适合初学者的最佳 Python IDE 和代码编辑器

无论您是学习 Python 进行编程还是数据科学，IDE 都能让您更轻松、更快速地完成工作。在本文中，您将了解有哪些可用的工具以及它们包含哪些功能。

集成开发环境 (IDE) 是文本编辑器和 Python 运行时实现的组合。您可以使用它来编写、修改和执行 Python 脚本、创建程序资源和组件等等。

每个 Python 安装都附带一个集成开发和学习环境 (IDLE)，这是 Python 提供的 IDE。但使用 IDLE 并不是使用 Python 的必要条件——还有其他 IDE 可用于编写 Python 脚本，更不用说一些程序员更喜欢使用各种基于文本的编辑器。

为什么需要 IDE？

IDE 可帮助您更高效地编写代码 - 它们为您提供功能齐全的文本编辑器，包括语法突出显示、自动完成、智能缩进，以及具有单步执行和断点功能的调试器。代码编辑器通常没有内置的调试和运行工具，更像是专为编程设计的文本编辑器。

虽然有很多 IDE 可供选择，但我将重点介绍最适合 Python 初学者的 IDE 和代码编辑器。我没有按特定顺序列出它们，但我不得不说，第一个 Sublime Text 是我最喜欢的。

1. Sublime Text
2. Jupyter 笔记本
3. PyCharm
4. 蚀
5. 蜘蛛
6. 原子

无论您是学习 Python 进行编程 还是 学习 Python 进行数据科学 ，我相信您都会在此列表中找到适合您需求的一门课程。

适合初学者的顶级 Python 代码编辑器

Sublime Text

网站：

Sublime Text is a simple code editor coded in C++ and Python. Since version 2.0, Sublime supports most popular programming languages, including Python. It was first published in 2007 by Jon Skinner, who mentioned the three guiding principles he had in mind while developing Sublime Text:

• Unobtrusive, minimal chrome. The focus should be on the text, not on fourteen different toolbars.
• Don’t obscure the text with dialogs.
• Use the pixels you’ve got. Full screen, multi-monitor, and side-by-side editing should all be possible.

Thanks to the different plugins and packages available, you can customize Sublime Text with features – like linting (which cleans up your code), file syncing, auto-complete, and syntax highlighting – that make it easy to develop code in Python.

Jupyter Notebook

Website:

source: https://learnpython.com/blog/jupyter-notebook-python-ide-installation-tips/

Jupyter Notebook provides an easy-to-use, interactive data science environment in over 40 programming languages. Moreover, the tool can be used as a presentation or education tool, so it’s ideal for users who are just starting out with data science projects.

If you’re interested in getting started with Jupyter Notebook, read Jupyter Notebook - The Free Editor for Python .

Top Python IDEs for Beginners

PyCharm

Website: pycharm/

PyCharm is a professional Python IDE available in three versions:

• Community
• Educational
• Professional

The first two versions are open source and free of charge. The Community version has slightly different features, such as syntax highlighting, auto-completion, and live code verification.

The Professional version is paid and has more advanced features, such as full database management and more frameworks than the Community version supports (e.g. Django, Flask, Google App, Engine, Pyramid, and Web2py).

PyCharm gives you the ability to plot, manage, and explore graphs in real time. Additionally, it supports database languages like SQL via plugins.

If you want to start using PyCharm but don't know how to do it, check out the PyCharm Tutorial for Beginners .

Eclipse

Website: /

Eclipse is an IDE meant for Java users, but – thanks to a system of plugins and extensions – it can be used with other programming languages. If you want Eclipse to act as your Python IDE, you need to install the Pydev plugin.

Pydev uses advanced inference techniques to provide features such as code completion and code analysis. It offers the following features:

• Basic syntax highlighting.
• Interactive console.
• Debugger.
• Django support.
• Code coverage.
• And more.

Pydev is free of charge, platform-independent, and shows that Python development can be comparable to Java development.

Spyder

Website:

Spyder stands for Scientific PYthon Development EnviRonment. As you might guess, it is an IDE "designed by and for scientists, engineers, and data analysts". It is meant to be the go-to tool for Python data scientists.

Spyder is an open-source project that, at the beginning of its history, was supported by Anaconda , the ‘birthplace of Python data science’. This IDE is provided with a customizable user interface that allows you to change layout designs and that adapts to the habits and preferences of its user.

Spyder’s most interesting features include:

• A multi-language editor.
• Code auto-completion.
• Real-time code analysis.

If you’re interested in using this IDE, read How to Install the Python Spyder IDE and Run Scripts .

Atom

Website:

Atom includes most of the basic functionalities of an IDE, such as syntax highlighting and auto-completion. Atom was developed initially from GitHub and is open-source, with a strong community that provides both support and handy extensions in the form of plugins.

One of the biggest reasons behind Atom's success is its fully customizable interface. Everything can be changed, from the interface itself to its basic functions. The only disadvantage is that Atom is not really suitable for handling large code files.

Note: This IDE is very intuitive for Visual Studio Code users; it offers almost the same features.

Can the Right IDE Help You Progress with Python?

This has been a short overview of my recommendations for newcomers to Python who are looking for quality IDEs and code editors. It’s much easier to develop coding skills with an IDE that marks your mistakes or auto-completes your statements. Now that you have a glimpse of the most useful tools, you can take your programming and/or data science projects to the next level.

Did I miss an IDE you think should be included here? Tell me in the comment section below! I’ll be happy to try it out and maybe review it in an upcoming article.