Python Weekly (Issue 646 April 11 2024)

Python Weekly - Issue 646

April 11, 2024

Python Weekly

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

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A weekly newsletter featuring the best hand curated news, articles, tutorials, talks, tools and libraries etc for programmers.

Articles, Tutorials and Talks

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 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

Explore a new benchmark for large language models beyond Q&A tasks. Discover how LLMs compete in Street Fighter III using Amazon Bedrock.

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.

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!

The article discusses techniques for solving coding interview questions using concise, single-line Python code.

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.

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.

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.

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

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

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.

An Open-source Tool for Fact Verification.

Schedule-Free Optimization in PyTorch.

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

Improved file parsing for LLM’s.

New Releases

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

Upcoming Events and Webinars

There will be a talk, Data-Oriented Django Deux.

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 

There will be a talk, Generators and Iterators in Python.

There will be following talks

  • Desert Island Docker: Python Edition

  • Streaming DataFrames: A New Way to Process Streaming Data in Python

There will be following talks

  • Swing Option Pricing in Energy market: A Dynamic Programming Approach

  • Explainable AI: opportunities and challenges

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

There will be following talks

  • Tall Tales of Tabulation

  • The importance of open data and methods in Climate Value Analytic

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