Reliable Source: Lessons from a Life in Software Engineering
Wednesday, 26 January 2022

This book provides a retrospective, not of a single project or subproject, but on an entire career in the software industry. James Bonang conveys solutions to the eclectic problems you'll encounter as a software professional. The book provides encounters with interesting software engineering personalities, homicidal computers, ancient gods and an extra-solar interloper. You'll match wits with the world's greatest (fictional) detective and discover how top engineers determine the root cause of the most catastrophic software failures. You'll absorb a lifetime of experience without all the fuss.

<ASIN:‎ B09QCBVJ9V>

 

Author: James Bonang
Date: January 2022
Pages: 608
Kindle: ‎B09QCBVJ9V
Audience: General interest
Level: Intermediate
Category: Methodology

Topics covered:

 

  • Improve your technical writing skills
  • Prepare and give succinct, impactful technical presentations
  • Teach and mentor
  • Employ estimates and analytic confidence measures
  • Find reliable sources of information
  • Conduct retrospectives
  • Perform code inspections
  • Perform case studies
  • Use checklists
  • Employ the Delphi Method
  • Employ pre-, post- and invariant conditions to improve software reliability
  • Write defensive code
  • Perform root cause analyses
  • Tackle the most difficult types of software defects
  • Guard against floating point errors
  • Identify future career paths (including fields accelerated by the pandemic)

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The Art of Computer Programming, Volume 4, Fascicle 5

Author: Donald Knuth
Publisher: Addison-Wesley
Pages: 320
ISBN: 978-0134671796
Print: 0134671791
Audience: Knuth fans
Rating: 4
Reviewer: Mike James
Another portion of TAoCP. Do you need to read it?



The Big Book of Small Python Projects

Author: Al Sweigart
Publisher: No Starch Press
Date: June 2021
Pages: 432
ISBN: 978-1718501249
Print: 1718501242
Kindle: B08FH9FV7M
Audience: Novice Python developers
Rating: 4
Reviewer: Lucy Black
A project book? A good way to learn Python?


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