Answer:
new_segment = [ ]
for segment in segments:
new_segment.append({'name': segment, 'average_spend': money})
print( new_segment)
Using list comprehension:
new_segment =[{'name': segment, 'average_spend': money} for segment in segments]
Using map():
def listing(a):
contain = {'name': segment, 'average_spend': money}
return contain
new_segment = [ ]
new_segment.append(map( listing, segment))
print(list(new_segment)
Explanation:
The python codes above create a list of dictionaries in all instances using for loop, for loop in list comprehension and the map function which collect two arguments .
Answer:
Following are the solution to this question:
Explanation:
There is some difference between both the path expected by different computer simulations on 25 August. There is also some variance between 50 km to 500 km in the predicted route but the path is also unique in each model evaluation. It might be because any and every possible situation is repeated by the computer program. Many simulations will focus mostly on variations of strain, one might focus on the temperature variation, or one might concentrate on certain variables. But each model suggests all and every parameter which is inserted during a very photographer's encoding. There are therefore several possibilities of variability in forecasting the Hurricane's course. Here and some forecasts have shown that hurricanes would pass through Florida fully, and also some models have shown that hurricanes would pass thru the Gulf Coast, accompanied by the areas of Mississippi or Louisiana. This is the real difference in the direction of these models.
Answer: Storage
Explanation:
Storage means means saving data in computer memory. Memory refers to the location which is meant for short-term data, while storage is the part of the computer system that allows an individual to store and also access data on long-term basis.
It should be noted that typically, storage usually comes in form of a hard drive or a solid-state drive.
Answer:
Explanation:Nowadays multimedia is characterized by a very complex nature due to the combination of different type of media, data sources, formats and resolutions, etc. Moreover, the performance is an important factor because of the sheer scale of the data to process. Therefore, the area of high-performance and scalable multimedia system gets more important. One of most important, complex and rapidly growing part of multimedia processing is the medical field. In most of the hospitals the potential of the large amount of collected multimedia data is ignored. This is very often because of the difficulties that processing such amount of data implies and lacking of efficient and simple-to-use analysis system. On the other hand, medical experts get more used to interact with multimedia content because of their daily live interaction and they want to use it also in their work. Most of the time this is a problem and the most common multimedia problems lay unsolved in this area. In this talk this problem is put into the spotlight and a multimedia system is presented that tackles automatic analysis of the gastrointestinal tract as a part of this problem. The focus lies on the presentation and evaluation of multimedia systems capabilities in the medical field. Therefore a novel system, that utilizes the benefits of heterogeneous architectures and can be used to automatically analyse high definition colonoscopies and large amount of capsular endoscopy devices are presented as a use case. Furhter it will be shown, that the improvement of multimedia systems performance via GPU-based processing which can help to reach real-time, live multimedia stream processing and low resource consumption which is important for the medical field and can help to save lives.
