firebaseui-web VS CPython

One great product that can be used for authentication is Clerk but we currently use the default Firebase authentication system as it works pretty well. Firebase even has a separate package called firebaseui-web that helps one set up Firebase authentication without writing any UI code.

In this example, you can see how flexible and customizable the library is. For full documentation, you can see the github repository page here.

Firebase authentication allows for the complete customization of the entire authentication experience for beginners with speed and ease. Nobody sets out to build a bespoke authentication solution unless your business is identity like Auth0. Firebase authentication provides an open-source user interface (UI) library which streamlines building diverse authentication flows for a great user experience. These flows come with the wisdom of years of UX research optimizing the authentication on Google, Youtube, and Android to get you started.

SvelteKit, Serverless, Backendless.com

SvelteKit[1] is a framework for SvelteJS (like Next.js is a framework for ReactJS). I've tried both Svelte and React. Svelte seems to be more elegant and lets me implement my ideas faster with less code. Svelte is very flexible; SvelteKit adds some opinions on how to do things like routing.

SvelteKit also embraces the serverless paradigm[2] (AKA JAMstack[3]). Although a node.js server is still an option, you can also have pages rendered in serverless functions or pre-rendered at build time. Even static pages can be "hydrated" on the client so they are not totally static. So this results in fine-grained SSR (server-side rendering) at the page level. The two main reasons for SSR are performance (especially on mobile devices) and SEO.

Backendless[4] is a VADP/MBaaS. This platform offers a lot of services, but the main one I'm looking at is authentication/identity. I was looking for an authentication service that supports anonymous guest login, social login, as well as traditional email/password login. The other contenders were Google Firebase (slow, and confusing sign in/sign up flow[5]) and AWS Cognito (too complicated/difficult to use). Auth0 was a contender, but they don't support guest logins.

[1]: https://kit.svelte.dev

[2]: https://www.serverless.com

[3]: https://jamstack.org

[4]: https://backendless.com

[5]: https://github.com/firebase/firebaseui-web/issues/665

They provide a web library too - see https://github.com/firebase/firebaseui-web

Thankfully, Python, the go-to coding language for loads of developers, is here to save the day. It's got some awesome features for diving into text sentiment analysis. With cool libraries like Tweepy, we can sift through X(Twitter) data and snag those interesting tweets about Bitcoin. And then there's TextBlob, a clever tool for understanding the sentiment in text. When it's time to clean up and organize all that data, libraries like pandas and numpy are there to help out. And let's not forget about matplotlib, the master of visualisations that can help us see the trends in sentiment crystal clear. Armed with these tools, developers can really dig deep into social media data and figure out what the general public thinks about Bitcoin.

Web Scraping Tool Development: Develop a Python based web scraping tool capable of extracting data from targeted web pages on Yahoo Finance and presenting the data extracted in a readable format. Our target site relies on AJAX to load and update the data dynamically so we will need a tool that is capable of processing JavaScript.

Dealing with piles of papers or scattered Excel sheets for employee information can be a real headache, right? Well, what if I told you there's a smoother way to handle all that? A system that lets you easily store, update, and find details about your employees in just a few clicks. Sounds neat, doesn't it? In this article, we're going to explore creating an employee management system using Python, Tkinter, and SQLite3.

Python is a versatile tool, and today we're delving into a practical use case that can simplify your daily routines. With the datetime module at your disposal, handling dates and times becomes a breeze, making it perfect for crafting accurate and dynamic product receipts. Whether you're a seasoned Python pro or just starting your coding journey, this article will guide you through each step with ease.

When working in Visual Studio Code (VS Code), create a new Python file for our music player project. It's helpful to have separate files for different parts of your project.

> It provides a meaningful performance improvement for at least one popular platform (realistically, on the order of 5%).

At first it will not provide a large boost, but it will set the foundations for larger gains in subsequent releases. They link a list of some proposed improvements already underway, with improvement estimates, at https://github.com/python/cpython/issues/115802

After that, with the basics of software engineering understood, I would move on to a wider use language, with a bigger ecosystem to employ, most likely Python. This would expose me to large system design / distributed systems and architectural challenges...

Have you ever felt like your photos needed a little extra touch to stand out? Well, get ready because we're about to learn a cool Python trick! We're going to take ordinary photos and turn them into awesome pencil sketches using Python and OpenCV. This will make your pictures look like they were drawn by hand!

Have you ever found yourself in a situation where you needed to convert a bunch of images into a PDF file quickly and efficiently? Imagine the convenience of converting a series of images from your recent trip into a single PDF album with just a few clicks. In this article, we will cover the process of building an Image PDF Converter App using Python. With the help of libraries like tkinter, os, and Python Imaging Library (PIL), we'll walk through the process of creating a powerful tool that can streamline this task for you.