aims to work on any computing platform and operating system. This goal is achieved by adopting a web-based architecture, which is also browser agnostic. We incorporate the open-source Jupyter notebook infrastructure with a combination of JavaScript, HTML and CSS and run on any modern browser. 解释： Ø PYNQ 开发框架：web-based architecture, browser as client Ø 开发环境：Jupyter notebook Ø Host：Zynq 器件 ARM 处理器 （IPython kernel hi-DNNDK/bd-p/Deephi Python in Edge AI Computing – Xilinx DNNDK 27 马达控制和可预测性维护 FOC Algorithm HLS/SDSoC Translation and Overlay 马达控制可视化： Python with Jupyter Notebook Control System Using Numpy and Scikit-learn

aims to work on any computing platform and operating system. This goal is achieved by adopting a web-based architecture, which is also browser agnostic. We incorporate the open-source Jupyter notebook infrastructure with a combination of JavaScript, HTML and CSS and run on any modern browser. 解释： Ø PYNQ 开发框架：web-based architecture, browser as client Ø 开发环境：Jupyter notebook Ø Host：Zynq 器件 ARM 处理器 （IPython kernel DNNDK/bd-p/Deephi Python in Edge AI Computing – Xilinx DNNDK 27 马达控制和可预测性维护 FOC Algorithm HLS/SDSoC Translation and Overlay 马达控制可视化： Python with Jupyter Notebook Control System Using Numpy and Scikit-learn

aims to work on any computing platform and operating system. This goal is achieved by adopting a web-based architecture, which is also browser agnostic. We incorporate the open-source Jupyter notebook infrastructure with a combination of JavaScript, HTML and CSS and run on any modern browser. 解释： ➢ PYNQ 开发框架：web-based architecture, browser as client ➢ 开发环境：Jupyter notebook ➢ Host：Zynq 器件 ARM 处理器 （IPython kernel DNNDK/bd-p/Deephi Python in Edge AI Computing – Xilinx DNNDK 27 马达控制和可预测性维护 FOC Algorithm HLS/SDSoC Translation and Overlay 马达控制可视化： Python with Jupyter Notebook Control System Using Numpy and Scikit-learn

blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), queue [...] in less than a day using RabbitMQ and Celery How to get celeryd to work on FreeBSD Web-based 3D animation software Queued Storage Backend for Django RabbitMQ with Python and Ruby Using Celery queue [...] in less than a day using RabbitMQ and Celery How to get celeryd to work on FreeBSD Web-based 3D animation software Queued Storage Backend for Django RabbitMQ with Python and Ruby Django/Celery

blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64) queue [...] in less than a day using RabbitMQ and Celery • How to get celeryd to work on FreeBSD • Web-based 3D animation software • Queued Storage Backend for Django • RabbitMQ with Python and Ruby 5.1.1 step-to-step guide: http://www.playingwithwire.com/2009/10/how-to-get-celeryd-to-work-on-freebsd/ 5.1.10 Web-based 3D animation software Indy Chang Liu at ThinkingCactus uses Celery to render animations asynchronously

blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), max_length=64) com/2009/10/how-to-get-celeryd-to-work-on-freebsd/ 45 Celery Documentation, Release 1.0.6 (stable) Web-based 3D animation software Indy Chang Liu at ThinkingCactus uses Celery to render animations asynchronously incre- ment its count by. clickmuncher/models.py: from django.db import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url

blog/models.py The comment model looks like this: from django.db import models from django.utils.translation import ugettext_lazy as _ class Comment(models.Model): name = models.CharField(_("name"), step-to-step guide: http://www.playingwithwire.com/2009/10/how-to-get-celeryd-to-work-on-freebsd/ Web-based 3D animation software Indy Chang Liu at ThinkingCactus [http://thinkingcactus.com/] uses Celery increment its count by. clickmuncher/models.py: from django.db import models from django.utils.translation import ugettext_lazy as _ class ClickManager(models.Manager): def increment_clicks(self, for_url

the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing files properly) #6660 (@yacchin1205) 5.2.3 Other merged PRs • Fix ru_RU translation #6745 (@andrii-i) • Update kernel translation #6744 (@JasonWeill) 5.2.4 Contributors to this release (GitHub contributors opening notebooks #6221 (@dleen) • Change to use a universal Chinese translation on certain words #6218 (@jackexu) • Fix Chinese translation typo #6211 (@maliubiao • Fix send2trash tests failing on Windows

the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing files properly) #6660 (@yacchin1205) 5.1.3 Other merged PRs • Fix ru_RU translation #6745 (@andrii-i) • Update kernel translation #6744 (@JasonWeill) 63 Jupyter Notebook Documentation, Release 6.5.3 opening notebooks #6221 (@dleen) • Change to use a universal Chinese translation on certain words #6218 (@jackexu) • Fix Chinese translation typo #6211 (@maliubiao • Fix send2trash tests failing on Windows

the console-based approach to interactive computing in a qualitatively new direction, providing a web-based application suitable for capturing the whole computation process: developing, documenting, and executing opening notebooks #6221 (@dleen) • Change to use a universal Chinese translation on certain words #6218 (@jackexu) • Fix Chinese translation typo #6211 (@maliubiao • Fix send2trash tests failing on Windows (@kevin-bates) • Allow jupyter_server-based contents managers in notebook #5957 (@afshin) • Russian translation fixes #5954 (@insolor) • Increase culling test idle timeout #5952 (@kevin-bates) • Re-enable