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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…

Artificial Intelligence popular real time application areas

The below 3 IT skills you need to begin you career in Artificial intelligence. I am giving here the real time applications where you can apply artificial intelligence.
  • Experience writing SQL queries to interface to a MySQL database. 
  • Experience with R and Perl programming 
  • Experience with C ++, C and Java

Real Time AI Applications

Medicine

Including interpretation of medical images, diagnosis, expert systems to aid GPs, monitoring and control in intensive care units, design of prosthetics, design of drugs. The IntellipathTM pathology diagnosis system has been deployed in hundreds of hospitals worldwide. AI is being increasingly used to provide solutions regarding vector-borne diseases like malaria.

Robotics

Including vision, motor control, learning, planning, linguistic communication, cooperative behaviour . Robots are usually trusted with jobs that are deemed dangerous and sometimes impossible for a human being. Today, many industries use them for jobs that are to be performed with utmost efficiency and without the slightest possible chance of lapse in concentration.

Engineering

Fault diagnosis, intelligent control systems, intelligent manufacturing systems, intelligent design aids, integrated systems for sales, design, production, maintenance, expert configuration tools (e.g. ensuring sales staff don't sell system that won't work). Diagnostic systems based on AI technology are being built into photocopiers, computer operating systems, and office

automation tools to reduce service calls. Stand-alone units are being used to monitor and control operations in factories and office buildings.

Software engineering

work on programme synthesis, verification, debugging, testing and monitoring of software. AI systems configure custom computer, communications, and manufacturing systems, guaranteeing the purchaser maximum efficiency and minimum setup time, while providing the seller with superhuman expertise in tracking the rapid technological evolution of system components and specifications.

Interfaces and "help" systems: as computers are used for more and more applications that involve interaction with human beings, there are ever growing pressures to make the machines easier for non-experts to use.

Information management

This includes the use of AI in data mining, web crawling, email filtering, etc. For example, a company in California, uses AI to help retailers mine for consumer data by sifting through the ages, postcodes and buying habits of people who buy goods over the internet. Google is a set of applied artificial intelligence platforms, which are able to ‘learn’.

Entertainment

Increasingly AI is being used in computer games and in systems for generating and controlling synthetic characters either for textual interaction or generating films with cartoon characters or interactive avatars in virtual worlds.

Architecture, urban design, traffic management

Tools to help solve design problems involving multiple constraints, helping to predict the behaviours of people in new environments, tools to analyse patterns in observed phenomena.

Crime prevention and detection

Detection of forgeries, learning to detect evidence of crooked police officers, software to monitor internet transactions, helping to plan police operations, searching police databases for evidence that crimes are committed by the same person, etc. Intelligence agencies and police departments across the world are highly dependent on artificial intelligence, which is used to detect bombs and explosives and defuse them. 

Forensic analysis of CCTV images using AI vision technology is being developed to recognise criminals. Computer programmes that can recognize fingerprints or voices for use in security systems are being developed.

Commerce

Using software agents of various sorts to provide, search for, analyse or interpret information, take decisions, negotiate with other agents, etc. PEGASUS is a spoken language interface connected to the American Airlines EAASY SABRE reservation system, which allows subscribers to obtain flight information and make flight reservations via a large, on-line, dynamic database, accessed through their personal computer over the telephone. 

The use of automatic scheduling for manufacturing operations is exploding as manufacturers realize that remaining competitive demands an ever more efficient use of resources - companies such as Toyota and Bausch & Lomb use the technology to streamline their production supply chains. Evolutionary computing is used in scheduling to find the most efficient way to roster staff or allocate resources.

Space

Control of space vehicles and autonomous robots too far from earth to be directly manipulated by humans on earth, because of transmission delays. Nasa uses AI to help plan and schedule space shuttle maintenance. 


Military activities

This may be the area in which most funds have been spent. It
is also not easy to learn about the details.

Finance

Credit card providers, telephone companies, mortgage lenders, banks, and governments employ AI systems to detect fraud and expedite financial transactions. The US Internal Revenue Service apply artificial intelligence techniques and other advanced computing skills to solve IRS business problems using neural networks, data mining, encryption, agent-based modeling, expert systems, text generation and natural language, and sophisticated Web applications. 

Artificial Intelligence is heavily used in investing in stocks, organizing operations and managing properties. Fraud detection systems use neural networks to detect stolen credit cards. Financiers use neural networks to predict stock market trends and genetic algorithms to optimize their portfolios.


Telecommunications

language and speech technology systems, automatic speech recognition, speech translation systems, Call Centers and Help Desks often use case-based reasoning to provide instructions on how to deal with common problems.

Marketing

AI is being used to develop more targeted, relevant, and timely marketing programmes to increase customer attrition rates, respond (in most cases proactively) to customer events, and create customer communication strategies that are personalized, relevant and delivered at precisely the right
time for maximum impact.

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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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3). What is Channel?
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