future-0.18.2-py3-none-any.whl ，官网下载有点慢 future-0.18.2-py3-none-any.whl ，为什么我把积分改为0，他又会自己变成29啊

Crafting Your Research Future

音频播放器库和用于Audacious，GStreamer，XMMS或BMP的插件，可以解码来自AMIGA的Future Composer音乐文件。 已实现的两个关键功能是歌曲长度检测和向前/向后搜索。

python setup.py build python setup.py install tutorial : http://pythonhosted.org//futures/

研究关于未来互联网的架构和设计的相关问题。 Architecture and Design for the Future Internet addresses the Networks of the Future and the Future Internet, focusing on networks aspects, offering both technical and non-technical perspectives. It presents the main findings of 4WARD (Architecture and Design for the Future Internet), a European Integrated Project within Framework Programme 7, which addressed this area from an innovative approach. Today’s network architectures are stifling innovation, restricting it mostly to the application level, while the need for structural change is increasingly evident. The absence of adequate facilities to design, optimise and interoperate new networks currently forces a convergence to an architecture that is suboptimal for many applications and that cannot support innovations within itself, the Internet. 4WARD overcomes this impasse through a set of radical architectural approaches, built on a strong mobile and wireless background. The main topics addressed by the book are: the improved ability to design inter-operable and complementary families of network architectures; the enabled co-existence of multiple networks on common platforms through carrier-grade virtualisation for networking resources; the enhanced utility of networks by making them self-managing; the increased robustness and efficiency of networks by leveraging diversity; and the improved application support by a new information-centric paradigm in place of the old host-centric approach. These solutions embrace the full range of technologies, from fibre backbones to wireless and sensor networks.

The Open Group 组织发表的最新版的FACE（Future Airborne Capability Environment）规范，它是一种航电软件架构设计标准。

分享给官网下不来的人。分享给官网下不来的人。分享给官网下不来的人。

The_Future_of_Cyber_Intelligence_How_Actionable_Deep_Learning_is_Changing_the_Face_of_Security AI 数据分析 移动安全 渗透测试 渗透测试

The Imagination Machine How to Spark New Ideas and Create Your Companys Future

预报_未来_销售 这项挑战是“如何赢得数据科学竞赛” Coursera课程的最终项目。 在本竞赛中，您将使用具有挑战性的时间序列数据集，其中包括每日销售数据，该数据集由俄罗斯最大的软件公司之一-1C公司提供。 我们要求您预测下个月每个产品和商店的总销售额。通过解决这一竞争，您将能够应用和增强您的数据科学技能 系统会为您提供每日历史销售数据。任务是预测测试集在每个商店中售出的产品总数。请注意，商店和产品的清单每月都会略有变化。创建可以处理此类情况的可靠模型是挑战的一部分。 文件描述：sales_train.csv-训练集。 2013年1月至2015年10月的每日历史数据。 test.csv-测试集。您需要预测这些商店和产品在2015年11月的销售情况。 sample_submission.csv-格式正确的示例提交文件。 items.csv-有关项目/产品的补充信息。 item_ca