Package Management & Environment
📊 Progress Tracking
TABLE WITHOUT ID
"📈 Progress" as " ",
length(filter(file.tasks, (t) => t.completed)) + "/" + length(file.tasks) + " tasks" as "Completed",
round(length(filter(file.tasks, (t) => t.completed)) / length(file.tasks) * 100) + "%" as "Progress"
WHERE file.path = this.file.path📋 Module Overview
Managing Python packages and development environments
Prerequisites: Data Structures & Algorithms
🎯 Learning Objectives
- Master package managers
- Master conda environment
- Master project structure
📚 Tasks & Exercises
1. Package Managers
- Task 1.1: Master pip: install, uninstall, upgrade packages
- Task 2.2: Learn PyPI and package discovery
- Task 3.3: Understand requirements.txt and dependency management
- Task 4.4: Practice with virtual environments using venv
Practice: Complete practical exercises for package managers
2. Conda Environment
- Task 1.1: Learn Conda package and environment manager
- Task 2.2: Create and manage Conda environments
- Task 3.3: Understand conda vs pip differences
- Task 4.4: Practice with environment.yml files
Practice: Complete practical exercises for conda environment
3. Project Structure
- Task 1.1: Learn Python project organization best practices
- Task 2.2: Understand setup.py and pyproject.toml
- Task 3.3: Practice creating distributable packages
- Task 4.4: Learn about virtual environment best practices
Practice: Complete practical exercises for project structure
📖 Resources
Required Reading
Optional Materials
- Explore additional resources as needed
- Practice with real-world examples
- Join community discussions
✅ Completion Criteria
Mark this module complete when you can:
-
Successfully complete all package managers tasks
-
Successfully complete all conda environment tasks
-
Successfully complete all project structure tasks
-
Apply concepts in practical scenarios
-
Explain key concepts to others
📝 Notes Section
Use this space for your personal notes and insights while learning
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