PyData Bristol - 27th Meetup

Join us once again for the next PyData Bristol Meetup!
Welcome to the first meetup of 2024. We’re meeting now in a new venue Amdaris!! Big thank you for hosting our event this time.
Massive thanks to our other sponsor - Adlib for the scrumptious pizza, and thirst-quenching refreshments.
Here an intro from out new hosts!

Hi, We are Amdaris, an Insight company, and at our core we specialise in extending teams with highly skilled software experts. With bespoke Software Development, Product Design, Strategy and Consultation, Managed Services and Data Solutions, we seamlessly integrate into your business and culture, bringing passion, care, and technical proficiency directly to you.

Agenda for the evening:
🚪 6:00 pm - Doors open
🕡 6:30 pm - Talks commence (sharp!)
📚 25-minute talks:

• Talk 1: Silent Intrusion: How LLM Infiltrating Enterprises by Manish Sharma
• Talk 2: Empowering Society with Data Science by David Greenwood

Lightning talks:

• Lightning talk 1:'Your code stinks' - avoiding fighting words by ruff linting by Adam Sardar

📢 Community announcements
🤝 Relaxed networking over beers and soft drinks
Interested in sharing your knowledge or experience at this or a future event? Fill out this form to submit your talk proposal: PyData Bristol Talk Proposal
We look forward to seeing you there for another fantastic evening of Python, Data Science, and camaraderie!
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# Talks

## 1. Silent Intrusion: How LLM Infiltrating Enterprises:

Silent Intrusion: How LLM Infiltrating Enterprises.
This talk tries to cover the how LLM are becoming need of enterprise but really are enterprises ready for it.

## 2. Empowering Society with Data Science: A Rapid Deployment Strategy for Everyday Impact

In a world where data science holds immense potential for societal good, envision harnessing your skills to make a tangible difference. But how do we as individuals, or small teams, seamlessly collect personalised data and deploy algorithms at scale, empowering users to benefit daily?
In this presentation, David unveils a blueprint drawn from his hands-on experience leveraging Python, Flutterflow, and Firebase at hppypeople.com. Discover how these tools enable the swift deployment of data science solutions directly into people’s' pockets, equipping them to deliver their best work, evade burnout, and return home with energy for hobbies, friends and loved ones. By the end of this session, you'll be equipped to take your data science journey one step further towards creating meaningful societal impact.

# Lightning Talks

## 1. 'Your code stinks' - avoiding fighting words by ruff linting

The ruff linter is a "ridiculously fast" tool that enables a team to enshrine group-agreed standards into the fabric of how they work and ratchet up standards.

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🕖 LOGISTICS
Talks kick off at 18:30 sharp; then networking in Left Handed Giant from 20:40.
If you realise you can't make it, please un-RSVP in good time to free up your place for your fellow community members.
Follow @‌pydatabristol (PyData Bristol (@PyDataBristol) / X) for updates on this and future events, as well as news from the global PyData community.
📜 CODE OF CONDUCT
The PyData Code of Conduct governs this meetup (Code of Conduct
). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Bristol organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (NumFOCUS Code of Conduct Report Form).

## Speakers

Manish Sharma
Lead Data Science and ML, Responsible for e2e life cycle of Data Science use cases and pivotal in defining organisation's MLOPs strategy.

David Greenwood
David is the Founder of hppypeople.com- a social enterprise with a mission to end Burnout . He has over a decade of Data Science experience spanning social impact investment, investment management, urban design and HealthTech.

Adam Sardar
Adam has been doing this thing we called data science for some 15 years, working across multiple companies and sectors. In that time he has led teams building data-backed products that use software to explore the market, respond to changing requirements, and release features quickly to deliver value.