#Jupyter Notebook
119 related articles
·5 min
Python Learning Roadmap for Beginners: A Three-Stage System to Avoid 90% of Detours
Learning Python from scratch? This article breaks down the three learning stages—Fundamentals, Intermediate, and Practice—covering variables, OOP, scraping, and data analysis to help you plan a systematic Python path.
Read more →
·7 min
Learning Python from Scratch: A Complete Guide to the Three-Stage Learning Path
Want to learn Python from scratch but don't know where to begin? This article breaks down three stages—basic syntax, advanced mastery, and hands-on practice—with real projects in crawling, automation, and data analysis to help you build programming thinking.
Read more →
·7 min
DryFox v0.3.3: AI Agent Team Collaboration + Composable UI Panels Explained
In-depth look at DryFox v0.3.3's three core features: multi-role agent team collaboration, one-click reusable team templates, and block-style composable UI panels. With Stop Hook, file mailbox comms, and hot-reload plugins.
Read more →
·2 min
Getting Started with LLMs: A Complete Roadmap from Zero to Practice
How to learn LLMs from scratch? This guide covers personalized learning paths for 3 types of learners, hardware tips (16GB RAM is enough), Python prep, and cloud GPU options.
Read more →
·2 min
Andrew Ng Partners with Anthropic: A Deep Dive into the Claude Code Practical Course
Andrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data dashboards, and Figma-to-frontend projects, with Git Worktrees and MCP server orchestration.
Read more →
·7 min
AI Agent Code Execution Sandbox Selection Guide: In-Depth Comparison of E2B and Four Other Solutions
In-depth comparison of five AI Agent code execution sandbox solutions—E2B, Daytona, Modal, Cloudflare Sandbox, and Vercel Sandbox—across isolation, cold start latency, state management, and pricing.
Read more →
·3 min
A Complete Guide to Learning Python from Scratch: From Basics to Web Scraping Projects
A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.
Read more →
·3 min
Python Self-Study Roadmap: A Three-Phase Learning Method from Zero to Hands-On Projects
A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.
Read more →
·3 min
Learn Python from Scratch: A Three-Phase Systematic Learning Path and Practical Guide
How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.
Read more →
From a Single Prompt to an AI Product:…
·3 min
From a Single Prompt to an AI Product: Starting Is Easy, Shipping Is Hard
AI startups begin with a prompt, but going from idea to product means overcoming major technical, product, and business challenges. A low barrier to entry doesn't mean a low barrier to success.
Read more →
·3 min
Paseo: A Unified Cockpit for Remotely Controlling Coding Agents from Your Phone
Paseo is a locally deployed remote console for coding Agents, enabling mobile monitoring of Claude Code, Codex, Copilot and more. Learn about its architecture, use cases, and security considerations.
Read more →
·3 min
AI Scientist: A Deep Dive into Sakana AI's Automated Research Framework
Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.
Read more →
·3 min
Core Insights from Andrew Ng's Prompt Engineering Course: From Fundamentals to Practice
Deep dive into Andrew Ng's ChatGPT Prompt Engineering course: Base vs. Instruction Tuned LLMs, two core prompting principles, and practical developer methodologies.
Read more →
·3 min
Python Excel Automation in Practice: Data Filtering and Categorization with Pandas
Learn how to use Python Pandas to automate Excel data filtering and categorization. Core code is just 6-8 lines — handle massive datasets effortlessly.
Read more →
·2 min
Interactive Essays: A New Content Creation Paradigm Worth Diving Into
Interactive essays blend text with visualizations and simulators for active learning. Explore their definition, cognitive science benefits, AI-era opportunities, and how to get started.
Read more →
·3 min
Andrew Ng and Anthropic's Definitive Claude Code Tutorial: A Deep Dive
Andrew Ng and Anthropic launch a Claude Code course covering context management, parallel sessions, MCP server integration, and hands-on projects in RAG, data analysis, and Figma-to-code conversion.
Read more →
·2 min
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
Read more →
·3 min
Zed Editor Hands-On: 6x Faster Startup — A Lightweight Alternative for AI Coding on Older Hardware
Real-world comparison of Zed vs Cursor: startup speed, memory usage, and AI coding experience. Built in Rust, Zed launches in 3 seconds with minimal RAM usage — ideal for developers with limited hardware.
Read more →
·3 min
OpenAI Codex Data Analytics Plugin in Practice: The Complete Workflow from Data Collection to Report Delivery
Deep dive into OpenAI Codex's Data Analytics Plugin: cross-system data integration, smart chart generation, data provenance, and Google Slides export reshaping analytics workflows.
Read more →
·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
Read more →