TUI-apps
fastapi
Our great sponsors
TUI-apps | fastapi | |
---|---|---|
25 | 465 | |
481 | 70,779 | |
- | - | |
6.7 | 9.8 | |
4 months ago | 2 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TUI-apps
- Show HN: Interactive TUI App for Python Regex Exercises
- Show HN: Interactive exercises for GNU grep, sed and Awk
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Show HN: CLI text processing with GNU sed (eBook)
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 :)
- Show HN: Interactive TUI app for Python regex exercises
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Learn GNU grep and ripgrep with hundreds of examples and exercises
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.
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Good project to make the transition from terminal to GUI?
These days I prefer coding TUI apps using Textual (see my repo https://github.com/learnbyexample/TUI-apps for examples) since I find this framework easier to work with and I don't need full GUI features for my projects.
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What are some good online resources with regex problems (and solutions)?
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.
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TUI app with 100+ interactive Python Regex exercises
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.
- Show HN: Interactive Exercises for Python Regular Expressions
- PyRegexExercises – TUI to practice Python regex
fastapi
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar – powerful, flexible, and highly performant Python ASGI framework
It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if you’re using sync routes.
If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
What are some alternatives?
textual - The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
epy - CLI Ebook (epub2, epub3, fb2, mobi) Reader
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
bubbletea - A powerful little TUI framework 🏗
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
pydantic - Data validation using Python type hints
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
dagster - An orchestration platform for the development, production, and observation of data assets.
Flask - The Python micro framework for building web applications.
streamlit - Streamlit — A faster way to build and share data apps.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.