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Based on our record, Pandas seems to be a lot more popular than ImageKit.io. While we know about 199 links to Pandas, we've tracked only 13 mentions of ImageKit.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 28 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 1 month ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 3 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 6 months ago
Having the server decide the image format based on the accept header is simpler. Services like https://imagekit.io/ (no affiliation) can do that for you. - Source: Hacker News / about 2 months ago
Hosting wise, I would reccomend pythonanywhere.com, combined with either https://imagekit.io or https://cloudinary.com. Source: about 1 year ago
Use any third-party service to store images like Cloudinary , imagekit etc... And store image URLs in your database. If you have fewer images you keep image URLs directly in your APIs. Source: over 1 year ago
Imagekit.io – Image CDN with automatic optimization, real-time transformation, and storage that you can integrate with existing setup in minutes. Free plan includes up to 20GB bandwidth per month. - Source: dev.to / over 1 year ago
We'll be using Multer to handle file uploads on our server and imagekit will do all our media heavy lifting. I chose these tools because I just found them easier to use and the latter has a very elaborate documentation (and a free tier too 😋). - Source: dev.to / over 1 year ago
NumPy - NumPy is the fundamental package for scientific computing with Python
Cloudinary - Cloudinary is a cloud-based service for hosting videos and images designed specifically with the needs of web and mobile developers in mind.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
imgix - Real-time Image Processing. Resize, crop, and process images on the fly, simply by changing their URLs.
OpenCV - OpenCV is the world's biggest computer vision library
Cloudimage - Cloudimage.io is the easiest way to resize, store, and deliver your images to your customers through a rocket fast CDN.