All about coding

  Introduction Searching for data stored in different data structures is a crucial part of pretty much every single application. There are many different algorithms available to utilize when searching, and each have different implementations and rely on different data structures to get the job done. Being able to choose a specific algorithm for a given task is a key skill for developers and can mean the difference between a fast, reliable and stable application and an application that crumbles from a simple request. Membership Operators Linear Search Binary Search Jump Search Fibonacci Search Exponential Search Interpolation Search Membership Operators Algorithms develop and become optimized over time as a result of constant evolution and the need to find the most efficient solutions for underlying problems in different domains. One of the most common problems in the domain of Computer Science is searching through a collection and determining whether a given object is present in the co

  Python has been an object-oriented language since it existed. Because of this, creating and using classes and objects are downright easy. This chapter helps you become an expert in using Python's object-oriented programming support. If you do not have any previous experience with object-oriented (OO) programming, you may want to consult an introductory course on it or at least a tutorial of some sort so that you have a grasp of the basic concepts. However, here is small introduction of Object-Oriented Programming (OOP) to bring you at speed − Overview of OOP Terminology Class  − A user-defined prototype for an object that defines a set of attributes that characterize any object of the class. The attributes are data members (class variables and instance variables) and methods, accessed via dot notation. Class variable  − A variable that is shared by all instances of a class. Class variables are defined within a class but outside any of the class's methods. Class variables are