R-Ladies Baltimore
R-Ladies Baltimore
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R-Ladies Baltimore | Python Rgonomics
R-Ladies Baltimore (Bmore) hosted a meetup on Tuesday February 20, 2024 with a wonderful presentation from Emily Riederer, a Senior Analytics Manager at Capital One (emilyriederer.netlify.app/about). She gave a talk on "Python Rgonomics: Modern python tools that feel like R"!
For folks that cross languages from R to Python, come learn about newer tools in the Python space that mirror some of R's semantics and make users feel more at home, including:
- Setup like less painful installation (pyenv) and a great IDE (VSCode)
- Core computation: polars feels much more like dplyr than pandas
- The communication stack: seaborn's object interface explicitly inspired by ggplot2, Rich Iaonne's new gt python port
- Quarto notebooks
Think about it as opinionated data science stack that will feel more familiar to R users!
WHO is this for?
- If you are new to R, and want to come learn about some awesome Python packages and a great integrative developer environment (IDE)?
- If you are new to Python, and want to learn tools that feel like R?
- If you use RStudio, and want to learn about a new IDE?
Переглядів: 73

Відео

R-Ladies Baltimore | Using LLMs to develop R code
Переглядів 6311 місяців тому
R-Ladies Baltimore (Bmore) hosted a meetup on Tuesday January 23, 2024 with a wonderful presentation from Kathleen Morrill, a Senior Computational Scientist at Colossal Biosciences. She gave a talk on "Writing your code with R-ubber duckies that talk back: using LLMs to develop R code"! WHO is this for? If you are new to R and want to learn about R packages? If you know R, but want to expand yo...
R Ladies Baltimore | Visualization and analysis of spatial data
Переглядів 94Рік тому
R-Ladies Baltimore (Bmore) hosted a meetup on Friday October 27, 2023. We had a wonderful presentation from Yi Wang, a fifth-year PhD student in the Johns Hopkins Department of Biostatistics on "Visualization and analysis of spatial data". WHO is this for? If you are new to R and want to learn about packages to visualize spatial data? If you know R, but want to expand your knowledge spatial pac...
R Ladies Baltimore | Data intervention for NGS analysis and R pkg dev
Переглядів 85Рік тому
R-Ladies Baltimore (Bmore) hosted a meetup on Thursday June 15, 2023. Dr. Mercedeh Javanbakht Movassagh, an Associate Research Scientist with a focus on infectious disease computational biology and bioinformatics, at Yale School of Medicine gave a presentation on data intervention strategies for various Next-Generation Sequencing (NGS) analyses and R package development! WHO is this for? If you...
R Ladies Baltimore | Intro to Causal Inference in R using fixest
Переглядів 725Рік тому
R-Ladies Baltimore (Bmore) hosted a meetup on Monday June 5, 2023. Dr. Berk Can Deniz (@berkcdeniz, www.linkedin.com/in/berk-can-deniz) , a Data Scientist at Figma gave a presentation on causal inference in R using the package fixes. Causal inference's popularity has exploded in academia and industry in recent years. As causal inference's importance grew, R has been one of the most important pl...
R Ladies Baltimore | Make your R code purr with purrr
Переглядів 2,2 тис.2 роки тому
R-Ladies Baltimore (Bmore) hosted a meetup on Wednesday May 4, 2022 featuring an awesome presentation from Isabella Ghement (@IsabellaGhement, www.ghement.ca/index.html) the principal of Ghement Statistical Consulting Company and an expert statistician, R trainer and statistical consultant. She gave a presentation on how to use the R package purrr.
R Ladies Baltimore | How to use R with Excel
Переглядів 2262 роки тому
R-Ladies Baltimore (Bmore) hosted a meetup on Thursday March 24, 2022 featuring an awesome presentation from Alyssa Columbus (@alycolumbus, alyssacolumbus.com) a graduate student at Johns Hopkins University and a founder of R-Ladies Irvine. She gives a thorough introduction to how to use R with Excel. Materials for the meetup are available on GitHub at github.com/acolum/r-ladies-baltimore-r-and...
R-Ladies Baltimore | Data Privacy Preserving Applications With R
Переглядів 612 роки тому
Claire McKay Bowen (@ClaireMKBowen, clairemckaybowen.com), Principal Research Associate at the Urban Institute gives a clear and informative introduction to data privacy preserving applications in R. Materials for the presentation can be found at github.com/ClaireMcKayBowen/r-ladies-baltimore-privacy-talk (Note the video starts a few minutes into the presentation.)
R-Ladies Baltimore and Washington DC | Intoduction to Bookdown | Tyner
Переглядів 1993 роки тому
This video contains an exciting presentation from Sam Tyner (@sctyner, sctyner.me), Data Scientist at Tritura, and a co-organizer of R-Ladies DC where she gives an introduction to the bookdown (bookdown.org) R package. Meetup link: www.meetup.com/rladies-baltimore/events/281623253/
R-Ladies Baltimore | Using Git and Github in RStudio | Lendway
Переглядів 8653 роки тому
In this meetup, Dr. Lisa Lendway gave an exciting presentation (and hands-on session!) on using Git and Github in RStudio. Dr. Lisa Lendway (twitter: @lisalendway, lisalendway.netlify.app) is Professor of Statistics and Data science at Macalester College and R Studio certified instructor of tidyverse. Meetup link: www.meetup.com/rladies-baltimore/events/281459184
R Ladies Baltimore | Building Web-Ready Maps | Toumi
Переглядів 1313 роки тому
In this meetup, Asmae Toumi walked us through several workflows generating professional production-ready maps on October 19, 2021. Asmae is the Director of Analytics and Research at PursueCare, a telehealth company specializing in treating substance use disorder. You can find her musings on everything #rstats, Jeep and sports @asmae_toumi. If you need to create lovely maps for a website, public...
R-Ladies Baltimore | Building websites in RStudio | Tackett
Переглядів 1 тис.3 роки тому
In this meetup Dr. Maria Tackett gave a presentation on developing a website in RStudio on April 1, 2021. Dr. Tackett (www.mariatackett.net) is an Assistant Professor of the Practice in the Department of Statistical Science at Duke University. Her presentation discusses tools and tricks for building websites using RStudio. If you've ever thought about making a website for yourself or your proje...
R-Ladies Baltimore | An intro to tidymodels for tidy machine learning | Barter
Переглядів 1,4 тис.3 роки тому
In this meetup, Rebecca Barter (www.rebeccabarter.com) currently a Postdoctoral Fellow at UC Berkeley gave a wonderful talk introducing tidymodels (www.tidymodels.org) for tidy machine learning! This is an incredibly cool topic and the tidymodels package is a very powerful tool to build and implement machine learning algorithms in R in a tidy way. Meetup link: www.meetup.com/rladies-baltimore/e...
R-Ladies Baltimore | Let's get meta: analyzing your R code with tidycode | D'Agostino McGowan
Переглядів 1773 роки тому
In this meetup, Lucy D'Agostino McGowan (www.lucymcgowan.com) an Assistant Professor in Statistics, Wake Forest University gave an exciting presentation on two R packages: matahari (github.com/jhudsl/matahari) and tidycode (lucymcgowan.github.io/tidycode/). The matahari package is a simple package for tidy logging of everything you type into the R console. The tidycode package allows users to a...
R-Ladies Baltimore | An introduction to the R/Bioconductor Ecosystem | Chavez
Переглядів 1744 роки тому
In this meetup, Jocelyn Chavez (josschavezf.netlify.app) a Ph.D. student at the Biotechnology Institute-UNAM in Mexico gave a fantastic introduction to the R/Bioconductor (bioconductor.org) ecosystem! If you haven't heard of Bioconductor, you can think of it like a cousin to CRAN, but for the analysis of biological data. Meetup link: www.meetup.com/rladies-baltimore/events/273335104/
R-Ladies Baltimore | Reticulate RStudio and your R code with Python | Timbers
Переглядів 8 тис.4 роки тому
R-Ladies Baltimore | Reticulate RStudio and your R code with Python | Timbers
R-Ladies Baltimore | Mapping Neighborhood Air-Quality with Shiny | Kolak, Kamber
Переглядів 1844 роки тому
R-Ladies Baltimore | Mapping Neighborhood Air-Quality with Shiny | Kolak, Kamber
R-Ladies Baltimore | Create and share reproducible code with workflowr | Naidoo, Fabris-Rotelli
Переглядів 2064 роки тому
R-Ladies Baltimore | Create and share reproducible code with workflowr | Naidoo, Fabris-Rotelli

КОМЕНТАРІ

  • @swatyk6881
    @swatyk6881 Рік тому

    This is so good. Thanks!

  • @javierbeltran7623
    @javierbeltran7623 Рік тому

    Hi!!..This is a very interesting example to develop these concepts. Is it possible to get te data for the "case studies"?...Thanks in adavance and good luck!

  • @haraldurkarlsson1147
    @haraldurkarlsson1147 2 роки тому

    Since map functions basically use C++ under the hood then map_dbl has to be faster than map coupled with unlist (which is a base function.

  • @robertreid64
    @robertreid64 2 роки тому

    Extremely helpful. Many thanks to R-Ladies Baltimore, Isabella especially