Contents 1 Tornado Documentation, Release 5.1.1 2 Contents CHAPTER 1 Quick links • Current version: 5.1.1 (download from PyPI, release notes) • Source (github) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • Twisted may be used with the classes in tornado.platform.twisted. yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: 14 Chapter 5. Documentation Tornado Documentation, Release

Contents 1 Tornado Documentation, Release 6.1 2 Contents CHAPTER 1 Quick links • Current version: 6.1 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • Twisted may be used with the classes in tornado.platform.twisted. a Future. 16 Chapter 6. Documentation Tornado Documentation, Release 6.1 Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

CONTENTS 1 Tornado Documentation, Release 6.0.4 2 CONTENTS CHAPTER ONE QUICK LINKS • Current version: 6.0.4 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • Twisted may be used with the classes in tornado.platform.twisted. yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

Contents 1 Tornado Documentation, Release 4.5.3 2 Contents CHAPTER 1 Quick links • Current version: 4.5.3 (download from PyPI, release notes) • Source (github) • Mailing lists: discussion and announcements clone the git repository as well. Prerequisites: Tornado runs on Python 2.7, and 3.3+ For Python 2, version 2.7.9 or newer is strongly recommended for the improved SSL support. In addition to the requirements package in the standard library. • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • Twisted may be used with the classes in tornado.platform.twisted.

and other applications that require a long-lived connection to each user. Quick links Current version: 4.5.3 (download from PyPI [https://pypi.python.org/pypi/tornado], release notes) Source (github) com/tornadoweb/tornado] as well. Prerequisites: Tornado runs on Python 2.7, and 3.3+ For Python 2, version 2.7.9 or newer is strongly recommended for the improved SSL support. In addition to the requirements pycurl [http://pycurl.sourceforge.net] is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. Twisted [http://www.twistedmatrix.com] may be used with the classes in

CONTENTS 1Tornado Documentation, Release 6.5.1 2 CONTENTSCHAPTER ONE QUICK LINKS • Current version: 6.5.1 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • pycares is an alternative non-blocking DNS resolver that can be used yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

CONTENTS 1 Tornado Documentation, Release 6.4 2 CONTENTS CHAPTER ONE QUICK LINKS • Current version: 6.4 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • pycares is an alternative non-blocking DNS resolver that can be used yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

CONTENTS 1 Tornado Documentation, Release 6.4 2 CONTENTS CHAPTER ONE QUICK LINKS • Current version: 6.4 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • pycares is an alternative non-blocking DNS resolver that can be used yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

CONTENTS 1 Tornado Documentation, Release 6.4 2 CONTENTS CHAPTER ONE QUICK LINKS • Current version: 6.4 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • pycares is an alternative non-blocking DNS resolver that can be used yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):

CONTENTS 1 Tornado Documentation, Release 6.3.3 2 CONTENTS CHAPTER ONE QUICK LINKS • Current version: 6.3.3 (download from PyPI, release notes) • Source (GitHub) • Mailing lists: discussion and announcements optional packages may be useful: • pycurl is used by the optional tornado.curl_httpclient. Libcurl version 7.22 or higher is required. • pycares is an alternative non-blocking DNS resolver that can be used yield expressions, and with the coroutine’s caller by returning a Future. Here is a simplified version of the coroutine decorator’s inner loop: # Simplified inner loop of tornado.gen.Runner def run(self):