Python学习,外企Sys/Network Admin背景,
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python就是为了让所有人都学习编程而生的如果没有人说过这句话,那就是我说的 有本书叫 Python for UNIX and Linux Sysyem Administration,虽然略有些过时,但是整体思路不错,在用python做运维时有很大借鉴意义。
书里面在描述为什么选Python,而不是Bash、Perl、Ruby时讲了几点:
- Python简单,无基础几个小时就可以上手,写出可用的运维脚本
- 完备,可以完成几乎任何复杂的任务
- 很好的可读性,容易维护
- 必要时使用OOP复用脚本
- 社区活跃,标准库和三方库全面并且涵盖广泛
迪艾姆python培训黄哥推荐的三本书下载:
像计算机科学家一样思考Python
Python编程实践
Python核心编程(第2版)
How to Think Like a Computer Scientist- Learning with Python 3
Practical Programming, 2nd Edition An Introduction to Computer Science Using Python 3
Core Python Programming, 2nd Edition 建议楼主直接去网店上搜索“Python” +“运维”会有一本很适合你的书。另外网络运维的趋势sdn,以后会有对Python脚本的支持。

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.


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