Ummmmm I don’t know but I wanna know now.....
The solution to the growing amount of data in software applications to have fully sustainable usage for customers is;
- Development of a sustainable model for the future now requires data storage that is engineered to be lower power requirements, lower cooling requirements, and lower waste production.
<h3>Sustainable data storage and usage</h3>
The objective of Sustainable Data Storage Initiative is to spread awareness of the solutions that can reduce the environmental impact of high waste producing data centers.
The environmental impact of data infrastructure is growing as data workloads increase. Hence, building a sustainable model for the future now requires data storage that is engineered to be lower power requirements, lower cooling requirements, and lower waste production.
Read more on Sustainable data storage and usage;
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Answer:
Basically, dealing with the "software crisis" is what we now call software engineering. We just see the field more clearly now.
What this crisis was all about is that in the early days of the modern technological era -- in the 1950s, say -- there was tremendous optimism about the effect that digital computers could have on society, on their ability to literally solve humanity's problems. We just needed to formalize important questions and let our hulking "digital brains" come up with the answers.
Artificial intelligence, for example, had some early successes in easy to formalize domains like chess and these sorts of successes led to lots of people who should have known better making extremely naive predictions about how soon perfect machine translation would transform human interaction and how soon rote and onerous work would be relegated to the dustbin of history by autonomous intelligent machines.
Here is a Python program:
tmp = input().split(' ')
c = tmp[0]; s = tmp[1]
ans=0
for i in range(len(s)):
if s[i] == c: ans+=1
# the ans variable stores the number of occurrences
print(ans)
