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  hey friend welcome to our channel. We will learn Data Science with Python in Hindi.  In which we will learn the following courses:- Numy Pandas MatPlotlib Kaggle SciPy Python Data Operations Python Data Cleansing Python Processing CSV Data Python processing JSON Data Python Processing XLS Data Python Relational Databases Python NoSQL Databases Python Data wrangling Python Data Aggregation Python Reading HTML Pages Python Processing Unstructured Data Python chart Properties Python chart styling Python Box Plots Python heat maps Python Box Plots Python Scatter Plots Python Bubble Charts Python 3D charts Python Geographical Data Python Graph Data and many more and all are in hindi. This is channel for Indians by Indians. Kindly Subscribe to our Youtube channel -  Codin India

  In our previous blog we discussed about  HTML Tags . Now we are going to talk about HTML Elements and Attributes. HTML Elements The next thing we’re going to learn about is HTML elements. An element is an opening tag, a closing tag, and all the content that is included between the two tags . Let’s take a look at our previous example of how to use bold tags: <b>This is some text.</b> In this example, <b> is the opening tag, </b> is the closing tag, and “This is some text.” is the content. When we put it all together, we have an element . Elements are like the puzzle pieces of HTML. You take a bunch of elements and fit them together to make a complete picture. In its most basic form, a webpage is simply an HTML document that is filled with complete HTML elements. Sounds simple, doesn’t it? In most cases, elements are simple. The tricky part comes when you start putting elements within elements. Let’s take a look at the very first example we use

  In our previous blog we talked about basics of  HTML . Now we are going to discuss about HTML tags. There are three components that form the basic building blocks of HTML code: tags, elements and attributes. Once you’ve learned the rules for how each of these components function, you should have no trouble writing and editing HTML. HTML Tags You might remember we mentioned that the most notable feature of HTML code was the use of angle brackets. These angle brackets (and the code inside them) are called tags . Tags are used to separate HTML code from regular text. Any text written inside the angle brackets will not be displayed in the browser. The text inside the angle brackets is just used to tell the browser how to display or transform regular text located between the opening tag (also called the start tag) and the closing tag (also called the end tag). Tags usually come in pairs, and the difference between an opening tag and a closing tag is that the first symbol inside

   Hey Friends! In today's post, we will learn how to compare two arrays in Numpy. For comparison in Numpy, we have two methods. == comparison operator or NumPy comparison operator Let us understand both methods one by one. 1. Using == operator We can do element to element-wise comparison using == operator.  Syntax:-   array1 == array2 Let us undestand it by Code:- Explanation:- In the above code, we created two arrays and then compare both of them with == operator. imported NumPy as np arr1 and arr2 are arrays print the result of the comparison OutPut Explanation :- It will compare both arrays element-wise i.e one element from one array to one element of another element and print the output. In the above example, it compared both arrays and gives output element-wise. 2. Using comparison operator We can compare array using a comparison operator also. It will also compare arrays element-wise and provide output as True or False.  We have standard Python comparison operators to compar