Hopp til hovedinnhold
Omslagsbilde

Research Software Engineering : A Guide to the Open Source Ecosystem

Bannert, Matthias

Produseres på bestilling

Leveringstid: 3-10 dager

Handlinger

Beskrivelse

Omtale

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 Featuresoverview: breakdown of complex data science software stacks into core componentsapplied: source code of figures, tables and examples available and reproducible solely with license cost-free, open source softwarereader guidance: different entry points and rich references to deepen the understanding of selected aspects

  • Utgivelsesdato:

    17.04.2024

  • ISBN/Varenr:

    9781032261645

  • Språk:

    Engelsk

  • Forlag:

    Chapman & Hall/CRC

  • Innbinding:

    Innbundet

  • Fagtema:

    Matematikk og naturvitenskap

  • Serie:

    Chapman & Hall/CRC Data Science Series

  • Litteraturtype:

    Faglitteratur

  • Sider:

    182

  • Høyde:

    23.4 cm

  • Bredde:

    15.6 cm

Predictive Modelling for Football Analytics

Predictive Modelling for Football Analytics

Karlis, Dimitris • Egidi, Leonardo • Ntzoufras, Ioannis
9781032030647 Innbundet
05.11.2025
Engelsk

Forventes utgitt
Models Demystified : A Practical Guide from Linear Regression to Deep Learning

Models Demystified : A Practical Guide from Linear Regression to Deep Learning

Clark, Michael • Berry, Seth
9781032582580 Innbundet
04.08.2025
Engelsk

Forventes utgitt
Introduction to Classifier Performance Analysis with R

Introduction to Classifier Performance Analysis with R

Saw, Sutaip L.C.
9781032855622 Innbundet
03.12.2024
Engelsk

Produseres på bestilling
Mathematical Engineering of Deep Learning

Mathematical Engineering of Deep Learning

Liquet, Benoit • Nazarathy, Yoni • Moka, Sarat
9781032288291 Innbundet
03.10.2024
Engelsk

Produseres på bestilling
Getting (more out of) Graphics : Practice and Principles of Data Visualisation

Getting (more out of) Graphics : Practice and Principles of Data Visualisation

Unwin, Antony
9780367674007 Innbundet
13.09.2024
Engelsk

Produseres på bestilling
Why Data Science Projects Fail : The Harsh Realities of Implementing AI and Analytics, without the Hype

Why Data Science Projects Fail : The Harsh Realities of Implementing AI and Analytics, without the Hype

Gray, Douglas • Shellshear, Evan
9781032661339 Innbundet
05.09.2024
Engelsk

Produseres på bestilling
Data Science : A First Introduction with Python

Data Science : A First Introduction with Python

Ostblom, Joel • Campbell, Trevor • Timbers, Tiffany • Lee, Melissa • Heagy, Lindsey
9781032572192 Innbundet
23.08.2024
Engelsk

Produseres på bestilling
Introduction to Data Science : Data Wrangling and Visualization with R

Introduction to Data Science : Data Wrangling and Visualization with R

Irizarry, Rafael A.
9781032116556 Innbundet
02.08.2024
Engelsk

Produseres på bestilling
DevOps for Data Science

DevOps for Data Science

Gold, Alex
9781032100340 Innbundet
19.06.2024
Engelsk

Produseres på bestilling
The Data Preparation Journey : Finding Your Way with R

The Data Preparation Journey : Finding Your Way with R

Monkman, Martin Hugh
9781032192314 Innbundet
07.05.2024
Engelsk

Produseres på bestilling
Research Software Engineering : A Guide to the Open Source Ecosystem

Research Software Engineering : A Guide to the Open Source Ecosystem

Bannert, Matthias
9781032261270 Heftet
17.04.2024
Engelsk

Produseres på bestilling