The two access modes that are used when opening a file for input and output when pickling are rb and wb.
<h3>What is pickling?</h3>
Pickle is generally used in Python to serialize and deserialize a Python object structure. In other words, it is the act of transforming a Python object into a byte stream in order to save it to a file/database, maintain program state across sessions, or transport data over a network. By unpickling the pickled byte stream, the original object hierarchy can be recreated. This entire procedure is comparable to object serialization in Java or .Net.
When a byte stream is unpickled, the pickle module first makes an instance of the original object before populating it with the right data. To accomplish this, the byte stream only carries data relevant to the original object instance.
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Answer:
Did the global surface temperature increase steadily from 1995 to 2013?
Did sea ice extent in polar regions reduce because of melting from 1995 to 2013?
Explanation:
Only two questions are directly related to global warnings increasing sea levels:
- Did the global surface temperature increase steadily from 1995 to 2013? Increasing temperature of the Earth's surface is actually what warming means.
- Did sea ice extent in polar regions reduce because of melting from 1995 to 2013? If the polar ice melts then the sea levels will rise.
The other three questions were about the negative effects of rising sea levels, but not what could cause them.
B. When you copy text it remains in its original location and places it on the clipboard. Cutting text removes it from its original location and places it on the clipboard
Answer:
Neural Networks
Explanation:
Neural networks are networks that mimic the behaviour of the human brain in which they tend to perform a task without been programmed with the task rule, although the neural network are artificial in nature and they often recognize patterns.
Neutral network have cell that enable them to carry out task together in order to produce a desired result and the cell can only solve a little part of tasks.