自从在学习开发MCP用uv来管理开发环境时，就觉出uv的不同：安装速度奇快、效率奇高！虽然pip用起来似乎更顺手（当然这可能只是习惯问题），但是比起效率来，uv高出来不是一点半点。 vu(来源：网络) 不用激活环境 用pip一直要activate，每次开始都要重来一遍，或是简单地来下测试，必要的activate总是少不了。一用uv后发现，activate并不是必须的，直接uv run即可，大大省事啰。

Zdecydowałem się umieścić kod na GitHub. Choć szczerze to trochę obawiam się krytyki. Bo jak pisałem wcześniej to mój pierwszy projekt w Python, a przy tym bardzo wspomagałem się AI (DeepSeek).

What is Linux ? Linux is a free and open-source operating system that manages your computer's hardware. It is highly secure, very fast, and rarely gets any viruses or malware. Today, it powers most of

I work as a PHP developer. And since PHP is a pretty boring language and, in my opinion, somewhat lacking in the future… well, maybe that's a bit harsh. ;) I'm not saying there won't be any jobs for PHP

Na co dzień jestem programistą PHP. A że jest to język nudny i trochę bez przyszłości… no dobra, może trochę przesadzam. ;) Nie chodzi mi oczywiście o to, że za

Learn AI Series (#156) - What's Next: Your AI Journey What will I learn? You will learn how far you've come across 156 episodes and what that knowledge actually means; the four honest paths forward - research,

Me uní al programa de Stanford Code In Place para para conocer los básicos de Python y comprender más la programación y escribir mi primer "Hola Mundo", en mi proyecto final decidí construir

Learn AI Series (#155) - The Complete AI Stack: Architecture Review What will I learn? You will learn how every technique from 154 episodes connects into a coherent whole; common AI architectures for common

Learn AI Series (#154) - AI Research: How to Read Papers What will I learn? You will learn the anatomy of a machine learning paper and what each section is actually for; reading strategies: how to extract

Learn AI Series (#153) - Building AI Products What will I learn the gap between a working model and a product -- why a model that aces the test set can still ship a product nobody comes back to; designing

Learn AI Series (#152) - The AI Practitioner's Toolkit What will I learn the decision framework I actually use -- a set of blunt questions for picking the right approach before you write a single line

Learn AI Series (#151) - Mini Project: Building Something That Matters What will I learn choosing a project that matters -- a blunt little scoring framework for telling a real problem from a toy demo before

Learn AI Series (#150) - Emerging Frontiers What will I learn AI video generation -- how systems like Sora extend diffusion from a single image to a whole sequence of frames, and the spacetime-transformer

Learn AI Series (#149) - AI Ethics in Practice What will I learn Bias auditing -- how to systematically detect and MEASURE bias in a model before it ever reaches a user, with a reusable auditor you can

Learn AI Series (#148) - The Economics of AI What will I learn AI and labor markets -- why AI eats TASKS and not whole jobs, why this wave hits white-collar cognitive work in a way no previous wave did,

Learn AI Series (#147) - AI Safety and Alignment What will I learn The alignment problem -- why getting an AI to do what you actually MEANT is a much nastier problem than getting it to do what you literally

Learn AI Series (#146) - Explainability and Interpretability What will I learn The black box problem and why it is not an academic worry -- trust, debugging, and (increasingly) the law all demand that

Learn AI Series (#145) - Neuro-Symbolic AI What will I learn Why the two oldest tribes in AI keep failing at each other's job: neural nets that perceive brilliantly but reason fuzzily, symbolic systems

Learn AI Series (#144) - Few-Shot and Zero-Shot Learning What will I learn The N-way K-shot setup: the vocabulary of few-shot learning, and why we train in "episodes" that simulate learning from