great with async libraries like gevent Minimal attack surface for writing secure APIs 100% code coverage with a comprehensive test suite Only depends on six and mimeparse Python 2.6, 2.7, 3.3, 3.4 + PyPy please ensure you have added new tests and updated existing ones as appropriate. We require 100% code coverage. Also, please ensure your coding style follows PEP 8 and doesn’t make pyflakes sad. Additional Resource responders set response variables to sane values. 2. Your code is well-tested, with high code coverage. 3. Errors are anticipated, detected, and handled appropriately within each responder and with

great with async libraries like gevent Minimal attack surface for writing secure APIs 100% code coverage with a comprehensive test suite Only depends on six and mimeparse Supports Python 2.6, 2.7, 3.3 major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Six and mimeparse are the only third-party dependencies. Flexible. Falcon leaves testable. Tip Checking code coverage [https://coverage.readthedocs.io/] would have helped us detect the missing test above; it’s always a good idea to include coverage testing in your workflow to ensure

with async libraries like gevent • Minimal attack surface for writing secure APIs • 100% code coverage with a comprehensive test suite • No dependencies on other Python packages • Supports Python 3 major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews more flexible and testable. Tip: Checking code coverage would have helped us detect the missing test above; it’s always a good idea to include coverage testing in your workflow to ensure you don’t have

great with async libraries like gevent Minimal attack surface for writing secure APIs 100% code coverage with a comprehensive test suite Only depends on six and mimeparse Supports Python 2.6, 2.7, 3.3 Resource responders set response variables to sane values. 2. Your code is well-tested, with high code coverage. 3. Errors are anticipated, detected, and handled appropriately within each responder and with testable. Tip Checking code coverage [https://coverage.readthedocs.io/] would have helped us detect the missing test above; it’s always a good idea to include coverage testing in your workflow to ensure

great with async libraries like gevent Minimal attack surface for writing secure APIs 100% code coverage with a comprehensive test suite Only depends on six and mimeparse Supports Python 2.6, 2.7, 3.3 please ensure you have added new tests and updated existing ones as appropriate. We require 100% code coverage. Also, please ensure your coding style follows PEP 8 and doesn’t make pyflakes sad. Additional Resource responders set response variables to sane values. 2. Your code is well-tested, with high code coverage. 3. Errors are anticipated, detected, and handled appropriately within each responder and with

major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews more flexible and testable. Tip: Checking code coverage would have helped us detect the missing test above; it’s always a good idea to include coverage testing in your workflow to ensure you don’t have input from an external client or service) is validated. 3. Your code is well-tested, with high code coverage. 4. Errors are anticipated, detected, logged, and handled appropriately within each responder or

major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews more flexible and testable. Tip: Checking code coverage would have helped us detect the missing test above; it’s always a good idea to include coverage testing in your workflow to ensure you don’t have input from an external client or service) is validated. 3. Your code is well-tested, with high code coverage. 4. Errors are anticipated, detected, logged, and handled appropriately within each responder or

Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews

Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews

Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting Resource(s) Running Our Application Dynamic Thumbnails Caching Responses Testing Our Application Code Coverage What Now? Recipes Capitalizing Response Header Names Parsing Nested Multipart Forms Outputting major version increment. The code is rigorously tested with numerous inputs and we require 100% coverage at all times. Falcon does not depend on any external Python packages. Debuggable. Falcon eschews