Do you want to become a front-end developer? Watch this modern HTML and CSS crash course in less than 4.5 hours.
If your new to web development and want to become a good front-end developer, or if you just want to polish your skills, this is the right course for you.
The prospect of learning HTML can seem confusing at first: where to begin, what to learn, the best ways to learn — it can be difficult to get started. In this article, we’ll explore the best ways for learning HTML to assist you on your programming journey.
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html for beginners
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how to create a Sidebar Menu using HTML and CSS only. Previously I have shared a Responsive Navigation Menu Bar using HTML & CSS only, now it’s time to create a Side Navigation Menu Bar that slides from the left or right side.
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Hello Readers, welcome to my other blog, today in this blog I’m going to create a Responsive Footer by using HTML & CSS only. Earlier I have shared How to create a Responsive Navigation Menu and now it’s time to create a footer section.
As you can see on the image which is given on the webpage. There are various important topics there like About us, Our services and subscribes, some social media icons, and a contact section for easy connection. I want to tell you that it is fully responsive. Responsive means this program is fit in all screen devices like tablet, small screen laptop, or mobile devices.
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A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.
This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!
In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2
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