Pandas VS Express

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. Instead, we'll focus on what's necessary to make it run serverless.

there is pull request to integrate in both pydantic extra types and into pandas cose [1]

[1]: https://github.com/pandas-dev/pandas/issues/53999

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.

pandas: A library for data analysis in Python

Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.

Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.

So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:

Weirdly most of my time spent with data analysis was in the C layers in pandas.

Explore here.

First, we import express. The Express framework allows us to create routes that will respond to webhook POST requests and serve an HTML file when a GET request is made to the root of the site.

Basic Knowledge of Express

Express.js Documentation

In the JavaScript ecosystem, there are guides for enabling SAML-based enterprise single sign-on in AdonisJS, Express.js, Next.js, Remix, and React with an Express.js backend.

Starting off strong with Express.js, the cool kid on the block for building web apps. It's lightweight, flexible, and doesn't throw a tantrum when you ask it to scale. With Express, you can handle HTTP requests like a pro, play around with middleware, set up routes without breaking a sweat, and render views that make your app look stunning. Big names like Netflix and Uber are already on board, and if it's good enough for them, it's definitely worth a peek.

express - one of the most popular middleware tools, lightweight and easy to learn. docs

Now we can install both Express and Socket.io libraries:

app.listen(3000); ``` Now you can run your server by executing `node index.js`. Your web application will be accessible at http://localhost:3000/, where you'll see "Hello, world!" displayed in your browser. Congratulations! 🎉 You've successfully set up basic routing with Express.js! This guide covered only the tip of the iceberg when it comes to utilizing Express.js features. Explore its extensive documentation (https://expressjs.com/) to discover more possibilities. Remember, with Express.js, you have the power to build efficient and scalable web applications. Happy coding!

Converting a large Express.js application from JavaScript to TypeScript can be a challenging task. For many applications, this represents a significant portion of their technical debt, as the process may span many days, if not months, and new changes are typically not allowed during the conversion.

Nitro is a nice https webserver that you can deploy everywhere. Comparing it to express, it doesn't need weird middlewares for json, it has a simple way to support caching, a file system router, tasks and scheduled tasks that avoid quite a few shell scripts, db:migrations etc, plugins, KV storages, SQL connectors, websockets...