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Blockchain: The New Technology of Trust

T hink about a blockchain as a distributed database that maintains a shared list of records. These records are called blocks, and each encrypted block of code contains the history of every block that came before it with timestamped transaction data down to the second. In effect, you know, chaining those blocks together. Hence blockchain Blockchain is the data structure that allows Bitcoin (BTC) and other up-and-coming cryptocurrencies such as Ether (ETH) to thrive through a combination of decentralized encryption, anonymity, immutability, and global scale . It’s the not-so-secret weapon behind the cryptocurrency’s rise, and to explain how blockchain came to be, we have to begin briefly with the legacy of Bitcoin. Welcome to our Blockchain future In the future, viewers will forego paying subscriptions to platforms and can instead give directly to the content providers they love. Creators will therefore receive a larger share of the pie. By allowing the blockchain to use their computer

RegEx in R for Data Science

The ‘regex’ family of languages and commands is used for manipulating text strings. More specifically, regular expressions are typically used for finding specific patterns of characters and replacing them with others. Finding Regex Matches in String Vectors The grep function takes your regex as the first argument, and the input vector as the second argument. If you pass value=FALSE or omit the value parameter then grep returns a new vector with the indexes of the elements in the input vector that could be (partially) matched by the regular expression. If you pass value=TRUE, then grep returns a vector with copies of the actual elements in the input vector that could be (partially) matched. > grep("a+", c("abc", "def", "cba a", "aa"), perl=TRUE, value=FALSE) [1] 1 3 4 > grep("a+", c("abc", "def", "cba a", "aa"), perl=TRUE, value=TRUE) [1] "abc" "cba a"

Data Cleaning in R for Data Science

Data Cleaning in R for Data Science : Removing duplicate values Removing null values Changing column names to readable, understandable, formatted names Removing commas from numeric values i.e. (1,000,657 to 1000657) Converting data types into their appropriate types for analysis The Experiment : The experiment conducted here is retrieved from UCI Machine Learning Repository where a group of 30 volunteers (age bracket of 19–48 years) performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) wearing a Samsung Galaxy S smartphone. The data collected from the embedded accelerometers was divided into testing and trained data. Step 1: Retrieving Data from URL The first step required is to obtain the data. Often, to avoid the headache of manually downloading thousands of files, they are downloaded using small code snippets. Since this was a zipped folder . Data Reference : http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartp

Java Objects & Classes

  Java Objects & Classes : J ava is an Object-Oriented Language. As a language that has the Object-Oriented feature, Java supports the following fundamental concepts − Polymorphism Inheritance Encapsulation Abstraction Classes Objects Instance Method Message Passing Objects in JAVA : Everything in Java is associated with classes and objects, along with its attributes and methods . For example : in real life, a car is an object. The car has attributes, such as weight and color, and methods , such as drive and brake. A Class is like an object constructor, or a “blueprint” for creating objects. Classes in Java A class is a blueprint from which individual objects are created. public class Dog {  String breed;  int age;  String color;  void barking() { …. }  void hungry() { …. }  void sleeping() { …. } } Constructors One of the most important sub topic would be constructors. Every class has a constructor. If we do not explicitly write a constructor for a class, the Java compiler build

JAVA Basics : Introduction

J ava is a high-level programming language originally developed by Sun Microsystems and released in 1995. Java runs on a variety of platforms, such as Windows, Mac OS, and the various versions of UNIX. This tutorial gives a complete understanding of Java. This reference will take you through simple and practical approaches while learning Java Programming language.                                               Why to Learn java Programming? Java is a MUST for students and working professionals to become a great Software Engineer specially when they are working in Software Development Domain. I will list down some of the key advantages of learning Java Programming: Object Oriented  − In Java, everything is an Object. Java can be easily extended since it is based on the Object model. Platform Independent  − Unlike many other programming languages including C and C++, when Java is compiled, it is not compiled into platform specific machine, rather into platform independent byte code. This