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armaizadenwala

100 karma · joined March 1, 2020

Hi I'm Armaiz. A Software Engineer based in Sacramento, CA and San Francisco, CA.

Always looking forward to learning new technologies and sharing what I learn on my personal website: https://armaizadenwala.com

submissionscomments
armaizadenwala··on Ask HN: Do you ever truly use your revision history?
For recent commits, it is useful for figuring out causes of bugs that have been brought up recently by checking out to an earlier commit until it goes away.

As for commits that are over 2 years old, they still serve a purpose. For a legacy app that I worked on, I had `git blame` ran on every line (vim and vscode both have support), and I was able to see who worked on a block of code last. Sometimes, those developers are still there and available to ask questions which has helped me greatly.

armaizadenwala··on Using Pytesseract to Convert Images into a HTML Site
Hi! Thank you!

Tesseract is trained to only recognize text from images. I haven't looked into image detection yet though.

This project fits the situation where you need to digitize a bunch of physical copies / scans of documents. Sometimes these documents have images like company logos which would be useful to include in the final html page.

I'll try to take a look into it, it is a wonderful idea for a 2nd part. This current post is geared towards helping others transition into the world of data science with OCR by describing every step of the way.

armaizadenwala··on How to Create a LED Mask Using Arduino, NeoPixels, and C++
I have one laying around! Is it as easy as just soldering the wires on the pins just like the nano?
armaizadenwala··on How to Create a LED Mask Using Arduino, NeoPixels, and C++
Thank you! I can't wait to upgrade it with a better microcontroller!
armaizadenwala··on How to Create a LED Mask Using Arduino, NeoPixels, and C++
Thank you for this post! When I started, I didn't realize how low powered these nanos are. I spent forever getting the variables under 1.1kb but I just discovered the teensy 4.0 that supports 1000x as much memory and 30x the processor speed.

I am still glad I started with the nano because it got me to refactor my code and make it memory efficient.