Raspberry pi up and running again

I spent this week trying to fix our corrupted raspberry pi. First, I cleared the SD card and downloaded Raspbian onto the SD card. I also had to download 7zip, because a tutorial warned me that the windows extraction tool could cause the raspbian download to become corrupted. Then I had to download balena to flash the OS image onto the SD card. When I set up the raspberry pi, I realized that I did not have a keyboard to connect to it, so I had to download an app on my phone that would allow my phone to serve as a keyboard. Through the setup process, I tried to adjust the size of the screen to fit my tv size, but it became too large and I could not see important things on the sides such as the settings button and wifi buttons. Then I needed to be able to use arrow keys to change these settings, but my phone keyboard did not have these. Then I had to download a keyboard to my phone that would allow me to use arrow keys, alt, and ctrl keys. After this my phone would not connect to the raspberry pi so I spent time trying to troubleshoot why it wouldn't. I was very frustrated but it eventually worked and I fixed the screen. I then spent time going through a tutorial teaching me to build tensor flow by scratch. I was about half way through when I happened to look at the comments of the video where the poster showed a new shortcut way to download tensorflow that would not take hours like the method I was currently using. I was very mad because I had already spent many hours with the videos method, but all I could do was laugh. The videos method involved using a flashdrive to download everything onto, so I just stopped using the flashdrive and downloaded tensorflow with the easier method. I believe it is all up and running, but I still need to run some sample codes to test it. I still am not sure about why we had issues in the past. I can only think that maybe our Raspbian OS was corrupted from the beginning. The method I first used to download tensorflow was very different than we were trying before, but the new simpler method looked more similar to what we were trying before, except I did not have to download tf-nightly. I also did not experience the same errors we kept getting before. Until I try some test code I will not know if I am for sure in the clear at this point.

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