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.
In this course, we’re going to discuss some of the most important tools a Python 3 developer can use for advance implementations. We will introduce you to the high level concepts of various classes and techniques, and close each section with a practical, code-driven example on how you can leverage these techniques in daily development. Specifically, this course will start with an introduction on iterators and generators, followed by discussions on regular expressions, introspection, lambda functions, metaclasses, decorators, and more.
Due to its power, simplicity, and complete object model, Python has become the scripting language of choice for many large organizations, including Google, Yahoo, and IBM. In Python 3 Essential Training, Bill Weinman demonstrates how to use Python 3 to create well-designed scripts and maintain existing projects. This course covers the basics of the language syntax and usage, as well as advanced features such as objects, generators, and exceptions. Example projects include a normalized database interface and a complete working CRUD application. Exercise files accompany the course.