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  • 1
    Book
    Book
    Research software engineering : a guide to the open source ecosystem (2024)
    Boca Raton : CRC Press, Taylor & Francis Group
    Details
    UID:
    gbv_188476455X
    Format: xviii, 182 Seiten , Illustrationen, Diagramme
    Edition: First edition
    ISBN: 9781032261645 , 9781032261270
    Series Statement: Chapman & Hall/CRC data science series
    Content: "Research Software Engineering: A Guide to the Open Source Ecosystem strives for a big picture overview and to give 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, fosters interdisciplinary collaboration as source code continues to become an important communication channel. Given the pace of the development in data science, many researchers 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"--
    Note: Literaturverzeichnis: Seite 177-180 , Stack - a developer's toolkit -- Programming 101 -- Interaction environment -- Git version control -- Data management -- Infrastructure -- Automation -- Community -- Publishing & reporting -- Case studies.
    Additional Edition: ISBN 9781003286899
    Additional Edition: Erscheint auch als Online-Ausgabe Research software engineering Boca Raton : CRC Press, Taylor & Francis Group, 2024 ISBN 9781003286899
    Additional Edition: ISBN 1003286895
    Additional Edition: Erscheint auch als Online-Ausgabe Bannert, Matthias, 1982 - Research Software Engineering Milton : CRC Press LLC, 2024 ISBN 9781040005125
    Language: English
    Subjects: Computer Science
    RVK:
    ST 230
    Keywords: Software Engineering ; Open Source ; Datenbankverwaltung
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    RESEARCH SOFTWARE ENGINEERING : a guide to the open source ecosystem. (2024)
    [S.l.] :CHAPMAN & HALL CRC,
    Details
    UID:
    almahu_9949747496402882
    Format: 1 online resource
    ISBN: 9781040005125 , 1040005128 , 9781003286899 , 1003286895 , 9781040005132 , 1040005136
    Content: 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
    Note: Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- Preface -- Acknowledgments -- 1. Introduction -- 1.1. Why Work Like a Software Engineer? -- 1.2. Why Work Like an Operations Engineer? -- 1.3. How To Read This Book? -- 1.4. Backlog -- 1.5. Requirements -- 2. Stack: A Developer's Toolkit -- 2.1. Programming Language -- 2.2. Interaction Environment -- 2.3. Version Control -- 2.4. Data Management -- 2.5. Infrastructure -- 2.6. Automation -- 2.7. Communication Tools -- 2.8. Publishing and Reporting -- 3. Programming 101 , 3.1. The Choice That Doesn't Matter -- 3.2. Plan Your Program -- 3.2.1. Think Library! -- 3.2.2. Documentation -- 3.2.3. Design Your Interface -- 3.2.4. Dependencies -- 3.2.5. Folder Structure -- 3.3. Naming Conventions: Snake, Camel or Kebab Case -- 3.4. Testing -- 3.5. Debugging -- 3.5.1. Read Code from the Inside Out -- 3.5.2. Debugger, Breakpoints, Traceback -- 3.6. A Word on Peer Programming -- 4. Interaction Environment -- 4.1. Integrated Development Environments -- 4.1.1. RStudio -- 4.1.2. Visual Studio Code -- 4.1.3. Editors on Steroids -- 4.2. Notebooks -- 4.3. Console/Terminal , 4.3.1. Remote Connections SSH, SCP -- 4.3.2. Git Through the Console -- 5. Git Version Control -- 5.1. What Is Git Version Control? -- 5.2. Why Use Version Control in Research? -- 5.3. How Does Git Work? -- 5.4. Moving Around -- 5.5. Collaboration Workflow -- 5.5.1. Feature Branches -- 5.5.2. Pull Requests from Forks -- 5.5.3. Rebase vs. Merge -- 6. Data Management -- 6.1. Forms of Data -- 6.2. Representing Data in Files -- 6.2.1. Spreadsheets -- 6.2.2. File Formats for Nested Information -- 6.2.3. A Word on Binaries -- 6.2.4. Interoperable File Formats -- 6.3. Databases , 6.3.1. Relational database Management Systems (RDBMS) -- 6.3.2. A Word on Non-Relational databases -- 6.4. Non-Technical Aspects of Managing Data -- 6.4.1. Etiquette -- 6.4.2. Security -- 6.4.3. Privacy -- 6.4.4. Data Publications -- 7. Infrastructure -- 7.1. Why Go Beyond a Local Notebook? -- 7.2. Hosting Options -- 7.2.1. Software-as-a-Service -- 7.2.2. Self-Hosted -- 7.3. Building Blocks -- 7.3.1. Virtual Machines -- 7.3.2. Containers and Images -- 7.3.3. Kubernetes -- 7.4. Applied Containerization Basics -- 7.4.1. DOCKERFILEs -- 7.4.2. Building and Running Containers , 7.4.3. Docker Compose -- Manage Multiple Containers -- 7.4.4. A Little Docker Debugging Tip -- 8. Automation -- 8.1. Continuous Integration/Continuous Deployment -- 8.2. Cron Jobs -- 8.3. Workflow Scheduling: Apache Airflow DAGs -- 8.4. Make-Like Workflows -- 8.5. Infrastructure as Code -- 9. Community -- 9.1. Stay Up-to-Date in a Vastly Evolving Field -- Social Media -- 9.2. Knowledge-Sharing Platforms -- 9.3. Look Out for Local Community Group -- 9.4. Attend Conferences -- Online Can Be a Viable Option! -- 9.5. Join a Chat Space -- 10. Publishing and Reporting
    Additional Edition: Print version: ISBN 1032261641
    Additional Edition: ISBN 9781032261645
    Additional Edition: ISBN 1032261277
    Additional Edition: ISBN 9781032261270
    Language: English
    DOI: 10.1201/9781003286899
    URL: https://www.taylorfrancis.com/books/9781003286899
    Library Location Call Number Volume/Issue/Year Availability
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    HU Berlin
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