Solution:
Inspect the resources defined in the itertools library by using the dir() function:
>>> import itertools >>> dir(itertools) ['__doc__', '__loader__', '__name__', '__package__', '__spec__', '_grouper', '_tee', '_tee_dataobject', 'accumulate', 'chain', 'combinations', 'combinations_with_replacement', 'comp ress', 'count', 'cycle', 'dropwhile', 'filterfalse', 'groupby', 'islice', 'permutations', 'product', 'repeat', 'starmap', 'takewhile', 'tee', 'zip_longest']
Use the help() function to read about how to use the itertools library:
>>> help(itertools)
You should see an output such as this:
Help on built-in module itertools: NAME itertools - Functional tools for creating and using iterators. DESCRIPTION Infinite iterators: count(start=0, step=1) --> start, start+step, start+2*step, ... cycle(p) --> p0, p1, ... plast, p0, p1, ... repeat(elem [,n]) --> elem, elem, elem, ... endlessly or up to n times Iterators terminating on the shortest input sequence: accumulate(p[, func]) --> p0, p0+p1, p0+p1+p2 chain(p, q, ...) --> p0, p1, ... plast, q0, q1, ... chain.from_iterable([p, q, ...]) --> p0, p1, ... plast, q0, q1, ... compress(data, selectors) --> (d[0] if s[0]), (d[1] if s[1]), ... dropwhile(pred, seq) --> seq[n], seq[n+1], starting when pred fails groupby(iterable[, keyfunc]) --> sub-iterators grouped by value of keyfunc(v) filterfalse(pred, seq) --> elements of seq where pred(elem) is False islice(seq, [start,] stop [, step]) --> elements from seq[start:stop:step] starmap(fun, seq) --> fun(*seq[0]), fun(*seq[1]), ... tee(it, n=2) --> (it1, it2 , ... itn) splits one iterator into n takewhile(pred, seq) --> seq[0], seq[1], until pred fails zip_longest(p, q, ...) --> (p[0], q[0]), (p[1], q[1]), ... Combinatoric generators: product(p, q, ... [repeat=1]) --> cartesian product permutations(p[, r]) combinations(p, r) combinations_with_replacement(p, r) CLASSES builtins.object accumulate chain combinations combinations_with_replacement compress count cycle dropwhile filterfalse groupby islice /var/folders/lb/k8ws21qn1x5gxq9zbrlqxp9w0000gn/T/tmp__ayalkd
Solution:
def package_enumerator(package):
"""
List the resources defined in a package or module.
"""
resources = dir(package)
for resource in resources:
print(resource)
import string
package_enumerator(string)Solution:
import random
def random_number_generator(l):
"""
Generate a list of random numbers of length l.
"""
output = []
for i in range(l):
output.append(random.randint(0, 1000))
return outputSolution:
with open("myfile.txt", 'w') as f:
f.write("I love Python")Solution:
import csv
output_data = []
with open('input.csv', 'r') as f:
mock_data_reader = csv.reader(f)
output_data = []
line_count = 1
for row in mock_data_reader:
if line_count != 1:
row[1] = int(row[1]) * 15
output_data.append(row)
line_count += 1
with open('output.csv', 'w') as f:
fields = ['name', 'wages']
output_writer = csv.DictWriter(f, fieldnames=fields)
output_writer.writeheader()
for line in output_data:
output_writer.writerow(
{
'name': line[0],
'wages': line[1]
}
)This sample solution is also present in the wage_calculator.py file in the accompanying code files.