Good Habits for Great Coding, 1st ed. Improving Programming Skills with Examples in Python

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. 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.

What You'll Learn

• Create readable code through examples of good and bad style
  
• Write difficult algorithms by comparing your code to the author's code
  
• Derive and code difficult algorithms using dynamic programming
• Understand the psychology of the coding process
  

Who This Book Is For

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.

Michael Stueben started teaching Fortran at Fairfax High School in Virginia in 1977. Eventually the high school computer science curriculum changed from Fortran to BASIC, Pascal, C, C++, Java, and finally to Python. In the last five years, Stueben taught artificial intelligence at Thomas Jefferson High School for Science and Technology in Alexandria, VA. Along the way, he wrote a regular puzzle column for Discover Magazine, published articles in Mathematics Teacher and Mathematics Magazine, published a book on teaching high school mathematics: Twenty Years Before the Blackboard (Mathematical Association of America, 1998). In 2006 he received a Distinguished High School Mathematics Teaching / Edyth May Sliffe Award from the Mathematical Association of America.