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Registration Link: https://www.eventbrite.com/e/turn-your-living-room-into-a-mixed-reality-experience-with-meta-tickets-780767666107?aff=meetup

Are you keen to expand your skillset to include Meta’s Presence Platform features so you can create engaging MR games and experiences? Want to make Mixed Reality games and apps in Unity? Then this open lecture is for you! ​

Lecture Overview & Takeaways

In this session, Meta Engineers will share their perspectives on the most successful MR Games and creator Stephen Rogers will explain how he built the game GorillaZilla (free on App Lab) with Meta’s Presence Platform using:

  • Passthrough
  • Scene Understanding
  • Smart Object Positioning
  • Hand Tracking
  • Controller Support
  • Interactions
  • Movement
  • Body Tracking
  • Eye Tracking
  • Face Tracking
  • Voice and Audio Detection

to create successful, engaging, and immersive MR experiences.

Speakers

Winston Esposito Winston Esposito is a Product Manager at Meta Reality Labs, specializing in XR Tech and Presence Platform. His expertise extends to VR/AR platforms and Experiences. Winston also served as the Product Strategy Lead at Reality Labs (AR/VR). Before this, Winston worked in Strategy & Business Development for Health, focusing on AppleWatch. Additionally, he played a key role in Business Planning and operations for EDU and Carrier at Apple. Winson spent his career in product, strategy and op roles for leading consumer technology companies, mainly focusing on new/emerging products.

Steve Rogers Stephen Rogers is a developer & innovator in the VR/AR space, with a passion for creating fun and exciting XR prototypes. Stephen stands out as a winner of the Meta Presence Platform Hackathon with his title “Submersed” and has earned recognition as one of the Top XR Enablers. As the founder of 4th Wall Breakers, his self-owned video game studio is dedicated to creating unique VR and AR titles that push the cutting edge. He has worked on titles such as Brushwork VR, with over 900k+ users, and Pillow, nominated as one of the Most Innovative Apps on the Meta Quest store. He is currently working on CoasterMania, a Mixed Reality game where you design roller coasters in your room, which has become a viral sensation all over social media. In his spare time, he is devoting himself to crazy MR experiments you may have already heard like "Shared-Wall", Goo in MR, and many more. He is part of the XR Pro Collective and the creator of GorillaZilla, a game for the udemy course by XR Bootcamp in collaboration with Meta engineers.

About XR Bootcamp:

XR Bootcamp is a global online academy, offering skill-to-job beginner and advanced XR development courses. Curricula are developed and taught by award-winning VR, AR, and MR professionals. XR Bootcamp's cutting-edge courses are for designers, game developers, managers, and coders who want to learn how to prototype XR Applications and learn AR, VR, and MR development. XR Bootcamp further supports the XR Creators community with free and open access to knowledge, peer-to-peer learning, and networking opportunities. XR Bootcamp is proud that alumni leave outstanding reviews and work at companies like HP, Autodesk, Accenture, Samsung, Snap, Lockheed Martin, Harvard, USC and Carnegie Mellon University. https://xrbootcamp.com/

Turn Your Living Room into a Mixed Reality Experience

The London Excel Meetup group is coming to Munich, Germany.

There will be fun, drinks, learning, and networking in a very social atmosphere. I cannot wait to meet you all.

Our venue is very close to Central station so for those who can commute to Munich (or live in Munich), this is a great opportunity to attend an in-person event.

Please, please RSVP on this page if you plan to attend as we need to know numbers.

The plan for the evening.

  • 18:30 - doors open. network, chat, settle in.
  • 19:00 - Presentations
  • 21:00 - questions, chat, networking
  • 21:30 - leave venue for further drinks and social chat

This event will have multiple speakers delivering short presentations of 10-15 minutes each.

You will hear from:

  • Alan Murray - "Small productivity hacks"
  • Robert Mundigl - “Table Slicers for Dashboards”
  • Martin Weiss - "AGGREGATE function in Excel"
  • Anders Ebro - Excel VBA for the professional Developer - Enabling Intellisense for custom named ranges - Enabling Intellisense for custom ribbon objects
  • Giles Male - Guidance for the average modeller
  • Sue Bayes - "From phone to Excel to Power BI to phone"
  • Cristian Angyal - "Low Code - High Impact Power Query Tips & Tricks"
  • Traci Williams - "My Love / Hate relationship with Macros"
  • David Benaim - A short comedy set on the topic of Excel
  • Enrico de Crescenzo - "Rules of the conditional formatting"

Alan Murray

  • Founder of Computergaga blog and YouTube channel
  • Author of 'Advanced Excel Formulas' and 'Advanced Excel Success'
  • Microsoft MVP
  • Excel and Power BI trainer
  • Organiser of the 'London Excel Meetup' group

Martin Weiss

• Excel trainer, developer and consultant

• Owner of the Excel blog “Tabellenexperte” (www.tabellenexperte.de)

• Author (“Excel Pivot-Tabellen für Dummies“)

• Microsoft Certified Excel Expert

Robert Mundigl

• Consultant for Data Analysis, Data Visualization, Financial Modelling, Simulation and Optimization

• based in Aschheim (near Munich, Germany)

• Founder and owner of Clear & Simple Analytics GmbH

• Blog: ClearlyandSimply.com since 2009

• Microsoft Excel user since 1990

Sue Bayes

I'm a Microsoft Certified Data Analyst Associate in Microsoft Azure and Microsoft Power BI specialising in Microsoft Power BI, Excel and Paginated Reporting. I develop reports and models using Microsoft Power BI, Microsoft Excel, R and Python and work closely with businesses to enable them to use these tools to provice strategic insight and answer those questions that give value.

Giles Male

Giles is a CIMA qualified modeller, and co-founder of Full Stack Modeller – a training company and global community for finance professionals. Giles is keen runner, with Comrades Ultra in South Africa on the calendar for 2024.

Anders Ebro

Anders Ebro is a software engineer and system designer from Exacto , working out of Copenhagen in Denmark.

Anders has been developing and delivering optimized business applications built with Excel and SQL server for more than a decade. Everything from complex manufacturing forecasting to requirements management tools, or HR bonus payout, Anders has built it.

An Microsoft MVP in Office since 2014, he has gladly shared, presented and helped hundreds of people learning the finer nuances of Office, VBA and SQL.

Cristian Angyal

  • Project Management Professional turned Data Specialist bridging Business and IT
  • Data-driven problem solver with a passion for insights with 20+ years across industries
  • Holds several Microsoft Certifications (MCSE, MCSA, MOS, MCT, etc.)
  • Romania Power BI and Modern Excel User Group organizer
  • Microsoft MVP

Traci Williams

Traci is a trainer and consultant operating her own company Excel Ace. She loves Excel and in her training helps businesses get the most out of their spreadsheets.

Enrico de Crescenzo

Enrico has been a senior finance manager in several companies in Zürich Switzerland for the last decade. He's a lazy runner and an Excel (and Power BI) enthusiast. When he's not busy improving cash flow forecasting systems or implementing KPIs to monitor financial performance, he's probably teaching how to optimize and automate spreadsheets through examples of the fictitious and delicious Pizza BI.

David Benaim

"Excel MVP and amateur comic David Benaim merges cells with exhil-arating laughs. If you like to spreadsheet, come and get sum, or #nah, if it's out of your range."

This is an in-person only event.

Bis bald

Munich Excel Event | Robert Mundigl, Anders Ebro, Sue Bayes, Martin Weiss & More
Martin Mills – guest @ Beggars Group , Jason Joven – host @ Chartmetric , Portia Sabin – Dr. @ Kill Rock Stars

HighlightsFollowing a panel including Beggars Group’s Martin Mills and Kill Rock Star’s Portia Sabin, we’re looking at artists on their rosters and asking, “What makes them two of indie music’s longest lasting labels?”  Mission    Good morning, it’s Jason here at Chartmetric with your 3-minute Data Dump where we upload charts, artists, and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Friday, June 21, 2019.A2IM Indie Week, Day 4Several Indie icons closed out A2IM’s Indie Week in New York City yesterday, two of them being the legendary Martin Mills and Dr. Portia Sabin sharing what’s helped them make Beggars Group and Kill Rock Stars, respectively, some of indie music’s longest lasting labels. Beggars Group is the parent company of 4AD, Rough Trade Records, Matador, XL Recordings and Young Turks.Mills started it in London in 1977, and his many labels have gone on to sign everyone from Adele to Radiohead.While Adele hasn’t released anything for some time, her 25 album, which released physically in November 2015 and digitally in June 2016 via a joint deal between XL Recordings and Sony’s Columbia, “single-handedly revived global album sales”, according to the Guardian.The album’s streaming success is no joke either, as it’s maintained a 70-80 Spotify Popularity Index score over the last three years, and has been included on upwards of 12.5K Spotify playlists.That kind of success under XL’s guidance gave Adele the leverage to be able to sign an enormous and unprecedented £90 million deal with Sony in May 2016.No doubt the industry will be keen to check her next album from one of the industry’s biggest major labels.Now entering the underground, since 2006, Sabin has run Pacific Northwest-based indie label Kill Rock Stars, which has been a home to riot grrrl legends Bikini Kill and Sleater-Kinney, the late singer-songwriter Elliott Smith, and folk rockers the Decemberists.Sabin’s roster is more niche than Mills’, but Kill Rock Stars’ ability to navigate catalog digitization and promotion has allowed their artists to prosper.Smith, for instance, maintains some 1.4M monthly listeners on Spotify, despite the fact that he passed away tragically in 2003. In March 2017, Kill Rock Stars released an expanded edition of his 1997 album Either/Or, which helped increase Smith’s Spotify followers by around 70 percent to 430K and spiked his monthly listenership by an estimated 250K. Whether by keen artist development or catalog revitalization, Beggars Group and Kill Rock Stars have each found a way to not only survive longer than most indie labels, but to also thrive while doing so.OutroThat’s it for Indie Week and your Daily Data Dump for Friday, June 21, 2019. This is Jason from Chartmetric.Free accounts are at chartmetric.comAnd article links and show notes are at: podcast.chartmetric.comHappy Friday, and have a great weekend!

Singer Data Streaming
How Music Charts
Ashish Kumar – author , Martin Czygan – author , Kirthi Raman – author , Phuong Vo.T.H – author

Understand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner. What You Will Learn Get acquainted with NumPy and use arrays and array-oriented computing in data analysis Process and analyze data using the time-series capabilities of Pandas Understand the statistical and mathematical concepts behind predictive analytics algorithms Data visualization with Matplotlib Interactive plotting with NumPy, Scipy, and MKL functions Build financial models using Monte-Carlo simulations Create directed graphs and multi-graphs Advanced visualization with D3 In Detail You will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn. After this, you will move on to a data analytics specialization - predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling. After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examples This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan Learning Predictive Analytics with Python, Ashish Kumar Mastering Python Data Visualization, Kirthi Raman Style and approach The course acts as a step-by-step guide to get you familiar with data analysis and the libraries supported by Python with the help of real-world examples and datasets. It also helps you gain practical insights into predictive modeling by implementing predictive-analytics algorithms on public datasets with Python. The course offers a wealth of practical guidance to help you on this journey to data visualization

software-development programming-languages Python AI/ML Analytics API Data Analytics DataViz IoT Matplotlib NumPy Pandas Scikit-learn SciPy
O'Reilly Data Visualization Books
Martin Fowler – author

This innovative book recognizes the need within the object-oriented community for a book that goes beyond the tools and techniques of the typical methodology book. In Analysis Patterns: Reusable Object Models, Martin Fowler focuses on the end result of object-oriented analysis and design—the models themselves. He shares with you his wealth of object modeling experience and his keen eye for identifying repeating problems and transforming them into reusable models. Analysis Patterns provides a catalogue of patterns that have emerged in a wide range of domains including trading, measurement, accounting and organizational relationships. Recognizing that conceptual patterns cannot exist in isolation, the author also presents a series of "support patterns" that discuss how to turn conceptual models into software that in turn fits into an architecture for a large information system. Included in each pattern is the reasoning behind their design, rules for when they should and should not be used, and tips for implementation. The examples presented in this book comprise a cookbook of useful models and insight into the skill of reuse that will improve analysis, modeling and implementation.

data data-engineering data-models
O'Reilly Data Engineering Books
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