Python Remove Quotes

Before entering our room we had to remove our shoes. Here Ken and myself made what I expected to be the first of many faux pas. After taking our shoes off, we noticed some oriental style slippers nearby and presumed that we ought to put these on in true Japanese style. Grumbling that they were all too small, we eventually selected two pairs and were tottering to our room when one of the Japanese ‘attendants’ – it wouldn’t be quite right to call them ‘waitresses’ – stopped us excitedly and told us to take off the shoes. Then we realised the awful truth – that they belonged to people already eating there.

An investor who went from the stock market to the bond market was like a small, furry creature raised on an island without predators removed to a pit full of pythons.

The programmer, like the poet, works only slightly removed from pure thought-stuff. He builds his castles in the air, from air, creating by exertion of the imagination. Few media of creation are so flexible, so easy to polish and rework, so readily capable of realizing grand conceptual structures.

In order to optimize the memory-dominated effects, let us try using the same method we used in Example 6-6 in order to reduce the number of allocations we make in our numpy code. Allocations are quite a bit worse than the cache misses we discussed previously. Instead of simply having to find the right data in RAM when it is not found in the cache, an allocation also must make a request to the operating system for an available chunk of data and then reserve it. The request to the operating system generates quite a lot more overhead than simply filling a cache — while filling a cache miss is a hardware routine that is optimized on the motherboard, allocating memory requires talking to another process, the kernel, in order to complete. In order to remove the allocations in Example 6-9, we will preallocate some scratch space at the beginning of the code and then only use in-place operations. In-place operations, such as +=, *=, etc., reuse one of the inputs as their output. This means that we don’t need to allocate space to store the result of the calculation.

/"and "//"are both division operators. The operation result of "/"is a floating-point number. The "//"will remove the decimal part of the division calculation result and only takes the integer. The "%" operator is the remainder.

# Removing a key-value pair my_dict["city"] = "New York" del my_dict["city"]

the del statement can be used to remove an instance variable:

del MyClass.x is possible as well, it removes the class attribute.

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