Shiny in Production: Sponsors
There’s only two weeks left to go until Shiny in Production 2023! The events team are hard at work getting things ready for the day, and we wanted to take this opportunity to say a huge than...
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
Including ggplot2 Plots in Python Notebooks
For an article on A/B testing that I am preparing, I asked my partner Dr. Nina Zumel if she could do me a favor and write some code to produce the diagrams. She prepared an excellent parameterized diagram generator. However being the author of the book Practical Data Science ...
An infinity of time series forecasting models in nnetsauce (Part 2 with uncertainty quantification)
An infinity of ML-based time series forecasting models with uncertainty quantification
Reproducible reports with Jupyter
Jupyter notebooks are a useful tool for Python users of all levels. They allow
us to mix together plain text (formatted as Markdown) with Python code. This
is beneficial for beginners and experien...
Live from London! Global Excel Summit 2024
After a pandemic-induced hiatus and move to fully virtual, the Global Excel Summit is BACK in hybrid format this February 2024, live from London, UK. I’m super excited to participate in person at this year’s event. Would you like to join me? Use promocode GEORGE at checkout to get 10% ...
(News from) forecasting in Python with ahead (progress bars and plots)
Univariate and multivariate time series forecasting with uncertainty quantification in Python
XGBoost for Regression in Python
In this post I’m going to show you my process for solving regression problems with XGBoost in python, using either the native xgboost API or the scikit-learn interface. This is a powerful methodology that can produce world class results in a short...
Building Mastodon Bots and Promoting the Community – Part 2
As mentioned in the first post in this series, this post will cover how to build a Mastodon bot. This can be fairly straightforward, but - as always - there are multiple ways to “make it work”. Fortunately, there are already some fantastic tutorials out there that can help you ...
posit::conf(2023)
Our bags are packed, flights are booked, and we’re ready to head stateside for posit::conf(2023). We’re excited to be sponsoring the event this year, as well as presenting a few talks ...
Schemas for Python Data Frames
The Pandas data frame is probably the most popular tool used to model tabular data in Python. For in-memory data, Pandas serves a role that might normally fall to a relational database. Though, Pandas data frames are typically manipulated through methods, instead of with a relational query language. One can […] [...Read more...]
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