KotlinConf 2017 - Kotlin for Data Science by Thomas Nield
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- čas přidán 25. 07. 2024
- "Data Science" is a broad buzzword encompassing the study and analysis of data, often using programming tools like R, Python, and Scala. But can a pragmatic language like Kotlin address many challenges currently faced in the data science domain?
Kotlin offers pragmatic, concise syntax and features that can quickly express business logic. It not only handles business complexity with grace and speed, but also introduces type safety and resiliency. Kotlin might be able to close the gap between data science and software engineering, allowing data scientists to model towards production and not just prototypes.
This session will help you discover how Kotlin can take data science to new heights, and how you (the community!) can be the catalyst to drive it.
Thomas Nield is a Business Consultant for Southwest Airlines in Schedule Initiatives, often balancing business analytics with tactical technology development. He is a maintainer/contributor for a number of OSS projects including RxKotlin, RxJavaFX, Kotlin-Statistics, TornadoFX, and RxPy. Thomas is an author/speaker at O'Reilly Media with a book, videos, and webcasts covering topics like SQL, reactive programming, and data science. He has authored the books Getting Started with SQL (O'Reilly) and Learning RxJava (Packt). - Věda a technologie
Thanks for a great talk! I've recently been interested in Kotlin for ML. Seems like an obvious choice which can bridge the flexibility of Python and JVM "production readiness". Hope we will soon see more of Kotlin in data science domain.
Great talk! No need to be so nervous, Thomas. :D
Very very good and interesting talk. Thanks a lot.
Also be sure to watch Holger's talk on kscript, which offers some critical functionality using Kotlin for data science workflows czcams.com/video/cOJPKhlRa8c/video.html
Very nice talk!
Good talk, Thomas! I think I definitely will start learning Kotlin.
Go for it!
You should really drop the music.
Thomas Nield, do you find our air traffic controL system?????
The reality in data science looks a lot different from that what you are showing. K is nice, but I prefer Python
Yes and no... but yes for true exploratory data science work. This talk was geared towards a production mindset with a software engineering audience.
Dynamically typed languages are nightmare
there are types of people which breathe irregularly when presenting and simply by just listening to them i too start having breathing difficulties - unfortunately, not all people are suited to be public speakers
Editing fail! Your intro and video should be normalized to the same volume. Your intro shouldn't be 1998 local car dealership commercial volume levels.
Keep dreaming.