I wanted to find the lightest watch available that tells time, has a calendar, and is under $50 or so. I found that Casio has a large selection in that range, and their cheaper watches are known for being high quality considering the price point.
I’m attaching an Excel spreadsheet with the data I collected: CasioWatches
I’m leaning toward the Casio Men’s Sport Watch, because it is very light at just 0.74 ounces, and also has an analog display. The MQ24-7B2 weighs even less, at 0.63 ounces, but its face is not luminous, and it doesn’t have a calendar. It looks like I will have to reset the calendar on the Casio Men’s Sport Watch each month, because it isn’t perpetual. Analog watches with a perpetual calendar tend to be more expensive, ranging from ~$150 and up. Seiko appears to be a quality brand offering such perpetual watches. However, even those entry range watches tend to be much heavier and larger, and their cases are made of steel. A steel case would be cool, but I want to try a watch that is extremely light.
I often find myself sending links to Udemy courses. I decided it would help to make a blog post for quick reference, and to share.
Machine learning courses with Python:
Python for Data Science and Machine Learning Bootcamp (Python, Pandas, Numpy, Scikit-Learn) by Jose Portilla. I bought this one because it has sections on Numpy and Pandas. I’m working through this course first, to try to get a foundation for the others.
Introduction to Computer Vision (OpenCV and Python) by Rajeev Ratan. I bought this one because it specifically mentions it uses Python with OpenCV.
Computer Vision A-Z (OpenCV) by Kirill Eremenko and others. Kirill Eremenko is excellent at giving an intuition for how an algorithm works. I have used his other statistics/machine learning courses in the past, and found his teaching style extremely helpful.
Data Science, Deep Learning, & Machine Learning with Python (Python, Pandas, Apache Spark) by Frank Kane. This course has Apache Spark in the curriculum, so I bought it. I also just like to have multiple courses covering each topic, because it is helpful to intuition to see a topic explained in a few different ways.