Answer:
s = input("Input a float: ")
print("{:12.2f}".format(float(s)))
Explanation:
- Read a number from user using the input function of Python.
- Use the format function of Python to correctly format the output according to the given requirements.
- Note: Use Python 3.6 or above for this code to run without any issue.
Output:
Input a float: 1234.56789
1234.57
Answer:
U.S. Bureau of Labor Statistics.
Explanation:
The Bureau of Labor Statistics is a unit of the United States Department of Labor assigned with the task of fact-finding in the field of labor and statistics for the government. The agency helps measure the labor activity in the market and evaluates all forms of activity regarding labor conditions for the government.
This agency also functions or serves as the principal agency for the United States Federal Statistical System. It not only collects information or data but also helps spread the said information to the government. It also published a biennial handbook describing various occupations.
Answer:
<u>because the conclusion is not in agreement with the two premises.</u>
Explanation:
<em>Remember</em>, the term<u> syllogism</u> refers to the form of reasoning that draws its conclusion based on the stated premises. In other words, a conclusion is reached if it satisfies <em>all or part </em>of the premises.
In this case, the statement "No computer is made of clay" and "All computers are electronic devices" should be inferred to mean, <em><u>No </u></em><em>electronic devices are made of clay" </em>not<em> </em><em>"Some electronic devices are not made of clay," </em>since the two premises neither suggest that electronic devices are made from clay.
Answer:
A neuromorphic computer is a machine comprising many simple processors / memory structures (e.g. neurons and synapses) communicating using simple messages (e.g. spikes). ... Neuromorphic computing systems excel at computing complex dynamics using a small set of computational primitives (neurons, synapses, spikes).
Explanation:
The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
This is a tough question. I’m not sure if I’ll get it right but I’ll try.
Data structures used for file directories typically have a hierarchical tree structure, referred to as a directory structure. The tree has a root directory, and every file in that system has a unique path.
The simplest method of implementing a directory is to use a linear list of file names with pointers to the data blocks. But another way that you can format a file directory is by using a hash table. With this method, the linear list stores the directory entries, but a hash data structure is also used. The hash table takes a value computed from the file name and return the pointer to the file name any linear list.
So I think it’s C. But I’m not 100% sure.
I hope that helps.
