O’Reilly – Designing Data Structures in Python

This course can be delivered immediately. When should you use it? 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 File Size: 6.02 GB

O’Reilly – Designing Data Structures in Python

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.

Get immediately download O’Reilly – Designing Data Structures in Python
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 PythonIt’s built-in Types of data

The following topics are available:

Built-in Python Data structures
Python Standard library types
Design principles for data structure design
Data Examples of structures and algorithmic examples
Diagram representations
Heaps, circular buffers and balanced binary trees in all their variants

George T. Heineman is an associate Professor of Computer Science at Worcester Polytechnic Institute in Massachusetts. His research interests include in Software engineering. Algorithms was his first book. in A Nutshell, and Working with Algorithms in Python, both for O’Reilly Media.

 Here’s what you’ll get in O’Reilly – Designing Data Structures in Python