[2021] Download Fancy Me App

We used to make homemade bunsen burners in Girl Guides when I was younger with recycled cardboard cut into long thin strips to fit in fancy feast cans we filled with wax and added a wick. We then used apple or tomato juice cans that were taller and larger cut a few rectangular holes around the bottom of the can and triangle holes along the outside of the top using a can opener with a point. We made pancakes, grilled cheese quesadiallas and soup etc etc and the burners cost next to nothing to make and are light weight and last hours.

Here is a tip for getting that gooey fancy feast label glue off the can.

1. Remove the label.

2. Run hot water over the can to get the glue good and gooey.

3. Then apply olive oil liberally and let it set for at least 30 seconds.

4. Finally rub firmly with a Bounty paper towel and should all come off after a minute or two.

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I am wondering if this could be due to the can I am using. I used a 3 ounces tuna can which is made of recycled steel. Are fancy feast cans more easy to punch? Is that why you use those instead of other cans?

In the case of fancy indexing, the indices generated for the two axes are combined "in tandem" (similar to how the zip function combines two input sequences "in tandem". (In the words of the official numpy documentation, the two index arrays are "iterated together"). We are passing the list [0, 1] for indexing the array on axis 0, and passing the list [1, 2] for indexing the array on axis 1. The index 0 from the index array [0, 1] is combined only with the corresponding index 1 of the index array [1, 2]. Similarly, the index 1 of the index array [0, 1] is combined only with the corresponding index 2 of the index array [1, 2]. In other words, the index arrays do not combine with each other in a many-to-many fashion. All this was about fancy indexing.

In the case of slicing, the slice :2 that is specified for axis 0 conceptually generates indices '0' and '1' for axis 0; and the slice 1: specified for axis 1 conceptually generates indices 1 and 2 for axis 1. But these generated indices combine in a many-to-many fashion, unlike in the case of fancy indexing. So, they produce four combinations rather than just two.

Curious about my blog title? The plain part describes my first 24 years as a Mennonite girl in Lancaster County, Pennsylvania and the fancy follows as I move south: first to Charlotte, North Carolina, and then to Jacksonville, Florida. e24fc04721