There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers.Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by reading Python Programming for Beginners: When to use Python 2 and when to use Python 3. How to install Python on Windows, Mac, and Linux. Screenshots included. How to prepare your computer for programming in Python. The various ways to run a Python program on Windows, Mac, and Linux. Suggested text editors and integrated development environments to use when coding in Python. How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more. What variables are and when to use them. How to perform mathematical operations using Python. How to capture input from a user. Ways to control the flow of your programs. The importance of white space in Python. How to organize your Python programs -- Learn what goes where. What modules are, when you should use them, and how to create your own. How to define and use functions. Important built-in Python functions that you'll use often. How to read from and write to files. The difference between binary and text files. Various ways of getting help and find Python documentation. Much more... Every single code example in the book is available to download, providing you with all the Python code you need at your fingertips! Scroll up, click the Buy Now With 1 Click button and get started learning Python today!

    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.

    With little prelude she is thrown into the deep end of a gritty farming life in a man's world. A life of hard work on untamed lands, a two year odyssey through the outback, and months spent in a remote Aboriginal community, reveal to Sue the very character of the Australian landscape. This is the story of one woman's metamorphosis, from timid, imaginative child to resilient, worldly woman - a profound journey of self discovery through tragedy, unfettered and often life-threatening adventure, and overwhelming joy.

    Carter would participate in a number of expeditions against the Comanche and other tribes in the Texas-area. It was during one of these campaigns that he was brevetted first lieutenant and awarded the Medal of Honor for his "most distinguished gallantry" against the Comanche in Blanco Canyon on a tributary of the Brazos River on October 10, 1871. He became a successful author in his later years writing several books based on his military career, including On the Border with Mackenzie (1935), as well as a series of booklets detailing his years as an Indian fighter on the Texas frontier. Carter writes: "IT IS nearly fifty years since these tragedies occurred. There are few survivors. The writer is, perhaps, the only one. This is written in the vague hope that this chronicle of the events of that period may possibly prove of some lasting and, perhaps, historical value to posterity. "The country all about the scene of these tragical events—the Texas Panhandle—was then wild, unsettled, covered with sage brush, scrub oak and chaparral, and its only inhabitants were Indians, buffalo, lobo wolves, coyotes, jack-rabbits, prairie-dogs and rattlesnakes, with here and there a few scattered herds of antelope. The railroad, that great civilizing agency, the telegraph, the telephone, and the many other marvelous inventions of man, have wrought such a wonderful transformation in our great western country that the American Indian will, if he has not already, become a race of the past, and history alone will record the remarkable deeds and strange career of an almost extinct people. With these miraculous changes has come the total extermination of the buffalo—the Indians' migratory companion and source of living—and pretty much all of the wild game that in almost countless numbers freely roamed those vast prairies. Where now the railroads girdle that country the nomadic redman lived his free and careless life and the bison thrived and roamed undisturbed at that period— where are now the appliances of modern civilization, and prosperous communities, then nothing but desolation reigned for many miles around. "In the expansion and peopling of this vast country, our little Army was most closely identified. In fact, it was the pioneer of civilization. The life was full of danger, hardships, privations, and sacrifices, little known or appreciated by the present generation. "Where populous towns, ranches and well-tilled farms, grain fields, orchards, and oil "gushers" are now located, with railroads either running through or near them, we were making trails, upon which the main roads now run, in search of hostile savages, for the purpose of punishing them or compelling them to go into the Indian reservations, and to permit the settlers, then held back by the murderous acts of these redskins, to advance and spread the civilization of the white man throughout the western tiers of counties in that far-off western panhandle of Texas."

    Hemostasis and coagulation theory, testing, and instrumentation are also thoroughly discussed. Beautiful full-color illustrations throughout the text enhance comprehension and allow students to realistically visualize hematology concepts.Detailed, full-color illustrations appear near hematology concept discussions to visually support comprehension and recognition.Opening Case Studies present real-life scenarios to apply concepts presented in each chapter.Learning Objectives and Review Questions work together to list expected outcomes and then test those concepts for each chapter.A Bulleted Summary highlights the key concepts at the end of each chapter.Hematology/Hemostasis Reference Ranges inside the front and back covers provide quick reference.Three new chapters detail significant information: An Overview of Clinical Laboratory Hematology, Hematology in Selected Populations, and Monitoring Anticoagulant Therapy.All chapters have been revised to feature the most current technology and research updates.The included Glossary of Terms and consistent pedagogy ensure a cohesive, effective tool for learning.Two well-respected editors contributed more significantly to this third edition: George Fritsma shared his expertise for the Hemostasis section and Kathy Doig managed the pedagogical features.

    Integration is treated before differentiation -- this is a departure from most modern texts, but it is historically correct, and it is the best way to establish the true connection between the integral and the derivative. Proofs of all the important theorems are given, generally preceded by geometric or intuitive discussion. This Second Edition introduces the mean-value theorems and their applications earlier in the text, incorporates a treatment of linear algebra, and contains many new and easier exercises. As in the first edition, an interesting historical introduction precedes each important new concept.

    More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills. This Schaum's Outline gives you:  Practice problems with full explanations that reinforce knowledge Coverage of the most up-to-date developments in your course field In-depth review of practices and applications Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores! Schaum's Outlines-Problem Solved.

    Linear algebra is tightly integrated into the text.

    The Art of Problem Solving, Volume 2, is the classic problem solving textbook used by many successful high school math teams and enrichment programs and have been an important building block for students who, like the authors, performed well enough on the American Mathematics Contest series to qualify for the Math Olympiad Summer Program which trains students for the United States International Math Olympiad team.Volume 2 is appropriate for students who have mastered the problem solving fundamentals presented in Volume 1 and are ready for a greater challenge. Although the Art of Problem Solving is widely used by students preparing for mathematics competitions, the book is not just a collection of tricks. The emphasis on learning and understanding methods rather than memorizing formulas enables students to solve large classes of problems beyond those presented in the book.Speaking of problems, the Art of Problem Solving, Volume 2, contains over 500 examples and exercises culled from such contests as the Mandelbrot Competition, the AMC tests, and ARML. Full solutions (not just answers!) are available for all the problems in the solution manual.

    Python is easy to learn, and it's perfect for exploring topics like statistics, geometry, probability, and calculus. You’ll learn to write programs to find derivatives, solve equations graphically, manipulate algebraic expressions, even examine projectile motion.Rather than crank through tedious calculations by hand, you'll learn how to use Python functions and modules to handle the number crunching while you focus on the principles behind the math. Exercises throughout teach fundamental programming concepts, like using functions, handling user input, and reading and manipulating data. As you learn to think computationally, you'll discover new ways to explore and think about math, and gain valuable programming skills that you can use to continue your study of math and computer science.If you’re interested in math but have yet to dip into programming, you’ll find that Python makes it easy to go deeper into the subject—let Python handle the tedious work while you spend more time on the math.

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    It is the only book that teaches the strategies of C++ API development, including interface design, versioning, scripting, and plug-in extensibility. Drawing from the author's experience on large scale, collaborative software projects, the text offers practical techniques of API design that produce robust code for the long term. It presents patterns and practices that provide real value to individual developers as well as organizations.API Design for C++ explores often overlooked issues, both technical and non-technical, contributing to successful design decisions that product high quality, robust, and long-lived APIs. It focuses on various API styles and patterns that will allow you to produce elegant and durable libraries. A discussion on testing strategies concentrates on automated API testing techniques rather than attempting to include end-user application testing techniques such as GUI testing, system testing, or manual testing. Each concept is illustrated with extensive C++ code examples, and fully functional examples and working source code for experimentation are available online.This book will be helpful to new programmers who understand the fundamentals of C++ and who want to advance their design skills, as well as to senior engineers and software architects seeking to gain new expertise to complement their existing talents. Three specific groups of readers are targeted: practicing software engineers and architects, technical managers, and students and educators.

    The 'CCNA Portable Command Guide' is a supplementary guide to assist network administrators in the proper use of the Cisco IOS and of the commands needed to pass the CCNA vendor exam.

    

    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.