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Python Weekly

Welcome to issue 643 of Python Weekly. Let's get straight to the links this week.

Articles, Tutorials and Talks

How to use PostgreSQL for (military) geoanalytics tasks
This is a detailed guide on utilizing PostgreSQL for military geoanalytics tasks, emphasizing the importance of geospatial data processing in military operations. It covers methods for processing geospatial data, finding nearest objects, distance calculations, using geospatial indexes, determining points within polygons, and geospatial aggregation to enhance analytical capabilities in military contexts.

Every dunder method in Python
An explanation of all of Pytho's 100+ dunder methods and 50+ dunder attributes, including a summary of each one.

Lambda on hard mode: Inside Modal's web infrastructure
This post talks about how Modal handles real-time HTTP requests and WebSockets in serverless functions.

How to Test Asynchronous Code in Python

Testing asynchronous code is tricky but essential for creating smooth, error-free, and reliable applications. So in this video, I'll guide you through the basics of testing asynchronous code effectively.

Introducing Pixi's Multiple Environments
The post introduces Pixi's Multiple Environments feature, allowing users to create tailored environments with specific sets of packages for different tasks like testing, development, or production. This enhancement in Pixi empowers users to customize their environments based on their project requirements, offering flexibility and efficiency in managing dependencies and tasks.

Diffusion models from scratch, from a new theoretical perspective
The article provides insights into interpreting and enhancing diffusion models using the Euclidean distance function, offering a detailed exploration of diffusion models and their applications. It focuses on improving diffusion models through gradient estimation, efficient sampling techniques, and visualizing the impact of momentum terms on text-to-image generation.

Building command-line applications in Python
Dive into a comprehensive guide on implementing command-line applications in Python. This tutorial uses the argparse module to explain how arguments, flags, and options work in a command-line application by building a BMI calculator app and implementing the Linux head command in Python.

Nextjs and Django Airbnb Clone

Learn how to build a fullstack clone of Airbnb using technologies like Nextjs/React and Tailwind in the frontend, and Django with Django rest framework in the backend.

Make your Pandas or Polars DataFrames Interactive with ITables 2.0
ITables, or Interactive Tables, is a MIT-licensed Python package that renders Python DataFrames using the DataTables JavaScript library. ITables 2.0, that I have just released, adds support for the DataTables Extensions. In this post we review the functionalities brought by this release.

Cataloguing my vinyl collection with computer vision
The post details the process of cataloguing a vinyl collection using computer vision, focusing on identifying unique vinyl records through a systematic approach. By leveraging computer vision technology and embedding techniques, the author shares insights into creating a system that accurately identifies and indexes vinyl records for efficient cataloging and organization.

AutoDev: Automated AI-Driven Development
The paper "AutoDev: Automated AI-Driven Development" presents an automated approach to AI-driven development, involving a collaborative effort by multiple authors. It explores the advancements in automated development processes driven by artificial intelligence, showcasing a comprehensive study on AutoDev

Parsing URLs in Python
The article delves into the complexities of parsing URLs in Python, highlighting the challenges and evolution of URL specifications over time. It emphasizes the importance of using the WHATWG URL specification as a reliable guide for handling URLs accurately in Python applications.

Jupyter & IPython terminology explained
Understand the differences between Jupyter Notebook, JupyterLab, IPython, Colab, and other related terms.

Interesting Projects, Tools and Libraries

Grok-1
Grok open release.

Skyvern
Automate browser-based workflows with LLMs and Computer Vision.

MindGraph
Proof of concept prototype for generating and querying against an ever-expanding knowledge graph with AI.

Chronos
Pretrained (Language) Models for Probabilistic Time Series Forecasting.

LaVague
Automate automation with Large Action Model framework.

DarkGPT
DarkGPT is an artificial intelligence assistant based on GPT-4-200K designed to perform queries on leaked databases.

phospho
Text analytics for LLM apps. PostHog for prompts. Extract evaluations, intents and events from text messages. phospho leverages LLM (OpenAI, MistralAI, Ollama, etc.)

LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models.

sqlelf
Explore ELF objects through the power of SQL.

Magix
Supercharge huggingface transformers with model parallelism.

New Releases

Django REST framework 3.15

Python 3.10.14, 3.9.19, and 3.8.19 is now available

Upcoming Events and Webinars

Virtual: PyMunich Meetup March 2024
There will be following talks

An OS journey through Python async and threads
Clean architecture for serverless applications

Virtual: DragonPy Meetup March 2024
There will be following talks

Apache Arrow - Managing bytes for fun and profit
Self-hosting a Data Stack
SQL and Python: The Dynamic Duo of Data Warehousing

San Diego Python Meetup March 2024
There will be following talks

RWKV: The successor of transformers?
Using LangChain to build AI apps
Working with Apache Sedona in Cloudera Data Engineering

PyData Cyprus Meetup March 2024
There will be a talk, A Tour of Large Language Models.

PyData Montreal Meetup March 2024
There will be following talks

How Machine Learning Can Help Game Design
BigCode: Open and Responsible development of Large Language Models for code

PyData Bristol Meetup March 2024
There will be following talks

Silent Intrusion: How LLM Infiltrating Enterprises
Empowering Society with Data Science: A Rapid Deployment Strategy for Everyday Impact

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