Talk Python To Me

Catherine Nelson, a self-employed data scientist and author of 'Software Engineering for Data Scientists,' discusses vital techniques for transitioning from local data science notebooks to robust production workflows. She shares insights on effective coding practices, the challenges of machine learning integration, and organizing Python projects for scalability. Additionally, Catherine highlights the dual nature of notebooks, emphasizing their role in project exploration versus production needs. Her personal journey reflects a rich intersection between software engineering principles and data science.

Christopher Trudeau, a Python educator and author, dives into the impressive capabilities of the Polars library for data science. He discusses essential tools like Patito for data validation and polars_encryption for adding security. The conversation explores Polars' integration with web frameworks like Django and Flask, its lazy evaluation for optimized performance, and innovative features such as DataFramely. Trudeau emphasizes the importance of data integrity and effective error tracking, providing insights for enhancing data workflows.

Bryce Adelstein Lelbach from NVIDIA, a pioneer in programming language evolution, discusses the transformative use of GPUs in modern computing, moving beyond traditional graphics. He highlights advancements in Python SDKs that allow pure Python coding for GPU programming, making it more accessible. The conversation also delves into the evolution of ARM processors, the implications of Python 3.13's removal of the global interpreter lock, and essential algorithms for high-performance tasks, paving the way for more efficient data science and machine learning applications.

Glyph, an independent software developer and founder of the Twisted project, dives into programming your computer with Python. He discusses tools for automating boring tasks and building desktop apps that enhance productivity. The conversation highlights using local computing power over cloud services, the complexity of integrating with Windows' APIs, and valuable Python libraries for macOS. Glyph also emphasizes ethical AI use, open-source contributions, and the importance of community collaboration in developing applications.

Sydney Runkle, an open-source developer at LangChain, dives into the world of agentic AI workflows using LangGraph. She explains how integrating agentic frameworks can supercharge Python applications with large language models (LLMs). The discussion highlights the balance of AI-driven workflows, transparency in software development, and the importance of context and memory in enhancing user interactions. Runkle also shares insights on developing intelligent agents and managing application interrupts, showcasing practical examples that bridge creativity with responsibility in AI.

Charlie Marsh, the founder of Astral, and Carl Meyer, a Python community member and Astral employee, delve into their exciting new type checker, TY. Formerly known as Red-Knot, TY aims to revolutionize type checking in Python with superior usability and performance. They discuss the importance of type annotations for better code clarity and reveal how TY addresses common developer challenges. Additionally, they emphasize ongoing innovations in Python tooling and the need for standardization in the Python type system.

Dave Peck, a freelance software developer, joins Jim Baker, a veteran in Python and Jython, and Paul Everett, head of developer advocacy at JetBrains, to discuss the upcoming T-strings feature in Python. They delve into the evolution of string formatting, highlighting the security improvements of T-strings over f-strings, especially against SQL and HTML injections. The trio explores practical applications in web development, optimized templating, and the potential of T-strings for advanced data science workflows, all while sharing insights on community collaboration in Python's growth.

Join Ines Montani, co-founder of Explosion and spaCy expert, Richard Campbell of .NET Rocks fame, Gina Häußge, maintainer of OctoPrint, and Calvin Hendryx-Parker, a seasoned Pythonista, as they dissect the latest developer trends. They explore the implications of the 2024 Stack Overflow survey, the rise of AI in coding, and the importance of community in learning. Expect insights on navigating the evolving programming landscape, the balance between AI tools and traditional practices, and how unique educational backgrounds shape today's developers.

Reuven Lerner, a freelancer and Python educator, shares insights on the transformative power of PyArrow in data science. He discusses how PyArrow's columnar format speeds up data processing and its compatibility with robust file formats. The conversation also touches on merging data importation techniques in Pandas and PyArrow, the interplay between Pandas and NumPy, and the performance benefits of modern data storage options like Parquet. Reuven emphasizes community engagement and the evolving role of large language models in programming.

Do you or your company need accounting software? Well, there are plenty of SaaS products out there that you can give your data to. but maybe you also really like Django and would rather have a foundation to build your own accounting system exactly as you need for your company or your product. On this episode, we're diving into Django Ledger, created by Miguel Sanda, which can do just that. Episode sponsors Auth0 Talk Python Courses Links from the show Miguel Sanda on Twitter: @elarroba Miguel on Mastodon: @elarroba@fosstodon.org Miguel on GitHub: github.com Django Ledger on Github: github.com Django Ledger Discord: discord.gg Get Started with Django MongoDB Backend: mongodb.com Wagtail CMS: wagtail.org Watch this episode on YouTube: youtube.com Episode #502 deep-dive: talkpython.fm/502 Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy