CS1 Language & Structure Bits

Current Thinking:

• CS1 and CS2 in Python (objects in both)
  • CS128 command line, with some exposure to iPython
  • Use 2.7 with import from future for division, print, input? > (textbook support?) Why not just use 3?
• C for 310 and beyond
• How to learn Java? January Bootcamp or May Term (pre-req for > some courses)
  • Mobile App Development
  • Field Science
  • Software Engineering?

CS128 books

• Oberlin > https://www.cs.oberlin.edu/~ctaylor/150/ > Python Programming: An Introduction to Computer Science
• O’reilly > http://shop.oreilly.com/product/0636920028659.do
• http://home.wlu.edu/~lambertk/python/cs12python/index.html - > Fundamentals of Python: From Programs through Data Structures
• Harvey Mudd > College:https://www.cs.hmc.edu/twiki/bin/view/CS5/ > Intro to Computer Science
• The Quick Python Book (UC Berkeley: Introduction to Python 3) > http://www.amazon.com/Quick-Python-Book-Second-Edition/dp/193518220X
• Python Programming: An Introduction to Computer Science > (2nd Edition) (Python 3.x)

http://mcsp.wartburg.edu/zelle/python/ppics2/index.html

Comments:

• This is the book we’re currently thinking best suits our needs. This > book was recommended from the reviews of our second choice. They > say it is good for an intro college course for non-committed > CS majors.
• $20 for hard copy, or free. Sample programs and solutions.

• = Practical Programming: An Introduction to Computer Science Using Python 3 (Pragmatic Programmers) =

http://www.amazon.com/Practical-Programming-Introduction-Pragmatic-Programmers/dp/1937785459/ref=sr_1_11?ie=UTF8&qid=1429969707&sr=8-11&keywords=introduction+to+computer+science

• How to Think Like a Computer Scientist: > http://www.greenteapress.com/thinkpython/ ()

256 / 310 books

1. Data Structures and Algorithmic Thinking with > Python -
   • More like a CS256/CS310 book, for interview purpose
   • no exam copy
   • http://www.careermonk.com/

1. = Data Structures and Algorithms in Python =
   • = Have requested for examination copy =
   • = Very good comments, but $171.53 for hardcover, $62.5 for E-book on official website =

   • one from James Madison University use both (2) and (3) and > recommend (2)

   • Topics are fully covered (AVL tree), and some could be used in > CS320

   • My main complaint with the Goodrich book is that the coverage of > each data structure is accompanied by a complete Python > implementation, which eliminates many possible > programming assignments. I would have found the code examples > more helpful if there was less emphasis on good OO design and > more emphasis on algorithmic clarity.

2. = Data Structures and Algorithms Using Python =

   • used: $36.94 new:$88.20

   • The Necaise book is clear and accessible, but includes quite a > few distracting errors, particularly in the code examples. > It's also a bit light on mathematical rigor.

3. Data Structures and Algorithms with > Python > (Undergraduate Topics in Computer Science)

4. Problem Solving with Algorithms and Data Structures Using Python >

   • free online book

   • has programming exercise

   • three faculties recommend this book (include GA Tech), and > one in University of Northern Iowa designed his own lab > assignments (http://www.cs.uni.edu/~fienup/cs1520s15/)

5. Fundamentals of Python: Data > Structures

   • Have requested for an online review copy

   • Comments: low price ($30 or less)

     • Assumes the reader has had one semester of an OOP language, > in this case Python.

   • topics as the design of collection classes with polymorphism > and inheritance, multiple implementations of collection > interfaces, and the analysis of the space/time tradeoffs of > different collection implementations

   • Collections covered include sets, lists, stacks, queues, > trees, dictionaries, and graphs.

6. Algorithms

   • Robert Sedgewick and Kevin Wayne

   • $59.12 on Amazon

   • More like a CS3 textbook

7. Object-Oriented Programming in > PYTHON

   • Data types, objects, control structures, I/O, user-defined > classes, inheritance, and good software development practices. > Recursion to data structures, event-driven and network > programming with Python.

   • Contains a convenient guide for transitioning from Python to > Java™ or C++

   • But not many data structures are covered in this book. Only > sets, arrays, BST, and sorting algorithms.

8. = Data Structures and Algorithms Using Python and C++ =

   • A great second course text in Computer > Science > $88 for new book, $50 for used, $30 for eBook

   • recommended by a faculty from Lakeland Community College

   • 1. Abstraction and Analysis

   • 2. Data Abstraction

   • 3. Container Classes

   • 4. Linked Structures and Iterators

   • 5. Stacks and Queues

   • 6. Recursion

   • 7. Trees

   • 8. C++ Introduction of Python Programmers

   • 9. C++ Classes

   • 10. C++ Dynamic Memory

   • 11. C++ Linked Structures

   • 12. C++ Templates

   • 13. Heaps, Balanced Trees, and Hash Tables

   • 14. Graphs

   • 15. Algorithm Techniques

9. http://opendatastructures.org/ > Wikipedia book

Harvey Mudd’s CS1 -

Consider a way to take CS128 and just learn Python, fewer credits, less work (auditing might work for this).

http://cacm.acm.org/blogs/blog-cacm/176450-python-is-now-the-most-popular-introductory-teaching-language-at-top-us-universities/fulltext

(Harvey Mudd’s CS 1)

This looks like a pretty nice “textbook” and if anything a great resource.

CS for All: http://www.cs.hmc.edu/csforall/