Training course update – Autumn 2022
Here at Jumping Rivers we like to keep our courses up to date so we can bring you training on the latests tools and technologies. To this end, we have recently added two new courses to our listing...
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
MLOps with vetiver in Python and R: Answering your questions
As a follow-up to last month’s MLOps with vetiver in Python and R webinar, we’d like to highlight and answer some of the great audience questions asked during the session. You can also check out the demo and slides on the webinar’s website.... [...Read more...]
Creating & Deploying Shiny Apps in Python
It’s finally here! Along with it’s announced rebranding to ‘Posit’, RStudio also released it’s alpha version of ‘Shiny for Python’. Here’s how you can get started creating and deploying Shiny apps in Python.Set-upThe first step is going to be installin...
Data Science Software Popularity Update
I have recently updated my extensive analysis of the popularity of data science software. This update covers perhaps the most important section, the one that measures popularity based on the number of job advertisements. I repeat it here as a blog post, so you don’t have to read the ...
Hyper-Parameter Tuning with Python VIDEO
Hyper-parameter tuning is one way of taking your model development to the next level. This tool provides several ways to make small adjustments that can reap huge benefits. In the video below, we will look at tuning the hyper-parameters of a KNN model. Naturally, this tuning process can be used ...
Refactoring Russian Doll Code
Refactoring Russian Doll Code
Recently, I’ve been working with an environmental scientist to refactor a large R package. Let’s call her Jane.
Jane inherited a mess of code, and had to ...
R Shiny vs Shiny for Python: What are the Key Differences
If you haven’t been living under a rock for the past couple of weeks, you’ve likely noticed some groundbreaking news in the Shiny department. Yes, it’s finally available for Python! But how is the current Shiny for Python version? How does R Shiny compare vs Shiny for ...
Mocking Cognito in Python (at no cost)
Mocking up real services is a no-brainer, no one wants tests to affect the production environment in any way. Here's how to do that with AWS Cognito in Python. [...Read more...]
Containerizing Shiny for Python and Shinylive Applications
Shiny for Python brings easy interactivity to web applications that build on the data and scientific stack of Python. Containerizing Py-Shiny apps is the next step towards deployment to a wide array of hosting options, including static hosting.
Team Collaboration in R and Python Made Easy
Bilingual teams that want to do serious data science require collaboration, transparency, and reproducibility across R and Python workflows while empowering professionals to work in their preferred language(s). Accomplishing this requires tools built for interoperability at scale and a shared standard between data science languages.
Here are a few ... [...Read more...]
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