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Python Programming for Biology

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those who want to learn more about computational biology. The chapters guide the reader through: a complete beginners’ course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.

Essential Algorithms

The publisher and the author make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation warranties of fitness for a particular purpose. No warranty may be created or extended by sales or promotional materials. The advice and strategies contained herein may not be suitable for every situation. This work is sold with the understanding that the publisher is not engaged in rendering legal, accounting, or other professional services. If professional assistance is required, the services of a competent professional person should be sought. Neither the publisher nor the author shall be liable for damages arising herefrom. The fact that an organization or Web site is referred to in this work as a citation and/or a potential source of further information does not mean that the author or the publisher endorses the information the organization or website may provide or recommendations it may make. Further, readers should be aware that Internet websites listed in this work may have changed or disappeared between when this work was written and when it is read.

Rapid Java Persistence and Microservices

Having described the state of the Java ecosystem and the overall problems due to the vast variety of technologies that exist, we will start our journey in this book by introducing different frameworks for developing microservices as well as bigger applications in the next chapter. After that, we will take a deep dive into the most important layer of any application—persistence. After that, we will see all the challenges in the microservices architecture in Part II of the book.

Бобурнома.

Бобурнома Бобурнинг улуғ подшоҳларга ҳос саккиз шахсий фазилатини қайд этган.

Верховный алгоритм

Машинное обучение преображает науку, технологию, бизнес и позволяет глубже узнать природу и человеческое поведение. Программирующие сами себя компьютеры — одна из самых важных современных технологий, и она же — одна из самых таинственных. Ученый-практик Педро Домингос приоткрывает завесу и впервые доступно рассказывает о машинном обучении и о поиске универсального обучающегося алгоритма, который сможет выуживать любые знания из данных и решать любые задачи. Чтобы заглянуть в будущее и узнать, как машинное обучение изменит наш мир, не нужно специального технического образования — достаточно прочитать эту книгу.

Косыкшылык онеримиздин Байтереги

Косыкшы байтереги

ОСНОВЫ АНАЛИЗА БЕСКОНЕЧНО МАЛЫХ

В книге дается краткое изложение элементов математического анализа (т. е. дифференциального и интегрального исчислений), доступное для учащихся старших классов средней школы. Книга может служить учебним пособием для школ с математическим уклоном, а также для вузов с небольшой программой по математике.

Python ® for Programmers

Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and the publisher was aware of a trademark claim, the designations have been printed with initial capital letters or in all capitals. The authors and publisher have taken care in the preparation of this book, but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein.

Machine Learning For Absolute Beginners

INTRODUCTION Machines have come a long way since the Industrial Revolution. They continue to fill factory floors and manufacturing plants, but now their capabilities extend beyond manual activities to cognitive tasks that, until recently, only humans were capable of performing. Judging song competitions, driving automobiles, and mopping the floor with professional chess players are three examples of the specific complex tasks machines are now capable of simulating. But their remarkable feats trigger fear among some observers. Part of this fear nestles on the neck of survivalist insecurities, where it provokes the deep-seated question of what if? What if intelligent machines turn on us in a struggle of the fittest? What if intelligent machines produce offspring with capabilities that humans never intended to impart to machines

Artificial Intelligence

You can hardly avoid encountering mentions of AI today. You see AI in the movies, in books, in the news, and online. AI is part of robots, self-driving cars, drones, medical systems, online shopping sites, and all sorts of other technologies that affect your daily life in so many ways.

ДЖ. Кади количественные методы в экономике

Предлагаемая вниманию советских читателей книга Дж. Кади посвящена описанию количествен ных методов, применяемых в современном эмпири- ческом экономическом анализе. В первой части книги излагаются основы теории вероятности, тео- рии оценивания и проверки гипотез. Во второй части рассматривается методика выявления коли- чественных связей между экономическими показа телями на основе приложения принципов матема- тической статистики к обработке отчетных стати стических данных и анализ этих связей с точки зрения их экономического содержания и формаль ного математического выражения. Книга представит интерес для специалистов, занимающихся различными вопросами экономико- математического моделирования.

Python Deep Learning

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Learn to Program with Python 3

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark.

CHOLG‘U IJROCHILIGI RUBOB

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Mastering Laravel

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Python Testing with pytest

Please don't break this trust—you can use this across all of your devices but please do not share this copy with other members of your team, with friends, or via file sharing services. Thanks. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf and the linking g device are trademarks of The Pragmatic Programmers, LLC.