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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…

Topologies in Apache Storm the concept you need to know

There are two main reasons why Apache Storm is so popular. The number one is it can connect to many sources. The number two is scalable. The other advantage is fault tolerant. That means, guaranteed data processing.

Apache Storm topologies
The map-reduce jobs process the data analytics in Hadoop. The topology in Storm is the real data processor.
The co-ordination between Nimbus and Supervisor carried by Zookeeper

Topologies in Apache Storm

  1. The jobs in Hadoop are similar to topology. The jobs run as per schedule defined.
  2. In Storm, the topology runs forever.
  3. A topology consists of many worker processes spread across many machines. 
  4. A topology is a pre-defined design to get end product using your data.
  5. A topology comprises of 2 parts. These are Spout and bolts.
  6. The Spout is a funnel for topology
Topology

Two nodes in Storm

  1. Master Node: similar to Hadoop job tracker. It runs on a daemon called Nimbus.
  2. Worker Node: It runs on a daemon called Supervisor. The Supervisor listens to the work assigned to each machine.

Master Node

  • Nimbus is responsible for distributing the code
  • Monitors failures
  • Assign tasks to each machine

Worker Node

  • It listens to the work assigned by Nimbus.
  • It works under the subset of the topology.

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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?
In Hyperledger the communication entities are called Nodes.

2). What are the three different types of Nodes?
- Client Node
- Peer Node
- Order Node
The Client node initiates transactions. The peer node commits the transaction. The order node guarantees the delivery.

3). What is Channel?
A channel in Hyperledger is the subnet of the main blockchain. You c…