search
HomeBackend DevelopmentPython TutorialPycharm installation and use

Pycharm installation and use

May 10, 2018 am 09:13 AM
pycharmuseInstall

This article mainly introduces the installation and use of Pycharm, which has certain reference value. Now I share it with everyone. Friends in need can refer to

Python language, 2015 programming language rankings Python ranks 6th on the list, surpassing JavaScript and PHP. It has risen two places compared to 2014. I am very optimistic about the development of Python. It is now ranked 5th. I hope that programmers who learn Python will stick to it.

Okay, let’s get to the topic: Pycharm.
I think people who read this blog must already know something about Pycharm. Below I will introduce the installation process of Pycharm, the common functions of Pycharm tools, and write simple examples. (Windows)
****************************************** ********
PycharmInstallation:
1 Download
2 Install Pycharm You can modify the installation path such as D:\PyCharm 4.5.2
3 Write the installation path of Pycharm into the PATH environment variable of Windows
4 To activate Pycharm software, you can purchase the genuine version, which can be used for 30 days, and you can use the activation code
user name: EMBRACE
key:
14203-12042010
0000107Iq75C621P7X1SFnpJpKnX
6zcwYOYaGK3euO3ehd1MiTT”2!Jny8
bff9VcTSJk7sRDLqKRVz1XGKbM qw3G

Pycharm Usage:
1 Open the Pycharm development environment and create a new project: File->New Project to open
Pycharm installation and use
Select the project you want to build in Location Save path
Select the python.exe you have installed in Interpreter
Click Create to complete the new creation.
2 Right-click on the project name and select new->Python File
Pycharm installation and use
3 Select the button as shown in the picture, select Edit Configuration from the drop-down menu, and the dialog box will pop up
Pycharm installation and use
4 Click the green number in the dialogue ->Python
Pycharm installation and use
5 Name is the name of the project you built, Script is the python file you want to run (you can select it in the button below), and then Select the python compiler in the Python interpreter->OK
Pycharm installation and use
6 Select the file you want to run, right-click->Run 'file name' (green triangle button)
Pycharm installation and use
Or click the python logo in the toolbar->Select the file you want to run

Pycharm installation and use##

The above is the detailed content of Pycharm installation and use. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Python vs. C  : Understanding the Key DifferencesPython vs. C : Understanding the Key DifferencesApr 21, 2025 am 12:18 AM

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.

Python vs. C  : Which Language to Choose for Your Project?Python vs. C : Which Language to Choose for Your Project?Apr 21, 2025 am 12:17 AM

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.

Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

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.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

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.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

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 vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

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.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

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 vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

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.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.