Computation

This is Dim Sum Labs' Public HackJam meet. Free! Everyone is welcome to join us. If you are an engineer, designer, programmer, artist, creator, innovator, visionary, entrepreneur, or inventor, join us for an evening of thought-provoking conversations. Or better yet, bring your projects, ask for help, and show them off. This is also your chance to test the space before becoming a member. Members have access to the space and all the [equipment within](https://www.dimsumlabs.com/equipment/), 24/7 for a very reasonable price! For details, [please see our website](https://www.dimsumlabs.com/become-a-member-of-dim-sum-labs/). Calling for show-and-tell: if you want to share your projects on coding, making, art, and tech venture projects, come jam with us on HackJam. We can accommodate and help you promote here. Contact us here or via the means listed below. Being Hong Kong's longest-running Hackerspace (since 2011), we are happy to host you, who may: * Be coming from out-of-town * Be from other Hacker/Maker/co-working spaces * Want to get hands-on and create * Wish to network with high-quality, friendly, like-minded people * Be curious about what all this is about * Just want to have a drink while coding. Can't arrive at the start time? Drop in when you can make it :) For more information, check out our website at [https://www.dimsumlabs.com](https://www.dimsumlabs.com), or chat with us (we are happy to chat with you): * Telegram: https://t.me/dimsumlabs * IRC Chat: #dimsumlabs on https://libera.chat/

Jokes go under the microscope in the Laugh Lab! Comics test their material on you, the audience – laugh, groan or just shout a rating out of 10, it's all good feedback. WARNING: may include workshopping of punchlines. Grab a cocktail, grab a seat, or grab the mic – it’s open to everyone. **📅 Every Tuesday \| 🕗 from 8pm \(happy hour 7–10pm\!\)** 📍 6/F Parekh House, 63 Wyndham Street 雲咸街63號 巴力大廈6樓 **💸 FREE admission \| 🎤 Performer sign\-up onsite** Come early for the drinks, stay for the laughs.

Regular Wednesday Evening Happy Hour! Sharing interesting software development projects! Venue: A Private Lounge, Central, HK (PM to inquire exact venue) LKF Tower, 55 D'Aguilar Street, Central, HK Format: Cash Bar Basis (the event will follow Restriction Order of HK government) Who can join? Welcome experts coming from but not limited to below areas: > > Languages: C/C++/c#/Java/Python/MATLAB/R, etc > > Programming Technique: Full Stack development/ Database/ Game development/ Unreal Engine/ Unity Engine/ Data Mining/ AI/ Machine Learning/ Blockchain/ Crypto/ Algo Trading/ High Frequency Trading/ Scientific Research, etc.

Comedy and Variety performances. Come see the show or sign up and do a set. Hosted by Mentalist and comedian Stuart Palm. Join us!

Fee 7ppl $75 9-11pm court 6 請大家遵守以 1:請大家不要在遊戲其間進行羽毛球技術指導. 2:男與女閒聊時請保持一隻手距離. 3:遊戲已例明 羽毛球等級(ab,li,i 等等), 請按照自己所屬等級參與遊戲. 4:各下參加左的活動有指定場號, 如果自行走向其他埸由我們舉辦的活動的埸地打波, 我地可能會給予警告, 請不要挑戰我們的忍耐力。 5:如果少於48小時內取消出值, 都請交出值應付之金額。 如有違反, 一律blacklist. If you join my game for first time please send me your mobile no. to confirm your spot. Tel: 97843661 Coming Please Whatsapp or message me through meetup as soon as possible if you can't come. ‧ We will be playing 21 points doubles match ‧ Strictly NO BEGINNER ‧ The event is not first come first serve, I will pick suitable players in order to balance the level of the game. So if you are not on the attending list, please don't feel being offended, thanks for understanding ‧ Cancellation policy: Cancellation deadline is 48 hours prior to the start time of the game. Cancellation past the deadline will be marked as no-show.11

HKGHH Event on Tue Jan 20th at Boomberang LKF (Partner's Event) HKGHH Event on Tue Jan 20th 7pm HKT at Boomberang LKF HK Build Your Own Client Base / Resource Networks FOR FREE:) \*Special Drink Discount for all Guests\* \*Extra Special Drink Discount for Lady Guests\* Hope to see you and your friends at 7pm in HKGHH Event:) Luma: https://lu.ma/hkghh Eventbrite: https://hkghhdeal.eventbrite.hk Event Venue: Address: Boomberang & Gram the Gourmet, LG/F, LKF Tower, 55 D'Aguilar Street, Central, HK https://maps.app.goo.gl/6zpArv2mtQobWtc36

Fee: 7people $75/per 9-11pm court#6 請大家遵守以 1:請大家不要在遊戲其間進行羽毛球技術指導. 2:男與女閒聊時請保持一隻手距離. 3:遊戲已例明 羽毛球等級(ab,li,i 等等), 請按照自己所屬等級參與遊戲. 4:各下參加左的活動有指定場號, 如果自行走向其他埸由我們舉辦的活動的埸地打波, 我地可能會給予警告, 請不要挑戰我們的忍耐力。 5:如果少於48小時內取消出值, 都請交出值應付之金額。 如有違反, 一律blacklist. If you join my game for first time please send me your mobile no. to confirm your spot. Tel: 6019 8622 Ice Please Whatsapp or message me through meetup as soon as possible if you can't come. ‧ We will be playing 21 points doubles match ‧ Strictly NO BEGINNER ‧ The event is not first come first serve, I will pick suitable players in order to balance the level of the game. So if you are not on the attending list, please don't feel being offended, thanks for understanding ‧ Cancellation policy: Cancellation deadline is 48 hours prior to the start time of the game. Cancellation past the deadline will be marked as no-show and need to pay the no-show Fee

Feel free to join if you are interested in low level computer stuff. If you have any cool projects or ideas you wanna share, bring them along

Join us for a premier technical gathering where the AWS User Group Hong Kong (AWS UGHK), KSUG.AI (KubeSmart & AI User Group), and the Hong Kong Cloud Developers Association (HKCDA) converge for a deep dive into the future of cloud-native infrastructure. As Kubernetes becomes the bedrock for modern AI/ML workloads, this "Kubernetes Night" is designed to bridge the gap between robust infrastructure and intelligent applications. We will explore real-world orchestration challenges on AWS, the integration of AI within Kubernetes clusters, and the evolving cloud developer ecosystem in Hong Kong. Whether you are a DevOps engineer, a Cloud Architect, or an AI developer, this night is dedicated to sharing "battle-tested" insights and fostering community innovation. Target Audience: DevOps Engineers, SREs, AI Engineers, Cloud Architects, and Cloud Developers. Co-Organized by: AWS UG x KSUG.AI x HKCDA OC Members: Alex Lau (AWS UG Lead), Leonardo LEE (KSUG.AI / HKCDA organizer) — Key Benefits of Attending — 1\. Cross\-Community Synergies — Gain access to three distinct talent pools in one room\. From AWS\-specialized builders and KSUG's Kubernetes/AI experts to the broad developer advocacy of HKCDA\, you will experience a 360\-degree view of the cloud landscape\. 2\. Deep Technical Knowledge \(K8s \+ AI\) — Understand how to optimize Kubernetes for AI/ML workloads\. Learn about managing GPU resources\, scaling inference engines\, and utilizing AWS\-native services like EKS to power the next generation of smart applications\. 3\. Direct Networking with Local Leaders — Connect with the Executive Committees and Organizers of all three groups\. An unparalleled opportunity to find mentors\, career opportunities\, or collaborators for your next big project within the Hong Kong tech ecosystem\. 4\. Stay Ahead of Cloud Trends — Get first\-hand updates on the latest CNCF landscape shifts and AWS innovations\. We move beyond marketing slides to discuss technical implementation\, cost optimization \(FinOps\)\, and security best practices\. 5\. Professional Development & Giveaways — Expect "Quiz Time" sessions with opportunities to win exclusive swags and professional certification discounts \(e\.g\.\, Linux Foundation/CNCF exam vouchers\)\. — Agenda — 18:45 – 19:00 · Registration / Check-in / Setup 19:00 – 19:05 · AWS UG Introduction — Alex Lau 19:05 – 19:15 · KSUG.AI and HKCDA Introduction — Leonardo LEE 19:15 – 19:45 · Vibe-Coding an Internal PaaS on K8s in a Week — Yinyin Chiu (Oursky) 19:45 – 20:00 · Group Photo & Short Break 20:00 – 20:20 · Basic Security & AI Considerations on K8s — Bill Ho (Veeam) 20:20 – 20:50 · Achieving CKA Certification: Key Requirements for Kubernetes Administrators — Simon Sung (Kenfil) 20:50 – 21:10 · Special Guest Sharing 21:10 – 22:00 · Networking 22:00 · End — Topic Details — "Vibe-Coding an Internal PaaS on K8s in a Week" — Yinyin Chiu, Developer, Oursky Limited AI agents turned every non-dev into a shipper of internal tools — but non-devs can't deploy on K8s, and deploying internal tools on public PaaS poses risk. So we gave ourselves 7 days to build SkyRocket: a self-hosted PaaS on our own K8s, gated behind Tailscale. "Achieving CKA Certification" — Simon Sung, Kenfil Simon is a highly accomplished professional with over 24 years of experience in I.T. consulting, recognized for expertise in server-side systems specializing in Kubernetes Cloud Native and VMware virtualization. He is a Linux Foundation Certified Kubernetes Instructor. Topics: 1) Introduction, 2) CKA Exam Structure, 3) What You Actually Need to Know, 4) How to Prepare Smartly, 5) Career Impact. — Venue — AWS Office Hong Kong, 20/F Tower 535, 535 Jaffe Road, Causeway Bay, Hong Kong

Date: 30 May 2026 (Sat) Time: 15:30 - 18:00 \*HKT Coordinator: Ming Tou, Alex Au Light Refreshments will be available! This is a **workshop** for Python Data Cleaning. Please bring along your laptop with **Python3 installed with enough battery**! *Winners will get a small prize as an accomplishment **in the next meetup**.* Please fill in the form for admission: https://forms.gle/MGMGFiMZQGY4CZuP7 ***Mind the Data Gap*** **This model will be delayed due to: missing values, outliers, and delimiter congestion.** In this hands-on HKPUG workshop, we are turning a Python data cleaning exercise into a gamified team sprint. You will work with a **synthetic Hong Kong-inspired transport dataset**. The data is messy on purpose: missing values, weird outliers, inconsistent categories, URL-encoded station names, confusing delimiters, and fields that look useless until you extract the hidden signal. Your mission is simple: **Clean the data. Extract better features. Run the scorer. Beat the model.** You do not need to tune the model. You need to **rescue the data**. ***How the Challenge Works*** Teams will write a Python data transformation script to clean and enrich the dataset. Our scoring pipeline will then: 1. Run your transformation on the training and test data 2. Remove any label / target leakage columns 3. Train a fixed Gradient Boosting model 4. Evaluate the model using proxy metrics such as F1 and ROC-AUC 5. Convert the result into a data cleaning score This is not meant to be a perfect data quality metric. It is an accessible proxy: if your **cleaning** and **feature extraction** help the **model perform better**, your team gets a better score. **Capacity:** 60 (Team of 4) **Venue Info:** City University of Hong Kong, Kowloon Tong (Exact Location TBC) **Rundown:** **30th May** **15:30 – 15:40** Opening Remarks, Team Formation & GitHub Setup **15:40 – 15:55** Briefing: Data Traffic Report, Challenge Rules & Scoring Pipeline **15:55 – 16:20** Demo: Messy Dataset, Data Cleaning Strategy & `transform.py` **16:20 – 17:10** Team Sprint Part 1: Missing Values, Outliers & Category Cleanup **17:10 – 18:00** Team Sprint Part 2: Feature Extraction, Hidden Signals & Scoring Iterations **18:00 -** Networking outside City University **13th June** **\- 23:59** Winner Team Announcement **Audience pre-requisite:** * **Hardware:** **MUST** bring a laptop with Python 3 installed and a code editor (VS Code, PyCharm, etc.). * **Skills:** Recommended having basic to intermediate-level knowledge of Python (handling JSON, using the `requests` library, and writing basic `if/else/while` loops). **How to join?** 1. Fill in the form for admission: https://forms.gle/MGMGFiMZQGY4CZuP7 2. Click "Attend" on this page

When learning statistics, one of the most fundamental yet usually grossed over concepts is that of **variance** (i.e. the square of the standard deviation in normal distribution). As we know, virtually all statistical operations which measure deviations of individual values from the norm involve adding the **SQUARED differences between the two numbers**. However, very few instructors could explain why we have to use squares rather than just the absolute values of the difference (or other even powers such as 4, if the intention is to avoid the negatives). This tutorial shall cover this in a convincing manner. Secondly, while we all know the variance of a SAMPLE is arrived by dividing (n-1) of the sum of squared differences, where n is the number of observations, few can articulate the rationale behind it. This tutorial shall also prove step by step why this is case, so after this you could appreciate the logic behind this ingenious insight instead of just reciting it like a medieval myth.

Sign up at the venue to perform. Performers get one free drink. Free to watch.

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**Latest Dojo Location!** **Knotty Pine Brewing** 1765 W 3rd Ave, Columbus, OH 43212 We're going to try a new dojo location for a few weeks and see how it works Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python, or just hang out. Everyone is welcome from Python beginners to experts. Bringing a laptop is encouraged (we'll have extension cords and power strips). If there's something you want to learn leave a comment on this invite so we can plan ahead. We're looking for speakers for our Monthly Meetups! Fill out the form if you are interested in presenting to the Python Community. https://forms.gle/ehSfUAC2WgR34Crq9

We connect you with up to 30 Men or Women tennis partners close to your PLAYING REGION and skill level. This program is less competitive, no champions crowned, no league standings just dedicated tennis partners who want to meet up with you on the courts. Players will meet up to play a tennis match or just to hit around. Just go through the [Join Page](https://www.tenniscolumbus.com/partner-program) to enter this program. [https://www.tenniscolumbus.com/partner-program](https://www.tenniscolumbus.com/partner-program)

**Important time note:** Please plan on arriving between 5:30 and 6:00 as the elevators lock after 6 and you'll need to message us and we'll need to come get you. The building address is 4450 Bridge Park The entrance is 6620 Mooney St, Suite 400 You will need to scan your ID at the door to get a visitor badge. **Abstract** Like it or not, AI agents are now capable of turning a quickly written paragraph of requirements into a pull request that is ready to be integrated into real-world production applications and it's now our responsibility to make sure AI doesn't go rogue and take down prod - or corrupt our data by misunderstanding the requirements or our existing schemas. In this session we'll explore strategies to protect our codebases through unit and integration testing, documentation, and code review along with additional ways of providing context and guard rails to our AI agents as they carry out the work we've assigned them to do. By the time we're done, you'll have a firm grasp of the problem and understand some helpful options for protecting your codebase from vibe coding mishaps getting YOLOed into prod. **YouTube Link** TBD

Bring your work or your hobby, hang out, and code with us. Follow @buckeyecocoa for more information.

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/

Join us as we get together to see Paul Rudd in the latest comedy-drama-musical from John Carney, POWER BALLAD! The film follows a washed-up wedding singer, a fading boy band singer and a stolen hit song. Here’s a description, trailer and plan for this event: DESCRIPTION: Rick, a washed-up wedding singer, and Danny, a fading boy band star, bond over music and a late-night jam session. When Danny turns Rick's song into a hit, Rick sets out to reclaim the recognition he believes he deserves. Power Ballad is written/directed by John Carney, the master of the modern musical and creative mind behind Once, Begin Again and Sing Street! It stars Paul Rudd, Nick Jonas, Peter McDonald, Marcella Plunkett, Havana Rose Liu and Jack Reynor. BUZZ & ACCLAIM: The film premiered to rave reviews at this year’s Dublin International Film Festival where critics call it “a sure-fired crowd-pleaser” that “just might be the feel-good hit of the year!” Others say, “Paul Rudd delivers a career-best performance in this charmer” that’s both “hilarious and deeply moving!” SUMMER OF ICE CREAM, VOL 2: SHAKE NO. 8! Ranked the #1 Ice Cream Shop in Columbus in 2024, this is the perfect place to kick off our Summer of Ice Cream and grab a sweet treat after the show! Their menu features an array of traditional, specialty and vegan shakes, hot cocoa, and more! You can check out their full menu here: [https://www.shakeno8.com/menu.php](https://www.shakeno8.com/menu.php) PLAN: We’ll plan for a 7pm-ish showing and will meet in the lobby area about 20 minutes before the show. Once showtime is announced, advance ticket purchase is advised! Once you have yours, please list your seat number in the Comments section of this event. We'll head to nearby Shake No. 8 immediately following the show! Should be a fun one, Dan