O’Reilly – Designing Data Structures in Python

什么时候应该使用Python的内置数据类型，什么时候应该开发自己的数据类型？在本视频课程中，George Heineman向Python程序员介绍了几种重要的数据结构，并通过示例算法演示了它们的用法。诸如数组，链接列表和堆栈之类的通用数据结构可以解决许多问题，但是要解决一些特殊的问题，您需要学习不同的方法来适当地构造数据。

许多Python程序员通过非传统途径而不是通过大学计算机科学学位来学习他们的技能。该视频可帮助您逐步了解基本数据类型。对于许多数据结构，您将使用各种现有模块编写示例代码，并定义一个过程来帮助您评估和评估这些模块，以供您在自己的软件中使用。您所需要做的只是掌握Python内置数据类型的使用知识。

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.

Topics include:
Built-in Python data structures
Python standard library types
Design principles for data structures
Data structures and associated algorithm examples
Graph representations
Heaps, circular buffers, balanced binary trees, and their variants