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Instead, Python uses tabs to separate code blocks, specifically 4 space tabs. One of the main rules you need to follow when writing Python code is that code chunks are not enclosed by brackets, like they are in C programming. In Windows, I suggest Programmers Notepad, and in Mac/Linux I use gedit. Now is a good time to choose a text editor, preferably one that knows you are writing Python code. Once you can invoke the Python interpreter, you can now run a simple test script. If you don't want to edit PATH variables, you can always run Python.exe directly out of your Python installation folder. If you don't do it correctly, you can really mess up your computer, so follow the instructions exactly. FYI, be VERY careful editing PATH variables. More information on this can be found here. Very likely, if the command 'python' is not found, you will need to edit your PATH variables. Copy your error code, enter it into your search engine along with the name 'python' and your OS name, and then you should see a wealth of solutions to issues similar, if not exact, to yours. If you don't see this, it is time to start some detective work.
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Python 3 is available, but I suggest sticking with 2.7, if you want the greatest compatibility.Īfter you install Python, you should be able to open a command prompt within any directory and type 'python'. The holy grail for Python 2.7 reference can be found here:Īt the time of this tutorial, Python 2.7 is the most widely used version of Python and has the most compatible libraries (aka modules). If your code has a mistake, the interpreter will stop at that line and give you an error code, along with the line number of the error.
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Your program is run by simply calling your Python script and, line by line, your code is fed into the interpreter. Once you get the Python interpreter installed, you can write scripts using any text editor. The program you write isn't compiled as a whole, into machine code, rather each line of the program is sequentially fed into something called a Python interpreter. Python is an interpreted programming language, which is slightly different than something like Arduino or programming in C.
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If you are already familiar with installing and running Python, feel free to skip ahead.
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For the GPS tracking example, you will need a GPS unit, as well as the FTDI.
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We will finish with a real-world example that takes GPS data over the serial port and plots position overlaid on a scaled map of your choice.
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The loopback test demonstrates how to send and receive serial data through Python, which is the first step to interacting with all kinds of embedded hardware over the serial port. Once you can run a simple Python script, we move to an example that shows you how to perform a serial loop back test, by creating a stripped down serial terminal program. This tutorial will start with a general introduction to Python and Python programming. Showing a trip from SparkFun to Boulder, CO. Just enter your NMEA data into a text file and the program will do the rest. The program can also be used as a general purpose NMEA parser, that will plot positions on a map of your choice. I wanted the position of the balloon plotted on my own map, so that I could actively track, without the need for internet or paper maps. Of course, with an internet connection, I could easily load my waypoints into many different online tools to view my position on a map, but I didn't want to rely on internet coverage. However, in this tutorial, instead of using radios, we will use a GPS tethered to your computer over USB, as a proof of concept. My base station is a radio receiver connected to my laptop over a serial to USB connection. My goal was to have my HAB transmit GPS data (as well as other sensor data) over RF, to a base station, and graphically display position and altitude on a map. In my quest to design a radio tracking system for my next HAB, I found it very easy to create applications on my computer and interact with embedded hardware over a serial port using the Python programming language.
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