For bioinformatics, which language should I learn first?
Best Programming Language For Biology on March 2024 Shopping Deals at Bestonio.com
Learning to program is one of the best investments that you can make for your research and your career. Python for biologists is a complete programming course for beginners that will give you the skills you need to tackle common biological and bioinformatics problems. Why learn programming? Maybe you see colleagues writing programs to save time an... [Read More]
Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully utilize the medical information contained in clini... [Read More]
This Python book Includes 3 Books: Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Here's what you'... [Read More]
Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how i... [Read More]
Inspiration fresh from the studios of 131 master artists! A celebration of creative drawing, the Strokes of Genius series showcases standout work from today's top artists. This 8th volume focuses on how artists use texture to bring life and depth to subjects ranging from soulful portraits and expressive still lifes, to beautiful landscapes and puls... [Read More]
Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author’s first-hand e... [Read More]
Berwick and Chomsky draw on recent developments in linguistic theory to offer an evolutionary account of language and humans' remarkable, species-specific ability to acquire it.“A loosely connected collection of four essays that will fascinate anyone interested in the extraordinary phenomenon of language.”—New York Review of BooksWe are born ... [Read More]
Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by th... [Read More]
TEX has always been regarded as the most elegant and powerful system for computer typesetting. However, its widespread use, beyond academia, was hampered by its complexity. Recently, fairly good TEX implementations have come out for PCs putting TEX on the desks of many people: writers, designers, desktop publishers, engineers, and consequently, the... [Read More]
R is now the most widely used statistical software in academic science and it is rapidly expanding into other fields such as finance. R is almost limitlessly flexible and powerful, hence its appeal, but can be very difficult for the novice user. There are no easy pull-down menus, error messages are often cryptic and simple tasks like importing your... [Read More]
R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.Doing for R what Everitt's other Handbooks have done for S-PLUS, STA... [Read More]
Summary Get Programming with Node.js Get Programming with Node.js teaches you to write server-side code in JavaScript using Node.js. In 37 fast-paced, fun, and practical lessons, you'll discover how to extend your existing JavaScript skills to write back-end code for your web applications. Foreword by Kyle Simpson. Purchase of the print book includ... [Read More]
MATLAB: A Practical Introduction to Programming and Problem Solving, Fourth Edition, winner of a 2017 Textbook Excellence Award (Texty), has been updated to reflect the functionality of the current version of MATLAB, including the new H2 Graphics system. It features new and revised end of chapter exercises, more engineering applications to help the... [Read More]
Our Introduction to Computer Science Set provides the perfect introduction to Computer Science and includes topics such as: What is Computer Science?; Programming Languages; Computer Science Careers
★ Python Made Easy – a Step-by-Step Guide for Beginners ★Learning a programming language can seem like a daunting task. You may have looked at coding in the past, and felt it was too complicated and confusing. This comprehensive beginner’s guide will take you step by step through learning one of the best programming languages out there. In ... [Read More]
Increasingly, scientists find themselves facing exponentially larger data sets and analyses without suitable tools to deal with them. Many biologists end up using spreadsheet programs for most of their data-processing tasks and spend hours clicking around or copying and pasting, and then repeating the process for other data files.Practical Computin... [Read More]
Python is rapidly becoming the standard language for many talks in scientific research, and is particularly popular in biology and bioinformatics. One of the great strengths of Python is the ecosystem of tools and libraries that have grown up around it. This book introduces the novice biologist programmer to tools and techniques that make developi... [Read More]
Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing and designing ... [Read More]
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