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Python Weekly

Welcome to issue 638 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

Why AI has a Python Problem

Artificial Intelligence (AI) has propelled Python to unprecedented popularity, making it the go-to language for developers and researchers worldwide. Yet, beneath the surface, a significant challenge looms. Let's get into the specific difficulties Python poses for AI's evolution, backed by real-world examples and technical insights.

Meta loves Python

Meta engineers discuss their contributions to Python 3.12, including new features such as custom JIT hooks, Immortal Objects, type system improvements, and faster comprehensions, highlighting their collaboration with the Python community and the company's support for open source

Counting CPU Instructions in Python
Did you know it takes about 17,000 CPU instructions to print("Hello") in Python? And that it takes ~2 billion of them to import seaborn?

Not just NVIDIA: GPU programming that runs everywhere
If you want to run GPU programs in CI, on Macs, and more, wgu-py is a good option.

The Many Ways to Deploy a Model
There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example.

The Math Behind the Adam Optimizer
Why is Adam the most popular optimizer in Deep Learning? Let’s understand it by diving into its math, and recreating the algorithm.

Visualizing Neural Network Internals

Visualizing some of the internals of a neural network during training and inference.

Engineering Practices for LLM Application Development
LLM engineering involves much more than just prompt design or prompt engineering. In this article, we share a set of engineering practices that helped us deliver a prototype LLM application rapidly and reliably in a recent project. We'll share techniques for automated testing and adversarial testing of LLM applications, refactoring, as well as considerations for architecting LLM applications and responsible AI.

Everything You Can Do with Python's textwrap Module
Python has many options for formatting strings and text, including f-strings, format() function, templates and more. There's however one module that few people know about and it's called textwrap. This module is specifically built to help you with line-wrapping, indentation, trimming and more, and in this article we will look at all the things you can use it for.

How to avoid a count query in Django if you can

Handling Tasks in Asyncio Like a Pro

Interesting Projects, Tools and Libraries

modguard
A Python tool to enforce a modular, decoupled package architecture.

metavoice-src
Foundational model for human-like, expressive TTS.

logot
Test whether your code is logging correctly.

TriOTP
The OTP framework for Python Trio.

Toolong
A terminal application to view, tail, merge, and search log files (plus JSONL).

django-queryhunter
Hunt down the lines of your Django application code which are responsible for executing the most queries.

Lag-Llama
Towards Foundation Models for Probabilistic Time Series Forecasting.

HypoFuzz
Open source smart fuzzing for Python's best testing workflow.

mwmbl
An open source, non-profit search engine implemented in Python.

instld
The simplest package management.

Upcoming Events and Webinars

PyLadies Dublin Meetup February 2024
There will be a talk, Where Cybersecurity meets Python.

Spokane Python Meetup February 2024
There will be a talk, how to integrate Rust into your Python workflow by creating Rust bindings using PyO3.

Python Barcelona Meetup February 2024
There will be following talks

Pytest, a short hike.
Analysis of the use and the discourse of "Queering The Map"

PyData Southampton Meetup February 2024
There will be following talks

Combine geospatial data in 3D & beyond with TileDB arrays
Searching for gamma-ray sources in Space with GPU computing

PyData Berlin Meetup February 2024
There will be following talks

Exploiting Data Structure and Geometry with a Diffusion-based Graph Neural Network
Example Sampling Strategies for Large Language Models

PyData Stockholm Meetup February 2024
There will be following talks

Scraping 1.3 million home prices - and getting away with it
BYOSC Build Your Own Scalable Chatbots
Transitmap
DeLight - The Delay Flight Predictor
Where was this image taken? - Visual Geolocalization in the era of Deep Learning.

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Python Weekly - Python Weekly - Issue 638

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