<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Arrays on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/arrays/</link><description>Recent content in Arrays on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 16 May 2026 18:42:12 +0100</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/arrays/index.xml" rel="self" type="application/rss+xml"/><item><title>Arrays in Component</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/05-frontend-react/02-module/006-arrays-in-component/</link><pubDate>Tue, 29 Jul 2025 08:40:18 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/05-frontend-react/02-module/006-arrays-in-component/</guid><description>&lt;p class="lead text-primary"&gt;
This document covers how to declare, traverse, and manage arrays in React components, including state management, rendering lists, and using array methods like map, forEach, and splice for dynamic UIs.
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&lt;h2 id="arrays-in-react-components"&gt;Arrays in React Components&lt;/h2&gt;
&lt;p&gt;Arrays are fundamental data structures in JavaScript, used to store multiple values in a single variable. In React, arrays are essential for managing lists of data and building dynamic user interfaces.&lt;/p&gt;
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&lt;h2 id="declaring-and-managing-arrays"&gt;Declaring and Managing Arrays&lt;/h2&gt;
&lt;p&gt;Arrays can be declared using array literal notation:&lt;/p&gt;</description></item><item><title>Two Dimension Numpy</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/006-two-dimension-numpy/</link><pubDate>Thu, 24 Jul 2025 13:30:06 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/006-two-dimension-numpy/</guid><description>&lt;p class="lead text-primary"&gt;
This document covers the creation and manipulation of two-dimensional Numpy arrays, including indexing, slicing, matrix addition, scalar multiplication, Hadamard product, and matrix multiplication. Readers will learn practical techniques for working with 2D data structures in Python.
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&lt;h2 id="introduction-to-2d-numpy-arrays"&gt;Introduction to 2D Numpy Arrays&lt;/h2&gt;
&lt;p&gt;Numpy supports arrays with more than one dimension. Two-dimensional arrays are commonly used to represent matrices and tabular data. Arrays are created by casting nested lists to Numpy arrays.&lt;/p&gt;</description></item><item><title>One Dimensional Numpy</title><link>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/005-numpy/</link><pubDate>Thu, 24 Jul 2025 13:18:28 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/fullstack-content/fullstack-pcert/07-python-datascience/04-module/005-numpy/</guid><description>&lt;p class="lead text-primary"&gt;
Numpy is a foundational Python library for scientific computing, offering efficient array creation, indexing, slicing, and vector operations. This document covers basic usage, attributes, universal functions, and practical examples for data science and mathematical analysis.
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&lt;h2 id="introduction-to-numpy-and-nd-arrays"&gt;Introduction to Numpy and ND Arrays&lt;/h2&gt;
&lt;p&gt;Numpy provides powerful tools for scientific computing, including ND arrays for storing and manipulating data. Arrays are fixed in size and contain elements of the same type, enabling fast and memory-efficient operations.&lt;/p&gt;</description></item><item><title>JavaScript Arrays</title><link>http://ghafoorsblog.com/posts/js/03-arrays/</link><pubDate>Sat, 26 Nov 2016 00:00:00 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/posts/js/03-arrays/</guid><description>&lt;h2 id="arrays"&gt;Arrays&lt;/h2&gt;
&lt;p&gt;Array is a topic of data structure and deals with collecting of data known as data collection. Data can be homogeneous or heterogeneous, arrays usually deal with homogeneous items. The item in an array or a component (element stored) in an array is accessed by its position using index. Thus there is one-to-one relationship between each index and its component. Take an example of student marks achieved in five subjects &lt;code&gt;var result = [70,69,83,93,73]&lt;/code&gt;. Marks are stored in an array which is referenced by the identifier &lt;code&gt;result.&lt;/code&gt; Thus the relationship b/w its index and value can be shown as below.&lt;/p&gt;</description></item></channel></rss>