[https://kind.sigs.k8s.io/#installation-and-usage] curl -LO https://raw.githubusercontent.com/cilium/cilium/v1.10/Documentatio kind create cluster --config=kind-config.yaml minikube Install minikube >= v1.12 as (org=empire, class=deathstar). $ kubectl create -f https://raw.githubusercontent.com/cilium/cilium/v1.10/e service/deathstar created deployment.apps/deathstar created pod/tiefighter created pod/xwing created apply this L3/L4 policy, run: $ kubectl create -f https://raw.githubusercontent.com/cilium/cilium/v1.10/e ciliumnetworkpolicy.cilium.io/rule1 created Now if we run the landing requests again, only the

Framework Third-party distributions of Django For distributors Glossary Release notes Final releases 1.10 release 1.9 release 1.8 release 1.7 release 1.6 release 1.5 release 1.4 release 1.3 release 1.2 release Release cadence Deprecation policy Supported versions Release process Django Deprecation Timeline 2.0 1.10 1.9 1.8 1.7 1.6 1.5 1.4 1.3 The Django source code repository High-level overview The master branch Then at the Python prompt, try to import Django: >>> import django >>> print(django.get_version()) 1.10 You may have another version of Django installed. That’s it! That’s it – you can now move onto

session.saekvstorage.SaeKVDBStorage 的测试 增加了对 Django 2.0 的测试 抛弃对 Django < 1.8 、 Django 1.9 、 Django 1.10 的支持 Version 1.1.1 修复 werobot.client.Client.create_menu() 文档中的错误 在 werobot.client.Client.send_music_message()

session.saekvstorage.SaeKVDBStorage 的测试 增加了对 Django 2.0 的测试 抛弃对 Django < 1.8 、 Django 1.9 、 Django 1.10 的支持 Version 1.1.1 修复 werobot.client.Client.create_menu() 文档中的错误 在 werobot.client.Client.send_music_message()

session.saekvstorage.SaeKVDBStorage 的测试 增加了对 Django 2.0 的测试 抛弃对 Django < 1.8 、 Django 1.9 、 Django 1.10 的支持 Version 1.1.1 修复 werobot.client.Client.create_menu() 文档中的错误 在 werobot.client.Client.send_music_message()

and can run directly on the computer’s hardware. In contrast, languages like Java, Scala, Kotlin, Julia, among others, use a large virtual machine (VM) as an intermediary between the program and the hardware and those that are executed on a virtual machine, is not really sharp. For instance, Kotlin and Julia initially ran on a virtual machine, but they can now compile source code to native executables. And Odin, and Jai, avoid automatic memory handling. Other languages like Python, Java, JavaScript, C#, Julia, Go, and D use some form of garbage collector, which makes life for the programmers much easier

and can run directly on the computer’s hardware. In contrast, languages like Java, Scala, Kotlin, Julia, among others, use a large virtual machine (VM) as an intermediary between the program and the hardware and those that are executed on a virtual machine, is not really sharp. For instance, Kotlin and Julia initially ran on a virtual machine, but they can now compile source code to native executables. And Odin, and Jai, avoid automatic memory handling. Other languages like Python, Java, JavaScript, C#, Julia, Go, and D use some form of garbage collector, which makes life for the programmers much easier

completion. By default, the language associated to a code cell is Python, but other languages, such as Julia and R, can be handled using cell magic commands [https://ipython.readthedocs.io/en/stable/interactive/tutorial html#installing-kernels] to run in the Notebook server enables your server to run other languages, like R or Julia. Notebook front-end client How front-end configuration works Example: Changing the notebook’s default there are kernels available in the following languages: Python(https://github.com/ipython/ipython) Julia (https://github.com/JuliaLang/IJulia.jl) R (https://github.com/takluyver/IRkernel) Ruby (https://github

completion. By default, the language associated to a code cell is Python, but other languages, such as Julia and R, can be handled using cell magic commands [https://ipython.readthedocs.io/en/stable/interactive/tutorial html#installing-kernels] to run in the Notebook server enables your server to run other languages, like R or Julia. Notebook front-end client How front-end configuration works Example: Changing the notebook’s default there are kernels available in the following languages: Python(https://github.com/ipython/ipython) Julia (https://github.com/JuliaLang/IJulia.jl) R (https://github.com/takluyver/IRkernel) Ruby (https://github