Where to download python? The Python language can be used across platforms, and the download and installation can also be divided into two versions: Windows and Linux.
Windows:
Download the python version from the official website of python. You need to download the corresponding version (check your computer-properties) 32-bit operating system or 64-bit operating system), the official website download address is as follows: https://www.python.org/downloads/
Then double-click the downloaded installation package Installation
linux:
Usually Python is installed in /usr/local/python3 (the specific installation location depends on personal preference, but remember to install location), because the directory python3 does not exist in the /usr/local directory, so create a new directory first:
mkdir /usr/local/python3
1. Download Python3 from the official website
https://www.python.org/downloads/
2. Install dependency environment
Installing Python3 requires these four dependencies: gcc, zlib, zlib-devel, openssl-devel
Then install these four software respectively:
yum install gcc -y
yum install zlib -y
yum install zlib-devel -y
yum install openssl-devel -y
3. Unzip the downloaded Python3 installation package
Because the /opt directory is third-party software storage directory, so we move the downloaded installation package to the /opt directory, and then execute the decompression command in the directory:
tar -zvxf Python-3.6.4.tgz ##My installation package is 3.6 .4 of.
4. Compile and install
Enter the decompressed directory and compile in the directory. (Be sure to compile in the decompressed directory, otherwise it will not compile)
cd Python-3.6.4
./configure --prefix=/usr/local/ python3 ##Pay attention to the decimal point symbol. --prefix is to specify the installation directory. The installation directory specified here is /usr/local/python3
make && make install
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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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