Enhance learning in public and leaderboard documentation

- Add comprehensive learning in public guide with templates, examples,
  and tips for going beyond templates
- Add Alexey's Agents Crash Course posts as real examples
- Explain extra points motivation and optional nature
- Add quick video recording options for all platforms
- Link homework, learning in public, FAQ, and projects from leaderboard
- Add anonymous by default section with profile edit form
- Reduce code block line-height for better readability
- Add DE Zoomcamp course image to index page
- Remove general learning in public page (keep DE-specific only)

Author: alexeygrigorev

_sass/custom/custom.scss

@@ -176,12 +176,22 @@ p, li, h1, h2, h3, h4, h5, h6 {
   .page-toc-inner {
     background-color: #2d333b;
   }
-  
+
   .toc-link {
     color: #adbac7;
-    
+
     &:hover {
       color: $link-color;
     }
   }
 }
+
+// Reduce line height in code blocks
+.highlight pre,
+.highlight .table-wrapper pre,
+.highlight .table-wrapper td pre,
+.highlight code,
+pre.highlight,
+pre code {
+  line-height: 1.5 !important;
+}

assets/images/course-management-platform/learning-in-public-links.png

@@ -35,7 +35,7 @@ The homework submission form includes:
 You can earn additional leaderboard points beyond homework answers:
 
 - FAQ contributions - Share valuable insights from your learning journey. Accepted entries are added to the [Course FAQ]({{ '/courses/faq/' | relative_url }}) and earn points.
-- Learning in public - Share your progress on social media and submit the link. See [Learning in Public]({{ '/general/learning-in-public/' | relative_url }}) for guidance.
+- Learning in public - Share your progress on social media and submit the link.
 
 ## How It Works
 

assets/images/data-engineering-zoomcamp/de-zoomcamp-2025.jpg

@@ -9,13 +9,11 @@ has_children: true
 
 # Data Engineering Zoomcamp 2026
 
-Data Engineering Zoomcamp returns for its 5th edition. It's a free, intensive course designed to take you from data engineering fundamentals to building production-grade data pipelines.
-
-The course is run by DataTalks.Club, a community dedicated to AI and Data education.
+Data Engineering Zoomcamp returns for its 5th edition. It's a free, intensive course designed to take you from data engineering fundamentals to building production-grade data pipelines. It's run by [DataTalks.Club](https://datatalks.club), a community dedicated to AI and Data education.
 
 The course runs for 10 weeks: 7 weeks of modules plus 3 weeks for the final project. You'll learn to build production-grade data pipelines from scratch using industry-standard tools.
 
-You'll learn to build production-grade data pipelines from scratch using industry-standard tools like Docker, Terraform, Kestra, BigQuery, dbt, Spark, Kafka, and Flink. The course covers containerization, workflow orchestration, data warehousing, analytics engineering, batch and stream processing.
+<img src="{{ '/assets/images/data-engineering-zoomcamp/de-zoomcamp-2025.jpg' | relative_url }}" alt="Data Engineering Zoomcamp" width="80%">
 
 See the [full curriculum](curriculum/) for detailed module information.
 

assets/images/data-engineering-zoomcamp/enrollment-profile.png

@@ -8,7 +8,7 @@ has_children: false
 
 # Deadlines & Schedule
 
-For the most up-to-date curriculum, visit the [GitHub repository](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main) or see the [GitHub resources page]({{ '/courses/data-engineering-zoomcamp/resources/github/' | relative_url }}) for the repository structure.
+For the most up-to-date curriculum, visit the [GitHub repository](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main) or see the [GitHub resources page]({{ '/courses/data-engineering-zoomcamp/resources/github/' | relative_url }}) for documentation about the repository structure.
 
 The course content is delivered through multiple formats:
 
@@ -27,56 +27,3 @@ For the 2026 cohort schedule, homework deadlines, and important dates, visit the
 <img src="{{ '/assets/images/data-engineering-zoomcamp/cmp-schedule.png' | relative_url }}" alt="Course schedule on the management platform" width="80%">
 
 This is where we keep all deadlines for homework submissions, project milestones, peer review periods, office hours schedules, and important course announcements.
-
-## Module Details
-
-### Module 1: Docker & Infrastructure (Weeks 1-2)
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/01-docker-terraform)
-
-The foundational module gets you set up with:
-- Google Cloud Platform account ($300 free credits available for new accounts)
-- Running PostgreSQL in Docker
-- Terraform for infrastructure-as-code
-- Basic SQL on taxi data
-
-This module gets two weeks because environment setup can be challenging.
-
-### Module 2: Workflow Orchestration
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/02-workflow-orchestration)
-
-Learn to make your pipelines reliable using Kestra, a workflow orchestrator. You'll transform manual scripts into automated, scheduled workflows.
-
-### Module 3: Data Warehousing with BigQuery
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/03-data-warehouse)
-
-Best practices for organizing data in BigQuery, a modern cloud data warehouse.
-
-### Workshop: Data Ingestion with dltHub
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/cohorts/2025/workshops/dlt)
-
-A hands-on workshop covering the dltHub (Data Loading Tool) for efficient data ingestion pipelines.
-
-### Module 4: Analytics Engineering with dbt
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/04-analytics-engineering)
-
-dbt (Data Build Tool) enables you to:
-- Transform data using SQL
-- Chain multiple queries together
-- Build reliable data transformations
-
-### Module 5: Apache Spark
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/05-batch)
-
-Distributed batch processing for large-scale data using PySpark.
-
-### Module 6: Stream Processing
-
-[View on GitHub](https://github.com/DataTalksClub/data-engineering-zoomcamp/tree/main/06-streaming)
-
-Apache Kafka and Apache Flink for real-time stream processing.

assets/images/data-engineering-zoomcamp/linkedin-success-story.png

@@ -8,7 +8,7 @@ has_children: false
 
 # Homework & Quizzes
 
-Each module has a homework assignment with multiple-choice questions. Submit answers through the Course Management Platform.
+Each module has a homework assignment with multiple-choice questions. Submit answers through the [Course Management Platform]({{ '/courses/course-management-platform/' | relative_url }}).
 
 <img src="{{ '/assets/images/data-engineering-zoomcamp/launch/course-platform.jpg' | relative_url }}" alt="Course platform homework interface" width="80%">
 

courses/course-management-platform/homework.md

@@ -10,11 +10,26 @@ has_children: false
 
 A gamified element where students earn points for:
 
-- Correct homework answers (+1 point each)
-- Learning in public links (+1 point each)
-- FAQ contributions (+1 point each)
-- Project completion
+- Correct [homework]({{ '/courses/data-engineering-zoomcamp/logistics/homework/' | relative_url }}) answers (+1 point each)
+- [Learning in public]({{ '/courses/data-engineering-zoomcamp/logistics/learning-in-public/' | relative_url }}) links (+1 point each)
+- [FAQ]({{ '/courses/faq/' | relative_url }}) contributions (+1 point each)
+- [Project]({{ '/courses/data-engineering-zoomcamp/logistics/projects/' | relative_url }}) completion
 
 <img src="{{ '/assets/images/data-engineering-zoomcamp/launch/leaderboard.jpg' | relative_url }}" alt="Student leaderboard" width="80%">
 
 The leaderboard creates friendly competition and encourages consistent participation throughout the course.
+
+This is totally optional. The leaderboard is just for fun. You can completely ignore it and still get everything you need from this course. The main goal is for you to learn data engineering.
+
+## Anonymous by Default
+
+Your leaderboard entry is anonymous by default. You're assigned an auto-generated name so others don't know who you are. If you want to be visible, you can choose to:
+
+- Use your real name instead of the generated one
+- Add links to your social media profiles (LinkedIn, GitHub, etc.)
+- Write a short bio
+
+People at the top of the leaderboard do get noticed. If you want to convert this attention into new opportunities (job offers, collaborations, networking), you can update your [enrollment profile](https://courses.datatalks.club/de-zoomcamp-2026/enrollment).
+
+<img src="{{ '/assets/images/data-engineering-zoomcamp/enrollment-profile.png' | relative_url }}" alt="Profile edit form" width="80%">
+