discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 the following data (in- cluding dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

location. This is especially true 3.2. Getting Started 25 Celery Documentation, Release 4.3.0 for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 the following data (in- cluding dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 the following data (in- cluding dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 the following data (in- cluding dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to

discouraged. It is much better to keep these in a centralized location. This is especially true for libraries, as it enables users to control how their tasks behave. A centralized configuration will also allow 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 to JSON types (including dates, recursive references, etc.). However, the Python libraries for YAML are a good bit slower than the libraries for JSON. If you need a more expressive set of data types and need to