Numpy Copy, Explained
In this tutorial, I’ll explain the Numpy copy function. I’ll explain the syntax of np.copy and show you a clear example of how to use it. If you need something...continue reading.
In this tutorial, I’ll explain the Numpy copy function. I’ll explain the syntax of np.copy and show you a clear example of how to use it. If you need something...continue reading.
The Mandelbrot set is a set of complex numbers c for which the function does not diverge to infinity when iterate from , and therefore remains bounded in absolute value. For little stretching, we can...continue reading.
The shiny.benchmark package by Appsilon allows you to compare the performance of different versions of R Shiny applications. You can write instructions that will be executed and evaluated on different...continue reading.
One hundred sixty-seven new packages made it to CRAN in November: Here are my “Top 40” selections in fourteen categories: Climate Modeling: Computational Methods, Data, Ecology, Epidemiology, Genomics, Machine Learning,...continue reading.
A simplistic puzzle from The Riddler when applying brute force: A Tribonacci sequence is based on three entry integers a ≤ b ≤ c, and subsequent terms are the sum...continue reading.
Quite often data processing or analysis needs bring us to write own functions. Sometimes these self-defined functions are only meaningful and useful within a certain workflow or even a certain...continue reading.
Hello and welcome to this new issue! How to have (my) content shared by R Weekly? This week’s release was curated by Kelly Bodwin, with help from the R Weekly...continue reading.
It is New Year’s Day 2023 :sweat_smile:. Happy New Year!!! :fireworks: I am currently driving with my family coast-to-coast on a road trip through the United States, but for New...continue reading.
Since R community developed brilliant tools to deal with spatial data, producing maps is no longer the privilege of a narrow group of people with very specific almost esoteric knowledge,...continue reading.
I’ve recently completed fastStat, https://github.com/matloff/fastStat,a quick introduction to statistics for those who’ve had a calculus-based probability course. Many such people later need to do statistics, and this will give them...continue reading.
The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles. Since the beginning of 2021, we have been publishing quarterly updates here on...continue reading.
FIFA World Cup 2022 in Qatar saw many surprising results. In fact, too many – some would argue. From the unbelievable loss of Argentina to Saudi Arabia at the very...continue reading.
In the series of Azure Machine Learning posts: This post is super short 😦 R language and Azure Machine Learning SDK for R was deprecated a year ago (end of...continue reading.
The end of the year is approaching and it’s been a big one for R programming and the Shiny development community. As Shiny adoption continues to grow and R programming...continue reading.
In the series of Azure Machine Learning posts: Batch endpoints are a great and simple way to run inference over large volumes of data. They simplify the process of hosting...continue reading.
In the series of Azure Machine Learning posts: Using Azure CLI can help you progress faster, make repetitve tasks automated and even use the GIT integration, for faster and better...continue reading.
I’ve been working on a way to evaluate how old R code runs on the current version of R, and am now ready to share some results. It all started...continue reading.
Ref: https://rud.is/b/2022/12/19/2022-hanukkah-of-data-puzzle-1/ library(tidyverse) cust <- read_csv(“~/Downloads/noahs-csv/noahs-customers.csv”) orders_items <- read_csv(“~/Downloads/noahs-csv/noahs-orders_items.csv”) orders <- read_csv(“~/Downloads/noahs-csv/noahs-orders.csv”) products <- read_csv(“~/Downloads/noahs-csv/noahs-products.csv”) orders_items |> left_join(products) -> oip orders |> left_join(oip) -> orders orders |> filter( 2017 ==...continue reading.
Are you a life sciences educator looking to engage students with interactivity or a student needing to draw and label cells? Are you a researcher looking to offload the tedium...continue reading.
In the series of Azure Machine Learning posts: When creating notebooks, it is always a good way to have the dependencies included. Whether it is a particular version of a...continue reading.