Practical Programming: An Introduction to Computer Science Using Python 3.6 ペーパーバック – 2017/12/16
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Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.
Paul Gries has been teaching in the Department of Computer Science at the University of Toronto for more than 15 years. During his time at UofT, Paul has won numerous teaching awards, has co-authored two textbooks, has been a leader in departmental curriculum design and renewal, and with Jennifer Campbell, got to teach Python to tens of thousands of students in a MOOC.
Jennifer Campbell is a teaching stream professor in Computer Science at the University of Toronto. In 2014, she received the Faculty of Arts and Science Outstanding Teaching Award. Jen engages in computer science education research, studying student experiences, factors for success, and the effectiveness of various course formats, including flipped and online courses.
Jason Montojo is a veteran software developer with 19 years of professional experience. He specializes in applied software archaeology and has mentored dozens of students as part of the Google Summer of Code and Software Carpentry programs.
This excellent teaching text begins with an explanation for the author’s choice of Python as their teaching language. Within a very few pages, the student is learning what programming is, what a program does and straight into the basics of programming with Python.
This is not a comprehensive soup-to-nuts treatment of programming with Python.
Rather, it is more intent on teaching the underlying concepts of computer science.
So we begin with designing and using functions, then working with text, making choices the use of Python modules and so on. In all, 17 chapters walk you through the bedrock elements of computer science and programming with Python.
The intent is not so much teaching a person how to become competent as a Python programmer, but rather instructing the student in the principles of computer science.
It succeeds, I think. The language is very clear, with subjects being introduced on a step-by-step basis.
I think this succeeds as a classroom text and also as a platform for self-study.
It starts out at a good learning level, going over basics without being overly technical. I appreciate not feeling stupid while working on something I don't know and not having to look up every other word on google. Google knows enough about me.