Batterii/webobtoolkit. An Introduction to boto’s EC2 interface — boto v2.6.0-dev. This tutorial focuses on the boto interface to the Elastic Compute Cloud from Amazon Web Services. This tutorial assumes that you have already downloaded and installed boto. Creating a Connection The first step in accessing EC2 is to create a connection to the service. The recommended way of doing this in boto is: >>> import boto.ec2>>> conn = boto.ec2.connect_to_region("us-west-2",... aws_access_key_id='<aws access key>',... aws_secret_access_key='<aws secret key>') At this point the variable conn will point to an EC2Connection object. In this example, the AWS access key and AWS secret key are passed in to the method explicitly. >>> conn = boto.ec2.connect_to_region("us-west-2") In either case, conn will point to an EC2Connection object which we will use throughout the remainder of this tutorial.
Launching Instances Possibly, the most important and common task you’ll use EC2 for is to launch, stop and terminate instances. >>> conn.run_instances('<ami-image-id>') Stopping Instances EBS Basics. Python Excel. s3file 1.1. Read and write to Amazon S3 using a file-like object Read and write files to S3 using a file-like object. Refer to S3 buckets and keys using full URLs. The underlying mechanism is a lazy read and write using cStringIO as the file emulation. This is an in memory buffer so is not suitable for large files (larger than your memory). As S3 only supports reads and writes of the whole key, the S3 key will be read in its entirety and written on close. Starting from release 1.2 this read and write are deferred until required and the key is only read from if the file is read from or written within and only updated if a write operation has been carried out on the buffer contents.
More tests and docs are needed. Basic usage: from s3file import s3open f = s3open(" f.write("Lorem ipsum dolor sit amet... ") f.close() with statement: with s3open(path) as remote_file: remote_file.write("blah blah blah") Other parameters to s3open include: expiration_days private create. Python. Python API released for Trackerbird Software Analytics. We are pleased to announce the release of a new Trackerbird Software Analytics SDK for Python developers. Python developers can now benefit from this new Python API to track any application running on MS Windows. The Python API is compatible with CPython version 2.5 onwards as long as the distribution provides ctypes. Just like our .NET and C++ APIs, by integrating Trackerbird in your Python applications, you will get access to real-time Software Analytics and Runtime Intelligence reports by which you will know how users are engaging with your software and which features are being used.The API also gives you access to Trackerbird’s ReachOut™ in-app marketing framework which can be used to deliver direct-to-desktop messages or surveys to end-users running your software.
The API contains an inbuilt License key validation service as well as a check-for-updates service that is backed up by Trackerbird’s cloud servers. API Documentation Changelog.