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How many snakes do you need? - An introduction to concurrency and parallelism in Python

Performance matters

At some point, every Python developer wonders if it's their program that is slow, or Python that is slow. In most cases, it is their program itself. Although Python gets a bad rap for being slower than compiled languages like C, C++, developers can utilize concurrency and parallelism to see significant gains.

A whole new way to experience GIS

The ArcGIS API for Python is easy to learn and extremely useful for data scientists, GIS administrators, and GIS analysts. One of the features that makes this API so powerful is its integration with Jupyter Notebook. Jupyter Notebook is a web-based integrated development environment (IDE) for executing Python code. Unlike other traditional IDEs that are designed for developers, Jupyter Notebook provides a simple and easy-to-use interface that encourages the Read-Eval-Print Loop (REPL) process that is central to learning how to code in Python... Read more here