Photo scraping has finally arrived!

In the new v2 Firecrawl endpoint, you can now pull images from websites. Suitable for multimodal LLM applications, model fine-tuning, and other tasks.

You can apply filters by resolution, aspect ratio, or image type.

Already over 66 thousand stars on 😁
https://github.com/firecrawl/firecrawl

👉  @DataScienceN

💣 China's Alibaba company has released a new competitor for Cursor and Windsurf!

👨🏻‍💻 Its name is Qoder, an AI IDE that thinks, plans, writes code, and executes it by itself so you can build software more easily.

✏️ Its interface is also very similar to Cursor; internal chat, code autocomplete, Agent Workflow, and support for MCP.

⬅️ What is Qoder's main focus? Context Engineering, and it is entirely built on that; meaning:

✅ It deeply understands the project, structure, and codebase.

✅ It builds persistent memory from past interactions.

✅ It assigns tasks to the best possible AI model by itself.

⬅️ Two impressive features that really stand out:

1⃣ Quest Mode
⬅️ You just write and hand over the project specifications or the task you want, then go on with your other work, and later you receive the results. That means asynchronous coding without you having to oversee it.

2⃣ Repo Wiki
⬅️ It automatically generates documentation, architectural explanations, and project structure for the entire project.

┌ 🥵 Qoder
├ 🌎 Website
└ 📄 Documentation

🌐 #Data_Science #DataScience
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https://news.1rj.ru/str/DataScienceN

🔰 New version of Colab; Data Scientists' Partner
🔃 Major update for Google Colab!

👨🏻‍💻 From now on, you have a real AI assistant inside your notebook, not just a code completion tool!

▶️ This AI assistant is directly integrated inside Colab and Colab Enterprise (within Vertex AI and BigQuery), and it basically acts like a teammate and coding partner.


🤖 What exactly does this AI assistant do for you?

1⃣ It handles the entire workflow by itself!
🏷 You just need to tell it the goal, for example: "Build a model that predicts people's income level based on a BigQuery table." Then it plans a multi-step program, cleans the data, creates features, builds the model, and trains it.

🔢 It writes code for every task!
🏷For example: it can create a chart, manage the cloud environment, perform causal analysis. You just have to ask.

🔢 It finds and fixes errors!
🏷 If a cell throws an error, it explains the cause, provides a corrected version of the code, and even shows a diff so you can approve it.

➖ ➖ ➖

🎯 What is its goal?

✅ Professionals work much faster.

✅ Beginners learn more easily.

✅ The entire data science process from idea to final model becomes faster, cleaner, and less error-prone.

➡️ AI First Colab Notebooks
➡️ AI First Colab Notebooks

🌐 #Data_Science #DataScience
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https://t.me/DataScienceN

🚀 AutoPilot — a free automation suite that replaces a dozen services at once

If you love tools that save time, money, and nerves — this is 100% for you.

This is an open-source panel on Python + Streamlit, packed with a whole arsenal of useful automations.

You open it — and it’s like gaining a superpower: doing everything faster.

What it can do:
🖼 Background Remover — removes photo backgrounds in a second.
🧾 QR Generator — creates QR codes for anything.
💻 Fake Data Generator — generates realistic test data.
🎧 Audiobook Converter — turns PDFs into audiobooks.
📥 YouTube Downloader — downloads video and audio.
💬 Bulk Email Sender — mass email sending.
📸 Image Downloader — searches and downloads images by keywords.
📝 Article Summarizer — creates well-written concise summaries.
📊 Resource Monitor — monitors your system resources.
🔍 Code Analyzer — checks code with Pylint and Flake8.
🧹 Clipboard Manager — stores clipboard history.
🔗 Link Checker — checks which links are alive.
📷 Image Editor — a mini-Photoshop: crop, blur, resize, watermark, formatting, and lots of effects.
🗞 News Reader — reads out current news.

And that’s just part of the list.

Why do you need this?
🟢 a ready set of utilities for developers, marketers, designers, or SMM;
🟢 huge time savings;
🟢 local, free, and without limits;
🟢 can be integrated into your projects, bots, or workflow.

⚡️ How to run (quickly)

git clone https://github.com/Ai-Quill/automated.git
cd automated
pip install -r requirements.txt
streamlit run app.py

🖥Open in your browser: http://localhost:8501

And enjoy the panel where all tools are just one click away.

♎️ GitHub/Instructions

#python #soft #github

https://news.1rj.ru/str/DataScienceN 🌟

Deepnote has released a new open notebook format that solves the old problems of Jupyter.

Instead of noisy JSON, now YAML with proper git diff. Support for Python and SQL in one file, shared project settings, new blocks for charts and SQL, proper teamwork and collaborative editing. Conversion from .ipynb in one step. Everything is open-source. 💃

Demo of Yann LeCun's convolutional neural network from 1989. Modern CNNs that we still use today are based on it.

It's amazing how far we've come since then 🌟

👉 https://news.1rj.ru/str/DataScienceN

If you love automating everything, this is for you

AutoPilot is an open-source panel built with #Python + #Streamlit, packed with a whole arsenal of useful automations.

Open it, and you have tools at your fingertips like background removal for photos, QR code generation, YouTube downloading, fake data creation, audiobooks, email sending, code analysis, image editing, and even a news reader.

One window instead of a dozen services. 🙂
https://github.com/Ai-Quill/automated


👉 https://news.1rj.ru/str/DataScienceN

🌆 RMBG

🛠️ RMBG is a new AI background removal model that significantly outperforms its counterparts.

🔰 It effectively separates the foreground and background for various types of images, providing high accuracy and commercial applicability.

🔗 Links:
https://github.com/Bria-AI/RMBG-2.0/

🏷️ Tags: #ai #imageeditor

https://news.1rj.ru/str/DataScienceN ⚡️

👨‍💻 Wren AI

🛠 Wren AI is an AI agent that allows users to request data in natural language and receive accurate SQL queries, charts, and analytical reports within seconds.

🔰 It provides capabilities for data interaction, insight generation, and includes a semantic layer that ensures the accuracy of conclusions.

🔰 API integration enables the creation of custom agents and chatbots.

🌟 The platform supports multiple databases and is compatible with various LLM models.

🔗 Links:
https://github.com/Canner/WrenAI

🖤Tags: #ai #agents #sql #llm