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Complete Beginner’s Guide to Learn HTML and CSS in 2022

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What are HTML and CSS?


HTML and CSS are two significant innovations for making website pages.

What is HTML?


HTML represents Hypertext Markup Language, the language for depicting the design of website pages.

The design of HTML comprises two sections: the head and the body. The head depicts the data expected by the program, while the body contains the particular substance to be portrayed.

What is CSS?


CSS represents Cascading Style Sheets, the language for portraying the introduction of site pages.

CSS innovation is utilized in making a page to accomplish more exact control of the page design, text style, variety, foundation, and different impacts, making the website page more lovely and dynamic.

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What amount of time does it require to learn HTML and CSS?
Learning essential HTML+CSS doesn’t take long, however figuring out how to utilize them well takes some time. The essential labels and names can be figured out in around a couple of hours. Be that as it may, if you need to learn progressed HTML and CSS movements, then, at that point, it will require greater investment.

I sincerely can’t say precisely how long you’ll have to place in, yet the odds are good that you’ll need to continue to learn however long you continue to plan. All things considered, the innovations change and get refreshed throughout the long term.

To dominate HTML and CSS, you need to focus on long-lasting learning since this large number of fields is exceptionally tremendous, the more you attempt the more will you learn. Notwithstanding, to kick you off, look down for assets on fundamental HTML and CSS. We’ve likewise shared a few high-level assets for the people who need really testing material.

Where to become familiar with the essentials of HTML?
W3schools might just be the best site for getting everything rolling with HTML. Its substance covers fundamental HTML, CSS, JavaScript, and Python, and the sky is the limit from there. Every one of the parts is basic, with models and intelligent tests. I’m not overstating – I have been learning HTML for some time, and I need to say that this site is my number one. For fledglings, W3Schools has organized instructional exercises and jungle gyms that offer a respectable growth opportunity. The greatest aspect? Every one of the instructional exercises is free!

HTML.com

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This is a site made explicitly for novices who need to learn HTML. It covers all that you want to be aware of HTML. Follow their bit-by-bit instructional exercises and you will have the HTML information to construct your most memorable site in no time flat – not hours!

The site likewise has a full rundown (with a short portrayal) of each characteristic and tag (in sequential request) utilized in HTML, in addition to the most recent increases in HTML5. You can snap to see the subtleties of every property, code model, and different components.

HTML cheat sheet

HTML (Hypertext Markup Language) has made some amazing progress since Tim Berners-Lee concocted it in 1991. HTML5 is the most recent form upheld by current internet browsers. This HTML cheat sheet has a full rundown of all HTML components, including portrayals, code models, and live sees. Look down to peruse all HTML labels sequentially or by their classification, or download it as a PDF.

Codecademy

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Codecademy is one of the most mind-blowing internet-based courses to learn HTML. We as a whole realize that understanding articles or observing some YouTube recordings isn’t sufficient. We need to rehearse however much we can.

Codecademy’s learning technique is exceptionally fascinating. It doesn’t give customary programming informative recordings, nor does it have any “educators”. All things considered, it cautiously dismantles the first mind-boggling course into extremely basic segments, directing clients through different accommodating tips.

The client is expected to enter the right code on the order line and save it, which finishes the whole growing experience. This web-based course is more reasonable for novices. By dispensing a digit of time for training consistently, you can without much of a stretch increase dominance over your picked programming language.

Best CSS instructional exercise for amateur


Tutorialspoint for CSS

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Tutorialspoint gives all that you want to be familiar with CSS. It covers instructional exercises from essential acquaintances with significant level CSS procedures, as well as full instructional exercises on CSS3. In addition, there are numerous CSS devices and CSS learning assets for your reference. It’s actually an exceptionally thorough asset for learning CSS.

CSStutorial.net
The site comprises three primary parts:

  1. Prologue to CSS

Covers the fundamentals and some slick advancement methods

  1. A total CSS instructional exercise

This instructional exercise is extremely complete and gives you a strong starting point for CSS programming. You can utilize it immediately in your own website architecture work!

  1. Other CSS assets

Articles about CSS website architecture and a functioning CSS discussion where you can get clarification on some pressing issues

In the wake of going through these three segments, you can make an unadulterated CSS page.

End
The above courses cover all the information that fledglings need to learn HTML and CSS.

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Yet, remember that a decent web advancement instrument will further develop your work effectiveness, so ensure you utilize one.

It doesn’t make any difference what industry you are in. To dominate innovation, persistent learning and perseverance is the main course to progress. If you have any desire to be a web front-end engineer, the HTML and CSS instructional exercises and courses I’ve shared will get you where you need to go. I trust they’ll assist you as much as they with having helped me.

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4 Comments

4 Comments

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CODING

Python Coding Challenges for Beginners

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Python-coding-challenges

Python is a widely used high-level programming language that is known for being easy to learn and use. It has a large ecosystem of libraries and tools that make development faster and easier.

Python is commonly used in web development, scientific computing, data analysis, artificial intelligence, and other fields. It has a standard library with features to support these applications and a large community of developers who can help you with your projects.

Python is a general-purpose programming language, so you can use it for any type of application. Some common tasks you can do with Python include web development, data analysis, artificial intelligence, scientific computing, and more.

Basic python coding challenges

Python is a versatile programming language that can be used in various industries. In this series, we will be discussing some of the basic coding challenges that you may face while working with Python. We will also provide solutions to these challenges.

1. Convert radians into degrees

write function in Python that accepts one numeric parameter. This parameter will be the measure of an angle in radians. The function should convert radians into degrees and then return that value. I might find the library to do this for me.

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2. Sort a list

Create a function in Python that accepts two parameters. The first will be a list of numbers. The second parameter will be a string that can be one of the following values: asc, desc, and none.

If the second parameter is “asc,” then the function should return a list with the numbers in ascending order. If it’s “desc,” then the list should be in descending order, and if it’s “none,” it should return the original list unaltered.

3. Convert a decimal number into binary

Write a function in Python that accepts a decimal number and returns the equivalent binary number. To make this simple, the decimal number will always be less than 1,024, so the binary number returned will always be less than ten digits long.

4. Count the vowels in a string

Create a function in Python that accepts a single word and returns the number of vowels in that word. In this function, only a, e, i, o, and u will be counted as vowels — not y.

what problems can python solve?

Python is a versatile programming language with a vast number of applications. It can solve a variety of problems, including data analysis, web development, scientific computing, and more. Here are some of the ways in which Python can help you solve your problems:

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Python can help you analyze data. It has powerful tools for data analysis, including pandas and NumPy. You can use these tools to analyze data in a variety of ways, including plotting data, predicting trends, and many more.

Python ai chat bot Make A Chatbot In Python

will python become obsolete?

As a programmer, you probably use Python every day. But what about the future?

Python is a highly versatile programming language with a robust ecosystem. But it’s not without its challenges.

One of Python’s main competitors is JavaScript. JavaScript is a widely used language that runs on the web, in browsers, and in many other places. It’s also open source, so you can look at the source code to check out how it works.

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Python and JavaScript are both powerful programming languages. But which will survive the long term? It’s hard to say. But Python has a strong community and is used by many major companies.

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CODING

How to Generate a GitHub Personal Access Token

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GitHub Personal Access Token

If you’re a developer, then you know that a GitHub personal access token is a must-have. But did you know that generating a token is actually quite easy? Here’s a quick guide on how to do it.

Introduction

A Personal Access Token is an alternative to your password that can be used to authenticate with GitHub. You can use a Personal Access Token to authenticate to any GitHub API. You can create them from your developer settings page.

Creating a Personal Access Token:

1. On GitHub, navigate to your profile settings.
2. In the user settings sidebar, click on Developer settings.
3. Under “Personal access tokens“, click Generate new token.
4. Type in a token description under “Token description”. For example, Under “Token description”, type in “Personal access token for [Your Name]”.
5. Select the scopes you’d like to grant this token under “Select scopes”. For example, select repo if you want full control of private repositories or select read: org if you want to be able to read organization details but not write any organization information.) 5e59e02b703fbd32328ad0cce66e7465ecdb9b83 is an example of a personal access token. For more information on what Permission levels and Headers are required for each endpoint, check out the sections below or visit our Complete Guide To Personal Access Tokens

What is a GitHub Personal Access Token?

A GitHub Personal Access Token is an alternative to your GitHub password. It can be used to authenticate to GitHub API. You can create a token by going to GitHub settings -> Developer settings -> Personal access tokens -> Generate new token.

Why do you need a GitHub Personal Access Token?

A Personal Access Token is required in order to create a GitHub Action. If you don’t have one, you can create one by following these simple steps:

1. Log into GitHub and click on your profile picture in the top right corner. Then, click on “Settings”.

2. In the settings menu, navigate to the “Developer settings” section and click on “Personal access tokens”.

3. On the next page, click on “Generate new token”.

4. You will then be asked to provide a name for your token as well as select the scopes to that your token will have access. For this tutorial, we will only need the “repo” scope, so go ahead and select that. Then, click on “Generate token”.

5. Copy your newly generated Personal Access Token and store it in a safe place. You will need this token later when we set up our GitHub Action.

How to generate a GitHub Personal Access Token

Creating a personal access token

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To create a personal access token, visit the Applications settings page for your account.
In the “Personal access tokens” section, click Generate a new token.
Give your token a name and specify the permissions you want your token to have. You must have at least the “repo” permission to create or add repositories to GitHub Packages. If you’re unsure which permissions you need, ask your GitHub administrator.
For more information about how to keep your tokens secure, see “Securing your personal access token.”
Click Generate Token.

Complete Beginner’s Guide to Learn HTML and CSS in 2022

What to do with your GitHub Personal Access Token

Your GitHub Personal Access Token is like a password for your GitHub account. It allows you to access your account and its repositories from the command line or from other apps.

If you’re a developer, you may need your Personal Access Token to:

– Automate tasks using the GitHub API
– Connect to GitHub from third-party apps
– Use the Git Large File Storage extension with Git LFS
– Use SSH to connect to GitHub repositories

To generate a Personal Access Token, follow these steps:

1. Log in to your GitHub account.
2. In the top right corner of the page, click your profile photo, then click Settings.3. on the left sidebar, click Developer settings.4. In the left sidebar, click Personal access tokens.5. Click Generate new token.6. Type a token description (for example, “Personal access token for app X”).7. Select the scopes for this token (for example, “repo” or “read: org”).8. Click Generate token at the bottom of the page. (For more information on scopes and permissions, see “Permissions for personal access tokens.”)9. Copy your new token and paste it into the app where you plan to use it. (For security reasons, after you navigate away from this page, you will not be able to see your token again.)

How to keep your GitHub Personal Access Token safe

When you create a new GitHub personal access token, it’s important to keep it safe. If someone gains access to your token, they could use it to do things like reading and writing code or open and merge pull requests in your repositories.

To keep your token safe:

– Store it in a secure location, such as a password manager.
– Do not share it with anyone.
– Do not hardcode it into any scripts or programs.

Frequently Asked Questions about GitHub Personal Access Tokens


What is a GitHub Personal Access Token?

A GitHub Personal Access Token is a token that you generate that allows you to access GitHub without using your password. This is useful if you want to use a tool that doesn’t support Two-Factor Authentication.

How do I generate a GitHub Personal Access Token?

Go to the settings page on GitHub and select “Personal access tokens”. Then, click “Generate New Token”. You will be prompted to enter a description for the token and select the scopes that you want the token to have. Once you have generated the token, copy it and store it securely. DO NOT SHARE YOUR TOKEN WITH ANYONE!

What are the different scopes for a GitHub Personal Access Token?

The different scopes determine what actions the token can perform. The most common scope is “repo”, which allows the token to access repositories. Other scopes include “user”, “gist”, and “notifications”. You can read more about scopes here: https://developer.github.com/v3/oauth/#scopes

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Conclusion

In conclusion, creating a personal access token on GitHub is a simple process that only requires a few steps. By following the instructions above, you can easily create and use personal access to make sure your account is always secure.

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CODING

Python ai chat bot Make A Chatbot In Python

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python ai chat bot

The best strategy to improve and expand our abilities and logical thinking is to practice the Python programming language, which is the most popular and widely used programming language in many businesses.

The Valid solution enables you to have up-to-date knowledge of your inventory and all stock movement over the web using any data collecting technique.

What is an AI chat bot in Python?


Python ai chat bot for chat Enhance customer experience in Python tutorial by optimizing interactions between people and services. At the same time, they give businesses new ways to increase customer engagement and operational effectiveness by bringing down the typical cost of customer assistance.

Python ai chat bot is important.


By facilitating communications between customers and services, chatbot apps enhance customer experience. At the same time, they give businesses new ways to increase customer engagement and operational effectiveness by bringing down the typical cost of customer assistance.

You may learn how to create a chatbot in Python by reading the Chatbot in Python Tutorial, which is written in the Python programming language.

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Bot for chat Python is a piece of intelligent software that can interact with others and carry out duties much like a human. Chatbots are often used for customer service, social media marketing, and instant messaging, according to the Python Project Report.

Deep learning will be used to develop a chatbot in this Python project with source code. The information, which includes categories (intents), patterns, and replies, will be used to train the chatbot. In order to determine which category the user’s message falls under, we employ a specialised recurrent neural network (LSTM), after which we will select a random answer from a list of options.

How can I create a Python chatbot?


We will now use Python to develop the chatbot, but first, let’s look at the file organisation and the kinds of files we’ll be making:

  • Intents.json – The data file which has predefined patterns and responses.
  • train_chatbot.py – In this Python file, we wrote a script to build the model and train our chatbot.
  • Words.pkl – This is a pickle file in which we store the words Python object that contains a list of our vocabulary.
  • Classes.pkl – The classes pickle file contains the list of categories.
  • Chatbot_model.h5 – This is the trained model that contains information about the model and has weights of the neurons.
  • Chatgui.py – This is the Python script in which we implemented GUI for our chatbot. Users can easily interact with the bot.

Here are the 5 steps to create a chatbot in Python :

  1. Import and load the data file
  2. Preprocess data
  3. Create training and testing data
  4. Build the model
  5. Predict the response

conclusion

The free project with source code for this Python chatbot may be downloaded by finding it below and clicking to begin the download.

By the way, if you are new to Python programming and are unsure of which Python IDE to use, I have compiled a list of the Top Python IDEs for Windows, Linux, and Mac OS for your reference.

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