04508cam a22005655i 4500 21768893 OSt 20220517141750.0 m |o d | cr ||||||||||| 180312s2018 xxu|||| o |||| 0|eng 2019758322 9781484234594 10.1007/978-1-4842-3459-4 doi (DE-He213)978-1-4842-3459-4 DLC eng pn rda AIMIT LIBRARY COM051360 bisacsh UMX bicssc UMX thema 005.1372 1 STUM Stueben, Michael, 37632 Good Habits for Great Coding : improving programming skills with examples in python / by Michael Stueben. 1st ed. 2018. Berkeley, CA : Apress : Imprint: Apress, 2018. xxix,314p. ; PB 23.5 cm text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Part 1: Not Learned in School -- 1. A Coding Fantasy -- 2. Coding Tricks -- 3. Style -- 4. More Coding Tricks -- Part 2: Coding Advice -- 5. Function Design -- 6. Self-Documenting Code -- 7. Step-Wise Refinement -- 8. Comments -- 9. Stop Coding -- 10. Testing -- 11. Defensive Programming -- 12. Refactoring -- 13. Write The Tests First (Sometimes) -- 14. Expert Advice -- Part 3: Perspective -- 15. A Lesson In Design -- 16. Beware Of OOP -- 17. The Evolution Of A Function -- 18. Do Not Snub Inefficient Algorithms -- Part 4: Walk the Walk -- 19.Problems Worth Solving -- 20. Problem Solving -- 21. Dynamic Programming. Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more. Taking an informal, conversational tone, author Michael Stueben offers programming stories, anecdotes, observations, advice, tricks, examples, and challenges based on his 38 years experience writing code and teaching programming classes. Trying to teach style to beginners is notoriously difficult and can easily appear pedantic. Instead, this book offers solutions and many examples to back up his ideas. Good Habits for Great Coding distills Stueben's three decades of analyzing his own mistakes, analyzing student mistakes, searching for problems that teach lessons, and searching for simple examples to illustrate complex ideas. Having found that most learn by trying out challenging problems, and reflecting on them, each chapter includes quizzes and problems in each chapter. The final chapter introduces dynamic programming to reduce complex problems to subcases, and illustrates many concepts discussed in the book. Code samples are provided in Python and designed to be understandable by readers familiar with any modern programming language. At the end of this book, you will have acquired a lifetime of good coding advice; the lessons the author wishes he had learned when he was a novice. Description based on publisher-supplied MARC data. Algorithms. 37633 Coding theory. 37634 Computer programming. 37635 Information theory. 37636 Programming languages (Electronic computers). 37637 Python (Computer program language). 37638 Python. https://scigraph.springernature.com/ontologies/product-market-codes/I29080 37639 Algorithms. https://scigraph.springernature.com/ontologies/product-market-codes/M14018 37633 Coding and Information Theory. https://scigraph.springernature.com/ontologies/product-market-codes/I15041 37640 Programming Languages, Compilers, Interpreters. https://scigraph.springernature.com/ontologies/product-market-codes/I14037 37641 Programming Techniques. https://scigraph.springernature.com/ontologies/product-market-codes/I14010 37642 Print version: Good habits for great coding : improving programming skills with examples in Python 9781484234587 (DLC) 2018934317 Printed edition: 9781484234587 Printed edition: 9781484234600 Printed edition: 9781484248126 0 ibc origres u ncip 20 y-gencatlg ddc BK 1st 005.1372 STUM 222972 222972 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 999.00 Bill no:6623; Bill dt:2022-03-23 0 005.1372 STUM MCA17053 2026-05-23 00:00:00 799.20 2022-05-17 BK