. . . 2698 4.3 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2701 4.3.1 About the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing changes . . . backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2752 4.11 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . 2698 4.3 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2701 4.3.1 About the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2719 4.3.4 Previewing changes . . . backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2752 4.11 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Python package providing Python. • pandas has been used extensively in production in financial applications. Note: This documentation assumes general familiarity with NumPy. If you haven’t used NumPy much or at all, do invest some question, pandas community experts can answer through Stack Overflow. Longer discussions occur on the developer mailing list, and commercial support inquiries for Lambda Foundry should be sent to: support@lambdafoundry

https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Python package providing Python. • pandas has been used extensively in production in financial applications. Note: This documentation assumes general familiarity with NumPy. If you haven’t used NumPy much or at all, do invest some question, pandas community experts can answer through Stack Overflow. Longer discussions occur on the developer mailing list, and commercial support inquiries for Lambda Foundry should be sent to: support@lambdafoundry

https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pystatsmodels pandas is a Python package providing Python. • pandas has been used extensively in production in financial applications. Note: This documentation assumes general familiarity with NumPy. If you haven’t used NumPy much or at all, do invest some question, pandas community experts can answer through Stack Overflow. Longer discussions occur on the developer mailing list, and commercial support inquiries for Lambda Foundry should be sent to: support@lambdafoundry

. . . 2620 4.3 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2623 4.3.1 About the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2640 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2640 4.3.4 Previewing changes . . . backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2673 4.11 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . 1085 29 Contributing to pandas 1125 29.1 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1125 30 Release Notes https://github.com/pydata/pandas/issues Q&A Support: http://stackoverflow.com/questions/tagged/pandas Developer Mailing List: http://groups.google.com/group/pydata pandas is a Python package providing fast, Python. • pandas has been used extensively in production in financial applications. Note: This documentation assumes general familiarity with NumPy. If you haven’t used NumPy much or at all, do invest some

. . . 2790 4.3 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2793 4.3.1 About the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2811 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2811 4.3.4 Previewing changes . . . backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2845 4.11 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . 2792 4.3 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2795 4.3.1 About the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2813 4.3.3 How to build the pandas documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2813 4.3.4 Previewing changes . . . backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2847 4.11 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2471 4.1.4 Contributing to the documentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2477 4.1.5 Contributing to the backends . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2531 4.8 Developer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . items . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2538 4.11 Developer meetings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2538