(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.
The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating #Excel tasks with #RStats and #Python and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.
(2/2) Here are some of the topics the book covers:
✅ Read and write Excel files with R and Python
✅ Excel automation with R and Python scripts
✅ Data visualization with ggplot2 and Matplotlib in Excel
✅ Time series analysis and forecasting
✅ Regression analysis
✅ Embading R/Python applications and functions in Excel
If you are working with Excel users or you are using Excel and want to extend your capabilities, I recommend checking this book.
Join #PyData#Pittsburgh for a casual gathering of the local, national, and international PyData community on the sidelines of #PyCon US 2024! Meet up with fellow #DataScience, #MachineLearning, and scientific computing enthusiasts when the world's largest Python conference comes to town.
In the past few months, I created a bunch of Docker 🐳 tutorials covering random topics, from a fun setting for a Python 🐍 environment on the CLI to advanced topics such as multi-stage builds 🏗️. I organized all the tutorials under one folder, and I plan to keep updating this folder with future-related ones 😎.
Currently on my Docker tutorial TODO list:
➡️ Docker ENTRYPOINT vs CMD
➡️ Docker multi-architecture build
Day 4. Are Your Students Learning? How to check for learning as we’re teaching
Here are 5 exercises you can use as formative assessments when teaching coding skills, that will allow you to support your student at the moment when the learning is happening.
I've ended up with an inquiry from a #DataScience student interested in examples of #harm coming to people because of #data collection (especially in a war context, but open to anything). Do folks have any favorite pointers / examples I could pass along?
@quinnanya "favorite"isn't exactly the right word, but in the 1930s, IBM Germany explicitly pushed computing machinery as a way to collate and identify "undesirables" (see, Shew, Ashley. 2023. Against Technoableism : Rethinking Who Needs Improvement. First edition. New York: W. W. Norton & Company, pp 89-92)
(1/2) Prompt Fuzzer - a new open-source project for LLM security 👇🏼
Prompt Fuzzer is a new open-source project that provides a set of functions for assessing the security of GenAI applications. This CLI-based tool enables you to run and test your system prompts to identify security vulnerabilities against potential dynamic LLM-based attacks.
(2/2) The CLI interface has an interactive playground chat interface, giving you the chance to iteratively improve your system prompt, hardening it against a wide spectrum of generative AI attacks
Getting started with the Dev Containers extension 🚀👇🏼
The Dev Containers extension is the main reason I moved to VScode, as it provides a native and seamless integration of Docker 🐳. I started to work on a sequence of tutorials focusing on the VScode Dev Containers extension. The first tutorial on the sequence focuses on getting started with the Dev Containers extension;
ICYMI, MIT HASTS ABD Alex Reiss Sorokin presented an excellent CBI Tomash Fellow Lecture, "From Search to Research Technologies 1964-1994," on April 30th. The video of the talk now is available. #ai#datascience#librarians