anvil-blog VS CPython

Write an API that gets individual blogs via their id. Submit your answer as a pull request on this repository. I will give you feedback in 1-2 weeks. If you want a faster review, you can tag me on X with the URL to your pull request.

How to download Python: Official Website

If you heavily rely on the Python standard library, then you’re using a lot of Python code that doesn’t call out to C extensions. Peruse the standard library code, if you want to get a sense of it: https://github.com/python/cpython/tree/main/Lib

So you can expect any code that heavily relies on the standard library to be slower than the Rust equivalent.

A purely interpreted language implementation (not JIT’d) like CPython is almost always going to have a 10x-100x slowdown compared to equivalent code in C/C++/Rust/Go or most other compiled/JIT’d languages. So unless your program spends the vast majority of time in C extensions, it will be much slower.

The aim of this article is to guide you step by step in creating an application that interacts with generative AI models. We will start by setting up a Python development environment, following best practices. Then, we will explain the basics of interacting with generative AI model as well as the fundamental principles of the Langchain framework. Once these foundations are laid, we will implement a simple chatbot using the OpenAI API and Langchain. Finally, we will integrate this chatbot into a graphical interface with Streamlit, to offer a smooth and interactive user experience.

Step 1: Before creating/building this project we need to make sure python is installed on your system You can download and install it from the official Python website: Python Downloads. Make sure Python is installed on your system.

I've been tracking this one: https://github.com/python/cpython/issues/109534, but there are multiple others raised in the cpython repo over on Github. Searching for asyncio or sslcontext shows multiple issues raised over the years with no fix in place.

Python: Make sure you have Python 3 installed on your machine. You can download it from Python.org.

You'll also be happy to learn that there's an issue open to deprecate them: https://github.com/python/cpython/issues/78125

It's been open since 2018 though. You might find it worth a read.

Started investigating slow doctest on 3.13+ with Alex Waygood, who on Wednesday narrowed it down to a problem with the new incremental garbage collector, which would go on to be reverted by Friday and result in Python 3.13's Monday release to be postponed and replaced with an extra release candidate. Not ideal, but much better to discover these things before the big release.

HuggingFace transformer enables you to build, train, and deploy machine learning models. HuggingFace is a registry for several models, allowing you to interact with these models through an API available in Python, JavaScript, and Rust. This makes it straightforward for AI engineers to collaborate, share code, analyze visual data, models, and datasets.

Python 3.6.0 or later setup and configured on your system.