This book, subtitled "How to make good programming decisions", shows how to optimize the decisions that define your code by exploring the common mistakes and intentional tradeoffs made by expert developers. Tomasz Lelek and Jon Skeet explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, so you can preempt your own mistakes with a more thoughtful approach to decision making.
<ASIN:1617299200>
Learn how code duplication impacts the coupling and evolution speed of your systems, and how simple-sounding requirements can have hidden nuances with respect to date and time information. Discover how to efficiently narrow your optimization scope according to 80/20 Pareto principles, and ensure consistency in your distributed systems. You’ll soon have built up the kind of knowledge base that only comes from years of experience.
Author: Tomasz Lelek and Jon Skeet Publisher: Manning Date: June 2022 Pages: 426 ISBN: 978-1617299209 Print: 1617299200 Kindle: B09YSNVV52 Audience: General Level: Intermediate Category: Methodology
- Reason about your systems to make intuitive and better design decisions
- Understand consequences and how to balance tradeoffs
- Pick the right library for your problem
- Thoroughly analyze all of your service’s dependencies
- Understand delivery semantics and how they influence distributed architecture
- Design and execute performance tests to detect code hot paths and validate a system’s SLA
- Detect and optimize hot paths in your code to focus optimization efforts on root causes
- Decide on a suitable data model for date/time handling to avoid common (but subtle) mistakes
- Reason about compatibility and versioning to prevent unexpected problems for API clients
- Understand tight/loose coupling and how it influences coordination of work between teams
- Clarify requirements until they are precise, easily implemented, and easily tested
- Optimize your APIs for friendly user experience
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Math for Programmers (Manning)
Author: Paul Orland Publisher: Manning Publications Date: January 2021 Pages: 688 ISBN: 978-1617295355 Print: 1617295353 Audience: Python developers interested in math Rating: 4 Reviewer: Mike James Of course you need to learn math, don't you?
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Author: Dr. Sarah Kaiser and Dr. Chris Granade Publisher: Manning Date: June 2021 Pages: 384 ISBN: 978-1617296130 Print: 1617296139 Kindle: B098BNK1T9 Audience: Developers interested in quantum computing Rating: 4.5 Reviewer: Mike James Quantum - it's the future...
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