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Designing Data Structures in Python

Designing Data Structures in Python
HDRips | MP4/AVC, ~489 kb/s | 1280x720 | Duration: 06:04:21 | English: AAC, 125 kb/s (2 ch) | 1.52 GB
Genre: Development / Programming
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
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Tags: Designing, Structures, Python

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