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Python For Loop increment Tricky Example

In this post, I have explained tricky for loop example in Python. The usage of FOR LOOP is to create loops. How many times the loop will execute you may supply in the input.

My Project is to get each character from the input String. I use for loop to achieve this.
Tricky FOR LOOP Examples Explained different for loop examples.
1. Python For Loop Syntax using Variable or Array >> for valuein variable
Python For Loop Example >> myName = 'srinimf'

>> for valuein myName
...        print(value)

The result is as follows:
s
r
i
n
i
m
f
2. Python For Loop With '1' to '10' or 'n'for(i=1;i<=10;i++)<loopbody> The above for loop useful to create definite loop. The maximum loops are '10'. You can write your logic for each value in Python.

This is one of the tricky and most popular example.
3. How does a Python For Loop works a Flowchart

The 'letter' contains ValuestateName is an Array or VariableAfter For Loop you can use BODY s…

Story IoT devices human intelligence basic concepts (3 of 3)

Artificial intelligence is now changing the world. It is also called synonym for automation. The new concept is we can implement AI in software development life cycle.

How we can develop software applications with improved quality?

Software Engineering is concerned with the planning, design, development, maintenance, and documentation of software systems. It is well known that developing high-quality software for real-world applications is complex. Such complexity manifests itself in the fact that software has a large number of parts that have many interactions and the involvement of many stakeholders with different and sometimes conflicting objectives. Furthermore, Software Engineering is knowledge-intensive and often deals with imprecise, incomplete and ambiguous requirements on which analysis, design, and implementations are based on.

Artificial intelligence (AI) techniques such as knowledge-based systems, neural networks, fuzzy logic, and data mining have been advocated by many researchers and developers as a way to improve many of the software development activities. 

Artificial Intelligence

As with many other disciplines, software development quality improves with the experience and knowledge of the developers, past projects and expert opinions. The software also evolves as it operates in changing and volatile environments. Hence, there is significant potential for using AI for improving all phases of the software development lifecycle.

From the management point of view, during the course of a project, developers and managers need to make important decisions, plan and predict resources and time.

Expert systems, neural networks, Bayesian networks, and machine learning techniques have been found to be useful at this stage. Similarly, expert systems and ontologies have been proposed for organizing and eliciting user requirements. Natural language processing techniques can be used to understand requirements and research prototypes have been developed for automatic translation of requirements into Object Oriented and formal models as well as detecting ambiguities and incompleteness in requirements. Fuzzy logic can be used in modeling uncertainty due to linguistics in order to aid requirements engineering.

AI techniques have also been advocated for generating test data, devising optimal integration test orders and for fault detection. Data mining techniques have been proposed to help identify related components in the source code in order to aid software maintenance.

Thus, there is significant potential and research on utilizing AI for software development. This potential is being explored by a number of research groups but much of it is distributed in different sources such as international conferences like the World Congress on Computational Intelligence, Software Reliability Engineering, Genetic and Evolutionary Computation, and Neural Information Processing, that each has its own focus and community.

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Hyperledger Fabric Real Interview Questions Read Today

I am practicing Hyperledger. This is one of the top listed blockchains. This architecture follows R3 Corda specifications. Sharing the interview questions with you that I have prepared for my interview.

Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
The Hyperledger now backed by IBM. But, it is still an open source. These interview questions help you to read quickly. The below set of interview questions help you like a tutorial on Hyperledger fabric. Hyperledger Fabric Interview Questions1). What are Nodes?
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2). What are the three different types of Nodes?
- Client Node
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The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
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