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040 _aEBZ
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_cEBZ
020 _a9781040005125
_q(electronic bk.)
020 _a1040005128
_q(electronic bk.)
020 _a9781003286899
_q(electronic bk.)
020 _a1003286895
_q(electronic bk.)
020 _a9781040005132
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_q(electronic bk. : EPUB)
020 _z1032261641
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020 _z1032261277
020 _z9781032261270
024 7 _a10.1201/9781003286899
_2doi
037 _a9781003286899
_bTaylor & Francis
050 4 _aQ180.55.E4
072 7 _aBUS
_x061000
_2bisacsh
072 7 _aUN
_2bicssc
049 _aMAIN
100 1 _aBannert, Mattias.
_965466
245 1 0 _aRESEARCH SOFTWARE ENGINEERING
_h[electronic resource] :
_ba guide to the open source ecosystem.
260 _a[S.l.] :
_bCHAPMAN & HALL CRC,
_c2024.
300 _a1 online resource
341 0 _atextual
_2sapdv
_3EBSCOhost
520 _aResearch 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
532 0 _3EBSCOhost
_a"EBSCO evaluates our products based on the Web Content Accessibility Guidelines (WCAG) and the related Section 508 and EN 301 549 regulations in the US and EU. Most EBSCO products are substantially conformant with WCAG 2.2 level AA." Source: https://connect.ebsco.com/s/article/EBSCO-VPATs?language=en_US. Last accessed April 22, 2025.
545 0 _aMatthias Bannert, Ph.D. gained his hands-on data science and data engineering at ETH Zürich in more than a decade of working for the KOF Swiss Economic Institute. Today, he works as a data engineering expert advisor at cynkra and supports ETH as a section lead in the innovation-minded KOF Lab. In 2021, he was a co-chair of useR!, the annual user conference of the R Project for Statistical Computing. He remains an active contributor to extension packages of the R language and the open source community in general.
505 0 _aCover -- 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
505 8 _a3.1. 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
505 8 _a4.3.1. 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
505 8 _a6.3.1. 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
505 8 _a7.4.3. 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
650 0 _aResearch
_xData processing.
_965467
650 0 _aComputer software
_xDevelopment.
_965468
650 7 _aBUSINESS & ECONOMICS / Statistics
_2bisacsh
_964448
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