Python-bloggers

The State of Shiny Survey: An Essential Tool for Data Scientists

March 27, 2023 | Appsilon

The adoption of Shiny, the R package for building interactive web applications, is growing. As a leader in R Shiny development for enterprises, we’re asking you, fellow users of R and Shiny, to discuss the current state of Shiny in 2023 and its outlook for the future. We would like ...

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Introduction to Python (Financial Modeling Institute presentation)

March 17, 2023 | George Mount

This event has concluded. Thank you to the Financial Modeling Institute for the opportunity to present. In March 2023 I had the opportunity to lead a one-hour webinar with the Financial Modeling Institute (FMI) on an introduction to Python. Event description: If you’re a financial professional looking to grow your ... [...Read more...]

Using ControlNet models to remodel my living room

March 9, 2023 | Gary Hutson

This post will use an old image of my house before I bought it, and remodelled the living room, to see how this model could be used to make suggestions on how it could be further remodelled. We will be using a suite of pre-trained ControlNet models, trained on hours ...

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SatRdays London 2023: Speakers

March 7, 2023 | The Jumping Rivers Blog

SatRdays London is fast approaching, and we are happy to announce our full lineup of speakers for the event! Read on for more info. If you want to join the fun, head over to the conference website...

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PyCaret: A unified ML platform for training and deploying Machine Learning Models at Scale

March 3, 2023 | Nagdev Amruthnath

PyCaret is an open-source machine learning library in Python that is designed to reduce the time and effort required for building, deploying and scaling machine learning models. It provides a simplified and unified interface for various machine learning tasks like classification, regression, clustering, natural language processing and anomaly detection. PyCaret ... [...Read more...]

Few Shot Learning with SetFit

February 24, 2023 | Gary Hutson

HuggingFace have been working on a model that can be used for small datasets. The aim is to leverage the pretrained transformer and use contrastive learning to augment and extend the dataset, by using similar labels that share a same dimensional space. In this tutorial I will talk you through ...

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What is the role of Python in modern Excel?

February 21, 2023 | George Mount

Between Power Query and Power Pivot alone, “modern” Excel boasts so many features that it’s impossible to learn them all. Add to that Office Scripts, Power BI, LAMBDA() and more and it’s easy to get overwhelmed. One “Excel-adjacent” tool that can be particularly intimidating for prospective learners is ...

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Quantiles And Their Estimation

February 11, 2023 | Christian Lorentzen

Applied statistics is dominated by the ubiquitous mean. For a change, this post is dedicated to quantiles. I will give my best to provide a good mix of theory and practical examples. While the mean describes only the central tendency of a distribution or random sample, quantiles are able to ...

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Quarto for the Python user

February 2, 2023 | The Jumping Rivers Blog

As data scientists we often need to communicate conclusions drawn from data. Additionally, as more data is collected, our reports invariably need updating. This is where automated reporting tools such as Quarto come in! In this blog post we will look at how Quarto allows us to weave together text ...

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Events at Jumping Rivers

January 24, 2023 | The Jumping Rivers Blog

At Jumping Rivers we’re all about getting involved in the R community! As such, we host multiple events throughout the year. Read on for information about what we have planned so far for 202...

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