Tutorials
Step-by-step tutorials for common CSA analysis workflows. These hands-on guides walk you through complete analysis scenarios, from data extraction to publication-ready results.
Note
All tutorials include downloadable configuration files and example datasets. Follow along with real data to master CSA workflows.
Getting Started Tutorials
Complete walkthrough of the five-stage CSA pipeline with a small organic dataset.
Learn to optimize configurations for different research scenarios and hardware.
Master the art of exploring and understanding CSA datasets.
Ensure reliable results through systematic data validation and filtering.
Domain-Specific Tutorials
Analyze drug polymorphs, co-crystals, and pharmaceutical relevant crystal packings.
Study molecular conformations, intermolecular interactions, and packing preferences.
Investigate porous materials, metal-organic frameworks, and solid-state properties.
Comprehensive polymorphism analysis including energy landscapes and packing similarity.
Advanced Analysis Tutorials
Apply ML techniques to crystal structure data for property prediction and clustering.
Advanced statistical methods for crystal structure datasets and hypothesis testing.
Compare crystal structures across different chemical families and conditions.
Develop your own analysis workflows and integrate with external tools.
Scale CSA analyses to HPC clusters and optimize for large datasets.
Specialized Workflows
Deep dive into molecular fragment properties and rigid body analysis.
Comprehensive analysis of hydrogen bonding patterns and networks.
Compute and interpret geometric and topological molecular descriptors.
Analyze intermolecular contacts, packing arrangements, and crystal engineering.
Tutorial Structure
Each tutorial follows a consistent structure for maximum learning efficiency:
- Learning Objectives
Clear goals for what you’ll achieve and learn
- Prerequisites
Required knowledge and software setup
- Dataset Description
Information about the example dataset used
- Step-by-Step Instructions
Detailed walkthrough with explanations
- Code Examples
Complete, runnable code snippets
- Results Interpretation
How to understand and validate your results
- Extensions
Ideas for further exploration and customization
- Troubleshooting
Common issues and solutions
Quick Start Recommendations
- New to CSA?
Start with Your First Analysis to understand the basic workflow
- Specific Research Goal?
Jump to the relevant domain-specific tutorial
- Performance Issues?
Check hpc_workflows for optimization strategies
- Custom Requirements?
Begin with custom_analysis for workflow development
Tutorial Downloads
All tutorials include downloadable resources:
- Configuration Files
Pre-configured JSON files for each tutorial scenario
- Example Datasets
Small datasets for following along with examples
- Analysis Scripts
Complete Python scripts for tutorial workflows
- Expected Results
Reference outputs for validation
# Download tutorial resources
wget https://csa-tutorials.readthedocs.io/downloads/tutorial_resources.zip
unzip tutorial_resources.zip
# Or clone from repository
git clone https://github.com/your-org/csa-tutorials.git
cd csa-tutorials
Tutorial Support
- Community Forum
Ask questions and share insights with other users
- GitHub Issues
Report tutorial problems and suggest improvements
- Documentation Updates
Tutorials are regularly updated with new features and best practices
- Video Walkthroughs
Selected tutorials include video demonstrations
Contributing Tutorials
Help expand the tutorial collection:
- Share Your Workflows
Submit successful analysis workflows as new tutorials
- Improve Existing Content
Suggest improvements and corrections via pull requests
- Domain Expertise
Contribute specialized tutorials for your research area
- Teaching Experience
Help improve tutorial pedagogy and clarity
# Contribute a new tutorial
git clone https://github.com/your-org/csa-documentation.git
cd csa-documentation/docs/source/tutorials
# Create new tutorial file
cp template_tutorial.rst my_tutorial.rst
# Edit and submit via pull request
Learning Paths
Structured learning sequences for different goals:
- Research Scientist Path
data_exploration
Domain-specific tutorial (pharmaceutical/organic/materials)
statistical_analysis
comparative_studies
- Computational Crystallographer Path
configuration_tutorial
geometric_descriptors
fragment_analysis
custom_analysis
- Data Scientist Path
data_exploration
machine_learning
statistical_analysis
hpc_workflows
- Software Developer Path
configuration_tutorial
custom_analysis
hpc_workflows
API reference sections
Contributing guidelines
Advanced Topics
Beyond basic tutorials, explore advanced capabilities:
- Integration Workflows
Combining CSA with external crystallographic software
Database integration and automated workflows
Cloud computing and containerization
- Method Development
Implementing new analysis algorithms
Custom descriptor development
Performance optimization techniques
- Educational Applications
Classroom exercises and assignments
Interactive notebooks and demonstrations
Assessment and evaluation methods
Feedback and Improvement
Tutorial quality depends on user feedback:
- Rate Tutorials
Help others find the most useful content
- Suggest Improvements
Identify unclear explanations or missing steps
- Request New Topics
Propose tutorials for your specific needs
- Share Success Stories
Let us know how tutorials helped your research
# Feedback form example
tutorial_feedback = {
"tutorial_name": "first_analysis",
"difficulty_rating": 4, # 1-5 scale
"clarity_rating": 5,
"usefulness_rating": 5,
"suggestions": "Include more visualization examples",
"would_recommend": True
}
Getting Help
If you encounter issues with tutorials:
Check Prerequisites: Ensure all software requirements are met
Verify Data: Confirm tutorial datasets are correctly downloaded
Review Error Messages: Check CSA logs for specific error details
Search Documentation: Look for solutions in troubleshooting sections
Ask the Community: Post questions in forums or issue trackers
Contact Support: Reach out for direct assistance when needed