Getting started
User Guide
API reference
Development
Release notes
GitHub
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Contributing to pandas
Creating a development environment
Contributing to the documentation
pandas docstring guide
Contributing to the code base
pandas maintenance
Internals
Debugging C extensions
Extending pandas
Developer
Policies
Roadmap
Contributor community
Development
ΒΆ
Contributing to pandas
Where to start?
Bug reports and enhancement requests
Working with the code
Contributing your changes to pandas
Tips for a successful pull request
Creating a development environment
Step 1: install a C compiler
Step 2: create an isolated environment
Step 3: build and install pandas
Contributing to the documentation
About the pandas documentation
Updating a pandas docstring
How to build the pandas documentation
Previewing changes
Contributing to the code base
Code standards
Pre-commit
Optional dependencies
Backwards compatibility
Type hints
Testing with continuous integration
Test-driven development
Running the test suite
Running the performance test suite
Documenting your code
pandas maintenance
Roles
Tasks
Issue triage
Closing issues
Reviewing pull requests
Backporting
Cleaning up old issues
Cleaning up old pull requests
Becoming a pandas maintainer
Merging pull requests
Benchmark machine
Release process
Internals
Indexing
Subclassing pandas data structures
Debugging C extensions
Using a debugger
Checking memory leaks with valgrind
Extending pandas
Registering custom accessors
Extension types
Subclassing pandas data structures
Plotting backends
Developer
Storing pandas DataFrame objects in Apache Parquet format
Policies
Version policy
Python support
Roadmap
Extensibility
String data type
Consistent missing value handling
Apache Arrow interoperability
Block manager rewrite
Decoupling of indexing and internals
Numba-accelerated operations
Performance monitoring
Roadmap evolution
Completed items
Contributor community
Community meeting
New contributor meeting
Calendar
GitHub issue tracker
The developer mailing list
Community slack
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