Quiz: Vector Databases and Embeddings With ChromaDB

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Embeddings and Vector Databases With ChromaDB. By working through this quiz, you’ll revisit key concepts like vectors, cosine similarity, word and text embeddings, ChromaDB collections, metadata filtering, and retrieval-augmented generation (RAG). The quiz contains 10 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score […]

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Quiz: Altair: Declarative Charts With Python

Interactive Quiz ⋅ 7 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Altair: Declarative Charts With Python. By working through this quiz, you’ll revisit Altair’s core grammar of Data, Mark, and Encode, encoding channels and type shorthands, interactive selections with brushing and linked views, and common limitations to watch out for. The quiz contains 7 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, […]

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Quiz: Explore Your Dataset With pandas

Interactive Quiz ⋅ 10 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Explore Your Dataset With pandas. By working through this quiz, you’ll revisit pandas core data structures, reading CSV files, indexing and filtering data, grouping and aggregating results, understanding dtypes, and combining DataFrames. This quiz helps you apply the core techniques from the course so you can turn a large dataset into clear, reproducible insights. The quiz contains 10 questions and there is no time […]

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Vector Databases and Embeddings With ChromaDB

The era of large language models (LLMs) is here, bringing with it rapidly evolving libraries like ChromaDB that help augment LLM applications. You’ve most likely heard of chatbots like OpenAI’s ChatGPT, and perhaps you’ve even experienced their remarkable ability to reason about natural language processing (NLP) problems. Modern LLMs, while imperfect, can accurately solve a wide range of problems and provide correct answers to many questions. However, due to the limits of their training and the number of text tokens […]

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Quiz: Python Continuous Integration and Deployment Using GitHub Actions

Interactive Quiz ⋅ 11 QuestionsBy Philipp Acsany Share This quiz helps you review the key steps for setting up continuous integration and delivery using GitHub Actions. You’ll practice how to organize workflow files, choose common triggers, and use essential Git and YAML features. Whether you’re just getting started or brushing up, these questions draw directly from Python Continuous Integration and Deployment Using GitHub Actions. Test your understanding before building your next workflow. The quiz contains 11 questions and there is […]

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Quiz: Gemini CLI vs Claude Code: Which to Choose for Python Tasks

Interactive Quiz ⋅ 8 QuestionsBy Joseph Peart Share In this quiz, you’ll test your understanding of Gemini CLI vs Claude Code: Which to Choose for Python Tasks. By working through this quiz, you’ll revisit key differences between Gemini CLI and Claude Code, including installation requirements, model selection, performance benchmarks, and pricing models. The quiz contains 8 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a […]

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How to Add Features to a Python Project With Codex CLI

After reading this guide, you’ll be able to use Codex CLI to add features to a Python project directly from your terminal. Codex CLI is an AI-powered coding assistant that runs inside your terminal. It understands your project structure, reads your files, and proposes multi-file changes using natural language instructions. Instead of copying code from a browser or relying on an IDE plugin, you’ll use Codex CLI to implement a real feature in a multi-file Python project directly from your […]

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Training mRNA Language Models Across 25 Species for $165

By OpenMed, Open-Source Agentic AI for Healthcare & Life Sciences TL;DR: We built an end-to-end protein AI pipeline covering structure prediction, sequence design, and codon optimization. After comparing multiple transformer architectures for codon-level language modeling, CodonRoBERTa-large-v2 emerged as the clear winner with a perplexity of 4.10 and a Spearman CAI correlation of 0.40, significantly outperforming ModernBERT. We then scaled to 25 species, trained 4 production models in 55 GPU-hours, and built a species-conditioned system that no other open-source project offers. […]

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gradio.Server: Any Custom Frontend with Gradio’s Backend

A few weeks ago, we wrote about one-shotting full web apps with gr.HTML: building rich, interactive frontends entirely inside Gradio using custom HTML, CSS, and JavaScript. That unlocked a lot. But what if that’s not enough? What if you want to build with your own frontend framework entirely like React, Svelte, or even plain HTML/JS, while still benefiting from Gradio’s queuing system, API infrastructure, MCP support, and ZeroGPU on Spaces? That’s exactly the problem gradio.Server solves. And it changes what’s […]

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Safetensors is Joining the PyTorch Foundation

Today, we’re announcing that Safetensors has joined the PyTorch Foundation as a foundation-hosted project under the Linux Foundation, alongside DeepSpeed, Helion, Ray, vLLM, and PyTorch itself. How we got here Safetensors started as a Hugging Face project born out of a concrete need: a way to store and share model weights that couldn’t execute arbitrary code. The pickle-based formats that dominated the ecosystem at the time meant that there was a very real risk you’d be running malicious code. While […]

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