New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...

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

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

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 ...

ReportLab and fpdf2 are the top choices for flexible and efficient Python PDF generation. HTML-to-PDF tools like WeasyPrint and PDFKit simplify web-to-document workflows. Python PDF generator ...

Abstract: When programmers write project code, they may copy or reference some open-source code, which may include defective code, causing vulnerabilities in the project. This causes a potential ...

This project is maintained again as of 2026-06. The current goal is to keep the original py2neo v3 / Neo4j 3.x example usable for learners, notebooks, and legacy projects while adding a current Neo4j ...

Google has brought the ability to edit and run Python code directly inside Gemini's interface but only for paid users. Unlike ChatGPT's Code Interpreter which can also perform advanced data analysis, ...

Power BI is a popular business intelligence tool that allows you to create interactive dashboards and reports from various data sources. Power BI also supports Python, a versatile and powerful ...

Over the past few years, graph neural networks and graph transformers have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks.