Python For Informatics

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Python for Informatics

Author : Charles Severance
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781492339243
Total Pages : 0 pages
Book Rating : 4.3/5 (392 download)

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Book Synopsis Python for Informatics by : Charles Severance

Download or read book Python for Informatics written by Charles Severance and published by Createspace Independent Publishing Platform. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed to introduce students to programming and computational thinking through the lens of exploring data. You can think of Python as your tool to solve problems that are far beyond the capability of a spreadsheet. It is an easy-to-use and easy-to learn programming language that is freely available on Windows, Macintosh, and Linux computers. There are free downloadable copies of this book in various electronic formats and a self-paced free online course where you can explore the course materials. All the supporting materials for the book are available under open and remixable licenses at the www.py4inf.com web site. This book is designed to teach people to program even if they have no prior experience. This book covers Python 2. An updated version of this book that covers Python 3 is available and is titled, "Python for Everybody: Exploring Data in Python 3".

Python for Bioinformatics

Author : Jason Kinser
Publisher : Jones & Bartlett Publishers
ISBN 13 : 1449613071
Total Pages : 436 pages
Book Rating : 4.4/5 (496 download)

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Book Synopsis Python for Bioinformatics by : Jason Kinser

Download or read book Python for Bioinformatics written by Jason Kinser and published by Jones & Bartlett Publishers. This book was released on 2010-10-25 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the development of simple programming exercises. Important Notice: The digital edition of this book is missing some of the images or content found in the physical edition.

Python for Everybody

Author : Charles R. Severance
Publisher :
ISBN 13 : 9781530051120
Total Pages : 242 pages
Book Rating : 4.0/5 (511 download)

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Book Synopsis Python for Everybody by : Charles R. Severance

Download or read book Python for Everybody written by Charles R. Severance and published by . This book was released on 2016-04-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled "Python for Informatics: Exploring Information".There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course.

Methods in Medical Informatics

Author : Jules J. Berman
Publisher : CRC Press
ISBN 13 : 9781439841846
Total Pages : 413 pages
Book Rating : 4.8/5 (418 download)

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Book Synopsis Methods in Medical Informatics by : Jules J. Berman

Download or read book Methods in Medical Informatics written by Jules J. Berman and published by CRC Press. This book was released on 2010-09-22 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

A Primer on Scientific Programming with Python

Author : Hans Petter Langtangen
Publisher : Springer
ISBN 13 : 3662498871
Total Pages : 942 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis A Primer on Scientific Programming with Python by : Hans Petter Langtangen

Download or read book A Primer on Scientific Programming with Python written by Hans Petter Langtangen and published by Springer. This book was released on 2016-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Python for Informatics

Author : Charles Severance
Publisher : CreateSpace
ISBN 13 : 9781517143145
Total Pages : 246 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis Python for Informatics by : Charles Severance

Download or read book Python for Informatics written by Charles Severance and published by CreateSpace. This book was released on 2015-08-31 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Informatics (Korean edition) is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are far beyond the capability of a spreadsheet. It is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. This book is licensed Creative Commons Attribution Share-Alike license. There are free downloadable electronic copies of this book in various formats available at www.pythonlearn.com. There are also supporting materials for the book at www.pythonlearn.com.There is a self-paced Open Online Course available at online.dr-chuck.com that includes a complete set of video lectures and automatically graded assignments. The course materials are available for you to adapt to teach your own course.

Python for Linguists

Author : Michael Hammond
Publisher : Cambridge University Press
ISBN 13 : 1108493440
Total Pages : 313 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Python for Linguists by : Michael Hammond

Download or read book Python for Linguists written by Michael Hammond and published by Cambridge University Press. This book was released on 2020-05-07 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to Python programming for linguists. Examples of code specifically designed for language analysis are featured throughout.

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Hands on Data Science for Biologists Using Python

Author : Yasha Hasija
Publisher : CRC Press
ISBN 13 : 1000345505
Total Pages : 243 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Hands on Data Science for Biologists Using Python by : Yasha Hasija

Download or read book Hands on Data Science for Biologists Using Python written by Yasha Hasija and published by CRC Press. This book was released on 2021-04-09 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language. The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples. Features of this book: The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners. This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases. Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting. Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems. Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

Programming for Computations - Python

Author : Svein Linge
Publisher : Springer
ISBN 13 : 3319324284
Total Pages : 244 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Programming for Computations - Python by : Svein Linge

Download or read book Programming for Computations - Python written by Svein Linge and published by Springer. This book was released on 2016-07-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Earth Observation Using Python

Author : Rebekah B. Esmaili
Publisher : John Wiley & Sons
ISBN 13 : 1119606888
Total Pages : 308 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Earth Observation Using Python by : Rebekah B. Esmaili

Download or read book Earth Observation Using Python written by Rebekah B. Esmaili and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn basic Python programming to create functional and effective visualizations from earth observation satellite data sets Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks. Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research. Gain Python fluency using real data and case studies Read and write common scientific data formats, like netCDF, HDF, and GRIB2 Create 3-dimensional maps of dust, fire, vegetation indices and more Learn to adjust satellite imagery resolution, apply quality control, and handle big files Develop useful workflows and learn to share code using version control Acquire skills using online interactive code available for all examples in the book The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about this book from this Q&A with the Author

Python informatics

Author : Charles R. Severance
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (828 download)

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Book Synopsis Python informatics by : Charles R. Severance

Download or read book Python informatics written by Charles R. Severance and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Python

Author : James R. Parker, PhD
Publisher : Mercury Learning and Information
ISBN 13 : 194453475X
Total Pages : 600 pages
Book Rating : 4.9/5 (445 download)

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Book Synopsis Python by : James R. Parker, PhD

Download or read book Python written by James R. Parker, PhD and published by Mercury Learning and Information. This book was released on 2016-11-14 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an introduction to programming concepts that uses Python 3 as the target language. It follows a practical just-in-time presentation – material is given to the student when it is needed. Many examples will be based on games, because Python has become the language of choice for basic game development. Designed as a Year One textbook for introduction to programming classes or for the hobbyist who wants to learn the fundamentals of programming, the text assumes no programming experience. Features: * Introduces programming concepts that use Python 3 * Includes many examples based on video game development * 4-color throughout with game demos on the companion files

An Introduction to Healthcare Informatics

Author : Peter Mccaffrey
Publisher : Academic Press
ISBN 13 : 0128149167
Total Pages : 342 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis An Introduction to Healthcare Informatics by : Peter Mccaffrey

Download or read book An Introduction to Healthcare Informatics written by Peter Mccaffrey and published by Academic Press. This book was released on 2020-07-29 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools. The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves. Presents case-based learning relevant to healthcare, bringing each concept accompanied by an example which becomes critical when explaining the function of SQL, databases, basic models etc. Provides a roadmap for implementing modern technologies and design patters in a healthcare setting, helping the reader to understand both the archaic enterprise systems that often exist in hospitals as well as emerging tools and how they can be used together Explains healthcare-specific stakeholders and the management of analytical projects within healthcare, allowing healthcare practitioners to successfully navigate the political and bureaucratic challenges to implementation Brings diagrams for each example and technology describing how they operate individually as well as how they fit into a larger reference architecture built upon throughout the book

Introduction to Programming Using Python

Author : Y. Daniel Liang
Publisher :
ISBN 13 : 9780132747189
Total Pages : 0 pages
Book Rating : 4.7/5 (471 download)

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Book Synopsis Introduction to Programming Using Python by : Y. Daniel Liang

Download or read book Introduction to Programming Using Python written by Y. Daniel Liang and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Programming Using Python is intended for use in the introduction to programming course. Daniel Liang is known for his “fundamentals-first” approach to teaching programming concepts and techniques.

Elements of Scientific Computing

Author : Aslak Tveito
Publisher : Springer Science & Business Media
ISBN 13 : 3642112994
Total Pages : 471 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Elements of Scientific Computing by : Aslak Tveito

Download or read book Elements of Scientific Computing written by Aslak Tveito and published by Springer Science & Business Media. This book was released on 2010-09-24 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas that carry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming.

Practical Channel-Aware Resource Allocation

Author : Michael Ghorbanzadeh
Publisher : Springer Nature
ISBN 13 : 3030736326
Total Pages : 228 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Practical Channel-Aware Resource Allocation by : Michael Ghorbanzadeh

Download or read book Practical Channel-Aware Resource Allocation written by Michael Ghorbanzadeh and published by Springer Nature. This book was released on 2021-07-08 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry.