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- Python Weekly (Issue 708 July 24 2025)
Python Weekly (Issue 708 July 24 2025)
Rahul Chaudhary
July 24, 2025
Welcome to issue 708 of Python Weekly. Let's get straight to the links this week.
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Articles, Tutorials and Talks
This tutorial offers a fast-paced introduction to PyTorch, covering key topics like tensors, GPU training, and backpropagation in about one hour. Its goal is to help you quickly start building and training deep neural networks, including large language models.
metap is a new Python meta-programming layer that supports program augmentation, user-defined code generation, and structural introspection. It allows developers to automate coding patterns, extend Python with customizable macros, and have code inspect and enforce its own structure, improving maintainability and correctness. Unlike Python’s built-in tools, metap offers a unified, extensible, and easy-to-use API for advanced compile-time transformations, addressing use cases such as dynamic type checking, logging, and preventing structural code errors.
FastStripe is a simplified Python library that enables developers to start Stripe payments, like one-time purchases, with very little code, producing a checkout URL for fast and secure payment processing. The provided example demonstrates setting up a basic digital product checkout and previewing the resulting payment link.
Philip Zucker introduces a Python toolkit that lets users add verification annotations directly to assembly code using macros, enabling semi-automated proof of correct assembly behavior via pypcode, which supports portable, architecture-agnostic analysis. This approach keeps formal verification practical and accessible for real-world low-level programming.
Adam Johnson demonstrates a Python generator function that recursively traverses Django’s URLResolver structure to enumerate all registered URLPattern objects, including those in nested namespaces. He shows how this can be used for tasks like auditing registered views or writing tests to ensure all class-based views inherit from a specific base class.
Glenn Mossy, an AI Solutions Architect, presents an overview of generative AI and introduces Python AI agents, discussing how these technologies are automating tasks and transforming industries, with specific examples including an advanced calculator agent and a file system organizer. The session aims to be accessible for both beginners and experienced coders, highlighting the ongoing evolution of AI from simple rules-based systems to today’s complex, specialized agents.
Will McGugan announces Toad, a new universal terminal UI for AI coding agents built with Textual, offering a flicker-free and interactive experience compared to existing tools. Toad will be open source, supports any backend language, and uses JSON for communication between frontend and backend.
Corey Schafer explains Python’s type hints, from basic function annotations to advanced features like generics, with practical examples showing their benefits for code clarity, early bug detection, and IDE support. He highlights that type hints are optional and flexible, letting you gradually adopt them in your projects.
Fully Homomorphic Encryption (FHE) allows computation on encrypted data and is becoming ~8× faster each year. It could enable a privacy-by-default internet, powering secure cloud and AI services without exposing user data.
NVIDIA shows how switching from pandas to GPU-accelerated cuDF made slow data workflows run up to 30× faster. Common tasks like time-series analysis and dashboard filtering became near-instant with minimal code changes.
Reusing a Python generator after it’s been consumed yields no results, because generators maintain state and don’t reset once iterated. The fix is straightforward: call the generator function again to produce a fresh iterator before reusing it.<br>
Interesting Projects, Tools, and Libraries
Deep research has broken out as one of the most popular agent applications. This is a simple, configurable, fully open source deep research agent that works across many model providers, search tools, and MCP servers.
How good is your knowledge of Python f-strings?
UQLM is a Python library for Large Language Model (LLM) hallucination detection using state-of-the-art uncertainty quantification techniques.
Claude Code dashboard with usage stats, error analysis, and sharable feature.
A curated list of awesome commands, files, and workflows for Claude Code.
Code and model to control the AH!
Text-audio foundation model from Boson AI.
An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.
Upcoming Events and Webinars
There will be following talks
Creating Your Own Ethical Framework
Live Code, Live Sound: Composing on the Fly with Strudel
Bits and Bytes
There will be a talk, Unleashing Home Assistant's Potential: Building Custom Devices and Python Integrations.
There will be a talk, Wrangling and Sharing High-throughput Genomics Data.
There will be following talks
Looking at the Data with Buckaroo
Building on PyTorch: Techniques for Extensibility and Innovation
There will be following talks
Creator and Maintainer of Narwhals
Python and the Data Platform in 2025
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