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Good Code, Bad Code: Think like a software engineer - Tom Long - Bog

Bag om Good Code, Bad Code: Think like a software engineer

Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt.In Good Code, Bad Code youll learn how to:Think about code like an effective software engineerWrite functions that read like well-structured sentencesEnsure code is reliable and bug freeEffectively unit test codeIdentify code that can cause problems and improve itWrite code that is reusable and adaptable to new requirementsImprove your medium and long-term productivitySave yourself and your team time The difference between good code or bad code often comes down tohow you apply the established practices of the software development community.In Good Code, Bad Code youll learn how to boost your productivity and effectiveness with code development insights normally only learned through careful mentorship and hundreds of code reviews.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781617298936
  • Indbinding:
  • Paperback
  • Sideantal:
  • 350
  • Udgivet:
  • 15. december 2021
  • Størrelse:
  • 235x186x24 mm.
  • Vægt:
  • 702 g.
  • Ukendt - mangler pt..
Forlænget returret til d. 31. januar 2025

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Beskrivelse af Good Code, Bad Code: Think like a software engineer

Practical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt.In Good Code, Bad Code youll learn how to:Think about code like an effective software engineerWrite functions that read like well-structured sentencesEnsure code is reliable and bug freeEffectively unit test codeIdentify code that can cause problems and improve itWrite code that is reusable and adaptable to new requirementsImprove your medium and long-term productivitySave yourself and your team time The difference between good code or bad code often comes down tohow you apply the established practices of the software development community.In Good Code, Bad Code youll learn how to boost your productivity and effectiveness with code development insights normally only learned through careful mentorship and hundreds of code reviews.

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