WeRoBot 1.11.0 微信公众号开发框架文档Tornado 错误页面 定制错误页面 小工具 Token 生成器 贡献指南 贡献代码 API 应用对象 配置对象 Session 对象 log Changelog Version 1.11.0 Version 1.10.1 Version 1.10.0 Version 1.9.0 Version 1.8.0 Version 1.7.0 Version 1.6.0 Version 1.5 注解 在这个例子中, WeRoBot 的端口号为 12233。你应该在微信管理后台中将服 务器地址设为 http://example.com 。 在SAE上部署 注意 从 Version 1.11.0 开始,WeRoBot 停止测试 SAE 相关部分的代码。 新浪云上的 Python 应用的入口为 index.wsgi:application ,也就是 index.wsgi 这 个文件中名为 level='info') 按照配置开启 log 的格式化优化。 logger – 配置的 logger 对象 level – 要为 logger 设置的等级 Changelog Version 1.11.0 停止了对 Python2 与 PyPy 的支持。 ( #539 [https://github.com/offu/WeRoBot/pull/539] ) 停止了对 SAE 相关代码的测试。 (0 码力 | 103 页 | 74.21 KB | 1 年前3
WeRoBot 1.12.0 微信公众号开发框架文档定制错误页面 小工具 Token 生成器 贡献指南 贡献代码 API 应用对象 配置对象 Session 对象 log Changelog Version 1.12.0 Version 1.11.0 Version 1.10.1 Version 1.10.0 Version 1.9.0 Version 1.8.0 Version 1.7.0 Version 1.6.0 Version 1.5 注解 在这个例子中, WeRoBot 的端口号为 12233。你应该在微信管理后台中将服 务器地址设为 http://example.com 。 在SAE上部署 注意 从 Version 1.11.0 开始,WeRoBot 停止测试 SAE 相关部分的代码。 新浪云上的 Python 应用的入口为 index.wsgi:application ,也就是 index.wsgi 这 个文件中名为 增加了对微信模板回调消息的处理 robot.templatesendjobfinish_event ( #544 [https://github.com/offu/WeRoBot/pull/544] ) Version 1.11.0 停止了对 Python2 与 PyPy 的支持。 ( #539 [https://github.com/offu/WeRoBot/pull/539] ) 停止了对 SAE 相关代码的测试。 (0 码力 | 103 页 | 74.49 KB | 1 年前3
WeRoBot 1.13.1 微信公众号开发框架文档贡献代码 API 应用对象 配置对象 Session 对象 log Changelog Version 1.13.1 Version 1.13.0 Version 1.12.0 Version 1.11.0 Version 1.10.1 Version 1.10.0 Version 1.9.0 Version 1.8.0 Version 1.7.0 Version 1.6.0 Version 1.5 注解 在这个例子中, WeRoBot 的端口号为 12233。你应该在微信管理后台中将服 务器地址设为 http://example.com 。 在SAE上部署 注意 从 Version 1.11.0 开始,WeRoBot 停止测试 SAE 相关部分的代码。 新浪云上的 Python 应用的入口为 index.wsgi:application ,也就是 index.wsgi 这 个文件中名为 增加了对微信模板回调消息的处理 robot.templatesendjobfinish_event ( #544 [https://github.com/offu/WeRoBot/pull/544] ) Version 1.11.0 停止了对 Python2 与 PyPy 的支持。 ( #539 [https://github.com/offu/WeRoBot/pull/539] ) 停止了对 SAE 相关代码的测试。 (0 码力 | 105 页 | 76.25 KB | 1 年前3
Cilium v1.11 Documentationplaybook command. For example, you could add the following flag to the command below: -e cilium_version=v1.11.0. $ ansible-playbook -i ./inventory/hosts ./cluster.yml -e ansible_user=core -e bootstrap_os=coreos inventory/my-inventory $ cp ./inventory/hosts ./inventory/my-inventory/hosts $ echo 'cilium_version: "v1.11.0"' >> ./inventory/my- inventory/group_vars/k8s_cluster/k8s-net-cilium.yml $ ansible-playbook -i . 1.23.4 v1.10.19 1.23.4 v1.10.20 1.23.4 v1.10 1.23.4 v1.11.0-rc0 1.24.1 v1.11.0-rc1 1.24.1 v1.11.0-rc2 1.24.2 v1.11.0-rc3 1.24.2 v1.11.0 1.24.2 v1.11.1 1.24.3 v1.11.2 1.24.3 v1.11.3 1.24.3 v10 码力 | 1373 页 | 19.37 MB | 1 年前3
Computer Programming with the Nim Programming Language
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 easier0 码力 | 865 页 | 7.45 MB | 1 年前3
Computer Programming with the Nim Programming Language
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 easier0 码力 | 784 页 | 2.13 MB | 1 年前3
Jupyter Notebook 5.0.0 Documentationcompletion. 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://github0 码力 | 184 页 | 4.40 MB | 1 年前3
Jupyter Notebook 5.1.0 Documentationcompletion. 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://github0 码力 | 184 页 | 4.36 MB | 1 年前3
Jupyter Notebook 5.2.2 Documentationcompletion. 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 kernel.html] 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/IRkernel/IRkernel) Ruby (https://github0 码力 | 183 页 | 4.36 MB | 1 年前3
Jupyter Notebook 5.3.1 Documentationcompletion. 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 kernel.html] 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/IRkernel/IRkernel) Ruby (https://github0 码力 | 186 页 | 4.37 MB | 1 年前3
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