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Book

Python Structures

Identifier --duanebaile-1519
Penulis / PengarangDuane Bailey
Kata Kunci Structured Python for the Principled Programmer
Tanggal Publikasi22 Sep 2013
BahasaBahasa Indonesia
Abstrak / Deskripsi Python is a fun language for writing small programs. This book is about writing larger programs in Python. In more significant programs there begins to be a concern about how to structure and manipulate the data for efficient access. Python enjoys a rich set of data types for holding data””arrays, lists, dictionaries, and others””but our eventual focus will be what to do when these initial types are insufficient for the kinds of abstractions you might need in more complex tasks. Python is frequently used to support the quick development of small programs that generate or filter data, or that coordinate the interactions of other programs. In this regard, Python can be thought of as a scripting language. Scripting languages are used for small quick tasks. Python’s ease of use, however, has made is possible to write quite large programs, as well. When programs become large, there is always a concern about efficiency. Does the program run quickly? Can the program manipulate large amounts of data quickly and with a small memory footprint? These are important questions, and if programmers are to be effective, they must be able to ask and answer questions about the efficiency of their programs from the point-of-view of data management. This book is about how to do that. In the early chapters we learn about basic Python use. We then discuss some problems that involve the careful manipulation of Python’s more complex data types. Finally, we discuss some object-oriented strategies to implement and make use of data structures that are either problem specific, or not already available within the standard Python framework. The implementation of new data structures is an important programming task, often at least as important as the implementation of new code. This book is about that abstract process. Finally, writing Python is a lot of fun, and we look forward to thinking openly about a number of fun problems that we might use Python to quickly solve.

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