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8 Popular Encryption methods real Usage

Encryption works as it replaces original data with some special characters and stores the data. You need a private key to decrypt the data. Else it is not possible to understand encrypted data even for hackers.

Private keys are two types. Sender uses one private key and receiver uses one other private key.
I have given in this post about 8 encryption methods.

Flow Diagram Encryption
 Different Encryption Methods Classic CipherRandom Key GenerationRSA TokenHash FunctionsMac value - Message Authentication codeKey HashTLS ProtocolAuthenticated Cipher  1. Classic Cipher The best example is this kind of algorithm was used in world war -II communication machines. 2. Random Key Generations One kind of security. They use an algorithm that sends random numbers. People use that number as a password.
3. RSA Token Every 60 seconds a token is generated. Mostly people use for financial applications. An extra identity mechanism along with user id and password. 4. Hash Functions It assigns a hash va…

The best Multi purpose Language Python, why it is so useful

Python and its powerful uses
#Python and its powerful uses:
I have recently started learning Python. During my learning time my friends have asked since you are interested in analytics why you need to learn Python. I explained below reasons. This is one of the powerful languages after Java.
  • Python is similar to many programming languages that people generally know about: Python is very similar to JavaScript, Ruby, and PHP in many respects. Most programmers have a working knowledge of these programming languages and this makes it easier for programmers to learn Python. The basic features of these languages such as the use of arrays, anonymous functions etc., are also present in Python. 
  • Python has very good machine learning libraries: The variety of machine learning libraries that are available in Python is large. One can choose between Scikitlearn, Keras, Theano and Tensorflow. Many neural network libraries such as Keras, Theano etc., are exclusively available in Python. So, if you want to do cutting edge machine learning work, you must know Python. 
  • Python excels at handling text data: Unlike statistical software environments such as R, Python excels at handling text data. People who know Python can easily mine text corpus for useful insights. Python also provides support for Natural Language Processing through NLTK and sPacy
  • Python makes distributed computing very easy: Apache Spark has a Python API called PySpark. Using this piece of software, one can easily do distributed computing. PySpark has in recent times become the de-facto API for Spark.
  • Extensive support for different data sources: It doesn’t matter if one needs to fetch data from an SQL server, a MongoDB database or JSON data from some web API; Python can easily support all these data sources with a very clean and elegant syntax.
The benefits of Learning Python

Learning Python has many advantages – it gives a user many skills, one can fetch data from different sources, create machine learning models and do distributed computing seamlessly. For any programmer, learning Python will not be a difficult task. One can reap a lot of benefits by devoting time to learning Python.

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Private keys are two types. Sender uses one private key and receiver uses one other private key.
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