Make your custom Icon Fonts with Icomoon

  • HTML/UI/CSS
  • In the cutting edge web, everyone needs their webpage should reaction speedy and quick. This blog isn’t identified with any web exhibitions, however it will talk one key factor of web execution which is utilizing CSS symbol text styles rather than pictures.

These days utilizing symbol text styles is exceptionally well known and helpful. The motivation behind making a custom symbol text styles library is to improve execution of web and some more which are recorded beneath:-

1.  Icons looks more fresh and sharp
2.  All of the symbols are stacked in single record which diminishes number of server ask
3.  Easy to redo in various resolutions
4.  Its considerably littler and lighter in weight
5.  Completely versatile and independent
6.  No pictures for symbols

You can discover bunches of choices accessible on the web to make your custom symbol textual styles library yet I discovered it’s so natural to do this with Icomoon.

Presently its opportunity to make our custom symbol text styles with Icomoon application.

Go to Icomoon application and you will see a ground sirloin sandwich menu on upper left corner of your screen. Tap on Manage venture > New task (enter your undertaking name) > stack

In the wake of tapping on stack catch, you will see few text style symbols which Icomoon gives us as a matter of course. You can likewise utilize those current textual style symbols in your task.

To make your custom library, you have to tap on “Import Icons” catch (which is set in the best bar) and pick your custom symbols documents which ought to be in “svg” design.

You’ll ready to see your chose textual style symbols in the screen. Presently, you have to choose all the symbol text styles, at that point tap on create textual styles (which is set in the base area of the window).

Presently, you’ll see your symbol textual styles with their classes name and CSS content code. You can revamp them and furthermore, change the name according to your want. Tap on download catch (base of page) to make your library. You will a file record, inside which is envelope containing you textual style in WOFF, TTF, EOT and SVG positions. To utilize it in your task, you have to add these to your archive utilizing @font-confront.

Expectation this makes a difference!

Posted

in

by

kushal

Tags:

Recent Post

  • How to Implement In-Order, Pre-Order, and Post-Order Tree Traversal in Python?

    Tree traversal is an essential operation in many tree-based data structures. In binary trees, the most common traversal methods are in-order traversal, pre-order traversal, and post-order traversal. Understanding these tree traversal techniques is crucial for tasks such as tree searching, tree printing, and more complex operations like tree serialization. In this detailed guide, we will […]

  • Mastering Merge Sort: A Comprehensive Guide to Efficient Sorting

    Are you eager to enhance your coding skills by mastering one of the most efficient sorting algorithms? If so, delve into the world of merge sort in Python. Known for its powerful divide-and-conquer strategy, merge sort is indispensable for efficiently handling large datasets with precision. In this detailed guide, we’ll walk you through the complete […]

  • Optimizing Chatbot Performance: KPIs to Track Chatbot Accuracy

    In today’s digital age, chatbots have become integral to customer service, sales, and user engagement strategies. They offer quick responses, round-the-clock availability, and the ability to handle multiple users simultaneously. However, the effectiveness of a chatbot hinges on its accuracy and conversational abilities. Therefore, it is necessary to ensure your chatbot performs optimally, tracking and […]

  • Reinforcement Learning: From Q-Learning to Deep Q-Networks

    In the ever-evolving field of artificial intelligence (AI), Reinforcement Learning (RL) stands as a pioneering technique enabling agents (entities or software algorithms) to learn from interactions with an environment. Unlike traditional machine learning methods reliant on labeled datasets, RL focuses on an agent’s ability to make decisions through trial and error, aiming to optimize its […]

  • Understanding AI Predictions with LIME and SHAP- Explainable AI Techniques

    As artificial intelligence (AI) systems become increasingly complex and pervasive in decision-making processes, the need for explainability and interpretability in AI models has grown significantly. This blog provides a comprehensive review of two prominent techniques for explainable AI: Local Interpretable Model-agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP). These techniques enhance transparency and accountability by […]

  • Building and Deploying a Custom Machine Learning Model: A Comprehensive Guide

    Machine Learning models are algorithms or computational models that act as powerful tools. Simply put, a Machine Learning model is used to automate repetitive tasks, identify patterns, and derive actionable insights from large datasets. Due to these hyper-advanced capabilities of Machine Learning models, it has been widely adopted by industries such as finance and healthcare.  […]

Click to Copy