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Serhud [2]
2 years ago
7

Write a recursive Python function – recEmptyStack(S) for removing all the elements from a stack S

Computers and Technology
1 answer:
Masteriza [31]2 years ago
6 0

The sample recursive Python Function is given below. See the definition of a Recursive Python Function.

<h3>What is a Recursive Python Function?</h3>

A recursive function is one that defines itself in terms of itself using self-referential phrases.

This signifies that the function will keep calling itself and repeating its action until some condition is fulfilled and a result is returned.

Sample Recursive Python Function is:

def remove_all0(x,s):

   while s!=[]:

       if x == s[0]:

           ss = [s[1]] + remove_all0(x,s[2:])

           return ss

       else:

           s1 = [s[0]] + remove_all0(x, s[1:])

           return s1

   if s==[]:

       return s

print(remove_all0(3,[4,3,5,6,3,2,1]))

Learn more about Recursive Python Functions at;
brainly.com/question/14208577
#SPJ1

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Answer:

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Explanation:

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3 years ago
What is the purpose of a web server? What is the purpose of a web browser?
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Answer: the purpose of a web browser is to help answer and needed questions, and to get to sites.

Explanation:

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frosja888 [35]
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6 0
4 years ago
Create a series called 'directors' that contains each director's name and his or her average rating. Print out the type of your
sasho [114]

Using the computational language in python it is possible to write a code that we will use graphics to organize the names of the directors and the films they made.

<h3>Writing code in python:</h3>

<em>import pandas as pd</em>

<em>df = pd.read_csv('all_data/movie_metadata.csv')</em>

<em>print('Shape: ',df.shape)</em>

<em>df.head()</em>

<em>name = df[['director_name','imdb_score']] </em>

<em>directors = name.groupby(['director_name']).mean() </em>

<em>directors = directors.reset_index() </em>

<em>directors = directors.stack()</em>

<em>print(directors,'\n')</em>

<em>print(type(directors),'\n')</em>

<em>print(directors[directors=='Steven Spielberg'],'\n')</em>

<em>print(directors[102]['imdb_score'])</em>

<em>miyazaki = df[df['director_name'] == 'Hayao Miyazaki']['movie_title']</em>

<em>print(miyazaki)</em>

<em>pivot_agg = pd.pivot_table(df,values='imdb_score', index=['country'], columns=['director_name'],aggfunc=np.median)</em>

<em>pivot_agg</em>

<em>gladiator_duration = df[df['movie_title']=='Gladiator\xa0']['duration'] </em>

<em>gladiator_duration</em>

See more about python at brainly.com/question/18502436

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6 0
2 years ago
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