Bodo

Version 2021.5

• 1. Overview
• 2. Installation
  • 2.1. Testing your Installation
  • 2.2. Installing Conda
  • 2.3. Optional Dependencies
  • 2.4. Bodo Enterprise Edition
• 3. Getting Started
  • 3.1. Parallel Pandas with Bodo
  • 3.2. Memory Optimizations in Bodo
  • 3.3. Unsupported Pandas/Python Features
• 4. User Guide
  • 4.1. Bodo Basics
  • 4.2. Data Distribution
  • 4.3. Parallel I/O
  • 4.4. Advanced Features
  • 4.5. Troubleshooting
  • 4.6. Nullable Integers in Pandas
  • 4.7. Checking NA Values
  • 4.8. Regular Expressions using re
  • 4.9. Class Support using @jitclass
• 5. Bodo Cloud Platform
  • 5.1. Registration
  • 5.2. Setting AWS Credentials
  • 5.3. Creating Clusters
  • 5.4. Attaching a Notebook to a Cluster
  • 5.5. Connecting to a Cluster
  • 5.6. Running a Job
  • 5.7. Resources Created in Your AWS Environment
  • 5.8. AWS Account Cleanup
  • 5.9. Troubleshooting
  • 5.10. Billing
• 6. File I/O
  • 6.1. Supported formats
  • 6.2. Input array types
  • 6.3. File Systems
• 7. Supported Pandas Operations
  • 7.1. Data Types
  • 7.2. Input/Output
  • 7.3. General functions
  • 7.4. Series
  • 7.5. DataFrame
  • 7.6. Index objects
  • 7.7. Timestamp
  • 7.8. Timedelta
  • 7.9. Window
  • 7.10. GroupBy
  • 7.11. Offsets
  • 7.12. Integer NA issue in Pandas
  • 7.13. User-Defined Functions (UDFs)
  • 7.14. Type Inference for Object Data
• 8. Supported Numpy Operations
  • 8.1. Numpy dot() Parallelization
• 9. Supported Machine Learning
  • 9.1. Supported Scikit-learn
  • 9.2. Supported XGBoost
• 10. Deep Learning
  • 10.1. Prerequisites
  • 10.2. How it works
  • 10.3. API
  • 10.4. Example
• 11. Data Visualization
  • 11.1. Plotting APIs
  • 11.2. Formatting APIs
  • 11.3. Matplotlib Classes
  • 11.4. Working with Unsupported APIs
• 12. Caching
  • 12.1. Caching Example
  • 12.2. Cache Location and Portability
  • 12.3. Cache Invalidation
  • 12.4. Tips for Reusing the Cache
  • 12.5. Current Caching Limitations
• 13. Unsupported Python Programs
  • 13.1. Type Stability
  • 13.2. Unsupported Python Constructs
• 14. Advanced Parallelism Topics
  • 14.1. Getting/Setting Distributed Data Directly
  • 14.2. Concatenation Reduction
  • 14.3. Load Balancing Distributed Data
• 15. Performance Measurement
  • 15.1. Disabling JIT Compilation
  • 15.2. Expected Speedup
• 16. Compilation Tips and Troubleshooting
  • 16.1. Compilation Tips
  • 16.2. Compilation Errors
  • 16.3. Type Instability Errors
  • 16.4. Troubleshooting Compilation Errors
  • 16.5. Common compilation/runtime errors
  • 16.6. Requesting Unsupported Functionality and Reporting Errors
• 17. Migration from Spark
  • 17.1. pyspark.sql.DataFrame
  • 17.2. pyspark.sql.functions
• 18. Bodo SQL
  • 18.1. Using Bodo SQL
  • 18.2. SQL to Pandas Conversion
  • 18.3. Supported Operations
• 19. Jupyter Notebook Setup
• 20. Interactive Bodo Cluster Setup using Ipyparallel
  • 20.1. Prerequisites
  • 20.2. Starting ipyparallel cluster
  • 20.3. Verify setup
  • 20.4. Bodo example
• 21. Real-time Video Encoding on FPGAs
• 22. Release Notes
• 23. End User License Agreement
• 24. Previous Release Documentation

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