Which app should I use to solve python questions?
It is recommended to use leetcode. Let me introduce the functions of this software to you.
1. Select the question type
The top tab bar Problems gives three categories: Algorithms, Database, and Shell, respectively. Algorithm questions, database questions, and Shell script questions, the first one is the algorithm question we need.
2. Select algorithm questions
After clicking on Algorithms, we can see a list of questions, each Each question has a unique serial number, the acceptance rate behind it indicates the accuracy of the submission, and Difficulty indicates the difficulty level.
LeetCode is divided into three levels according to difficulty: Hard, Medium, and Easy.
Easy level generally does not require much thinking to come up with algorithms, and can even be done in a direct way, which is especially suitable for novices to become familiar with programming languages.
Medium level will be somewhat difficult, generally involving classic algorithms and requiring a certain amount of thinking.
Hard level is the most difficult. Sometimes it is the difficulty of the algorithm itself, and sometimes it requires you to consider various details.
The small arrow in front of each question indicates that the question has been completed. There is a Choose one filter at the top of the question list, which can remove completed questions from the list.
Related recommendations: "Python Video Tutorial"
##3. Screen a certain type of questions
If we only want to find a certain type of questions, we can filter by Tags or CompanyYou can see the following in the right column of the question bank, where questions from many companies are listed## If we are doing a certain question and feel that we want to do a similar one again, to consolidate it, we can find similar problems through Show Similar Problems and Tags under the question
Each topic has its own Discuss button. After clicking to enter, you can see the discussion area.
Here, many people have put their own codes on it. Just like BBS, you can post questions and reply to others.
5. About code writing, testing and submission
After clicking on the topic we selected, we can write the code. LeetCode is generally They will directly provide a functional interface. We only need to write the inside of the function, and we need to consider the library file. In addition, in the selection column above, you can switch to the programming language you need.
After the program is written, don’t rush to submit it (Submit Solution button), you can test it first (Run Code)
We can also click on the small box next to Custom TestCase. After clicking on it, we can enter the input value we set ourselves.
Generally, the input form of the array is [a1, a2, a3, a4...]
Of course, we will choose to submit the Solution after the test is complete and correct.If an error occurs, there will be a prompt.
If it is correct, there will be the following prompt:
We can click on More Details to view the detailed result description
or click on the question next to Next challenges to continue doing the questions.
6. View the questions you submitted
My Submissions: You can find the questions you submitted (including correct submissions and incorrect submissions) and the submitted codes can also be seen
Manage Sessions: Mainly manage your own submission status, error rate and correctness rate , the total completion rate and so on.
##After clicking it, you can find all your past submissions.
The above is the detailed content of Which app should I use to solve python questions?. For more information, please follow other related articles on the PHP Chinese website!

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.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Zend Studio 13.0.1
Powerful PHP integrated development environment

SublimeText3 Linux new version
SublimeText3 Linux latest version

Atom editor mac version download
The most popular open source editor

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