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Narwhals: A lightweight compatibility layer between dataframe libraries
2025-07-31 · 20:15
Marco Gorelli
– Creator and Maintainer of Narwhals
@ Narwhals
Narwhals is a lightweight compatibility layer between dataframe libraries which lets your code work seamlessly across Polars, Pandas, PySpark, DuckDB and more. |
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Python and the Data Platform in 2025
2025-07-31 · 19:15
James C Yarrow
– Senior Data Engineer
@ Future Publishing
This will be a walkthrough of the modern data platform, the capabilities and the challenges Python is solving and how other tools like Airflow and DBT play a role in the modern data platform. |
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PyDataMCR & Rust Manchester - June Talks
2024-06-20 · 17:30
PyDataMCR and Rust Manchester are teaming up for our June speakers night THE TALK Polars and Time Series: what it can do, and how to overcome any limitation - Marco Gorelli (he/him) Time series analysis is ubiquitous in applied data science because of the value it delivers. In order to do effective time series analysis, you need to know your tools well. Polars has excellent built-in time series support, and it's also possible to extend it where necessary. We will talk about: - Basic built-in time series operations with Polars (e.g. "what's the average number of sales per month?"). - numba/numpy/scipy interoperability for not-so-basic time series operations (e.g. non-linear interpolation\, or cumulative operations). - Advanced\, custom time series operations\, and how you can implement them as Polars plugins (e.g. business day arithmetic). Q&A developing open source software in the Python ecosystem Location We'll be at Krakenflex Manchester, who are kindly supplying catering. The capacity is limited to 100. EVENT GUIDELINES PyDataMCR is a strictly professional event, as such professional behaviour is expected. PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html Please take a moment to familiarise yourself with its contents. ACCESSIBILITY Under 16s welcome with a responsible guardian. The venue and toilets are accessible with a lift from reception. SPONSORS Thank you to NUMFocus for sponsoring the PyData meetups. Thank you to AutoTrader for sponsoring PyDataMCR. Thank you to Krakenflex for an awesome venue and catering! |
PyDataMCR & Rust Manchester - June Talks
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PyData London - 78th meetup
2023-10-03 · 18:00
Venue: 1 Angel Lane, EC4R 3AB Please note:
Tickets are assigned through a lottery draw about 1 week before the event. If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list. Code of Conduct: This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. As always, there'll be free food & drinks, generously provided by our host, Man Group. Main Talks 1️⃣ Create Self-Serve Data Using This One Weird Trick - Oliver Laslett (Co-Founder & CTO, LightDash) Are you ready to transform how your business interacts with data? This talk will decode the magic of the Semantic Layer within the "modern data stack." This business-friendly veil over your data empowers effortless discovery and access, using everyday language to breach the wall between data sources and business users. The Semantic Layer can fire up your team collaboration, mining insights from data effortlessly, whilst fortifying data security and governance. Learn to unlock the thrill of self-service reporting, boost productivity, and create a climate of data-informed decisions. 2️⃣ Adventures in Unicode: the Python 3's In Python 3 we finally got a Unicode-native Lightning Talks ⚡ ⚡1️⃣ Polars' Craziest Feature: bytecode parsing - Marco Gorelli There's a lot of buzz around Polars, and people usually talk about lazy execution, Rust, or fast-track algorithms. But there's one newish feature which hasn't yet been talked about much: bytecode parsing. When you use apply inefficiently, polars will not only tell you, it'll also advise you on how you could have written your code in a better way. Marco is a volunteer maintainer of polars, and Senior Software Engineer at Quansight Labs. He will give a demo of the feature, and briefly explain how it works. ⚡2️⃣ Set Up Your Own ML Cluster - Marco Ghilardi Cloud computing is great but it also has its downsides such as high costs and vendor lock-in. Why not setting up a "private cloud" at home with an old PC? We could then perform ML experiments, have our data always available, and much more. Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements. |
PyData London - 78th meetup
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