Python Scripting for ArcGIS (original) (raw)

The Python Programming Language and its capabilities in the GIS environment

2013

The first chapter of this paper reviews the most popular programming languages, including Java, PHP, Python, C# and C++, and describes their characteristic features. Chapter discusses the capabilities, technical features and advantages of Python which is quickly taking the lead as one of the most popular programming languages in the world. The authors emphasize Python's key strengths, including high efficiency, easy implementation of new functions, code readability, easy upgrade and its open source nature. The third chapter presents Python scripting options in the GIS environment and its popularity with major technology developers, among them Google, YouTube, Nokia and NASA. The last chapter discusses the rapid increase in Python's popularity and discusses its most recent applications, including in ESRI software and computer games. The extensive capabilities of Python make it suitable for developing various types of interactive maps.

Python for Data Analysis

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Python for Data Mining Quick Syntax Reference

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Python for Automating Machine Learning Tasks

JINAV: Journal of Information and Visualization

Machine learning is used in a variety of computational tasks where designing and programming explicit algorithms with good performance is not easy. Applications include email filtering, recognition of network intruders or malicious insiders working towards a data breach. In this article we will focus on basics of machine learning, tasks and problems and various machine learning algorithms. The article discusses the Python programming language as the best language for automating machine learning tasks.