Research Software Engineering With Python

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Research Software Engineering with Python

Damien Irving,Kate Hertweck,Luke Johnston,Joel Ostblom,Charlotte Wickham,Greg Wilson
Research Software Engineering with Python Book PDF

Author : Damien Irving,Kate Hertweck,Luke Johnston,Joel Ostblom,Charlotte Wickham,Greg Wilson
Publisher : CRC Press
Page : 528 pages
File Size : 48,7 Mb
Release : 2021-08-06
Category : Computers
ISBN : 9781000417128

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Research Software Engineering with Python by Damien Irving,Kate Hertweck,Luke Johnston,Joel Ostblom,Charlotte Wickham,Greg Wilson Pdf

Writing and running software is now as much a part of science as telescopes and test tubes, but most researchers are never taught how to do either well. As a result, it takes them longer to accomplish simple tasks than it should, and it is harder for them to share their work with others than it needs to be. This book introduces the concepts, tools, and skills that researchers need to get more done in less time and with less pain. Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists, it covers everything graduate-level researchers need to automate their workflows, collaborate with colleagues, ensure that their results are trustworthy, and publish what they have built so that others can build on it. The book assumes only a basic knowledge of Python as a starting point, and shows readers how it, the Unix shell, Git, Make, and related tools can give them more time to focus on the research they actually want to do. Research Software Engineering with Python can be used as the main text in a one-semester course or for self-guided study. A running example shows how to organize a small research project step by step; over a hundred exercises give readers a chance to practice these skills themselves, while a glossary defining over two hundred terms will help readers find their way through the terminology. All of the material can be re-used under a Creative Commons license, and all royalties from sales of the book will be donated to The Carpentries, an organization that teaches foundational coding and data science skills to researchers worldwide.

Research Software Engineering with Python

Damien Irving,Kate Hertweck,Luke Johnston
Research Software Engineering with Python Book PDF

Author : Damien Irving,Kate Hertweck,Luke Johnston
Publisher : Unknown
Page : 532 pages
File Size : 41,6 Mb
Release : 2021
Category : Computer software
ISBN : 0367698323

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Research Software Engineering with Python by Damien Irving,Kate Hertweck,Luke Johnston Pdf

Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists, this book covers everything graduate-level researchers need to automate their workflows, collaborate with colleagues, and ensure that their results are trustworthy.

Hands-On Software Engineering with Python

Brian Allbee
Hands On Software Engineering with Python Book PDF

Author : Brian Allbee
Publisher : Packt Publishing Ltd
Page : 736 pages
File Size : 49,9 Mb
Release : 2018-10-26
Category : Computers
ISBN : 9781788621359

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Hands-On Software Engineering with Python by Brian Allbee Pdf

Explore various verticals in software engineering through high-end systems using Python Key FeaturesMaster the tools and techniques used in software engineeringEvaluates available database options and selects one for the final Central Office system-componentsExperience the iterations software go through and craft enterprise-grade systemsBook Description Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation. What you will learnUnderstand what happens over the course of a system's life (SDLC)Establish what to expect from the pre-development life cycle stepsFind out how the development-specific phases of the SDLC affect developmentUncover what a real-world development process might be like, in an Agile wayFind out how to do more than just write the codeIdentify the existence of project-independent best practices and how to use themFind out how to design and implement a high-performance computing processWho this book is for Hands-On Software Engineering with Python is for you if you are a developer having basic understanding of programming and its paradigms and want to skill up as a senior programmer. It is assumed that you have basic Python knowledge.

Research Software Engineering

Matthias Bannert
Research Software Engineering Book PDF

Author : Matthias Bannert
Publisher : CRC Press
Page : 187 pages
File Size : 43,5 Mb
Release : 2024-04-17
Category : Business & Economics
ISBN : 9781040005132

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Research Software Engineering by Matthias Bannert Pdf

Research Software Engineering: A Guide to the Open Source Ecosystem strives to give a big-picture overview and an understanding of the opportunities of programming as an approach to analytics and statistics. The book argues that a solid "programming" skill level is not only well within reach for many but also worth pursuing for researchers and business analysts. The ability to write a program leverages field-specific expertise and fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many senior researchers and mentors, alongside non-computer science curricula lack a basic software engineering component. This book fills the gap by providing a dedicated programming-with-data resource to both academic scholars and practitioners. Key Features overview: breakdown of complex data science software stacks into core components applied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source software reader guidance: different entry points and rich references to deepen the understanding of selected aspects

Introduction to Scientific Programming with Python

Joakim Sundnes
Introduction to Scientific Programming with Python Book PDF

Author : Joakim Sundnes
Publisher : Unknown
Page : 157 pages
File Size : 55,5 Mb
Release : 2020
Category : Computer programming
ISBN : 9783030503567

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Introduction to Scientific Programming with Python by Joakim Sundnes Pdf

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

An Introduction to Python Programming for Scientists and Engineers

Johnny Wei-Bing Lin,Hannah Aizenman,Erin Manette Cartas Espinel,Kim Gunnerson,Joanne Liu
An Introduction to Python Programming for Scientists and Engineers Book PDF

Author : Johnny Wei-Bing Lin,Hannah Aizenman,Erin Manette Cartas Espinel,Kim Gunnerson,Joanne Liu
Publisher : Cambridge University Press
Page : 767 pages
File Size : 55,9 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9781108701129

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An Introduction to Python Programming for Scientists and Engineers by Johnny Wei-Bing Lin,Hannah Aizenman,Erin Manette Cartas Espinel,Kim Gunnerson,Joanne Liu Pdf

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

Introduction to Python Programming for Business and Social Science Applications

Frederick Kaefer,Paul Kaefer
Introduction to Python Programming for Business and Social Science Applications Book PDF

Author : Frederick Kaefer,Paul Kaefer
Publisher : SAGE Publications
Page : 542 pages
File Size : 53,9 Mb
Release : 2020-08-06
Category : Business & Economics
ISBN : 9781544377483

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Introduction to Python Programming for Business and Social Science Applications by Frederick Kaefer,Paul Kaefer Pdf

Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.

Perspectives on Data Science for Software Engineering

Tim Menzies,Laurie Williams,Thomas Zimmermann
Perspectives on Data Science for Software Engineering Book PDF

Author : Tim Menzies,Laurie Williams,Thomas Zimmermann
Publisher : Morgan Kaufmann
Page : 408 pages
File Size : 41,8 Mb
Release : 2016-07-14
Category : Computers
ISBN : 9780128042618

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Perspectives on Data Science for Software Engineering by Tim Menzies,Laurie Williams,Thomas Zimmermann Pdf

Perspectives on Data Science for Software Engineering presents the best practices of seasoned data miners in software engineering. The idea for this book was created during the 2014 conference at Dagstuhl, an invitation-only gathering of leading computer scientists who meet to identify and discuss cutting-edge informatics topics. At the 2014 conference, the concept of how to transfer the knowledge of experts from seasoned software engineers and data scientists to newcomers in the field highlighted many discussions. While there are many books covering data mining and software engineering basics, they present only the fundamentals and lack the perspective that comes from real-world experience. This book offers unique insights into the wisdom of the community’s leaders gathered to share hard-won lessons from the trenches. Ideas are presented in digestible chapters designed to be applicable across many domains. Topics included cover data collection, data sharing, data mining, and how to utilize these techniques in successful software projects. Newcomers to software engineering data science will learn the tips and tricks of the trade, while more experienced data scientists will benefit from war stories that show what traps to avoid. Presents the wisdom of community experts, derived from a summit on software analytics Provides contributed chapters that share discrete ideas and technique from the trenches Covers top areas of concern, including mining security and social data, data visualization, and cloud-based data Presented in clear chapters designed to be applicable across many domains

Python Tools for Scientists

Lee Vaughan
Python Tools for Scientists Book PDF

Author : Lee Vaughan
Publisher : No Starch Press
Page : 744 pages
File Size : 44,9 Mb
Release : 2023-01-17
Category : Computers
ISBN : 9781718502673

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Python Tools for Scientists by Lee Vaughan Pdf

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration. Python Tools for Scientists will introduce you to Python tools you can use in your scientific research, including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries. You’ll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data. Once you’ve built an optimal programming environment with Anaconda, you’ll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the book’s fast-paced Python primer, you’ll tour a range of scientific tools and libraries like scikit-learn and seaborn that you can use to manipulate and visualize your data, or analyze it with machine learning algorithms. You’ll also learn how to: Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development features Use Python’s built-in data types, write custom functions and classes, and document your code Represent data with the essential NumPy, Matplotlib, and pandas libraries Use Python plotting libraries like Plotly, HoloViews, and Datashader to handle large datasets and create 3D visualizations Regardless of your scientific field, Python Tools for Scientists will show you how to choose the best tools to meet your research and computational analysis needs.

Software Design by Example

Greg Wilson
Software Design by Example Book PDF

Author : Greg Wilson
Publisher : CRC Press
Page : 429 pages
File Size : 46,6 Mb
Release : 2022-12-29
Category : Computers
ISBN : 9781000810271

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Software Design by Example by Greg Wilson Pdf

The best way to learn design in any field is to study examples, and some of the best examples of software design come from the tools programmers use in their own work. Software Design by Example: A Tool-Based Introduction with JavaScript therefore builds small versions of the things programmers use in order to demystify them and give some insights into how experienced programmers think. From a file backup system and a testing framework to a regular expression matcher, a browser layout engine, and a very small compiler, we explore common design patterns, show how making code easier to test also makes it easier to reuse, and help readers understand how debuggers, profilers, package managers, and version control systems work so that they can use them more effectively. This material can be used for self-paced study, in an undergraduate course on software design, or as the core of an intensive weeklong workshop for working programmers. Each chapter has a set of exercises ranging in size and difficulty from half a dozen lines to a full day’s work. Readers should be familiar with the basics of modern JavaScript, but the more advanced features of the language are explained and illustrated as they are introduced. All the written material in this project can be freely reused under the terms of the Creative Commons - Attribution license, while all of the software is made available under the terms of the Hippocratic License. All proceeds from sale of this book will go to support the Red Door Family Shelter in Toronto. Features • Teaches software design by showing programmers how to build the tools they use every day • Each chapter includes exercises to help readers check and deepen their understanding • All the example code can be downloaded, re-used, and modified under an open license

Applied Mathematics with Open-Source Software

Vincent Knight,Geraint Palmer
Applied Mathematics with Open Source Software Book PDF

Author : Vincent Knight,Geraint Palmer
Publisher : CRC Press
Page : 180 pages
File Size : 41,6 Mb
Release : 2022-05-26
Category : Mathematics
ISBN : 9781000582109

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Applied Mathematics with Open-Source Software by Vincent Knight,Geraint Palmer Pdf

Applied Mathematics with Open-source Software: Operational Research Problems with Python and R is aimed at a broad segment of readers who wish to learn how to use open-source software to solve problems in applied mathematics. The book has an innovative structure with 4 sections of two chapters covering a large range of applied mathematical techniques: probabilistic modelling, dynamical systems, emergent behaviour and optimisation. The pairs of chapters in each section demonstrate different families of solution approaches. Each chapter starts with a problem, gives an overview of the relevant theory, shows a solution approach in R and in Python, and finally gives wider context by including a number of published references. This structure will allow for maximum accessibility, with minimal prerequisites in mathematics or programming as well as giving the right opportunities for a reader wanting to delve deeper into a particular topic. Features An excellent resource for scholars of applied mathematics and operational research, and indeed any academics who want to learn how to use open-source software. Offers more general and accessible treatment of the subject than other texts, both in terms of programming language but also in terms of the subjects considered. The R and Python sections purposefully mirror each other so that a reader can read only the section that interests them. An accompanying open-source repository with source files and further examples is posted online at https://bit.ly/3kpoKSd.

Learning Python

Mark Lutz,David Ascher
Learning Python Book PDF

Author : Mark Lutz,David Ascher
Publisher : "O'Reilly Media, Inc."
Page : 623 pages
File Size : 40,6 Mb
Release : 2003-12-23
Category : Computers
ISBN : 9780596551933

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Learning Python by Mark Lutz,David Ascher Pdf

Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.

Python Packages

Tomas Beuzen,Tiffany Timbers
Python Packages Book PDF

Author : Tomas Beuzen,Tiffany Timbers
Publisher : CRC Press
Page : 252 pages
File Size : 42,6 Mb
Release : 2022-04-20
Category : Computers
ISBN : 9781000555127

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Python Packages by Tomas Beuzen,Tiffany Timbers Pdf

Python Packages introduces Python packaging at an introductory and practical level that’s suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating. Python Packages focuses on the use of current and best-practice packaging tools and services like poetry, cookiecutter, pytest, sphinx, GitHub, and GitHub Actions. Features: The book’s source code is available online as a GitHub repository where it is collaborated on, automatically tested, and built in real time as changes are made; demonstrating the use of good reproducible and clear project workflows. Covers not just the process of creating a package, but also how to document it, test it, publish it to the Python Package Index (PyPI), and how to properly version and update it. All concepts in the book are demonstrated using examples. Readers can follow along, creating their own Python packages using the reproducible code provided in the text. Focuses on a modern approach to Python packaging with emphasis on automating and streamlining the packaging process using new and emerging tools such as poetry and GitHub Actions.

Effective Computation in Physics

Anthony Scopatz,Kathryn D. Huff
Effective Computation in Physics Book PDF

Author : Anthony Scopatz,Kathryn D. Huff
Publisher : "O'Reilly Media, Inc."
Page : 552 pages
File Size : 43,7 Mb
Release : 2015-06-25
Category : Science
ISBN : 9781491901588

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Effective Computation in Physics by Anthony Scopatz,Kathryn D. Huff Pdf

More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures

Introduction to Python for Science and Engineering

David J. Pine
Introduction to Python for Science and Engineering Book PDF

Author : David J. Pine
Publisher : CRC Press
Page : 353 pages
File Size : 42,7 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9780429014246

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Introduction to Python for Science and Engineering by David J. Pine Pdf

Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and Engineering This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips. Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader. David J. Pine is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.