Python Guide
An educational resource for Python job-interview prep: questions and topics.
- Next.js
- MDX
- Education
- Собеседования
Task
The client needed a handy Python interview-prep reference that ranks well in search. We discussed the audience — candidates at different levels — and how topic navigation should be structured. We set the priority on content structure and technical SEO.
Solution
We designed the material structure around interview topics and agreed on the presentation before filling it in. We built the site on Next.js and MDX with thoughtful markup, clean URLs, and technical SEO. As content grew, we checked indexing and metadata correctness.
Result
The resource shows growing organic traffic and stable search rankings. The material is convenient to use while preparing, and the structure expands easily with new topics.
Approach & decisions
The key parts were organizing a large volume of learning material and the technical SEO that search visibility depends on. We thought through the topic structure and the links between topics so users could move through the reference easily. We tuned markup and metadata so pages indexed correctly and looked good in results.
How we ran the project
- 01
Discussion & requirements
We get on a call with the client, map the goals, audience and constraints, and fix the scope of work.
- 02
Planning
We work out the structure, user scenarios and architecture, and choose technologies that fit the task.
- 03
Prototype in code
We build a working prototype directly in code and align the interface on a live version — not on static mockups.
- 04
Development
We write code in iterations, show progress regularly and keep the client in the loop.
- 05
Testing & launch
We test across devices and scenarios, then roll out to production.
- 06
Support & growth
We stay in touch, maintain the product and keep developing it further.
Technologies
- Next.js
- MDX
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