MPLAB Data Visualizer vs. MPLAB Integrated Programming Environment vs. Python vs. Sourcery CodeBench Comparison Chart

Troubleshooting your code's run-time behavior has never been easier. MPLAB® Data Visualizer is a free debugging tool that graphically displays run-time variables in an embedded application. Available as a plug-in for MPLAB X Integrated Development Environment (IDE) or a stand-alone debugging tool, it can receive data from various sources such as the Embedded Debugger Data Gateway Interface (DGI) and COM ports. You can also track your application's run-time behavior using a terminal or graph. To get started with visualizing data, check out the Curiosity Nano Development Platform and Xplained Pro Evaluation Kits. Capture data streamed from a running embedded target via serial port (CDC) or the Data Gateway Interface (DGI). Concurrently stream data and debug target code using MPLAB® X IDE. Decode data fields at runtime using the Data Stream Protocol format. Visualize the raw or decoded data in a graph as a time series or display the data in a terminal.

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.