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Welcome to issue 655 of Python Weekly. Let's get straight to the links this week.

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Articles, Tutorials and Talks

Parsing Python ASTs 20x Faster with Rust
The post describes how the integration of Rust can significantly speed up the parsing of Python Abstract Syntax Trees (ASTs). By rewriting critical components in Rust, the process can be made up to 20 times faster compared to the original Python implementation, offering substantial performance improvements for developers working with ASTs in Python.

Do These 5 Things if You Don’t Want to Write Crappy Code

In this video, I'll share 5 key things you should do to avoid writing crappy code. These tips, drawn from my own experience, will help you write clean code.

Joining Strings in Python: A "Huh" Moment
The article discusses the performance implications of using generators vs list comprehensions when joining strings with str.join() in Python. Contrary to expectations, using a generator expression with str.join() is slower than a list comprehension because the CPython implementation converts the generator to a list internally before joining the strings, negating the memory efficiency benefits of generators.

Ruff: Internals of a Rust-backed Python linter-formatter - Part 1
Ruff is an extremely fast Python linter written in Rust, deriving its speed from parsing Python code and implementing linting rules natively in Rust rather than Python. The article provides insights into Ruff's internals, including its initial implementation using RustPython's parser, the evolution to a hand-written recursive descent parser, and its caching and parallelization mechanisms.

Semantic search with Django, PostgreSQL, & pgvector

In this talk we will see how to add semantic search functionality to an existing Python-based web project, in particular Django, with data storage on PostgreSQL.

A Beautiful and Timely Python Multi-page Streamlit Application
Showcasing historical summer Olympic data through multiple data visualizations.

React + Django + Ninja: Full-stack app in 15 mins

We'll build a React and Django app fast, using Django Ninja - aiming for under 15 minutes.

Uncensor any LLM with abliteration
In this article, we will explore a technique called "abliteration" that can uncensor any LLM without retraining. This technique effectively removes the model's built-in refusal mechanism, allowing it to respond to all types of prompts.

How Narwhals and scikit-lego came together to achieve dataframe-agnosticism
And how your Python library can become dataframe-agnostic too.

An Empirical Study on the Energy Usage and Performance of Pandas and Polars Data Analysis Python Libraries
The study investigates the energy usage of Pandas and Polars in data analysis tasks to provide insights on energy-efficient software tools. Results show that Polars is more energy-efficient than Pandas, especially with large dataframes, and recommends Polars for energy-efficient and fast data analysis, highlighting the importance of CPU core utilization in library selection.

Boosting AI with Python: Using Click, Jinja2, and GPT Libraries

This talk explores enhancing AI projects using Python with tools like Click CLI for command-line interfaces, Jinja2 for dynamic content generation, and GPT libraries for language model integration. Attendees will see a practical project demonstration and gain skills to build functional AI applications, along with opportunities to connect with other Python developers.

How to Move From pandas to Polars
Considering replacing pandas with Polars? Learn how to make the switch, what to keep in mind, and how PyCharm can help.

Interesting Projects, Tools and Libraries

warp
NVIDIA Warp is a Python framework for writing high-performance simulation and graphics code. Warp takes regular Python functions and JIT compiles them to efficient kernel code that can run on the CPU or GPU.

pdf-to-podcast
Convert any PDF into a podcast episode!

Aurora
Aurora is a static site generator implemented in Python.

Alga
CLI for remote controlling LG webOS TVs.

Amphi
Open-Source Python ETL. Extract, transform and load data with low-code. Generate native Python code you can deploy anywhere.

textual-serve
Serve Textual apps locally.

django-render
Build fast, user-friendly applications with Django and React.

TokenCost
Easy token price estimates for 400+ LLMs.

AI-Math-Notes
AI Math Notes is an interactive drawing application that allows users to draw mathematical equations on a canvas. Once an equation is drawn, the application uses a multimodal LLM to calculate and display the result next to the equals sign.

New Releases

NumPy 2.0.0
NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs.

Upcoming Events and Webinars

PyLadies Amsterdam Meetup June 2024
There will be a talk, Introduction to LLM Agents with LangChain.

PuPPy Meetup June 2024
There will be following talks

Scientific programming techniques for improving trustworthiness and reproducibility applied to nuclear fusion data
Garbage In, Garbage Out: AI without Intentional Data Engineering

PyBerlin 47 Meetup June 2024
There will be following talks

Pickle: everybody hates it, everybody uses it
API Quality Framework

PyData Milano Meetup June 2024
There will be a talk, ScrapeGraphAI: You Only Scrape Once.

PyData Calgary Meetup June 2024
There will be a talk, Exploring the Magic of Command Line Tools and TUI's for Python Developers, Data Science Pros, and DevOps professionals.

PyData Chicago Meetup June 2024
There will be a talk, The Good, the Bad, and the Ugly: Navigating Large Language Models.

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