Prompt
Best programming blogs for beginners / learners
Latest observation
For beginners and learners, the best programming blogs are those that combine clear explanations, runnable code, and project-based learning. Here’s a focused list you can actually keep up with.
Top all‑round beginner blogs
freeCodeCamp News
- Thousands of tutorials on web dev, Python, JavaScript, Git, data, and career advice.
- Very beginner-friendly, with step-by-step guides and complete projects.
- Best for: learning by doing and getting from “zero” to building real things.
DEV.to
- Community-driven platform where developers post tutorials, “how I built this”, and Q&A-style articles.
- Great for quick how-tos, diverse perspectives, and seeing many approaches to the same problem.
- Best for: daily reading, short tutorials, and community interaction.
In Plain English (and its language-specific pubs: Python/JavaScript In Plain English)
- Practical how-tos, explainers, and beginner paths in Python, JavaScript, and more.
- Mix of short tips and longer guides; many aimed at people transitioning into dev.
- Best for: approachable, real-world examples and publishing your own posts as you learn.
HackerNoon (Coding / JavaScript / Python collections)
- Large library of free posts on coding fundamentals, JS, Python, and project walkthroughs.
- Good curation via topic collections (e.g., “500 blog posts to learn about coding”).
- Best for: breadth of topics and project ideas.
Language- and topic-focused picks
Real Python (Python)
- Deep but clear tutorials on Python syntax, libraries, testing, and best practices.
- Better once you’re past absolute basics, but still very learner-friendly.
- Best for: going from “I know some Python” to “I can build solid projects”.
CSS-Tricks (frontend)
- Excellent for HTML/CSS, layout, animations, and frontend patterns.
- Many beginner-to-intermediate guides with live examples.
- Best for: frontend craft and modern CSS.
GeeksforGeeks (CS fundamentals + interview prep)
- Massive collection of articles on algorithms, data structures, and language basics.
- More academic tone, but extremely comprehensive.
- Best for: CS fundamentals, DSA, and interview-style practice.
How to use these without getting overwhelmed
- Pick one main blog (e.g., freeCodeCamp) as your “home base” for structured learning.
- Use DEV.to or In Plain English for daily/weekly reading and small tutorials.
- Add one language-specific blog (e.g., Real Python or CSS-Tricks) once you’ve chosen a focus.
- Treat engineering blogs from big tech companies as later-stage reading once you’re comfortable with basics.
If you tell me your current level and target (web dev, data, Python, JavaScript, etc.), I can narrow this to a “top 3 to follow right now” list and a simple weekly reading plan.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (6 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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