Answer:
b. to the end of the line
Explanation:
Great question, it is always good to ask away and get rid of any doubts that you may be having.
Python is a unique language compared to other languages such as Java and C++. In Python comments are started with the comment marker which is the hashtag (#) symbol and continues <u>to the end of the current line</u>. Once the line ends the next line is <u>NOT</u> automatically considered a comment unless another hashtag is placed.
I hope this answered your question. If you have any more questions feel free to ask away at Brainly.
Designers use both isometric and perspective sketches to
maintain an object’s visual proportions. Isometric sketches are 3D objects
drawn with lines that have no vanishing points while perspective sketches are 3D
objects drawn with one or more vanishing points.
Designers choose to use an
isometric sketch because it is more accurate than perspective drawings and
makes the design look more professional. Isometric sketches are much easier to
handle because the length of each measure is same as the plan. This is especially
for designers drawing pictures by hand. It is time saving and you do not need
to calculate the angle of every edge.
The discipline of building hardware architectures, operating systems, and specialized algorithms for running a program on a cluster of processors is known as <u>parallel computing.</u>
<u></u>
<h3>What is Parallel Computing?</h3>
Parallel computing refers to the process of breaking down larger problems into smaller, independent, often similar parts that can be executed simultaneously by multiple processors communicating via shared memory, the results of which are combined upon completion as part of an overall algorithm. The primary goal of parallel computing is to increase available computation power for faster application processing and problem solving.
<h3>Types of parallel computing</h3>
There are generally four types of parallel computing, available from both proprietary and open source parallel computing vendors:
- Bit-level parallelism: increases processor word size, which reduces the quantity of instructions the processor must execute in order to perform an operation on variables greater than the length of the word.
- Instruction-level parallelism: the hardware approach works upon dynamic parallelism, in which the processor decides at run-time which instructions to execute in parallel; the software approach works upon static parallelism, in which the compiler decides which instructions to execute in parallel.
- Task parallelism: a form of parallelization of computer code across multiple processors that runs several different tasks at the same time on the same data.
- Superword-level parallelism: a vectorization technique that can exploit parallelism of inline code.
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