Catherine Nelson

Software Engineering for Data Scientists Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. …...

Hi! You can read the whole book online on the O'Reilly platform - they have a 10 day free trial: www.oreilly.com/library/view...

I really enjoyed this! Thank you @mkennedy.codes for inviting me on the show.

Our conversation included refactoring notebooks, testing notebook-derived code, and changing your mindset when you're moving to production code.

There's also a book giveaway - see the show notes to enter!

YouTube video by PyCon US Going From Notebooks to Scalable Systems - Catherine Nelson

My #PyConUS talk, "Going from Notebooks to Scalable Systems" is up on YouTube - check it out if you'd like to hear about best practices for moving from Jupyter Notebooks to modular, robust Python scripts: www.youtube.com/watch?v=o4hy...

I have been an organizer for them in the past and I am at PyCon! I'll be at the PyLadies lunch today.

#PyConUS is my favorite conference. It's such a positive community. I really enjoyed meeting so many people at my talk and afterwards signing books.

Thank you to @anvil.works for hosting my book signing and to @oreilly.bsky.social for providing copies of "Software Engineering for Data Scientists"!

And if you weren't able to attend my talk, here's the slides and code: github.com/catherinenel...

Book signing - 2pm today at the Anvil booth in the expo hall

That's my post-talk relaxation sorted, thank you!

Going From Notebooks to Scalable Systems - PyCon US 2025 PyCon US 2025

Here's the full talk details: us.pycon.org/2025/schedul...

I'm heading to #PyConUS! I'm excited to present a talk on best practices for moving from Jupyter notebooks to Python scripts that scale.

And thanks to the awesome folks at @oreilly.bsky.social I have 10 copies of "Software Engineering for Data Scientists" to give out. I'll share details at my talk.

So many good books by the authors on this list! Check it out:
go.bsky.app/5TbQa24

Thank you!

Software Engineering for Data Scientists Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. …...

I'd love to be included in this! All the examples in my book are in Python: learning.oreilly.com/library/view...

Time to show off your... place where ideas go before they get to a laptop stickers

Oh yeah! I think my book would be great for this! If you find that there's anything missing, or anything that's not clear, I'd really appreciate hearing about it (hopefully there'll be a 2nd edition sometime!)

I’m spending some time doing consultancy work and side projects while I look for a new full-time position. I’m looking for a Python developer role where ML/data science experience is a plus - if you hear of anything interesting, please send it my way!

Software Engineering for Data Scientists: From Notebooks to Scalable Systems: Nelson, Catherine: 9781098136208: Amazon.com: Books Software Engineering for Data Scientists: From Notebooks to Scalable Systems [Nelson, Catherine] on Amazon.com. *FREE* shipping on qualifying offers. Software Engineering for Data Scientists: From Notebooks to Scalable Systems

My latest book, “Software Engineering for Data Scientists”, was published by @oreilly.bsky.social in April this year. It’s a guide for data scientists looking to improve their coding skills, and it’s deliberately friendly. You can buy a copy here: www.amazon.com/Software-Eng...

Hello Bluesky! A quick introduction/reintroduction and update from me. I’ve been in data science for a while but now I’m exploring the space between data science and software engineering. I’m a Pythonista, author and public speaker.

Thank you for setting this up! I'd also love to be included.

Thank you!

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