國立虎尾科技大學 |

Good Habits for Great Coding = Improving Programming Skills with Examples in Python /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Good Habits for Great Coding/ by Michael Stueben.
其他題名:	Improving Programming Skills with Examples in Python /
作者:	Stueben, Michael.
面頁冊數:	XXIX, 314 p. 7 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Python (Computer program language). -
電子資源:	https://doi.org/10.1007/978-1-4842-3459-4
ISBN:	9781484234594

Good Habits for Great Coding = Improving Programming Skills with Examples in Python /
Stueben, Michael.

Good Habits for Great CodingImproving Programming Skills with Examples in Python /[electronic resource] :by Michael Stueben. - 1st ed. 2018. - XXIX, 314 p. 7 illus.online resource.

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.

ISBN: 9781484234594

Standard No.: 10.1007/978-1-4842-3459-4doiSubjects--Topical Terms:

1127623
Python (Computer program language).

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Good Habits for Great Coding = Improving Programming Skills with Examples in Python /
LDR:03456nam a22003975i 4500 001 987756
003 DE-He213
005 20200704134643.0
007 cr nn 008mamaa
008 201225s2018 xxu| s |||| 0|eng d
020 $a 9781484234594 $9 978-1-4842-3459-4
024 7 $a 10.1007/978-1-4842-3459-4 $2 doi
035 $a 978-1-4842-3459-4
050 4 $a QA76.73.P98
072 7 $a UMX $2 bicssc
072 7 $a COM051360 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.133 $2 23
100 1 $a Stueben, Michael. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1203122
245 1 0 $a Good Habits for Great Coding $h [electronic resource] : $b Improving Programming Skills with Examples in Python / $c by Michael Stueben.
250 $a 1st ed. 2018.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2018.
300 $a XXIX, 314 p. 7 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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.
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Programming languages (Electronic computers). $3 1127615
650 0 $a Algorithms. $3 527865
650 0 $a Coding theory. $3 561460
650 0 $a Information theory. $3 595305
650 0 $a Computer programming. $3 527822
650 1 4 $a Python. $3 1115944
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Coding and Information Theory. $3 669784
650 2 4 $a Programming Techniques. $3 669781
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484234587
776 0 8 $i Printed edition: $z 9781484234600
776 0 8 $i Printed edition: $z 9781484248126
856 4 0 $u https://doi.org/10.1007/978-1-4842-3459-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)