This is a guest post from Naa Ashiorkor, a data scientist and tech community builder. Building intelligent systems that can see, hear, understand language, and make decisions was previously the domain of specialized researchers with massive computing resources only – today, deep learning has made this accessible to developers and data scientists across the world, […]
In PyCharm 2026.2, you can build Python extensions with the new Rust plugin and debug them using debugpy, which is now the default engine. Running external utilities is now managed through a redesigned settings UI for uvx, while multi-project setups are supported out of the box for uv, Poetry, and Hatch workspaces. This release also […]
Object detection powers transformative applications, from autonomous vehicles navigating city streets and security systems identifying threats in real time to retail analytics tracking inventory and medical imaging detecting tumors. But choosing the right model for your computer vision project can be challenging, especially with dozens of architectures claiming superiority across different metrics…
A while ago at PyCon US 2026, I had the pleasure of listening to the Python Steering Council give updates about new features that are being added in Python 3.15. One that stood out was explicit lazy imports (via PEP 810), which defer module loading until first use. I am curious to see how this […]
Every developer has tools they rely on daily. The workflows they’ve built around them, the ways they’ve learned to move faster, debug smarter, and write better code – that kind of hands-on experience can be hard to put into words. We’re collaborating with LinkedIn to make it easier for you to showcase your expertise with […]
Whether you’re building chatbots, training computer vision models, or analyzing business data, choosing the right AI framework can make or break your project. Python has become the dominant language for AI and machine learning development, and the ecosystem of frameworks supporting this work has matured significantly. The right framework choice depends on what you’re building. […]
In 2026, the world of AI is changing at a serious pace. The days of AI systems dealing solely in single-prompt interactions are coming to an end. Instead, these models are evolving into agentic systems – long-running, goal-driven software enabled by agentic frameworks that are becoming a critical layer in modern application architecture. This rapid […]
This is a guest post from Iulia Feroli, founder of the Back To Engineering YouTube community. In this tutorial, we build a live object detection app using TensorFlow and PyCharm, then deploy it onto the Reachy Mini open-source robot for real-time object tracking. Reachy Mini is a compact open-source robot built in collaboration by Pollen […]
Making software accessible often comes down to removing small but repeated points of friction in everyday workflows. Today, on Global Accessibility Awareness Day, we’re sharing recent improvements in JetBrains IDEs across several areas: compatibility with assistive technologies on various platforms, keyboard navigation, and non-visual feedback. Some of these improvements are already available, and…
This is a guest post from Naa Ashiorkor, a data scientist and tech community builder. Artificial intelligence keeps evolving at a rapid pace. The latest major application of AI, specifically of LLMs, is AI agents. These are systems that use their perception of their environment, processes, and input to take action to achieve specific goals, […]
In PyCharm 2026.1.2, you can enable Pyrefly as an external type provider, dramatically increasing the speed of the IDE’s code insight features. What is the Pyrefly LSP? “LSP” stands for the Language Server Protocol – a standardized protocol that allows code editors and IDEs to communicate with language servers. The LSP enables language servers to […]
Workspaces are increasingly the go-to choice for companies and open-source teams aiming to manage shared code, enforce consistency, and simplify dependency management across multiple services. Working within massive codebases often means juggling many interdependent Python projects simultaneously. To streamline this experience, PyCharm 2026.1.1 introduced built-in support for uv workspaces, as wel…
AI is changing how Python developers learn, build, and contribute to open source. At the same time, long-standing questions around community, sustainability, data workflows, and web development are becoming even more important. Python Unplugged on PyTV, a free online conference hosted by JetBrains PyCharm, brought these conversations together in over seven hours of talks and […]
Choosing between PyTorch and TensorFlow isn’t about finding the “better” framework – it’s about finding the right fit for your project. Both power cutting-edge AI systems, but they excel in different domains. PyTorch dominates research and experimentation, while TensorFlow leads in production deployment at scale. The frameworks have evolved significantly since their early days, each […]
Have you ever wondered how machine learning models actually work with text? After all, these models require numerical input, but text is, well, text. Natural language processing (NLP) offers many ways to bridge this gap, from the large language models (LLMs) that are dominating headlines today all the way back to the foundational techniques of […]