TUI-apps VS streamlit

Hello!

I am pleased to announce a new version of my "CLI text processing with GNU sed" ebook. This book heavily leans on examples to present features one by one. In addition to sed commands and options, regular expressions are also discussed in detail.

Links:

* PDF/EPUB versions: https://learnbyexample.gumroad.com/l/gnu_sed (free for a few days)

* Web version: https://learnbyexample.github.io/learn_gnused/ (always free)

* Markdown source, example files, etc: https://github.com/learnbyexample/learn_gnused

* Interactive TUI app for exercises: https://github.com/learnbyexample/TUI-apps/blob/main/SedExercises

I would highly appreciate it if you'd let me know how you felt about this book. It could be anything from a simple thank you, pointing out a typo, mistakes in code snippets, which aspects of the book worked for you (or didn't!) and so on. Reader feedback is essential and especially so for self-published authors.

Happy learning :)

I also wrote an interactive TUI app based on some of the exercises from the ebook. Reference solutions are provided for both GNU grep and ripgrep.

This year I started updating my existing books and I'm also creating interactive apps. Here's one for Python regex: https://github.com/learnbyexample/TUI-apps/blob/main/PyRegexExercises. Next is grep.

Having an interactive program that automatically loads questions and checks the solution is wonderful to have while learning a topic. I wrote a TUI app that has beginner to advanced level exercises for Python regular expressions. There are more than 100 exercises covering both the builtin re and third-party regex modules.

My first app with Textual was a board game. Like Tic Tac Toe but make a square on a 4x4 board: https://github.com/learnbyexample/TUI-apps/tree/main/SquareTicTacToe

To make it easier to experiment, I'm currently working on an interactive app. See PyRegexPlayground repo for installation instructions and usage guide. A sample screenshot is shown below:

Python regex playground

I also made an interactive TUI app with 40 cli text processing exercises - I plan to cover all the 200+ exercises sometime later this year.

I wrote an interactive CLI exercises TUI with textual a few weeks back. Having a fixed location to play with commands interactively felt nice and I did wonder if something like could be expanded to make a nice terminal alternative for some tasks.

any clues how does that compare to https://github.com/streamlit/streamlit ?

What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?

How to get real-time AI assistant alerts with changes in Google Docs using Pathway and Streamlit.

In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.

We now have everything we need to communicate with Amazon Bedrock. In the next step, we will create our Streamlit app.

I am pleased to announce that we released v0.0.4 of GPT-Synthesizer a few days ago. This release has a lot of quality-of-life improvements as was requested by some users. The main update is that we now have a web-based GUI using Streamlit.

https://streamlit.io/ https://wave.h2o.ai/ https://reflex.dev/

The 'batteries included' space is definitely a market. For example https://streamlit.io is wildly popular with data teams for quickly making a pre-styled, usable enough web UI to put on top of some model, with controls that are automatically reactive. Those ppl have zero interest in fiddling with modular systems or spending time optimizing and scaling web apps.