The first major issue that most people have with a new software is being able to install and execute it. To make this process easier, I make two video lectures on how to install Python Power Electronics in Windows and Linux. I am a Linux user but a vast majority of engineers will be Windows users.
In Windows, I used Anaconda Python which is an entire Python ecosystem. You can download and install it for free on your computer. After which you can create an environment. The advantage of creating an environment is to be able to create a separate isolated container for a particular application. This is particularly when you use your computer for work or study with a different version of Python and do not want an experimental software from messing up your work system. Inside this environment install Django and MatPlotLib which are dependencies for Python Power Electronics besides Python. The entire video is here:
https://www.youtube.com/watch?v=JRKUenYBIA4&feature=youtu.be
In Linux, I use virtualenv to create a similar Python virtual environment. Inside this environment, I use pip to install Django and MatPlotLib. The entire video can be found here:
https://www.youtube.com/watch?v=jM28A2MD8u4&feature=youtu.be
Now that these lectures describe how to install Python Power Electronics in Windows and Linux, the next part will be on how to simulate a circuit with it. There are three aspects to this. First is the basic circuit simulation. How would you simulate a circuit without any control. Just the circuit, the parameters of the components and how to run it and check the results. This video describes that:
https://www.youtube.com/watch?v=Vv0wYq0BPsU&feature=youtu.be
The next video will describe how to detect and fix bugs in a simulation. There are a few common mistakes that are made quite often and can be fixed fairly easily. The more complex errors are those that occur due to control problems and these are a bit tough to decode. Control problems will be deferred to a later video lecture along with describing how control can be included in a simulation.
In Windows, I used Anaconda Python which is an entire Python ecosystem. You can download and install it for free on your computer. After which you can create an environment. The advantage of creating an environment is to be able to create a separate isolated container for a particular application. This is particularly when you use your computer for work or study with a different version of Python and do not want an experimental software from messing up your work system. Inside this environment install Django and MatPlotLib which are dependencies for Python Power Electronics besides Python. The entire video is here:
https://www.youtube.com/watch?v=JRKUenYBIA4&feature=youtu.be
In Linux, I use virtualenv to create a similar Python virtual environment. Inside this environment, I use pip to install Django and MatPlotLib. The entire video can be found here:
https://www.youtube.com/watch?v=jM28A2MD8u4&feature=youtu.be
Now that these lectures describe how to install Python Power Electronics in Windows and Linux, the next part will be on how to simulate a circuit with it. There are three aspects to this. First is the basic circuit simulation. How would you simulate a circuit without any control. Just the circuit, the parameters of the components and how to run it and check the results. This video describes that:
https://www.youtube.com/watch?v=Vv0wYq0BPsU&feature=youtu.be
The next video will describe how to detect and fix bugs in a simulation. There are a few common mistakes that are made quite often and can be fixed fairly easily. The more complex errors are those that occur due to control problems and these are a bit tough to decode. Control problems will be deferred to a later video lecture along with describing how control can be included in a simulation.
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