在搜索引擎上搜过,未果
问题的详细描述:假设在桌面有一个“A.py”,当A.py被运行的时候会自动打开“B.py”(不在桌面,而是在其他路径,并且这个路径已知)。
实现效果类似于如下代码:
<span class="kn">import</span> <span class="nn">os</span> <span class="n">start_dire</span> <span class="o">=</span> <span class="s">r"E:\*.txt"</span> <span class="n">os</span><span class="o">.</span><span class="n">system</span><span class="p">(</span><span class="s">"explorer.exe </span><span class="si">%s</span><span class="s">"</span> <span class="o">%</span><span class="n">start_dire</span><span class="p">)</span>
回复内容:
考虑到题主是新手,我就多说几个方法0. runpy.run_path('my_awesome_program.py')
首选这个方法,全平台通用
1. 直接import那个文件(如果那个文件没加__name__=='__main__'判断的话),如果文件名是变量的话,用__import__('my_awesome_program')
2. os.startfile('my_awesome_program.py')
这是windows-only的,自己用用还行,稍微大一点的项目就别用了
3. os.system('python "%s"' % 'my_awesome_program.py')
但如果对方电脑的python不在%path%里就挂了,因此还是仅限自己用
4.用subprocess,命令行同上,用法请自行百度或者查文档
同样也仅限自己用
5. 你试试execfile('my_awesome_program.py'),我没试过,不确定行不行
UPDATE: 我试过了,可以,好像这个也是全平台通用的。 Python不知道,不过Perl语言有一个内置变量$^X,其内容是正在执行当前脚本的Perl解释器的路径。可以用那个变量的内容去执行另一个Perl脚本:
system($^X, "another_script.pl");
先读.py的文件,然后使用eval函数执行.py的文件内容,或者用import
至少有两种方法,假定b.py在E盘的根目录:1. 把B.py所在的路径加入系统路径:
<span class="kn">import</span> <span class="nn">sys</span>
<span class="n">sys</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="s">'E:/'</span><span class="p">)</span>
<span class="kn">import</span> <span class="nn">b</span>
<span class="n">b</span><span class="o">.</span><span class="n">foo</span><span class="p">()</span>
把explorer.exe换成python.exe试试还可以通过import来执行其他文件里的代码

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

Python is suitable for rapid development and data processing, while C is suitable for high performance and underlying control. 1) Python is easy to use, with concise syntax, and is suitable for data science and web development. 2) C has high performance and accurate control, and is often used in gaming and system programming.

The time required to learn Python varies from person to person, mainly influenced by previous programming experience, learning motivation, learning resources and methods, and learning rhythm. Set realistic learning goals and learn best through practical projects.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Zend Studio 13.0.1
Powerful PHP integrated development environment

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

SublimeText3 English version
Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.