##How to install Python in Linux?
1. Install pycharm
Pycharm download address: http://www.jetbrains.com/pycharm/download/ (it is recommended to choose the open source community version)2.2 JDK environment for installing pycharm
Pycharm requires JDK environment analysis, otherwise an error will be reported during the installation process. Execute several commands in sequence:sudo add-apt-repository ppa:webupd8team/java sudo apt-get update sudo apt-get install oracle-java8-installer(此处环境包较大,如下载中途停止退出,重复执行即可)During the installation process, the Oracle license dialog box will pop up, just choose to accept it. After the installation is complete, run "java -version" or "javac -version" to check whether the installation is successful. If you get output similar to the following, the installation is successful. root@ubuntu:~# java -versionjava version "1.8.0_66"Java(TM) SE Runtime Environment (build 1.8.0_66-b17)Java HotSpot(TM) 64-Bit Server VM (build 25.66-b17, mixed mode)root@ubuntu:~# javac -versionjavac 1.8.0_66
Configure Java_home environment
#sudo apt-get install oracle-java8-set-default #echo JAVA_HOME="/usr/lib/jvm/java-8-oracle" >> /etc/environment #source /etc/environment
2.3 Install pycharm.sh
Unzip the installed pycharm installation package, unzip and execute pycharm .sh, just follow the default prompts. Reference:root@ubuntu:/opt# sudo tar -zxvf pycharm-community-5.0.1.tar.gz root@ubuntu:/opt# sudo sh pycharm-community-5.0.1/bin/pycharm.shThen follow the default prompts and select OK to install. Usually start pycharm and execute sudo sh pycharm-community-5.0.1/bin/pycharm.sh. 1. Reference webpage: http://www.cnblogs.com/zhcncn/p/4027025.html2. Open your own Python file (omitted) 3. Solve the problem of No Python interperter selected in Pycharm. To put it simply, it means that the Python interpreter cannot be found where it is installed. Method 1: whereis pythonMethod 2: which pythonFor example, /usr/bin/python in the picture is one of the paths to the interpreter. Configure the interpreter path in Pycharm: file->settings, select the configuration interface on the right
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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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