Imágenes y compresión

How to parse JSON in VS Code?

When parsing JSON data it is crucial to do it in an organized way to make it easier to understand and use. In this case, VS Code was used to format a JSON derived from an API. Follow these steps to work with JSON data in VS Code:

• Copy and paste the JSON: First, select all the JSON content and copy it. Then, create a new tab in VS Code and paste the content.
• Define the language: Tell VS Code that the language you are using is JSON.
• Format the JSON: With the JSON file already pasted, you can use VS Code's formatting command to display it in a clear and structured way.

By performing this procedure, it is easier to identify key attributes, such as the elements to be rendered in a project, for example, the titles and images of an anime carousel.

What are the particularities of an API in terms of image sizes?

APIs for visual content usually offer different image resolutions. This feature allows developers to choose the size that best suits their project, thus improving efficiency and performance.

• Image sizes: APIs can provide various resolutions, from large images to more conservative options, such as "medium" or "small".
• Optimization and choice: It is essential to use a resolution according to the image container to avoid unnecessary loads and improve user experience.
• Practical example: In the analysis, an image attribute "large" was changed to "medium" to better fit the needs of the project and save storage space.

Here is an example of how to modify the URL of an image in code:

// We changed the attribute value from "large" to "medium"const imageUrl = imageAttributes.medium;

What to consider when optimizing images on a website?

Optimizing images is a fundamental task in web development to ensure fast loading time and good performance.

• Downsizing: Choose image sizes appropriate for each context in your web application. Smaller size usually equals better performance.
• Advanced image formats: WebP is an image format created by Google that could become standard due to its efficiency. Although it is not currently universally supported in browsers, it is advisable to keep an eye on its evolution.
• Load efficiently: Avoid using formats that require polyfilms (patches for compatibility), as this can increase the weight of the page and the number of HTTP requests.

What's next when working with images and web styling?

The next step in website optimization is to integrate everything learned about web fonts, images and SVG vectors to improve overall performance. Continuing to explore current image formats and trends will make you a more efficient and responsive developer for your users' needs.

Ultimately, while learning how to handle each component optimally, the key is to maintain a balance between visual quality and loading efficiency. To further develop your skills, consider integrating different elements and technologies to create smooth and engaging digital experiences, continue to explore and learn about best practices in web development!