Code & Coffee Philly

## ☕ The OG Code&Coffee Meetup

Before the hype. Before the buzzwords. Before “AI-powered everything.”
This is The OG Code&Coffee — the meetup that started it all.
No panels. No pitches. No pressure.
Just good people, good coffee, and focused time to build, learn, and connect.

### What this meetup is

• An open, welcoming space for coders, builders, designers, and curious minds
• A place to work on your own projects, homework, startups, side quests, or experiments
• Organic conversations, spontaneous debugging, and genuine community
• Beginner-friendly, expert-respected, ego-free

### What this meetup is not

• ❌ A lecture
• ❌ A sales event
• ❌ A recruiting trap
• ❌ A “watch one person talk for 90 minutes” situation

### How it works

• Show up
• Grab coffee ☕
• Open your laptop (or notebook, or brain)
• Work at your own pace
• Chat when you want, focus when you need
• Leave having made progress—or at least a new friend

### Who should come

• Software engineers & data folks
• Students & self-learners
• Founders & indie hackers
• Designers, tinkerers, and technologists
• Anyone who likes building things with other humans

Whether this is your first Code&Coffee or you’ve been here since day one—this is the meetup that keeps the spirit alive.
Come for the code.
Stay for the community.
Leave caffeinated ☕🚀

A fun and light code session where tech friends get together in a Game Lounge, and Code! It's a great opportunity to ask questions, share ongoing projects, help each other out, and meet other awesome coders. We're all about the code, we hope to make a space for people who like to build.

Notes to keep in mind:

• BYO Food/Bev is ok, just no alcoholic items.
• The $5.40 tabletop fee will cover use of the Retro Lounge space for 1-4PM and is to be paid individually at the front desk as attendees check-in.
• Power and guest wireless internet access is available, use of extra monitors is possible but not guaranteed. Attendees will ask venue staff for availability/assistance as it's subject to change with weekend events/business volume.

Come out and work, help, or just hang out!

Links:
Site: https://www.codephiladelphia.com/
Donate: https://hcb.hackclub.com/donations/start/code-and-coffee-philadelphia
Merch: https://nol-kky-shop.fourthwall.com/
LinkedIn: https://www.linkedin.com/company/code-coffee-philadelphia
Instagram: https://www.instagram.com/philly_codes/

As data science increasingly takes center stage in applied estimation problems, a critical tension emerges: while data science offers powerful tools and better point estimates, it often does so by sacrificing the rigorous uncertainty quantification that traditional statistical methods provide. This talk explores how data science, particularly modern machine learning techniques like XGBoost, can augment—rather than replace—statistical theory to improve estimation practices.

We will begin by acknowledging a key limitation of data science: its theoretical foundations remain underdeveloped compared to classical statistics. As a result, despite its empirical strengths, data science still relies on statistical theory to ensure principled inference, especially when dealing with uncertainty. Through examples from statistical consulting and simulation-based modeling, we will illustrate why understanding convergence and variability is essential for sound decision-making.

Importantly, we will also examine practical trade-offs. Data science often imposes fewer assumptions than traditional statistical models, allowing greater flexibility and performance. However, this comes at the cost of interpretability and reliable confidence intervals—an issue particularly concerning in high-stakes fields like medicine, where uncertainty matters deeply. Ultimately, this talk advocates for a hybrid approach: using statistical theory as a foundation, and data science as a powerful augmentation. While not all traditional statistical tools remain essential, many do—and knowing when and how to combine them with modern techniques is the path forward.