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! ‌ ‌

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.

‌ 🕖 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.

Even You Can Learn Statistics A Guide for Everyone Who Has Ever Been Afraid Of Statistics One easy step at a time, this book will teach you the key statistical techniques you'll need for finance, quality, marketing, the social sciences, or just about any other field. Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... Use statistics in your everyday work or study Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel Build and interpret statistical charts and tables "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques Perform regression analysis and modeling The easy, practical introduction to statistics–for everyone! Thought you couldn't learn statistics? Think again. You can–and you will! Complementary Web site Downloadable practice files at http://www.ftpress.com/youcanlearnstatistics