


Today a friend gave me a request:
Come on
{'isOK': 1, 'isRunning': None, 'isError': None}
How to convert into dictionary
Okay, at first glance, json conversion is very simple, start:
import json a = "{'isOK': 1, 'isRunning': None, 'isError': None}" print json.loads(a)
I couldn’t get any results, and even reported errors. I checked Baidu for two hours, but I couldn’t figure it out.
Finally, I directly copied the code from the Internet. OK, the operation was successful. But when I filled in my a variable, it failed and an error was reported. I started to compare the differences between the two variables. I always thought that double quotes and single quotes can be used casually in Python. The meaning remains unchanged; finally Baidu learned about the standard format of json: requires that only double quotes must be used as boundary symbols for keys or values, single quotes cannot be used, and "keys" must use boundary symbols (double quotes)
It’s OK after changing it.
#-*-coding:utf-8-*- import json a = '{"isOK": 1, "isRunning": "None", "isError": "None"}' b = json.loads(a) print b["isOK"]
Perhaps other languages such as php, js and other languages can recognize non-standard json format, but Python cannot;
Question: How does python convert variables like a into dict? The premise is that the amount of data is large...
The above simple implementation of Python processing of json string into dictionary is all the content shared by the editor. I hope it can give you a reference, and I also hope that everyone will support Script Home.

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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