A Web Service is a software application identified by a URI (Uniform Resource Identifier) whose interfaces and binding are capable of being defined, described and discovered by XML artifacts and [that] supports direct interactions with other software applications using XML based messages via Internet-based protocols (HTTP, HTTPS, SMTP).

AOP aims at reducing the amount of "tangled" code by which we mean code that might be implemented in different classes if a OOP language is used but still share important secondary requirements. Such requirements are said to cross-cut the system's basic functionality and are difficult to develop and maintain using non-AOP programming paradigms. Cross-cutting functionality can be thought of as functionalty spanning many objects.

Dependency Inversion

The Dependency Inversion Principle states that:

  1. High level modules should not depend upon low level modules. Both should depend upon abstractions.
  2. Abstractions should not depend upon details. Details should depend upon abstractions.

The design patterns are strategies for solving common object-oriented design problems. Using the design patterns you can make your code more flexible, reusable and maintainable. We must use the design patterns during the analysis and requirement phase of SDLC (Software Development Life Cycle).

Regular expressions are used for defining String patterns that can be used for searching, manipulating and editing a text. These expressions are also known as Regex (short form of Regular expressions).

When we start two or more threads within a program, there may be a situation when multiple threads try to access the same resource and finally they can produce unforeseen result due to concurrency issue. For example if multiple threads try to write within a same file then they may corrupt the data because one of the threads can overrite data or while one thread is opening the same file at the same time another thread might be closing the same file.

List, Set and Map interfaces

  1. JavaScript Object Notation
  2. SQL Injection
  3. dplyr - package for common data manipulation operations in R
  4. Git Commands Cheat Sheet
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