According to Andrej Karpathy, a new art project demonstrates how to train and run GPT models using only 243 lines of pure, dependency-free Python code. This minimalist approach highlights the core algorithmic essentials of GPT functionality, excluding additional optimizations for efficiency. The project provides insights into the fundamental structure of GPT, making it a valuable resource for traders and developers exploring AI's impact on financial technology.

According to @ItsDave_ADA, the top 10 programming languages used by developers in 2025 are JavaScript, Python, TypeScript, Bash/Shell, Java, C#, C++, PHP, Go, and C, source: @ItsDave_ADA. The top 10 frameworks in 2025 are Node.js, React, jQuery, Next.js, Express, ASP.NET-Core, Angular, Vue.js, FastAPI, and Spring Boot, source: @ItsDave_ADA. Over the past two years, Cardano’s developer tooling and support have progressed significantly, but important gaps remain, source: @ItsDave_ADA. In many of these languages and frameworks, starter projects are not yet available for core tasks such as building Cardano transactions, syncing the chain, and querying ledger state, source: @ItsDave_ADA. Addressing these gaps is described as key to broader developer adoption and ensuring Cardano is easily accessible, highlighting a priority focus for the ADA ecosystem, source: @ItsDave_ADA.

According to DeepLearning.AI, Python has become an essential tool in cryptocurrency trading and analytics due to its versatility and efficiency in handling data. The language's rise in popularity is attributed to its ability to streamline workflows and enhance profitability through advanced analytics, making it a preferred choice among industry professionals. This trend is supported by data showing increased adoption of Python in financial sectors, including crypto markets, where it aids in automation and predictive modeling. For traders, proficiency in Python is increasingly seen as a way to optimize trading strategies and achieve better financial outcomes (DeepLearning.AI, 2025).

According to Vitalik Buterin, new support for M31 and binary fields has been added to the zorch library. This update enables the writing of reasonably-performant STARK proving code that can run on GPUs using Python. Buterin encourages others to explore and utilize this new capability.