Intrvw: Difference between revisions
→Google GCP Workspaces
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Line 1:
= Google GCP Workspaces =
* Code:
<syntaxhighlight lang='python'>
with open('tab.txt','r') as tab, open('csv.txt','r') as csv, open('data.txt','w') as data:
for line in tab.readlines():
data.write(' '.join(line.strip().split('\t'))+'\n')
for line2 in csv.readlines():
data.write(' '.join(line2.strip().split(','))+'\n')
data.close()
with open('data.txt','r') as file:
for line in file.readlines():
print(line)
</syntaxhighlight>
* Code2:
<pre>
def analyze(numbers):
result = []
index = {}
min = None
max = None
for n in numbers:
index[n] = True
if not max or n > max:
max = n 9
if not min or n < min:
min = n 0
for n in range(min + 1, max):
if not n in index:
result.append(n)
return result
analyze()
4,5,6,7,8
3rd
0—-
analyze([5,9])
(6,9)
result = [6,7,8]
analyze([3,0,5,9])
4,3
Result = [1,2,4,6,7,8]
</pre>
* Equivalent Code:
<pre>
def analyze(numbers):
min = None
max = None
for n in numbers:
print(n)
if not max or n > max:
max = n
if not min or n < min:
min = n
print("max: ",max," min: ",min)
</pre>
* Results:
<pre>
>>> analyze([3,0,5,9])
3
max: 3 min: 3
0
max: 3 min: 0
5
max: 5 min: 5
9
max: 9 min: 5
</pre>
* Logic:
<pre>
>>> min = None
>>> not min
True
>>> min = 0
>>> not min
True
</pre>
* Working code for Min & Max:
<pre>
def analyze(numbers):
min = 0
max = 0
for n in numbers:
print(n)
if n > max:
max = n
if n < min:
min = n
print("max: ",max," min: ",min)
</pre>
= Amzn SysDE II =
Line 9 ⟶ 119:
* Coding
<syntaxhighlight lang='python'>
## Write a function that gives you the average latency in a log file with the following format
#
Line 77 ⟶ 188:
avg_lat('/var/log/syslog')
</syntaxhighlight>
;Debrief
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