Answer:
def extract_title(file):
import re
a =''
with open(file,'r') as file:
for line in file:
a += line
m = re.search("^(TITLE)(.*?)(JOURNAL)", a, re.M + re.S)
print(m.groups()[1])
extract_title('new.txt')
Explanation:
The programming language used is python 3.
The function is first defined and the regular expression module is imported.
A variable is initialized to an empty string that will hold the content of the GenBank formatted file.
The file is opened and every line in the file is assigned to the string variable. The WITH statement allows files to be closed automatically.
Regular expression is used to capture all the files between TITLE and JOURNAL in a group.
The group is printed and the function is called.
I have attached a picture of the code in action.
Answer:
Question is incomplete.
Assuming the below info to complete the question
You have a collection of n lockboxes and m gold keys. Each key unlocks at most one box. Without a matching key, the only way to open a box is to smash it with a hammer. Your baby brother has locked all your keys inside the boxes! Luckily, you know which keys (if any) are inside each box.
Detailed answer is written in explanation field.
Explanation:
We have to find the reachability using the directed graph G = (V, E)
In this V are boxes are considered to be non empty and it may contain key.
Edges E will have keys .
G will have directed edge b1b2 if in-case box b1 will have key to box b2 and box b1 contains one key in it.
Suppose if a key opens empty box or doesn’t contain useful key means can’t open anything , then it doesn’t belongs to any edge.
Now, If baby brother has chosen box B, then we have to estimate for other boxes reachability from B in Graph G.
If and only if all other boxes have directed path from box B then just by smashing box B we can get the key to box b1 till last box and we can unlock those.
After first search from B we can start marking all other vertex of graph G.
So algorithm will be O ( V +E ) = O (n+m) time.
Answer: ....
Big Data
Explanation:
Big Data Technology can be defined as a Software-Utility that is designed to Extract,Analyse and Process the information from an extremely complex and large data sets which the Traditional Data Processing Software could never deal with. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Predictive analytics assists enterprises in identifying future opportunities and likely risks by distinguishing specific patterns over the historical data. In general, prescriptive analytics is a predictive analytics which prescribes one or more courses of actions and shows the likely outcome/influence of each action.
A. because everyone basically has seen it..
An effective team leader shows great skills in every area, shows great support and respect to his teammates and is very easy to get along with.
