http://www.rasadacrea.comrss feed aggregated news on web services and technologies by RasadaCrea France : Category en_web training coursesFri, 12 Jun 2026 15:31:17 GMTPyRSS2Gen-1.0.0http://blogs.law.harvard.edu/tech/rsshttps://blog.jetbrains.com/pycharm/2026/06/best-python-ai-frameworks-in-2026/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. A production recommendation system has different requirements than a research prototype. A chatbot powered by large language models (LLMs) needs different tools than a fraud detection system analyzing tabular data. Let's explore seven essential frameworks and where each excels so you can find the best AI framework for your specific project. What is an AI framework? AI frameworks are pre-built libraries and tools that handle the complex mathematics, data structures, and computational operations underlying AI and machine learning models. Rather than implementing neural networks or gradient descent from scratch, AI frameworks provide abstractions that let you focus on model architecture, data preparation, and business logic. These frameworks generally fall into three categories: Deep learning frameworks like TensorFlow, PyTorch, and Keras specialize .. cntdThu, 11 Jun 2026 11:28:08 GMThttps://sethmlarson.dev/are-insecure-code-completions-a-vulnerability?utm_campaign=rssThree months ago I saw that PyCharm shipped with a “ Full Line Completion ” plugin that “uses a local deep learning model to suggest entire lines of code”. These suggestions manifest as whole-line suggestions after you start typing and can be accepted with Tab . Essentially auto-complete for entire lines. I decide to test this functionality. I started by writing import urllib3 , created a new line, and then typed u and received a suggested completion for the line marked below with a dashed border . I was not impressed by the result: import urllib3 u rllib3 . disable_warnings ( urllib3 . exceptions . InsecureRequestWarning ) Accepting this line would mean that any insecure requests made with urllib3 would not result in a user-visible warning. I didn't accept this suggestion and then began to instantiate a urllib3.PoolManager and what I feared would come next was confirmed: import urllib3 urllib3 . PoolManager ( cert_reqs = 'CERT_NONE' , The suggestion offered to disable certificate verification ( CERT_NONE ) which would make every request made by the PoolManager susceptible to monster-in-the-middle (MITM) attacks. Accepting this code as-is would mean the program I am writing has a severe vulnerability. .. cntdWed, 10 Jun 2026 00:00:00 GMThttps://lucumr.pocoo.org/2026/6/10/gaslighting/I have been a staunch supporter of Open Source for a long time, including experiments in funding it . I'm a true believer in the idea that Open Source always wins in the long run, but not automatically and not quickly. Right now it is being stressed by AI slop, shifting contributor dynamics, the falling cost of producing code, and large companies learning to close doors behind them. A lot of that battle today is manipulation of the narrative. Opinion makers on social media and in business circles increasingly frame access as irresponsibility. That is why the EU's DMA matters, even if many people (including myself) reflexively hate EU regulation. Apple's fight over delayed AI features in Europe is not about Brussels being annoying: it is about whether users can access their own devices and data. The phone is yours, the data is yours, yet Apple decides who may reach it and takes the agency away from you and then tries to make that sound like it is in your interest (supposedly it's for your safety and security). The closer you get to the core of AI, the more this shows up. Anthropic has every financial incentive to restrict what people can do with Mythos and Fable , and they wrap those restrictions in safety and (national) security .. cntdWed, 10 Jun 2026 00:00:00 GMThttps://belderbos.dev/blog/jochen-rust-cohort-beat-cpython/Jochen Deister is a lawyer who codes for fun. He has years of Python behind him and no intention of ever being hired to program. Three months ago, Rust was just a name to him, the language for "the big shots" with a notoriously steep learning curve. Then he built a JSON parser from scratch in Rust, and it ran faster than the equivalent in Python on every dataset he tested, up to 3.5x faster on some. "Holy F" he reacted when he saw the results. Six weeks of work produced: A from-scratch JSON parser , no parsing libraries Benchmarks beating Python's standard json module (C-accelerated in CPython), up to 3.5x faster Close to 30 commits in the final week alone, each one a single performance step A deliberate 78-error refactor, with the compiler as the guide to a faster implementation A new default language: Rust is now the one he reaches for first Here's how it happened. The gap Jochen learned to code on a Commodore VIC-20 with six kilobytes of RAM, then a C64, then a stint in assembly and Turbo Pascal when the bottleneck moved from memory to speed. Then life took him into law and academia, and he forgot all of it until he picked Python back up years ago. Python suited him, but it hid the machine. "Python .. cntdThu, 04 Jun 2026 00:00:00 GMThttps://www.thepythoncodingstack.com/p/stephens-preface-to-agents-unpacked-ai-agentsLike many, I started using chatbots when GPT whatever-version-it-was came out and took the world by storm. It was really not very good at the time (compared to today's top-end chatbots), but it was clearly the start of something. But things moved quickly, and I couldn't quite catch up. I was busy with, you know, actual work, family, and life. Then I started hearing lots of new terms, lots of new acronyms. I didn't know what they were. I still don't know what most of them are. Then it was all about agents. I remember clearly thinking to myself: "Is this really any different from the ChatGPT-type chatbots?" And here's where this new series comes in. I decided to dive into agents and created a few. One of them is a learning tutor agent that I personalised to suit me. I gave the agent all my tutorials and books. I gave the agent all the articles I wrote about my views on learning and technical writing. I asked the agent to figure out from all this how I like to learn, how I like to communicate. I teach the way I like to learn, so it's fine to put my teaching style in the mix. Then, I had a good long chat with my learning tutor agent to make sure we're on the same page. I gave a name to my agent (I named all my agents!) My personalised .. cntdSun, 24 May 2026 18:15:54 GMThttps://www.thepythoncodingstack.com/p/how-i-learn-2026-version-my-tutor-ai-agent-teacherI know how I like to learn new things. Over the years, I figured out what works for me and what doesn't. If you read my articles or attend my courses, then you know how I like to learn since I teach in the same way. The challenge when learning something new is finding resources that are just right for me. And that's not easy. I know I can learn things better and quicker with resources that fit my style well, but you can't always find these resources. I recently got particularly annoyed learning about the biomechanics of sprinting I do have non-Python interests, yes because all three textbooks I read, and lots of the online writing in this field, are just, let's say, not great. But I now found the solution. After many decades of learning in the same way, I have now upgraded how I learn thanks to my new tutor, Priya. Yes, I gave her a name. No, she's not a real person. Priya is my personalised tutor agent. I'll tell you all about her below. And you'll experience her teaching, too (not on the Python articles, though, I'll keep writing those the old-fashioned way.) I'll tell you more about this below, too, but let me first tell you why this works for me. My Tutor, My Style I've been thinking about the way I learn and teach for many years, .. cntdThu, 21 May 2026 21:23:09 GMThttps://www.hongkiat.com/blog/adobe-firefly-ai-assistant-creative-cloud/Adobe is trying to turn Firefly into more than an image generator. Firefly AI Assistant is Adobe's attempt to turn Creative Cloud into an agent-driven workflow layer. Instead of bouncing between Photoshop, Premiere Pro, Illustrator, Lightroom, and Express, users describe the result they want, and Firefly handles the app hopping in the background. That is a much bigger move than adding another AI button inside one Adobe app. It extends the direction Adobe has already been pushing with features like Photoshop with AI , but at a broader workflow level. What Adobe Announced At the center of the announcement is a simple idea: one prompt should be able to trigger a multi-step workflow across several Creative Cloud apps while preserving context between sessions. Adobe laid that out in both its official blog post and its newsroom release . The pitch is straightforward: spend less time figuring out which app, panel, or workflow to use, and more time describing the end result. Adobe is positioning the assistant to work across apps including: Photoshop Premiere Pro Express Lightroom Illustrator additional Creative Cloud apps over time It will also ship with prebuilt Creative Skills , reusable task flows for common .. cntdFri, 17 Apr 2026 09:55:00 GMT