When should you use Python’s built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately.
Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you’ll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types.
Built-in Python data structures
Python standard library types
Design principles for data structures
Data structures and associated algorithm examples
Heaps, circular buffers, balanced binary trees, and their variants
George T. Heineman is an associate professor of computer science at Worcester Polytechnic Institute in Massachusetts. His research interests are in software engineering. He is the author of Algorithms in a Nutshell and Working with Algorithms in Python, both for O’Reilly Media.
George T. Heineman is an Associate Professor of Computer Science at WPI. His research interests are in Software Engineering. He co-edited the 2001 book Component-Based Software Engineering: Putting the Pieces Together. He was the Program Chair for the 2005 International Symposium on Component-Based Software Engineering.
Aside from his professional pursuits, George is an avid puzzler. He invented Sujiken®, a Sudoku variation played on a right-triangle arrangement of cells in which numbers cannot repeat in a horizontal row, vertical column or diagonal in any direction. See more at http://www.sujiken.com.
Comments about oreilly Designing Data Structures in Python:
A few months back I purchased "Designing Data Structures and more recently "Working with Algorithms in Python" This instructor(a CS Professor) has a real gift for teaching. Usually I have the best intentions when I pick up an algorithm book and within 10 minutes of reading my eyes glaze over due the density of text and mathematic notation on the page. Mr. Heineman's video courses are the polar opposite of that experience. He manage not only to convey these concepts somewhat succinctly but also provided real context which makes the different modules fun and exciting. I'm so happy that I came across these. The reference language in his courses is Python which is my opinion is ideal as it reduces the friction of learning these topics at least visually anyway. The interesting thing is that his course seem to fill in the gaps so that when you do go back open one of those dense algorithms books things become much much clearer. I hope he has plans to release more of this series.
Bottom Line Yes, I would recommend this to a friend