These are my go-to libraries for Python data crunching.

The package rdata offers a lightweight way in Python to import and export R datasets/objects stored in the ".rda" and ".rds" formats. Its main advantages are: @misc{ramos-carreno++_2024_rdata-repo, ...

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Your browser does not support the audio element. Pandas is a Python library used for data analysis and manipulation on labeled datasets. The core mission of the ...

Abstract: In order to engage with large language models (LLMs) in a meaningful way, it is necessary to create prompts that are both instructive and precise. However, especially when working with ...

In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...

!pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git" !pip install "git+https://github.com/huggingface/transformers.git" !pip install -U ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...