Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

In August 2024, IEX Cloud—a platform that once promised to democratize financial data—officially shut down. For many of us in the fintech and developer communities, this was more than just a service ...

In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

qmplot is a handy, user-friendly tool and Python library that allows for quick and flexible of publication-ready manhattan and Q-Q plots directly from PLINK association results files or any data frame ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial data ...

In the ever-growing large language model (LLMs) landscape, two front-runners stand out from the rest of the race: Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o (the “o” stands for “Omni”). Both ...

- Software Engineer - CEO, Lucre (getlucre.xyz - Bitcoin payment infrastructure). Disclaimer: This article aims to clarify that the code provided is not a universal solution for all aspects of ...