You can use tools like black to automatically style your Python code in a consistent way. However, if you're just running it manually, you have to remember to run it …

data.table data.table is a fast, efficient data format built upon data frames/tibbles designed to work with large data sets. It comes with its own set of syntax …

Getting the dataset Flight data downloaded from https://raw.githubusercontent.com/apache-superset/examples-data/master/tutorial_flights.csv: R library(dplyr) library(readr) data <- read_csv("https://raw.githubusercontent.com/apache-superset/examples-data/master …

The Problem Python lets you have multiple virtual environments and that's cool for running scripts but when you need to install Jupyter and run a notebook in Jupyter Lab (the …

If your conda environment is taking a long time to solve (or failing to solve altogether), you might want to try mamba, which reimplements conda in C++ with an improved …

One of the most attractive features of the REDCap API over other survey tools like Qualtrics, Google Forms and SurveyMonkey is the fact that the API playground supports GUI-style selection …

Issues with memory use can be hard to pin down, as your program may only show issues after carrying out multiple memory intensive steps. Using the memory_profiler package in Jupyter …

Make it easier to SSH into your VMs. You shouldn't need to enter your username $ mkdir -p ~/.ssh # make sure you have an SSH config directory $ cat >> ~/.ssh/config << EOF …

Autocompletion of variable names in Jupyter Lab (or Notebook) can be frustratingly inconsistent. For a smoother development experience, the jupyterlab-lsp extension provides better completions using the same language servers as …

Sometimes we don't need to deploy R Shiny dashboards to a server, and it is ok to just run them locally. In these cases, we can make it easier for …