#Python basics
118 related articles
·2 min
Python + AI Learning Roadmap for Beginners: A Complete Guide from Basics to Practice
New to Python and AI? This guide breaks down Linux, MySQL, and Python into clear learning modules with goals and benchmarks — helping beginners build a solid, executable roadmap from day one.
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·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.
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·3 min
AI-Driven Zero-Code Automated Testing: A Complete Path from Python Basics to Hands-On Practice
A detailed guide to AI-driven automated testing: from Python basics to PyTest, covering API automation, Playwright UI testing, and AI-assisted coding for beginners.
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Tutorials·2 min
Python Zero-to-Hero Systematic Tutorial: A Complete Guide from Basics to Real-World Projects
A detailed review of a complete Python beginner tutorial covering environment setup, core syntax, OOP, web scraping, office automation, and data analysis, with study tips and honest evaluation.
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·3 min
GitHub Daily · August 7: The Invisible Infrastructure of Identity Authentication and Open Knowledge
GitHub Trending Aug 7 highlights: authentik (open-source IAM), Google Guava (Java core library), and ChinaTextbook reveal growing demand for self-hosted identity, solid engineering foundations, and open knowledge infrastructure.
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·4 min
Robotics Engineer Self-Study Roadmap: A Complete 9-Phase Plan from Zero to Employment
In-depth analysis of a 9-phase robotics engineer self-study roadmap covering Linux, C++, ROS2, SLAM to autonomous navigation, with practical advice for self-learners.
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·3 min
The Complete Machine Learning Learning Roadmap: From Anxiety to Clarity
Overwhelmed by machine learning? This practical ML roadmap breaks the journey into three phases—math basics, classical ML, and deep learning—with mindset tips and project strategies for engineers.
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·3 min
Weak at ML Programming? A Complete Path to Breakthrough Through Systematic Practice
A systematic coding practice path for ML practitioners who 'understand theory but can't implement,' covering math basics to deep learning components with Deep-ML platform guidance.
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·3 min
Self-Learning NLP: A Complete Path from Zero to Practical Application
A complete self-learning path for NLP covering fundamentals, Transformer concepts, hands-on projects, and tools like Hugging Face to help developers master NLP without returning to school.
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·3 min
System Design Primer: An In-Depth Analysis of the 360K-Star System Design Study Guide on GitHub
In-depth analysis of the 360K-Star System Design Primer on GitHub, covering distributed system design fundamentals, interview case studies, and Anki flashcards to help you master large-scale architecture design.
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·4 min
From Zero to AI Engineer: A Real Growth Path from a Student's Resume
A CS student went from Python basics to model deployment in 3-4 months, building an AI portfolio through three real projects. This article breaks down the learning path, project value, and resume optimization strategies.
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·3 min
Transitioning from Public Health Academia to Data Science: A Practical Guide to Bridging the Industry Gap
How can public health researchers successfully transition to industry data science roles? A complete guide covering skill gap analysis, engineering upskilling, interview prep, and leveraging causal inference as a differentiator.
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·3 min
PyTorch vs TensorFlow: How Beginners Should Choose a Deep Learning Framework
Should deep learning beginners choose PyTorch or TensorFlow? This article compares both frameworks on research trends, ecosystem, and deployment, with practical switching advice.
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·3 min
Is a Linguistics-to-Computational Linguistics Master's Worth It? Career Prospects and Transition Advice
Is a linguistics-to-computational-linguistics master's worth it? This article analyzes career paths in computational linguistics in the AI era, the competitive advantages of a hybrid background, and practical advice for transitioning from humanities to NLP.
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·5 min
Learn AI Agent Development from Scratch: A 3-Step Practical Path to Get Started Quickly
How to learn AI Agent development from scratch? This article outlines a clear 3-step path: Python crash course, LLM theory & practice, and LangChain framework project implementation.
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·3 min
A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners
How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.
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·4 min
A Beginner's Guide to AI Agents: Core Principles and Learning Paths Explained
A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.
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·4 min
Underrated Self-Hosting Gems: A Roundup of Niche but Powerful Open-Source Tools
Discover underrated niche self-hosted open-source tools across bookmarks, passwords, document archiving, knowledge bases, and dashboards, with deployment tips.
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·4 min
Claude Code Tutorial: Environment Setup, Command Reference & Git Workflow in Practice
Complete guide to Claude Code covering CLI installation, domestic model switching, core commands, Git automation workflows, and automated code review and fix loops for enterprise projects.
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·2 min
A Complete Guide to Learning AI Agents from Scratch: From Beginner to Practice
A complete guide to learning AI Agents: from large model fundamentals and core technologies to hands-on projects. Systematically outlines beginner methods and exposes crash-course marketing traps.
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