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Articles by Aayush Shukla
39 articles
Ways to Convert Boolean Values to Integer in Python
Python is a widely used programming language used for different purposes all over the world like web development, data science, machine learning and to perform various processes with automation. The output of Boolean is in the form of True & False. So, if we want to convert it into integer, we can represent true as 1 and false as 0. In this article we will learn about the different ways to convert Boolean values into Integer. Different Ways to Convert Boolean Value to Integer Integer Function In this method we will run the integer function along ...
Read MoreWays to Concatenate Boolean to String in Python
One can refer this article to learn about different methods to concatenate Boolean to string. All the different methods can be used in different cases. Different Methods to Concatenate Boolean to String String Function Let's take an example to understand it in a proper manner: - Example # Case 1 value_of_boolean = True # The value of Boolean is given as input to the function final_string = "The value of the boolean will be displayed as: " + str(value_of_boolean) # The Boolean is converted into string with the help of str function print(final_string) # ...
Read MoreWays to check if a String in Python Contains all the same Characters
Python is a very commonly used programming language used for different purpose such as web development, data science, machine learning and to perform many different processes with automation. In this article we will learn about different ways to check if a string in python contains all the same characters. Different Methods to Check if a String in Python Contains All the Same Characters Set Function Set will help us to check the similarities in between the strings given as input in the program. This is a very simple method and the output will be displayed as ...
Read MorePython - Vowel Indices in String
Python is a widely used programming language for different purposes such as web development, data science machine learning and to perform many different processes with automation. In this article, we'll explore how to use several Python features to extract vowel indices from a given text. Different Methods to Find Vowel Indices in a String For Loop In this method by simply checking each element in the string, we can determine if it is a vowel and record its index. We can understand it in a better way through the following syntax and example: - Example def vowel_indices_in_a_string(whole_string): ...
Read MoreSubset Equality is NP Complete
Subset Correspondence, otherwise called the "Subset Total" issue, is an exemplary NP-complete computational issue. Given a bunch of numbers and an objective worth, the undertaking is to decide if there exists a subset of the numbers whose total is equivalent to the objective worth. The issue's NP-culmination emerges from its capacity to address an extensive variety of other NP-complete issues through polynomial-time decreases. Regardless of its straightforward definition, no realized effective calculation can tackle "Subset Correspondence" for all occurrences, making it of critical interest in hypothetical software engineering and streamlining, with functional applications in different fields, like cryptography, asset distribution, ...
Read MoreSum of all Pair Shortest Paths in a Tree
The term "sum of all pair shortest paths" in a tree refers to calculating the total of all node pairs' individual shortest paths. An effective way to do this is to use the Double DFS (Depth-First Search) algorithm. Determine the separation between a chosen node and every other node during the first DFS pass. Once more traverse the tree during the second DFS pass, taking into account each node as a potential LCA (Lowest Common Ancestor), and add up the distances between pairs of nodes that are descendants of the chosen LCA. The sum of all pair shortest paths in ...
Read MoreSet Partition is NP Complete
Set Parcel is a NP-complete issue in which the errand is to decide if a given arrangement of positive whole numbers can be separated into two subsets with equivalent totals. NP-culmination suggests that there is no known polynomial-time calculation to tackle it for all occurrences, and confirming a potential arrangement should be possible in polynomial time. Numerous other NP-complete issues can be decreased to Set Segment, exhibiting its computational intricacy and its significance in understanding the more extensive class of NP-complete issues. Because of its intricacy, tackling enormous cases of the Set Segment issue might demand dramatic investment, making it ...
Read MoreQueries to Count Connected Components after Removal of a Vertex from a Tree
The following queries can be used to determine how many connected components remain after a tree vertex is removed: Start by taking the tree structure into account. Then, by moving through the tree using breadth- or depth-first search algorithms, examine each connected component. Utilise the same traversal method to decide the number of connected components once the desired vertex has been expelled. The result will be decided by the variation between the counts before and after the expulsion. This method effectively monitors connectivity changes and aids in counting the connected components in the updated tree. Methods Used ...
Read MorePython NetworkX – Tutte Graph
An effective library for modelling and analysing intricate networks and graphs is Python NetworkX. The term "Tutte Graph" refers to a unique class of graphs that W. T. Tutte found. It entails the use of the library's features to implement and investigate Tutte Graphs in the context of Python NetworkX. Tutte Graphs have special characteristics and can be used to address a variety of graph-theoretical issues. Users can learn more about these graphs' structural properties and applications by examining them with NetworkX, which will help them better comprehend graph theory and its applications. Tutte Graph Every face of ...
Read MorePrint Nodes Which are not Part of any Cycle in a Directed Graph
In a coordinated diagram, recognizing hubs that are not piece of any cycle is critical for different applications. These hubs structure the underpinning of non-cyclic subgraphs and assume a huge part in understanding the general chart structure. By using effective chart crossing calculations, for example, Profundity First Hunt (DFS) or Tarjan's calculation for firmly associated parts, we can without much of a stretch decide and print the hubs that are not engaged with any cycle. These methodologies guarantee that hubs with no cycle cooperation are featured, giving important bits of knowledge into the diagram's non-cyclic parts and supporting different chart ...
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