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Categories

Browse articles by major subject areas and educational domains.

Categories organize content by broad subject areas, making it easier to find related material across various technical domains. This taxonomic approach helps both casual readers and serious learners navigate the site efficiently.

Primary Categories
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The content on PlanetMilav is organized into these major categories:

CategoryDescriptionTarget Audience
Embedded SystemsMicrocontroller programming, hardware design, firmware development, and real-time systemsEngineering students, hobbyists, professionals
ProgrammingTutorials, best practices, and project examples in various programming languagesBeginners to advanced programmers
Data ScienceStatistical analysis, machine learning, data visualization, and practical applicationsStudents, researchers, data enthusiasts
ElectronicsCircuit design, component selection, PCB layout, and electronic principlesElectronics students, makers, engineers
EducationTeaching methodologies, student resources, and academic guidanceStudents, educators, lifelong learners
Technical GuidesStep-by-step procedures, troubleshooting, and reference materialsPractitioners, technicians, implementers

Category Features
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Each category section includes:

  • Foundational content for beginners new to the subject
  • Intermediate topics for those advancing their knowledge
  • Advanced material for experienced practitioners
  • Project examples demonstrating practical applications
  • Resource listings for further learning

How to Use Categories
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Categories provide a structured way to explore the site:

  1. Browse by domain - Start with a broad category that matches your area of interest
  2. Narrow your focus - Use subcategories or tags to find more specific content
  3. Follow learning paths - Some categories offer suggested sequences for progressive learning
  4. Discover connections - Explore how different categories relate to and complement each other

The category system complements the tag system, with categories representing broader domains while tags identify specific technologies, concepts, or applications within those domains.

Subject Area Expertise
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While all categories contain thoroughly researched content, these areas represent primary domains of expertise:

  • Embedded systems and microcontroller programming
  • Electronics design and troubleshooting
  • Data analysis and machine learning applications
  • Technical education and teaching methodologies

Content in other categories is developed through ongoing learning, professional development, and collaboration with subject matter experts.


Categories are periodically reviewed and updated to reflect evolving technical domains and to improve content organization. If you have suggestions for new categories or reorganization, please share them.