Apps that can search for answers to Python questions include: Online Class Answers, Xuexiaoyi, Zhukebao, Search Questions Bao, Microsoft Mathematics, Photomath, Questions Duoduo, Homework Help, and Xiaoyuan Search Questions.
Apps that can search for answers to Python questions include
1.Online course help answer questions
Open the floating window to search for questions at any time without leaving the online course software, which is more efficient and is a must-have for online exams in mobile online courses. It has multiple built-in answer interfaces. You can search for questions while doing them, and you can customize the background and floating window. Searching questions is also very convenient.
2.Xue Xiaoyi
You can search for questions by text, but it does not support searching by taking pictures, but its biggest feature is There are a large number of answers to popular university textbooks, as well as answers to more than 20 online course platforms such as Chaoxing/Erya/Xuetong and so on. Worth recommending
3. Lesson Assistant
This app does not have a question search function, but there is no need to worry, and learn Xiaoyi Almost the same, it contains answers to textbooks for various university majors, with richer content than Senior Brother Bangbang. It also supports searching for answers to online courses, mainly Wisdom Tree/Zhidao Online Courses, Chaoxing/Erya/Xuetong. Not only that, but there are also functions such as English tutoring, online course tutoring, and campus running.
4. #The software has multiple question search interfaces, three built-in network interfaces and a short answer question interface. It is easy to operate and has a concise page. Efficient and convenient, you can search questions on the website with your mobile phone.
5.Microsoft Math
Supports handwriting input, photo search, detailed steps, essential for problem solving, you can download Chinese version is also a treasure software. I really didn’t expect Microsoft to have such a powerful software.
6.Photomath
Best used with Microsoft Math, a mobile app called "Camera Calculator" , uses your phone's camera to identify math equations and show step-by-step solutions on the screen.
7.questions a lot
is equivalent to the "Go to School" on Android. It contains nearly 100 million question banks and can be searched by taking photos. Questions can be searched by voice. Not only can you search for questions, but you can also answer questions on your own. However, there is a limit on the number of search questions. Newcomers can only search questions 30 times. Each person can invite friends to help receive the search question package, which is very simple. You can also directly follow Mr. Kadoshi’s public account to receive an additional 30 free search times. (Or enter the invitation password "1210" to get 30 search times for free)
Recommended tutorial: "python tutorial"
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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.

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