- Видео 143
- Просмотров 284 432
Appsilon
Добавлен 15 окт 2015
Innovation for impact
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. With our cross-domain expertise and world-class talent, we drive innovation, advance industry standards, and transform data into impactful solutions for seven out of ten largest biopharma companies, technology innovators such as Elkem, and non-profit organizations.
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. With our cross-domain expertise and world-class talent, we drive innovation, advance industry standards, and transform data into impactful solutions for seven out of ten largest biopharma companies, technology innovators such as Elkem, and non-profit organizations.
Dive into Shiny for Python - ShinyConf 2024 Workshop
Dive into Shiny for Python: a 4-hour workshop tailored for data scientists and Python developers interested in building interactive web dashboards. We cut straight to the chase, showcasing how to craft your first app, navigate Shiny's UI/server logic, and improve workflow with Python’s ecosystem. Perfect for those curious about transitioning from R's Shiny or seeking a robust alternative to Streamlit and Dash.
What to Expect:
- Quick Start: Setup and create your first Shiny app.
- UI/Server Basics: Simplify app development by separating concerns.
- Python’s Toolkit: Boost efficiency with ruff, pyright, and more.
- Framework Face-off: Why Shiny for Python usually wins for data science in python...
What to Expect:
- Quick Start: Setup and create your first Shiny app.
- UI/Server Basics: Simplify app development by separating concerns.
- Python’s Toolkit: Boost efficiency with ruff, pyright, and more.
- Framework Face-off: Why Shiny for Python usually wins for data science in python...
Просмотров: 307
Видео
What is GxP in Clinical Software Development?
Просмотров 201Месяц назад
Navigating GxP standards and the FDA/EMA submission process can be quite challenging. Ensuring safety, quality, and compliance under tight timelines can feel overwhelming at times. In this video, Paweł Przytuła breaks down GxP validation and software best practices, making the process easier to understand. He provides practical insights to help simplify validation and keep your project on track...
Shiny Gatherings x Pharmaverse: Building Clinical Data Analysis Apps with {teal}
Просмотров 717Месяц назад
Learn how to use the {teal} R package to build Shiny applications for clinical data analysis 📊 We’ll cover the {teal} framework, which simplifies the creation of modular and interactive dashboards with its pre-built modules. You’ll also learn how to develop custom modules to tailor your analysis. By the end of the session, you'll have a clear understanding of {teal}'s key features and the skill...
Appsilon Retreat 2024 - Warka, Poland 💙
Просмотров 3342 месяца назад
Take a journey into the heart of Appsilon with our retreat video from Warka! See the bonds, fun, and dedication that make #LifeAtAppsilon so special 💙 Experience the spirit of our team and discover what makes Appsilon unique. Our retreat featured competitions, kayaking, team-building games, parties, and well-deserved relaxation. It’s safe to say we made some great memories 🎉 Want to join us nex...
[Part I] Shiny 101: The Modular App Blueprint - ShinyConf 2024 Workshop
Просмотров 6812 месяца назад
Boost your skills with Veerle Eeftink - van Leemput during Shiny 101 - The Modular App Blueprint workshop. This session is designed to provide you with practical skills for building a strong Shiny foundation 🚀 Part I is available here. To watch the full recording, register for ShinyConf 2024 at go.appsilon.com/replay What to expect: • Reactivity Mastery: Dive into reactivity concepts to bring y...
A Day in the Life of a Delivery Manager with Aga Rasińska
Просмотров 2053 месяца назад
Join us for an insightful interview with Aga Rasińska, where she shares her experiences and insights into the role of a Delivery Manager. Delivery Managers are essential for ensuring projects run smoothly, especially when collaborating with product managers, designers, and other stakeholders. They play a key role in balancing the needs of the business and end-users while managing the day-to-day...
Untangling Biology: The Power of Data Analysis Pipeline with Aga Rasinska
Просмотров 2553 месяца назад
Shiny Gatherings session hosted by Aga Rasińska (Bioinformatician, Delivery Manager at Appsilon). In this recording, we explore data analysis pipelines, advantages and limitations of {targets} and Nextflow in the life sciences, focusing on a real-world example: a single-cell transcriptomics pipeline. The agenda includes: - Introduction to data analysis pipelines (10 min) - Coding session (30 mi...
All You Need to Know About Rhino 1.8 and 1.9 Updates
Просмотров 2644 месяца назад
Are you interested in learning about the origins of Rhino and the latest updates? If so, you're in the right place! In this video, we sit down with Marek Rogala and Kamil Żyła to bring you a look at what Rhino is all about and the exciting recent updates. ● Rhino 1.8: Integrates box.linters, a powerful addition for projects utilizing {box}, offering enhanced capabilities for developers. ● Rhino...
Clinical submissions with admiral: an R-based ADaM solution with Ben Straub
Просмотров 3685 месяцев назад
Shiny Gatherings x Pharmaverse session hosted by Ben Straub is here! This recording will provide an overview of admiral, an R-based solution for creating ADaM datasets. The agenda includes: - Introduction to admiral (10 min): Get acquainted with the features and capabilities of admiral. - Coding session (30 min): A hands-on coding demonstration showcasing templates with different data sets - Q&...
Open Source Spotlight: Tapyr - Shiny for Python Framework
Просмотров 3055 месяцев назад
Join us for the Open Source Spotlight session as we explore #Tapyr: the Shiny for Python framework that brings Rhino-like capabilities from the R world, and more to the Shiny for Python ecosystem. Its goal? Making it easier to develop enterprise-ready applications 🌟 Discover the key features that set Tapyr apart, from harnessing the power of Python Tools to conducting comprehensive testing with...
Exploring "Think Again" and "Thinking Fast and Slow" with Ryszard Szymański
Просмотров 2578 месяцев назад
Ever wondered how the books you read might influence your life? It's a question we're delving into in our new video, which covers two great titles: 'Think Again' and 'Thinking, Fast and Slow'. Join Gift (Gigi) Kenneth and Ryszard Szymański for an insightful interview session where you'll discover summaries of these books, meaningful connections, and even recommendations for books that might be ...
Machine Made Human Motion - using ML to generate animations | Appsilon x Bones Studio
Просмотров 2528 месяцев назад
Curious about the potential of using machine learning to generate animations? Explore the recording from the Data Science Summit presentation by Piotr (Pasza) Storożenko, our Innovation Lead/ML Engineer, and Marcin Panek, CTO at Bones Studio. The session covers a project that involved training a machine learning model to generate animations using the RigPlay dataset. Traditional methods of crea...
R Shiny in Life Sciences - Top 7 Dashboard Examples by Ismael Rodriguez
Просмотров 7518 месяцев назад
Today, we're exploring the world of R Shiny in Life Sciences with Ismael Rodriguez. We'll be taking a look at seven notable examples of #RShiny dashboards that are making a significant impact in the field. Whether you're involved in life sciences, data analysis, or simply intrigued by the intersection of technology and biology, this video is for you! Explore the top 7 R Shiny dashboards example...
Shiny Gathering #11 - Open Source Spotlight: New developments in Rhino
Просмотров 4298 месяцев назад
Let’s explore the latest updates in Rhino, a game-changer framework in Shiny app development. Our #ShinyGathering, in the open source spotlight format, is all about sharing practical insights and hands-on knowledge about these new developments 🚀 Rhino is a powerful tool designed to expedite the creation of high-quality #Shiny applications. In this session, you'll learn about the latest features...
Detecting protein crystallization - Appsilon at Data Science Summit
Просмотров 2148 месяцев назад
Interested in the potential of using machine learning to identify protein crystals? Check out the recording from the Data Science Summit presentation by Jędrzej Świeżewski, our Head of AI. The session delves into machine learning models, showcasing their effectiveness in identifying protein crystals and revolutionizing drug discovery. Gain valuable insights into the pivotal role ML models play ...
CSV vs. Parquet - advantages, drawbacks and differences
Просмотров 5039 месяцев назад
CSV vs. Parquet - advantages, drawbacks and differences
Open Source Spotlight: Navigating shiny.telemetry for User Tracking in Shiny Apps
Просмотров 4539 месяцев назад
Open Source Spotlight: Navigating shiny.telemetry for User Tracking in Shiny Apps
DepMap Dashboard Exploration - R Shiny App
Просмотров 62910 месяцев назад
DepMap Dashboard Exploration - R Shiny App
How machine learning models can revolutionize data analysis in healthcare: Boston Medical Center POC
Просмотров 51910 месяцев назад
How machine learning models can revolutionize data analysis in healthcare: Boston Medical Center POC
Appsilon Retreat 2023 - Mikołajki, Poland 🇵🇱
Просмотров 312Год назад
Appsilon Retreat 2023 - Mikołajki, Poland 🇵🇱
R Shiny App for Marine Ecosystem Monitoring in Micronesia | Data4Good, Data Science, Climate Change
Просмотров 643Год назад
R Shiny App for Marine Ecosystem Monitoring in Micronesia | Data4Good, Data Science, Climate Change
Keynote, Winston Chang: Lessons and opportunities with Shiny for Python
Просмотров 783Год назад
Keynote, Winston Chang: Lessons and opportunities with Shiny for Python
Ken Koon Wong: A Medical Educato(R)’s Journey to Data Science
Просмотров 251Год назад
Ken Koon Wong: A Medical Educato(R)’s Journey to Data Science
Douglas Mesquita: Measuring performance improvement in Shiny apps
Просмотров 392Год назад
Douglas Mesquita: Measuring performance improvement in Shiny apps
Veerle van Leemput: Say goodbye to unnecessary waiting: mastering asynchronous programming in Shiny
Просмотров 1,4 тыс.Год назад
Veerle van Leemput: Say goodbye to unnecessary waiting: mastering asynchronous programming in Shiny
Jacqueline Nolis: The Shiny Apps I Didn’t Launch
Просмотров 491Год назад
Jacqueline Nolis: The Shiny Apps I Didn’t Launch
Eric Nantz: The Journey to a Successful Shiny Application Submission to FDA
Просмотров 512Год назад
Eric Nantz: The Journey to a Successful Shiny Application Submission to FDA
ShinyConf Roundtable: Empowering diversity in R (Shiny)
Просмотров 201Год назад
ShinyConf Roundtable: Empowering diversity in R (Shiny)
Yuri Pribish: New approach of visualisation with set of query in human readable way
Просмотров 382Год назад
Yuri Pribish: New approach of visualisation with set of query in human readable way
Carson Sievert: Towards the next generation of Shiny UI
Просмотров 3,3 тыс.Год назад
Carson Sievert: Towards the next generation of Shiny UI
10:34 first use of server side, no reactivity what so ever. Thats a shame
I feel using dplyr$filter or other packages in similar way is very confusing. Are there many people really use this? Can someone tell me the advantages of this?
Thanks for sharing this video.
Such a nice content could you please add Part two of this video😐
To watch the full recording, register for ShinyConf 2024 at go.appsilon.com/replay
I thought you were going to explain moduleServer. The title of thr video is misleading
To watch the full recording of the workshop, including the part about modules, please register for access at go.appsilon.com/replay
Wonderful presentation Veerle. Where can I access those sample datasets? Thank you
Awesome content!!! Help solve my issue.
Dream company to work for? Sounds like a good place to work for whom loves R and python.
Awesome introduction to Rhino, thank you Kamil and Marek 🚀
Thanks for the video!
Aga is a great Delivery Manager. Congratulations Shanky, great great interview.
Hey, Shanky here 👋. Great interview.👏 Aga explaining her busy day with so much joy and excitement is really fascinating and inspiring.❤
Nice!
Very nice explanation, on point and easy to understand for us begginers.
One year after this presentation; has *bslib* functionality been ported yet to Python's shiny? I have this R shiny app I want to port to Python for hosting purposes and it relies heavily on bslib's cards.
This is awsome.
it would be nice to have similar informations and excamples for working with dataframes, databases, loading data into a rhino app and so on....
Many thanks Ben for this great demo! I will inform all of my students to watch this video.
Thanks for sharing this useful R Shiny video!
I have the same question, could you share how to do that? thanks a lot
This was fantastic. Thanks!
I found this very informative. The presenter is a strong leader in the Shiny innovation and adoption space. Kudos to her.
Amazing video and implementation, thank you for sharing! Shoutout to Dr. Swiezwski <3
Love the live reloading, i hacked a way around it in the past, but now i can remove my hack and just use the feature, much appreciated , the react stuff is also cool
👌🙏🤝
Rhino seems to be very powerful, but at the same time, very complicated as compared to golem. Live reload is a killer feature though.
Man, just do a small application once and you see that all “complicated part” goes away
@@andryaswaurzenczak4042 That's right. But there are things in Rhino that seem to be more work than necessary for relatively simple apps. For example, building js files as shown in this demo. I can understand that it is probably great for complicated apps. But to me, as someone with no conventional training in web development, it seems that I need to know other stuff before using Rhino.
Inspiring example of practical science, thanks! 🦌
excellent
is there a resource related to Rhino and Docker / any containerization platform
Unfortunately, we don't have this exact resource, but Docker is used in this guide. So, you can find a Dockerfile that might be helpful here: appsilon.github.io/rhino/articles/how-to/publish-on-huggingface.html
did you use proxies to speed up the load of your leaflet app? Im having trouble with server disconnects on deployment. I think the leaflet map load is timing out on server connection. Question for Pedro Silva
In my terminal, when I run rhinos$table(data) I got: > rhinos$table(data) Error in UseMethod("pivot_wider") : no applicable method for 'pivot_wider' applied to an object of class "function"
How does access GUI
How to connect MySQL database table in shiny rhino framework?
Connecting to a MySQL database table in the Rhino framework mirrors the process in regular Shiny. Check out our blog post on Postgres (go.appsilon.com/postgres) for a general guide - the process for MySQL is quite similar.
Great app
Hi! Thank you very much for the great talk. I wonder if you have a longer table just like the one you showed at 8:39 with the corresponding names of functions between R and Python that you could share here. That would be very useful for when we want to try some things out. I would appreciated it! :)
Is Rhino to R similar with Flutter to Dart?
On a general level, yes, but it's more Rhino to Shiny than Rhino to R. If you want to explore more about our framework, head here: appsilon.github.io/rhino/articles/explanation/what-is-rhino.html
Coming from the web development, I think shiny will that I need for my current dash-boarding project. I want to build an interactive and live atlas containing various maps depicting operations of the departments in my company. I have got the maps working. Now I am at the stage of making the pages look good. I think I will just use plain bootstrap. I read somewhere that shiny gives an option for this.
Its gives risk metrics and risk assessment for any programming language package or specifically for R ?
Thank you for posting this webinar. Being new to Shiny development, I can see this being a great way to get started building structured apps from the jump. Looking forward to learning more from the Appsilon team.
"i love debugging" ... made me literally LOL
Thanks for the great work and sharing. One quick question about Teal Playground on posit cloud. I barely can access link which shown at 24'23'' and was wondering if it's not available now.
Hi. Great content. I have a question concerning your setup for such effective running of the R and the Shiny app on vs-code. I use vs-code but I can't seem to get the setting right. If I am not mistaken, I think you are reloading the open app session to update it once you add or change the code in the app. How do I achieve the same effect? In my case, any change I make reflects only if I kill the session then re-run everything again.
Could you kindly share your vs-code settings or make a guide on how one can achieve optimal setup for running R and R shiny apps in vs-code? Thanks.
Amazing. Thanks for a great talk.
Hello My name is Melkiory from Tanzania I really wanna become a full-time R and Shiny developer looking forward to applying for a job at Appsilon which is a brilliant company
Hi MelkioryGreat to see you here!
I am liking this shiny gatherings series 🎉 looking forward to today gatherings.
Another great talk! Is there a link to Veerle's code for the examples she wasn't able to share?
👋
This was really informative (and entertaining!). Thank you for this!
hi there thanks for the effort being done on your part , but is it a good practice in shiny dev process to add data in a separate module ? secondly how do I insert data from 3rd party sources which takes real-time format or near real-time , let say that I want my app use data which comes fresh from the yahoo weather section every time a user makes a call to the server ? are there any tutorials or guides as to how one do that ? best regards
Very excited to see they are working on webR!