copernicus's sun-centered astronomy, Newton's gravity, and Darwin's theory of evolution.We see for instance how Muslim leaders encouraged science by building massive libraries, hospitals, and astronomical observatories and we rediscover the significance of medieval Europe--long overlooked--where, surprisingly, religious institutions ensured science's survival, as the learning preserved in monasteries was subsequently developed in new and unique institutions: universities. Instead of focussing on esoteric experiments and abstract theories, she explains how science belongs to the practical world of war, politics, and business. And rather than glorifying scientists as idealized heroes, she tells true stories about real people--men (and some women) who needed to earn their living, who made mistakes, and who trampled down their rivals.

    In "The Definitive Guide to Django: Web Development Done Right," Adrian Holovaty, one of Django's creators, and Django lead developer Jacob KaplanMoss show you how they use this framework to create awardwinning web sites. Over the course of three parts, they guide you through the creation of a web application reminiscent of chicagocrime.org.The first part of the book introduces Django fundamentals like installation and configuration. You'll learn about creating the components that power a Django-driven web site. The second part delves into the more sophisticated features of Django, like outputting nonHTML content (such as RSS feeds and PDFs), plus caching and user management. The third part serves as a detailed reference to Django's many configuration options and commands. The book even includes seven appendices for looking up configurations options and commands. In all, this book provides the ultimate tutorial and reference to the popular Django framework. What you'll learnThe first half of this book explains in-depth how to build web applications using Django including the basics of dynamic web pages, the Django templating system interacting with databases, and web forms. The second half of this book discusses higher-level concepts such as caching, security, and how to deploy Django. The appendices form a reference for the commands and configurations available in Django. Who this book is forAnyone who wants to use the powerful Django framework to build dynamic web sites quickly and easily! "

    You may still be drawing a paycheck, but the job you were hired to do no longer exists. Your company has changed, the technology has changed, the economy has changed, and the ways you can add value have changed. Have you adapted to these changes? Or are you at risk? Architect your career Economic downturn. Job cuts. Outsourcing. The ever-changing tech landscape. The threats abound. Chad Fowler is here to offer 52 ways to keep your job, despite the vagaries of the market.It's all about making the right choices. Choosing which technologies to focus on and which business domains to master have at least as much impact on your success as your technical knowledge--don't let those choices be accidental. Chad shows you all aspects of the decision-making process so you can ensure that you're investing your time and energy in the right areas.It's all about skills. You'll develop a structured plan for keeping your skills up-to-date so that you can compete with both the growing stable of developers in so-called low-cost countries as well as your higher-priced local peers. You'll learn how to shift your skillset up the value chain, from an offshore-ready commodity to one in high demand.It's all about marketing. As with any product or service, if nobody knows what you're selling, nobody will buy. Chad shows you how to create a plan for marketing yourself both inside your company and to the industry in general.Like it or not, the IT career landscape has changed. This handbook will teach you what you need to do to avoid being left behind. About the author Chad Fowler has been a software developer and manager for some of the world's largest corporations. He recently lived and worked in India, setting up and leading an offshore software development center for a large multinational company.

    It is suited for undergraduate degree students of computer science engineering, IT as well as computer applications. This book will enable students to apply the Python programming concepts in solving real-world problems.The book begins with an introduction to computers, problem solving approaches, programming languages, object oriented programming, and Python programming. Separate chapters dealing with the important constructs of Python language such as control statements, functions, strings, files, data structures, classes and objects, inheritance, operator overloading, and exceptions are provided in the book.

    It's the perfect way to introduce kids to legendary lands, powerful gods, brave heroes, wild creatures, and more! Skillfully told and illustrated by Korwin Briggs, it's the who's who and what's what of ancient culture, organized alphabetically.

    Gayle Laakmann McDowell worked in Google Engineering for three years, where she served on the hiring committee and interviewed over 120 candidates. She interned for Microsoft and Apple, and interviewed with and received offers from ten tech firms. If you're a student, you'll learn what to study and how to prepare while in school, as well as what career paths to consider. If you're a job seeker, you'll get an edge on your competition by learning about hiring procedures and making yourself stand out from other candidates. Covers key concerns like what to major in, which extra-curriculars and other experiences look good, how to apply, how to design and tailor your resume, how to prepare for and excel in the interview, and much more Author was on Google's hiring committee; interned at Microsoft and Apple; has received job offers from more than 10 tech firms; and runs CareerCup.com, a site devoted to tech jobs Get the only comprehensive guide to working at some of America's most dynamic, innovative, and well-paying tech companies with The Google Resume.

    But what most people don't know is that the more thoroughly researchers investigate the history of our planet, the more astonishing the story of our existence becomes. The number and complexity of the astronomical, geological, chemical, and biological features recognized as essential to human existence have expanded explosively within the past decade. An understanding of what is required to make possible a large human population and advanced civilizations has raised profound questions about life, our purpose, and our destiny. Are we really just the result of innumerable coincidences? Or is there a more reasonable explanation?This fascinating book helps nonscientists understand the countless miracles that undergird the exquisitely fine-tuned planet we call home--as if Someone had us in mind all along.

    It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of "data science" for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (or MOOC) offered by the pioneering MIT--Harvard collaboration edX.Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. The book does not require knowledge of mathematics beyond high school algebra, but does assume that readers are comfortable with rigorous thinking and not intimidated by mathematical concepts. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming.Introduction to Computation and Programming Using Python can serve as a stepping-stone to more advanced computer science courses, or as a basic grounding in computational problem solving for students in other disciplines.

    Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Python's implementation.How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clustersDeploy code faster using tools like Docker

    It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer science is not unlike learning any other type of difficult subject matter. The only way to be successful is through deliberate and incremental exposure to the fundamental ideas. A beginning computer scientist needs practice so that there is a thorough understanding before continuing on to the more complex parts of the curriculum. In addition, a beginner needs to be given the opportunity to be successful and gain confidence. This textbook is designed to serve as a text for a first course on data structures and algorithms, typically taught as the second course in the computer science curriculum. Even though the second course is considered more advanced than the first course, this book assumes you are beginners at this level. You may still be struggling with some of the basic ideas and skills from a first computer science course and yet be ready to further explore the discipline and continue to practice problem solving. We cover abstract data types and data structures, writing algorithms, and solving problems. We look at a number of data structures and solve classic problems that arise. The tools and techniques that you learn here will be applied over and over as you continue your study of computer science.

    The last of the Ivanoffs should have died in 1917. Now, two generations later, they are the prize--and the prey...From war-torn Russia to New York's teeming Lower East Side...from Ziegfeld's Broadway and the Hollywood of the moguls to contemporary Washington, Geneva, and Berlin, Elizabeth's Adler's novel of passion, power, and royal privilege will command your attention to the very last page.