逐步指南,說明如何開始在 Windows 上使用 Python 進行 Web 開發,包括針對 Flask 和 Django 等架構進行設定。
帮助开始使用 Python 在 Windows 上进行 Web 开发(包括针对 Flask 和 Django 等框架进行设置)的分步指南。
Here is the step-by-step process on how to install Python on Windows in your specified directory:- Step1Download Python First of all, you have toopen the Python official websitetodownload the latest version of pythonon your computer system. You can find the latest version of Python there ...
SetPythonVersion onWindowsPlatform On Windows platforms, use either: pyenv(Version="version") or pyenv(Version="executable") whereexecutableis the full path to the Python executable file. For more information, see theVersionname-value argument forpyenv. For example, on a Windows system, set t...
First, we helped the community releasetheir distribution of Pythonto the Microsoft Store. This version of Python is fully maintained by the community, installs easily on Windows 10, and automatically makes common commands such aspython,pipandidleavailable (as well as equivalents with version numbers...
Windows10AMD64WIN-26MP1LFO99O3.8.10 其中,platform.system()函数返回操作系统的名称,platform.release()函数返回操作系统的版本号。platform.machine()函数返回机器的类型,如果当前机器支持amd64架构,则返回AMD64。platform.node()函数返回网络名称。platform.python_version()函数返回当前Python解释器的版本号。
楼主的是64位的Windows,所以选择如下:1.4 安装方法:1.4.1 安装JDK的操作比较简单,启动安装程序后,一律点击“下一步”即可,直至出现下图则表示安装完毕。1.4.2 验证安装是否成功:打开cmd命令窗口,输入"java -version",检查是否正常显示java版本信息。成功安装的回显信息如下图:...
pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of single-purpose tools that do one thing well. - pyenv-win/pyenv
a particular Python version with thepyenv prefixcommand, e.g.pyenv prefix 2.6.8. Note however that plugins may run additional operations on uninstall which you would need to do by hand as well. E.g. Pyenv-Virtualenv also removes any virtual environments linked to the version being uninstalled...
Python version:选择安装的python解释器版本,默认为您已安装的python版本,如果您安装有多个版本可以手动修改。 Base conda:基础conda环境,基于Conda(跨平台环境管理器)创建的基础环境,功能更强大,适用于多语言开发的复杂环境项目,此处暂不做详细介绍。 Custom environment:自定义环境,手动创建一个全新的Python环境,并手动安...