How to install python on win7 system?
Download the Python installation package
Download address: https://www.python.org/downloads/
1. Select version
For version comparison, you can view the comparison of the two versions on the official website :Should I use Python 2 or Python 3 for my development activity? The author is new to using it, and the choice is in line with the future. So choose the latest version.
The release date of the latest version 3.6.3 is 2017-10-03.
Enter the page and scroll down to find files, select the version suitable for the local system environment to download.
After clicking multiple times step by step to enter the web page, you may be confused. If you are a Windows user and your computer configuration also happens to use mainstream accessories, you can use a mouse. Point to "Downloads" and select the corresponding version in the pop-up tab to download by default
The download box pops up and enter the download directly
[If it is an Apple system MacOS, go to https://www.python.org/downloads/mac-osx/ and choose the version you like to download]
2. Installation
Go to next, either default or customized.
3. Set environment variables
Find Path as shown in the figure and edit
It can be seen that after installing Python, the system has automatically been added to the Path. If not, you need to add the Python path "C:\Program Files (x86)\Python36-32\" (note: this is when installing Python Selected installation directory) ps: Remember, the path is separated by a semicolon ";"!
4. Test
Do a test to check whether the installation is successful.
Open cmd, enter "Python" and press Enter. If the following picture appears, it means the installation has been successful.
Hello World! As written in many materials, enter print ‘Hello World!’.
Prompt error, this is the syntax before Python3.x. After 3.0, the syntax is changed to "print( 'Hello World!')"
Related recommendations: "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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