Just the facts (and figures) to understanding algebra. The Complete Idiot's Guide® to Algebra has been updated to include easier-to-read graphs and additional practice problems. It covers variationsof standard problems that will assist students with their algebra courses, along with all the basic concepts, including linear equations and inequalities, polynomials, exponents and logarithms, conic sections, discrete math, word problemsand more. -Written in an easy-to-comprehend style to make math concepts approachable -Award-winning math teacher and author of The Complete Idiot's Guide® to Calculus and the bestselling advanced placement book in ARCO's "Master" series Download a sample chapter.
In this Introduction' we shall sketch the business of ontology, or metaphysics, and shall locate it on the map of learning. This has to be done because there are many ways of construing the word 'ontology' and because of the bad reputation metaphysics has suffered until recently - a well deserved one in most cases. 1. ONTOLOGICAL PROBLEMS Ontological (or metaphysical) views are answers to ontological ques tions. And ontological (or metaphysical) questions are questions with an extremely wide scope, such as 'Is the world material or ideal - or perhaps neutral?" 'Is there radical novelty, and if so how does it come about?', 'Is there objective chance or just an appearance of such due to human ignorance?', 'How is the mental related to the physical?', 'Is a community anything but the set of its members?', and 'Are there laws of history?'. Just as religion was born from helplessness, ideology from conflict, and technology from the need to master the environment, so metaphysics - just like theoretical science - was probably begotten by the awe and bewilderment at the boundless variety and apparent chaos of the phenomenal world, i. e. the sum total of human experience. Like the scientist, the metaphysician looked and looks for unity in diversity, for pattern in disorder, for structure in the amorphous heap of phenomena - and in some cases even for some sense, direction or finality in reality as a whole.
The 54 essential tips that all Excel users need to know. MrExcel LIVe provides users with a concise book that can be absorbed in under an hour. Includes a section with keyboard shortcuts. Anyone who uses Excel will be able to turn to any page and pick up tips that will save them hours of work.
The eagerly anticipated new edition of the bestselling introduction to x86 assembly language The long-awaited third edition of this bestselling introduction to assembly language has been completely rewritten to focus on 32-bit protected-mode Linux and the free NASM assembler. Assembly is the fundamental language bridging human ideas and the pure silicon hearts of computers, and popular author Jeff Dunteman retains his distinctive lighthearted style as he presents a step-by-step approach to this difficult technical discipline. He starts at the very beginning, explaining the basic ideas of programmable computing, the binary and hexadecimal number systems, the Intel x86 computer architecture, and the process of software development under Linux. From that foundation he systematically treats the x86 instruction set, memory addressing, procedures, macros, and interface to the C-language code libraries upon which Linux itself is built. Serves as an ideal introduction to x86 computing concepts, as demonstrated by the only language directly understood by the CPU itself Uses an approachable, conversational style that assumes no prior experience in programming of any kind Presents x86 architecture and assembly concepts through a cumulative tutorial approach that is ideal for self-paced instruction Focuses entirely on free, open-source software, including Ubuntu Linux, the NASM assembler, the Kate editor, and the Gdb/Insight debugger Includes an x86 instruction set reference for the most common machine instructions, specifically tailored for use by programming beginners Woven into the presentation are plenty of assembly code examples, plus practical tips on software design, coding, testing, and debugging, all using free, open-source software that may be downloaded without charge from the Internet.
If you have tried to implement Agile in your organization, you have probably learned a lot about development practices, teamwork, processes and tools, but too little about how to manage such an organization. Yet managerial support is often the biggest impediment to successfully adopting Agile, and limiting your Agile efforts to those of the development teams while doing the same old-style management will dramatically limit the ability of your organization to reach the next Agile level. Ángel Medinilla will provide you with a comprehensive understanding of what Agile means to an organization and the manager’s role in such an environment, i.e., how to manage, lead and motivate self-organizing teams and how to create an Agile corporate culture. Based on his background as a “veteran” Agile consultant for companies of all sizes, he delivers insights and experiences, points out possible pitfalls, presents practical approaches and possible scenarios, also including detailed suggestions for further reading. If you are a manager, team leader, evangelist, change agent (or whatever nice title) and if you want to push Agile further in your organization, then this is your book. You will read how to change the paradigm of what management is about: it is not about arbitrary decisions, constant supervision and progress control, and the negotiation of changing requirements. It is about motivation, self-organization, responsibility, and the exploitation of all project stakeholders’ knowledge. We live in a different world than the one that most management experts of the 20th century describe, and companies that strive for success and excellence will need a new kind of manager – Agile managers.
Always study with the most up-to-date prep! Look for GMAT Complete 2021, ISBN 9781506262406, on sale June 02, 2020. Publisher's Note: Products purchased from third-party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitles included with the product.
A second edition of our popular test prep guide for the OAT (Optometry Admission Test). Revised to reflect recent changes to the exam and expanded (by 30%) for even more in-depth content coverage! Getting into optometry school is tough, and Cracking the OAT gives future optometrists a leg up on that difficult process. With comprehensive content review and tons of practice, it contains everything you need to tackle the Natural Sciences, Reading Comprehension, Physics, and Quantitative Reasoning sections of the exam. Cracking the OAT, 2nd Edition includes: - Access to 2 full-length practice tests online, with detailed answer explanations - Extensive reviews of OAT physics (covering electricity, mechanics, kinematics, and more), math, reading comprehension, biology, general chemistry, and organic chemistry - Tons of illustrations, diagrams, and tables - End-of-chapter summaries with critical info and formulas - Step-by-step problem-solving guides for the toughtest question types - Nearly 250 in-book practice problems, plus online extras including practice drills and key terms lists - Key OAT strategies to help you work smarter, not harder This 2nd edition reflects recent changes made to the OAT in 2017, with expanded content review & practice sections based on consumer feedback from the 1st edition.
The Effect: An Introduction to Research Design and Causality is about research design, specifically concerning research that uses observational data to make a causal inference. It is separated into two halves, each with different approaches to that subject. The first half goes through the concepts of causality, with very little in the way of estimation. It introduces the concept of identification thoroughly and clearly and discusses it as a process of trying to isolate variation that has a causal interpretation. Subjects include heavy emphasis on data-generating processes and causal diagrams. Concepts are demonstrated with a heavy emphasis on graphical intuition and the question of what we do to data. When we “add a control variable” what does that actually do? Key Features: • Extensive code examples in R, Stata, and Python • Chapters on overlooked topics in econometrics classes: heterogeneous treatment effects, simulation and power analysis, new cutting-edge methods, and uncomfortable ignored assumptions • An easy-to-read conversational tone • Up-to-date coverage of methods with fast-moving literatures like difference-in-differences