ðelcome Amazon Prime Member ðour Name Came Up For a Amazon Shopper Gift Worth 5O$ - ð
¿lease Affirm Your Reward Worth 5O.OO$ Here http://omnifeat.net/qs=r-adhgiajdiebhbcahibkhbacfgjjhdaccffgabahicicabackahfaccackgaccejadbjggacb
ð
²laim Your Reward ==> http://omnifeat.net/qs=r-adhgiajdiebhbcahibkhbacfgjjhdaccffgabahicicabackahfaccackgaccejadbjggacb
ðou may unsubscribe at any time : http://omnifeat.net/qs=ua-adhgiajdiebhbcahibkhbacfgjjhdaccffgabahicicabackahfaccackgaccejadbjggacb
ðo unsubscribe please go http://omnifeat.net/qs=op-adhgiajdiebhbcahibkhbacfgjjhdaccffgabahicicabackahfaccackgaccejadbjggacb or send mail to: COUPON INCENTIVES 2601 S.LEMAY .140 FORT COLLINS CO, 80525 US
Your HITASK (https://hitask.com) account trial ends soon Dear eren nele, There are only 3 days left before your trial comes to an end. You'll no longer have access to all Team Business account features: Selective Sharing, Customization, Reports, Unlimited History, Task Numbers. Don't wait until it's too late and upgrade to Team Business! Upgrade Now (http://hitask.com/renewaccount) - The Hitask Team HITASK (https://hitask.com) - Task management is easy (https://hitask.com) Have questions? Support Is Here! (http://community.hitask.com) This article explains the new features in Python 2.7. Python 2.7 was released on July 3, 2010. Numeric handling has been improved in many ways, for both floating-point numbers and for the Decimal class. There are some useful additions to the standard library, such as a greatly enhanced unittest module, the argparse module for parsing command-line options, convenient OrderedDict and Counter classes in the collections module, and many other improvements. Python 2.7 is planned to be the last of the 2.x releases, so we worked on making it a good release for the long term. To help with porting to Python 3, several new features from the Python 3.x series have been included in 2.7. This article doesnât attempt to provide a complete specification of the new features, but instead provides a convenient overview. For full details, you should refer to the documentation for Python 2.7 at https://docs.python.org. If you want to understand the rationale for the design and implementation, refer to the PEP for a particular new feature or the issue on https://bugs.python.org in which a change was discussed. Whenever possible, « Whatâs New in Python » links to the bug/patch item for each change. The Future for Python 2.x Python 2.7 is the last major release in the 2.x series, as the Python maintainers have shifted the focus of their new feature development efforts to the Python 3.x series. This means that while Python 2 continues to receive bug fixes, and to be updated to build correctly on new hardware and versions of supported operated systems, there will be no new full feature releases for the language or standard library. However, while there is a large common subset between Python 2.7 and Python 3, and many of the changes involved in migrating to that common subset, or directly to Python 3, can be safely automated, some other changes (notably those associated with Unicode handling) may require careful consideration, and preferably robust automated regression test suites, to migrate effectively. This means that Python 2.7 will remain in place for a long time, providing a stable and supported base platform for production systems that have not yet been ported to Python 3. The full expected lifecycle of the Python 2.7 series is detailed in PEP 373. Some key consequences of the long-term significance of 2.7 are: As noted above, the 2.7 release has a much longer period of maintenance when compared to earlier 2.x versions. Python 2.7 is currently expected to remain supported by the core development team (receiving security updates and other bug fixes) until at least 2020 (10 years after its initial release, compared to the more typical support period of 18â"24 months). As the Python 2.7 standard library ages, making effective use of the Python Package Index (either directly or via a redistributor) becomes more important for Python 2 users. In addition to a wide variety of third party packages for various tasks, the available packages include backports of new modules and features from the Python 3 standard library that are compatible with Python 2, as well as various tools and libraries that can make it easier to migrate to Python 3. The Python Packaging User Guide provides guidance on downloading and installing software from the Python Package Index. While the preferred approach to enhancing Python 2 is now the publication of new packages on the Python Package Index, this approach doesnât necessarily work in all cases, especially those related to network security. In exceptional cases that cannot be handled adequately by publishing new or updated packages on PyPI, the Python Enhancement Proposal process may be used to make the case for adding new features directly to the Python 2 standard library. Any such additions, and the maintenance releases where they were added, will be noted in the New Features Added to Python 2.7 Maintenance Releases section below. For projects wishing to migrate from Python 2 to Python 3, or for library and framework developers wishing to support users on both Python 2 and Python 3, there are a variety of tools and guides available to help decide on a suitable approach and manage some of the technical details involved. The recommended starting point is the Porting Python 2 Code to Python 3 HOWTO guide. Changes to the Handling of Deprecation Warnings For Python 2.7, a policy decision was made to silence warnings only of interest to developers by default. DeprecationWarning and its descendants are now ignored unless otherwise requested, preventing users from seeing warnings triggered by an application. This change was also made in the branch that became Python 3.2. (Discussed on stdlib-sig and carried out in bpo-7319.) In previous releases, DeprecationWarning messages were enabled by default, providing Python developers with a clear indication of where their code may break in a future major version of Python. However, there are increasingly many users of Python-based applications who are not directly involved in the development of those applications. DeprecationWarning messages are irrelevant to such users, making them worry about an application thatâs actually working correctly and burdening application developers with responding to these concerns. You can re-enable display of DeprecationWarning messages by running Python with the -Wdefault (short form: -Wd) switch, or by setting the PYTHONWARNINGS environment variable to "default" (or "d") before running Python. Python code can also re-enable them by calling warnings.simplefilter('default'). The unittest module also automatically reenables deprecation warnings when running tests.
0 Comments:
Post a Comment
<< Home