(Webhooks) Routing Tasks Monitoring and Management Guide Security Optimizing Concurrency Signals Configuration and defaults Django Cookbook Contributing Community Resources Tutorials Frequently Asked Questions CouchDB Using Beanstalk First steps with Celery Choosing your Broker Creating a simple task Configuration Running the celery worker server Executing the task Where to go from here Resources Getting clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concurrency Concurrency

clustering and HA when used in combination with RabbitMQ. You can set up new workers without central configuration (e.g. use your grandma’s laptop to help if the queue is temporarily congested). Concur- rency routing model you can route tasks to different workers, or select different message topologies, by configuration or even at runtime. Remote- control Worker nodes can be controlled from remote by using broadcast Getting Started Celery Documentation, Release 2.5.5 1.2.1 Using RabbitMQ • Installation & Configuration • Installing the RabbitMQ Server – Setting up RabbitMQ – Installing RabbitMQ on OS X * Configuring

接下来思考如何满足实际业务上的需要 LEGO积木 22 Component: ExampleGen examples = csv_input(os.path.join(data_root, 'simple')) example_gen = CsvExampleGen(input_base=examples) Configuration Example Gen Raw Data Inputs Split TF Record Data Training Eval 23 Component: StatisticsGen statistics_gen = StatisticsGen(input_data=example_gen.outputs.examples) Configuration Visualization StatisticsGen Data ExampleGen 24 Component: SchemaGen SchemaGen Statistics StatisticsGen Inputs and Outputs Schema infer_schema = SchemaGen(stats=statistics_gen.outputs.output) Configuration Visualization 25 Component: ExampleValidator

will create a tutorial directory with the following contents: tutorial/ scrapy.cfg # deploy configuration file tutorial/ # project's Python module, you'll import your code from here __init__.py items favor of the standalone scrapyd-deploy. See Deploying your project.) 3.1.1 Configuration settings Scrapy will look for configuration parameters in ini-style scrapy.cfg files in standard locations: 1. /etc/scrapy URLs. custom_settings A dictionary of settings that will be overridden from the project wide configuration when running this spider. It must be defined as a class attribute since the settings are updated

will create a tutorial directory with the following contents: tutorial/ scrapy.cfg # deploy configuration file tutorial/ # project's Python module, you'll import your code from here __init__.py items favor of the standalone scrapyd-deploy. See Deploying your project.) 3.1.1 Configuration settings Scrapy will look for configuration parameters in ini-style scrapy.cfg files in standard locations: 1. /etc/scrapy URLs. custom_settings A dictionary of settings that will be overridden from the project wide configuration when running this spider. It must be defined as a class attribute since the settings are updated

will create a tutorial directory with the following contents: tutorial/ scrapy.cfg # deploy configuration file tutorial/ # project's Python module, you'll import your code from here __init__.py items favor of the standalone scrapyd-deploy. See Deploying your project.) 3.1.1 Configuration settings Scrapy will look for configuration parameters in ini-style scrapy.cfg files in standard locations: 1. /etc/scrapy URLs. custom_settings A dictionary of settings that will be overridden from the project wide configuration when running this spider. It must be defined as a class attribute since the settings are updated

will create a tutorial directory with the following contents: tutorial/ scrapy.cfg # deploy configuration file tutorial/ # project's Python module, you'll import your code from here __init__.py items favor of the standalone scrapyd-deploy. See Deploying your project.) 3.1.1 Configuration settings Scrapy will look for configuration parameters in ini-style scrapy.cfg files in standard locations: 1. /etc/scrapy URLs. custom_settings A dictionary of settings that will be overridden from the project wide configuration when running this spider. It must be defined as a class attribute since the settings are updated

direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching Anaconda.org. 4.1. User guide 11 and other RPM-based distributions, such as openSUSE, download the GPG key and add a repository configuration file for conda. 18 Chapter 4. Contributors welcome conda, Release 25.1.2.dev1 # Import our amd64 conda amd64 4.5.11-0 [76.3 MB] Fetched 76.3 MB in 10s (7733 kB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package conda. (Reading database

direct example, see Channel locations (channels) or read the entire Using the .condarc conda configuration file. � Tip Find more packages and channels by searching Anaconda.org. 4.1. User guide 11 and other RPM-based distributions, such as openSUSE, download the GPG key and add a repository configuration file for conda. 18 Chapter 4. Contributors welcome conda, Release 24.11.3.dev2 # Import our amd64 conda amd64 4.5.11-0 [76.3 MB] Fetched 76.3 MB in 10s (7733 kB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package conda. (Reading database

Signals See all available signals and how to work with them. Scheduler Understand the scheduler component. Item Exporters Quickly export your scraped items to a file (XML, CSV, etc). Components Learn tutorial directory with the following contents: tutorial/ scrapy.cfg # deploy configuration file tutorial/ # project's Python module, you'll import your code from here your project [https://scrapyd.readthedocs.io/en/latest/deploy.html].) Configuration settings Scrapy will look for configuration parameters in ini-style scrapy.cfg files in standard locations: 1. /etc/scrapy