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Array is a container which can hold a fix number of items and these items should be of the same type. Most of the data structures make use of arrays to implement their algorithms. Following are the important terms to understand the concept of Array. Element  − Each item stored in an array is called an element. Index  − Each location of an element in an array has a numerical index, which is used to identify the element. Array Representation Arrays can be declared in various ways in different languages. For illustration, let's take C array declaration. Arrays can be declared in various ways in different languages. For illustration, let's take C array declaration. As per the above illustration, following are the important points to be considered. Index starts with 0. Array length is 10 which means it can store 10 elements. Each element can be accessed via its index. For example, we can fetch an element at index 6 as 9. Basic Operations Following are the basic operations supported

  Overview Data Structure is a systematic way to organize data in order to use it efficiently. Following terms are the foundation terms of a data structure. Interface  − Each data structure has an interface. Interface represents the set of operations that a data structure supports. An interface only provides the list of supported operations, type of parameters they can accept and return type of these operations. Implementation  − Implementation provides the internal representation of a data structure. Implementation also provides the definition of the algorithms used in the operations of the data structure. Characteristics of a Data Structure Correctness  − Data structure implementation should implement its interface correctly. Time Complexity  − Running time or the execution time of operations of data structure must be as small as possible. Space Complexity  − Memory usage of a data structure operation should be as little as possible. Need for Data Structure As applications are gettin

  In the last post, we learned about reshaping the Numpy array. In this post, we will learn about the transpose of nd-array. Another very interesting reshaping method of Numpy is the   Transpose()   method.   Transpose is an very important topic when we talk about matrices and arrays. In linear algebra, the transpose of a matrix is an operator which flips a matrix over its diagonal. i.e.  It takes the input Array and swaps the rows and columns value and vica-versa. After transpose rows becomes columns and columns becomes rows.  Let us understand by code:-   Output:- It will convert rows into columns and columns to rows. I hope you will Like this post :) if you want to learn python then this tutorial will help you alot Python tutorial for beginners in hindi Please Subscribe to our Youtube Channel - Codin India

    Hey Friends, In this post we will learn about data science and career in   data science . Let us start with the definition Data Science Data Science is a field of study that combines domain expertise, programming skills and knowledge of mathematics and statistics to extract meaningful insights from data. Data:-  Data is an unorganized collection of raw materials that are collected through observations.  Data  can be text, numbers, and strings.  How data is collected? Data is collected using cookies, when you fill out any form, when you hit the like button to something and some many others way. How collected Data is useful? Collected Data is useful in many ways. Like If you ever noticed that Youtube, Google, Amazon, and many others store your activity in the form of Data.  EX:-  you If you watched a video then Youtube will recommend you the same concepts. If you search for something on Google, then Google will show you the same stuff, Amazon uses the same algorithm if you search for