October 2013
Beginner to intermediate
364 pages
8h 8m
English
Content preview from Learning Geospatial Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Python networking libraries for acquiring data
The vast majority of geospatial data sharing is accomplished via the Internet. And Python is well-equipped when it comes to networking libraries for almost any protocol. Automated data downloads are often an important step in automating a geospatial process. Data is typically retrieved from a website Uniform Resource Locator (URL) or a File Transfer Protocol (FTP ) server. And because geospatial data sets often contain multiple files, data is often distributed as ZIP files.
A nice feature of Python is its concept of a file-like object. Most Python libraries which read and write data use a standard set of methods which allow you to access data from all different types of resources as if you were writing ...
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