A complete collection of software for learning python
Python is a general-purpose programming language suitable for various scenarios. Learning Python requires using the appropriate software to write and run code.
PyCharm
PyCharm is a powerful Python IDE that provides rich functions and an easy-to-use user interface. It has functions such as debugging, syntax highlighting, code jumping, smart prompts, etc., and is suitable for Python development.
VS Code
VS Code is a free and open source modern lightweight code editor that supports syntax highlighting and smart code for almost all mainstream development languages. Completion, custom hotkeys, bracket matching, code snippets, code comparison Diff, GIT and other features. It is also optimized for web development and cloud application development. VS Code supports Win, Mac and Linux across platforms and is a powerful development tool.
Sublime Text 3
Sublime Text 3 is a powerful code editor with a beautiful user interface and custom features such as code thumbnails, Python Plug-ins and code snippets, etc.
Github
Github is one of the favorite software among programmers because it provides rich resources and convenient collaboration tools, allowing programmers to easily Communicate and collaborate on code with others.
ipython
For beginners, especially writing syntax and short functions, ipython is the best choice. It's easy to get started, fast to implement code, and compiles and runs on the fly.
Anaconda
Anaconda is a one-stop service that integrates the Python runtime environment and integrates hundreds of libraries.
Atom
Atom is a cross-platform text editor launched by Github. It has a simple and intuitive interface and has many interesting features. It supports macros, autocomplete, split-screen functionality, and an integrated file manager.
VIM
Learning VIM takes a certain amount of time and effort, because it takes time to study the use of shortcut commands and plug-ins, but in the long run, using VIM is A very good choice.
jupyter
For beginners, jupyter is a very suitable software choice. It has intuitive syntax and execution speed, and is very suitable for writing short functions and data. Analysis and other projects.
Eclipse
Eclipse is an open source, Java-based extensible development platform that is simply a framework and a set of services for building development through plug-in components environment.
Spyder
Spyder is a lightweight IDE development tool written in Python. It has a simple and clear interface without too many options, making it very easy to use.
Thonny
Thonny is an integrated development environment suitable for most mainstream platforms. It is installed by default with the built-in Python version, which is very convenient.
Emacs
Emacs is an open source editor that supports plug-in extensions and can configure a Python integrated development environment. It is not only an editor, but also an integrated environment, and can even be said to be an integrated development environment.
QPython
QPython is a Python script engine that can run on Android systems. It integrates the Python3 interpreter, Console console and QEdit editor.
Upterm
Upterm is a full-platform terminal, which can be said to be an IDE in the terminal, with a powerful auto-completion function.
The above is the detailed content of A complete collection of software for learning python. For more information, please follow other related articles on the PHP Chinese website!

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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
