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Welcome to issue 646 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

SQLAlchemy: The BEST SQL Database Library in Python

Ever heard of SQLAlchemy and thought it sounded like a medieval potion? Well, it's not! SQLAlchemy combines the robustness of SQL with Python's flexibility, making database management not just easier, but kinda fun too! In this video, I’ll take a closer look at this awesome tool.

The Design Philosophy of Great Tables
The article discusses the importance of well-designed tables for effectively presenting data, drawing inspiration from historical tabular design principles. It highlights the Great Tables library's focus on providing various customization options to help users create visually appealing and structured tables for publications, reports, and other data-driven content

14 LLMs fought 314 Street Fighter matches. Here's who won
Explore a new benchmark for large language models beyond Q&A tasks. Discover how LLMs compete in Street Fighter III using Amazon Bedrock.

Client libraries are better when they have no API
The article discusses the author's approach to building a client library for the csvbase, focusing on leveraging existing file system abstraction libraries like fsspec to provide a seamless user experience without a custom API. It highlights the benefits of this approach, such as enabling integration with a wide range of tools and libraries that already support the fsspec interface.

Building a streaming ChatGPT clone, with Django, Channels, and HTMX

This video walks you through the process of building a ChatGPT clone step-by-step using Django, websockets, and HTMX. Each piece of functionality is broken down into a single commit, then explained and demonstrated. By the end, a fully functional, streaming chatbot app is ready!

How to survive coding interviews with a single line of Python code
The article discusses techniques for solving coding interview questions using concise, single-line Python code.

Cosine Similarity and Text Embeddings In Python with OpenAI
The article discusses how to use cosine similarity to compare text embeddings, which are vector representations of text that capture semantic meaning, in order to determine the similarity between different text inputs. It provides example code for calculating cosine similarity between text embeddings generated using the OpenAI API.

7 examples in 6 minutes using Django GeneratedField

We'll go over 7 short examples in 6 minutes. After looking at them, you'll know how to use Django's GeneratedField - doing calculations automatically with the database quickly and neatly.

Backtesting a Trading Strategy in Python With Datalore and AI Assistant
This article will you walk through the process of backtesting a daily Dow Jones mean reversion strategy using Python in Datalore notebooks. To make it accessible even for those with limited coding experience, the author leverages Datalore's AI Assistant capabilities.

Predicting solar eclipses with Python
The article describes how the author was able to write a Python script to compute the position of the sun and moon and predict the location of total solar eclipses, leveraging the Astropy library and other Python packages, all in around 100 lines of code.

Interesting Projects, Tools and Libraries

AutoCodeRover
A project structure aware autonomous software engineer aiming for autonomous program improvement.

FreeAskInternet
FreeAskInternet is a completely free, private and locally running search aggregator & answer generate using LLM, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to the ChatGPT3.5 LLM and generate the answer based on search results.

Loki
An Open-source Tool for Fact Verification.

schedule_free
Schedule-Free Optimization in PyTorch.

Mantis
Mantis is a security framework that automates the workflow of discovery, reconnaissance, and vulnerability scanning.

open-parse
Improved file parsing for LLM’s.

New Releases

Python in Visual Studio Code – April 2024 Release
This release includes the following announcements:

Improved debug config flow for Flask and Django
Module and import analysis on Jupyter’s Run Dependent Cells with Pylance
Hatch environment discovery
Automatic environment selection for pipenv, pyenv, and Poetry projects
Report Issue command improvements

Python 3.11.9 is now available

Python 3.12.3 and 3.13.0a6 released

Upcoming Events and Webinars

Django London Meetup April 2024
There will be a talk, Data-Oriented Django Deux.

PyLadies London Meetup April 2024
There will be following talks

Semantic Search with Elasticsearch and Python
Recruiting at Elastic - Hints and Tips for Job Seekers
Efficient Python Project Setup: Showing Cookiecutter's Potential within Kedro

Portland Python Meetup April 2024
There will be a talk, Generators and Iterators in Python.

PyData Southampton Meetup April 2024
There will be following talks

Desert Island Docker: Python Edition
Streaming DataFrames: A New Way to Process Streaming Data in Python

PyData Milano Meetup April 2024
There will be following talks

Swing Option Pricing in Energy market: A Dynamic Programming Approach
Explainable AI: opportunities and challenges

PyData Stockholm Meetup April 2024
There will be following talks

Data curation at scale for foundation model pre-training
Sana AI - How to build a consumer-grade enterprise product with Generative AI

PyData Manchester Meetup April 2024
There will be following talks

Tall Tales of Tabulation
The importance of open data and methods in Climate Value Analytic

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