Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Using Iterations in Python Effectively
In this article, we will learn about how to implement iterators and their effective implementation in Python 3.x. Or earlier. Let’ s take a look at various methods available in python which implements iterators.
Type 1 − Implementation Of While Loop With Known Length
Example Code
genre = ("Python","C","C++","Java")
print("The topic available on Tutorial's Point are:")
i = 0
while (i < len(genre)):
print (genre[i])
i += 1Explanation
Due to its less compact structure, this method is not favored. Error Handling is also difficult in this case . Large-scale programs or designs doesn’t use this approach.
Output
The topic available on Tutorial's Point are: Python C C++ Java
Type 2 − Implementation of for loop with known length
Example Code
genre = ("Python","C","C++","Java")
print("The topic available on Tutorial's Point are:")
for i in range(len(genre)):
print (genre[i])Explanation
This is the most favoured method used by programmers. Here range() functions serves as a medium to increment or decrement the iterator. By default, it increments the iterator by 1. In case we specify the step of incrementation or decrementation, it works according to the step value provided.
Output
The topic available on Tutorial's Point are: Python C C++ Java
Type 3 − Implementation Of for loop without length
Example Code
genre = ("Python","C","C++","Java")
print("The topic available on Tutorial's Point are:")
for i in genre:
print (i)Explanation
This method is usually favoured in linear data structures like lists, dictionary, tuples, n dimensional-arrays, etc. The iterator traversed each component of the specified structure and displays data to the console. Incrementation is automatic in this type.
Output
The topic available on Tutorial's Point are: Python C C++ Java
Type 4 − Implementation Via Enumerate Data Type
Example Code
genre = ("Python","C","C++","Java")
iterator = enumerate(genre)
print("The topic available on Tutorial's Point are:")
for i,v in iterator:
print (v,end="\t")Explanation
In this case enumerate helps us to create a dictionary in which indexes serves as keys and values in the list as their corresponding values. Here we have to specify two iterators; one for the index and another for the value to be displayed.
Output
The topic available on Tutorial's Point are: PythonCC++Java
Type 5 − Implementation Via Zip Function
Example Code
genre = ("Python","C","C++","Java")
extras = ["C#","Dart","Erlang","Go"]
print("The topic available on Tutorial's Point are:")
for i, j in zip(genre,extras):
print (i, j,sep="\t")Explanation
Here we specify two linear data structure i.e. list, array or tuple with the help two iterators. To do this we take the help of zip function which comes very handy while handling various scenarios. It takes up the data structure with a shorter length and skips the content of the larger data structure.
Output
The topic available on Tutorial's Point are: PythonC# CDart C++Erlang JavaGo
Conclusion
In this article, we learnt how to implement the Stack & Queue data structure in Python 3.x. Or earlier. You can implement the same algorithm to implement a stack/queue detector program in any other programming language.
122 Views
