Book picks similar to
How to Think About Analysis by Lara Alcock
mathematics
math
maths
real-analysis
The Craft of Research
Wayne C. Booth - 1995
Seasoned researchers and educators Gregory G. Colomb and Joseph M. Williams present an updated third edition of their classic handbook, whose first and second editions were written in collaboration with the late Wayne C. Booth. The Craft of Research explains how to build an argument that motivates readers to accept a claim; how to anticipate the reservations of readers and to respond to them appropriately; and how to create introductions and conclusions that answer that most demanding question, “So what?” The third edition includes an expanded discussion of the essential early stages of a research task: planning and drafting a paper. The authors have revised and fully updated their section on electronic research, emphasizing the need to distinguish between trustworthy sources (such as those found in libraries) and less reliable sources found with a quick Web search. A chapter on warrants has also been thoroughly reviewed to make this difficult subject easier for researchers Throughout, the authors have preserved the amiable tone, the reliable voice, and the sense of directness that have made this book indispensable for anyone undertaking a research project.
Salt, Fat, Acid, Heat: Mastering the Elements of Good Cooking
Samin Nosrat - 2017
Chef and writer Samin Nosrat has taught everyone from professional chefs to middle school kids to author Michael Pollan to cook using her revolutionary, yet simple, philosophy. Master the use of just four elements—Salt, which enhances flavor; Fat, which delivers flavor and generates texture; Acid, which balances flavor; and Heat, which ultimately determines the texture of food—and anything you cook will be delicious. By explaining the hows and whys of good cooking, Salt, Fat, Acid, Heat will teach and inspire a new generation of cooks how to confidently make better decisions in the kitchen and cook delicious meals with any ingredients, anywhere, at any time. Echoing Samin’s own journey from culinary novice to award-winning chef, Salt, Fat Acid, Heat immediately bridges the gap between home and professional kitchens. With charming narrative, illustrated walkthroughs, and a lighthearted approach to kitchen science, Samin demystifies the four elements of good cooking for everyone. Refer to the canon of 100 essential recipes—and dozens of variations—to put the lessons into practice and make bright, balanced vinaigrettes, perfectly caramelized roast vegetables, tender braised meats, and light, flaky pastry doughs. Featuring 150 illustrations and infographics that reveal an atlas to the world of flavor by renowned illustrator Wendy MacNaughton, Salt, Fat, Acid, Heat will be your compass in the kitchen. Destined to be a classic, it just might be the last cookbook you’ll ever need. With a foreword by Michael Pollan.
Ordinary Differential Equations
Morris Tenenbaum - 1985
Subsequent sections deal with integrating factors; dilution and accretion problems; linearization of first order systems; Laplace Transforms; Newton's Interpolation Formulas, more.
Mathematical Mysteries: The Beauty and Magic of Numbers
Calvin C. Clawson - 1996
This recreational math book takes the reader on a fantastic voyage into the world of natural numbers. From the earliest discoveries of the ancient Greeks to various fundamental characteristics of the natural number sequence, Clawson explains fascinating mathematical mysteries in clear and easy prose. He delves into the heart of number theory to see and understand the exquisite relationships among natural numbers, and ends by exploring the ultimate mystery of mathematics: the Riemann hypothesis, which says that through a point in a plane, no line can be drawn parallel to a given line.While a professional mathematician's treatment of number theory involves the most sophisticated analytical tools, its basic ideas are surprisingly easy to comprehend. By concentrating on the meaning behind various equations and proofs and avoiding technical refinements, Mathematical Mysteries lets the common reader catch a glimpse of this wonderful and exotic world.
The Body: A Guide for Occupants
Bill Bryson - 2019
Full of extraordinary facts and astonishing stories, The Body: A Guide for Occupants is a brilliant, often very funny attempt to understand the miracle of our physical and neurological make up.A wonderful successor to A Short History of Nearly Everything, this book will have you marvelling at the form you occupy, and celebrating the genius of your existence, time and time again.
How to Become a Straight-A Student
Cal Newport - 2006
But Cal Newport knows that real straight-A students don't study harder--they study smarter. A breakthrough approach to acing academic assignments, from quizzes and exams to essays and papers, "How to Become a Straight-A Student" reveals for the first time the proven study secrets of real straight-A students across the country and weaves them into a simple, practical system that anyone can master. You will learn how to: Streamline and maximize your study time Conquer procrastinationAbsorb the material quickly and effectivelyKnow which reading assignments are critical--and which are notTarget the paper topics that wow professorsProvide A+ answers on examsWrite stellar prose without the agony A strategic blueprint for success that promises more free time, more fun, and top-tier results, "How to Become a Straight-A Student" is the only study guide written by students for students--with the insider knowledge and real-world methods to help you master the college system and rise to the top of the class.
Introduction to Probability
Dimitri P. Bertsekas - 2002
This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.
Real Analysis
H.L. Royden - 1963
Dealing with measure theory and Lebesque integration, this is an introductory graduate text.
How to Take Smart Notes: One Simple Technique to Boost Writing, Learning and Thinking – for Students, Academics and Nonfiction Book Writers
Sönke Ahrens - 2017
This book helps students, academics and nonfiction writers to get more done, write intelligent texts and learn for the long run. It teaches you how to take smart notes and ensure they bring you and your projects forward. The Take Smart Notes principle is based on established psychological insight and draws from a tried and tested note-taking-technique. This is the first comprehensive guide and description of this system in English, and not only does it explain how it works, but also why. It suits students and academics in the social sciences and humanities, nonfiction writers and others who are in the business of reading, thinking and writing. Instead of wasting your time searching for notes, quotes or references, you can focus on what really counts: thinking, understanding and developing new ideas in writing. It does not matter if you prefer taking notes with pen and paper or on a computer, be it Windows, Mac or Linux. And you can start right away.
Learn Python The Hard Way
Zed A. Shaw - 2010
The title says it is the hard way to learn to writecode but it’s actually not. It’s the “hard” way only in that it’s the way people used to teach things. In this book youwill do something incredibly simple that all programmers actually do to learn a language: 1. Go through each exercise. 2. Type in each sample exactly. 3. Make it run.That’s it. This will be very difficult at first, but stick with it. If you go through this book, and do each exercise for1-2 hours a night, then you’ll have a good foundation for moving on to another book. You might not really learn“programming” from this book, but you will learn the foundation skills you need to start learning the language.This book’s job is to teach you the three most basic essential skills that a beginning programmer needs to know:Reading And Writing, Attention To Detail, Spotting Differences.
Mathematical Methods for Physicists
George B. Arfken - 1970
This work includes differential forms and the elegant forms of Maxwell's equations, and a chapter on probability and statistics. It also illustrates and proves mathematical relations.
A New Kind of Science
Stephen Wolfram - 1997
Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton
Mastering Bitcoin: Unlocking Digital Cryptocurrencies
Andreas M. Antonopoulos - 2014
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
Site Reliability Engineering: How Google Runs Production Systems
Betsy Beyer - 2016
So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems?In this collection of essays and articles, key members of Google's Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You'll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient--lessons directly applicable to your organization.This book is divided into four sections: Introduction--Learn what site reliability engineering is and why it differs from conventional IT industry practicesPrinciples--Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE)Practices--Understand the theory and practice of an SRE's day-to-day work: building and operating large distributed computing systemsManagement--Explore Google's best practices for training, communication, and meetings that your organization can use
