#30DayMapChallenge my 25/30 contributions
For four years I’ve been following #30DayMapCallenge with admiration but not daring to commit to it. Producing maps was always an accompanying step in my main activities, and towards the...continue reading.
For four years I’ve been following #30DayMapCallenge with admiration but not daring to commit to it. Producing maps was always an accompanying step in my main activities, and towards the...continue reading.
You might have seen our previous articles on Dockerizing R scripts and R Shiny applications and were left wondering: Are all of my dependency versions really fixed right now? It’s...continue reading.
The introduction of shiny.react has been a significant milestone in R Shiny’s evolution, acting as a bridge to React.js and enabling the incorporation of React components within Shiny applications. shiny.fluent,...continue reading.
Why Attention To Detail Is An Important Trait Many years ago when I lived in Las Vegas, I was walking inside the Miracle Mile Shops at the Planet Hollywood, Las...continue reading.
The paper Empirically Testing Predictions of an Attrition on Warfare Model for the War in Ukraine, by Peter Turchin, recently showed up during one of my regular searches for software...continue reading.
The paper Empirically Testing Predictions of an Attrition on Warfare Model for the War in Ukraine, by Peter Turchin, recently showed up during one of my regular searches for software...continue reading.
Efficiently handling complex workflows is crucial in computational biology, going beyond necessity to become a competitive differentiator. As professionals in this dynamic field, you’re likely familiar with the challenges: integrating...continue reading.
Welcome to the final part of our “Unlocking the Power of Functional Programming in R” series. In this article, we’ll explore how functional programming enhances reproducibility and testing in data...continue reading.
It seems like it’s getting easier and easier to get into deep learning, at least as a practitioner. Packages like FastAI are available to masses for both Python and R,...continue reading.
In this Microsoft Fabric series: We have looked into creating the lakehouse, checked the delta lake and delta tables, got some data into the lakehouse, and created a custom environment...continue reading.
n this Microsoft Fabric series: An Apache Spark job definition is a single computational action, that is normally scheduled and triggered. In Microsoft Fabric (same as in Synapse), you could...continue reading.
On Thursday, December 5th, 2023, Posit and Databricks held a joint event, revealing several key developments in their ongoing collaboration. These updates, building on announcements from July 2023, showcase tangible...continue reading.
Shiny has long stood as a pillar of functionality and flexibility for R-based web applications. Let’s explore Shiny Express — an emerging Python-centric framework in development that combines the ease...continue reading.
Picture this – the data science team you manage primarily uses R and heavily relies on dplyr for implementing data processing pipelines. All is good, but then out of the...continue reading.
In this Microsoft Fabric series: Yesterday we looked into lakehouse and learned that Delta tables are the storing format. So, let’s explore what and how we can go around understanding...continue reading.
Statistical analysis and data handling play a pivotal role in the life sciences and pharmaceutical industries. The need for accurate and robust data analysis cannot be overstated, as it underpins...continue reading.
R/Shiny allows you to prototype a working web application quickly and easily. However, with increasing amounts of data, your app may become slow and, in extreme cases, crash due to...continue reading.
In the fast-paced world of pharmaceutical software development, open-source tools play a pivotal role. Among these, Teal stands out as a groundbreaking framework, developed under the aegis of Roche, for...continue reading.
It doesn’t matter if you’ve created the world’s best R Shiny application if you can’t share it with others. Reproducibility and portability are two major key points in software development,...continue reading.
Shiny dashboards created using R have become a staple for data professionals due to their flexibility, power, ease of use, and community support when carrying out data visualization and analytics....continue reading.