Articles
Based on the eighth annual Python Developers Survey, this article by Michael Kennedy analyzes over 30,000 responses to identify significant trends and actionable insights for Python professionals. Key findings reveal that 86% of respondents use Python as their main language, and a surprising 50% have less than two years of professional coding experience, underscoring Python's accessibility for newcomers and prompting content creators and tool vendors to adapt their approach. Data science now accounts for over half of all Python usage, solidifying its position as Python's center of gravity, driven by a boom in AI and data tools. Despite major performance and memory benefits in newer Python versions (e.g., up to 42% speedup from 3.10 to 3.13), 83% of developers still use older releases, leading to significant potential cloud cost waste for businesses, urging immediate upgrades. The article also notes a resurgence in Python web development (46% usage), with FastAPI emerging as a leading framework, and a shift towards async and Rust-based web servers and binary extensions for performance. Furthermore, documentation is highlighted as the #1 learning source for developers, and PostgreSQL remains the dominant database. Looking ahead, agentic AI is poised to significantly boost developer productivity, and the upcoming free-threaded Python 3.14 will make concurrency a core consideration.
ReSharper 2025.2 delivers substantial performance enhancements designed to directly address common developer pain points and boost productivity. The new Out-of-Process (OOP) mode isolates ReSharper from Visual Studio, effectively reducing frustrating typing latency and enhancing overall stability. Significant optimizations for Razor/Blazor support minimize memory traffic and accelerate operations like "Find Usages," making development smoother for web projects. Core refactorings, especially "Rename," are now faster and provide clearer feedback, benefiting from parallel processing and reduced memory footprint, thereby eliminating delays. Inplace refactorings are now non-blocking and asynchronous, allowing developers to type immediately without interruption during complex operations. Furthermore, solution loading and initial indexing are dramatically accelerated by optimizing file I/O for modern SSDs and streamlining background processes, cutting down frustrating wait times. A new "Early Go-to" mode revolutionizes startup by enabling instant file navigation even before full solution indexing, drastically reducing perceived startup times and letting developers become productive immediately on large projects.
JetBrains DataSpell's 2025.2 version now includes JetBrains AI Pro with every paid subscription, positioning DataSpell as an AI-first data analysis tool. This significant update provides users with seamless access to advanced AI tools and cutting-edge models from leading providers like OpenAI, Google, and Anthropic. The integration aims to simplify and enhance various data analysis workflows, from initial project setup, which is now streamlined by the AI Assistant's automatic configuration capabilities, to complex data transformations. A key highlight is the introduction of dedicated AI agents designed to handle common data-related tasks directly within the IDE, such as managing interpreters, organizing files, connecting to and configuring databases, and interacting with Jupyter notebooks. Furthermore, JetBrains AI capabilities are significantly improved through context-aware code generation for Jupyter and SQL cells, the ability to attach relevant files and specific database objects to AI chats for richer context, and the new feature to create inline chart visualizations from text prompts. The article also details practical enhancements in data handling and export functionalities, including the integration of Data Wrangler edits directly within Jupyter cells, simplified tabular data export that maintains editability when pasted into other applications, and versatile PDF export options for notebooks. These updates collectively aim to provide a more intuitive, efficient, and powerful environment for data analysts.