programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries such as cjson or simplejson. The primary disadvantage to JSON is that it limits project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - manage hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries such as cjson or simplejson. The primary disadvantage to JSON is that it limits project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON is that it limits you to library (called an “app”) 212 Chapter 2. Contents Celery Documentation, Release 4.0.0 If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - manage hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/]. The primary disadvantage project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/]. The primary disadvantage project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON is that it limits you to project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - manage.py - proj/ - __init__.py - settings.py - urls.py hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON is that it limits you to project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - manage hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson [https://pypi.python.org/pypi/simplejson/]. The primary disadvantage project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - manage.py - proj/ - __init__.py - settings.py hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON is that it limits you to library (called an “app”) 212 Chapter 2. Contents Celery Documentation, Release 4.0.0 If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - manage hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers

programming languages, is now a standard part of Python (since 2.6), and is fairly fast to decode using the modern Python libraries, such as simplejson. The primary disadvantage to JSON is that it limits you to project you must first define an instance of the Celery library (called an “app”) If you have a modern Django project layout like: - proj/ - proj/__init__.py - proj/settings.py - proj/urls.py - manage hard to imagine, especially considering code reuse as the established way to combat complexity in modern software development, and that the cost of adding dependencies is very low now that package managers