10 best IDE for python and code editors for beginners and professionals

Are you a Python developer? Or you are looking for useful tools to start your Python career? Then, this article is just for you. This article will point out the 10 best IDE for python and code editors on the market today.

best IDE for python and code editors

I. What Are IDEs and Code Editors

An IDE, or Integrated Development Environment, is an application for software development. It allows programmers to unify different aspects of writing a computer program.

The IDE provides the tools a developer needs, including:

  • Code Editor: This feature is a text editor designed for writing and editing source code. Source code editors are distinguished from text editors because they enhance or simplify the writing and editing of code.
  • Compiler: This tool converts source code written in a human-readable/writeable language into a form that the computer can execute.
  • Debugger: It is used during testing to help debug application programs.
  • Build automation tools: These tools automate common developer tasks.

On the other hand, a dedicated code editor can be as simple as a text editor with syntax highlighting and code formatting features. The debugger can be controlled and executed in most excellent code editors. The best ones also interact with source control systems. Compared to an IDE, a good dedicated code editor is usually smaller and faster but often less feature-rich.

II. Requirements for a Good Python Coding Environment

So, what are the essential components of a coding environment? Although feature lists differ from app to app, there are a few common ones that make development easier:

  • Save and reload code files.
    Suppose an IDE or editor won’t allow you to save your work and reopen it later in the same state as when you left it. It’s not much of an IDE.
  • Run code from within the environment
    Similarly, if you have to exit the editor in order to run your Python code, it’s nothing more than a plain text editor.
  • Debugging support
    All IDEs and most competent code editors have the ability to step through your code while it runs as a standard feature.
  • Syntax highlighting
    Reading and understanding code is considerably easier when you can rapidly detect keywords, variables, and symbols.
  • Automatic code formatting
    Any decent editor or IDE will identify the colon at the end of a while or for a statement and know that the next line should be indented.

Of course, you may desire additional features such as source code control, an extension model, build and test tools, language help, and so on. However, the elements listed above are to be “fundamental” elements of a decent editing environment.

Now, let us list some general-purpose tools that we can use for Python development.

III. 10 best IDE for python and code editors

1. Eclipse + PyDev

For: Beginner
Pricing: Free
Category: IDE

Eclipse is the first tool we want to list for you. Surely, You’ve heard of this name if you’ve spent time in the open-source community.

At first, Eclipse is the de-facto open-source IDE for Java programming, with versions for Linux, Windows, and OS X. Eclipse offers a large marketplace of extensions and add-ons, making it helpful for various development tasks.

PyDev, for example, provides Python debugging, code completion, and an interactive Python console.

Furthermore, PyDev is simple to install in Eclipse: go to Help, Eclipse Marketplace, and search for PyDev. Then, click Install and restart Eclipse if necessary.

Pros: Installing PyDev will be faster and easier if you already have Eclipse installed. For an experienced Eclipse developer, PyDev is quite easy to use.

Cons: If you’re new to Python or software development in general, Eclipse can be a lot to handle. Remember that IDEs are larger and require more knowledge. Eclipse is all that and a bag of (micro)chips.

2. Sublime Text

For: Beginner, Professional
Pricing: Freemium
Category: Code editor

Sublime Text is the first Code editor we want to show you.

A Google engineer with a vision for a better text editor created Sublime Text that is a popular code editor. Additionally, It is a well-known code editor that supports a variety of programming languages, including Python. It’s fast, flexible, and has a large user base.

Moreover, Sublime Text is a cross-platform text editor with built-in Python code editing and a large number of extensions (called packages) that extend the syntax and editing functionality.

It has basic built-in support for Python when you install it. However, you can install packages for debugging, auto-completion, code linting, and so on. In addition, Django, Flask, and other scientific development programs are also available. Basically, Sublime Text can be customized to build a full-fledged Python development environment based on your requirements.

Sublime Text best IDE for python

Additional Python packages can be difficult to install because all Sublime Text packages are written in Python, and installing community packages typically necessitates running Python scripts directly in Sublime Text.

Sublime Text can be downloaded and used for an infinite period of time. However, you may receive a pop-up message stating that “you must purchase a license for continuing use.”

Pros: Sublime Text has a large community of users. Sublime Text is a fast, compact, and well-supported code editor on its own.

Cons: In spite of the fact that you can use the evaluation version for an infinite period of time, Sublime Text is not free. It can be difficult to install extensions, and there is no direct support for executing or debugging code from within the editor.

3. Atom

For: Beginner, Professional
Pricing: Free
Category: Code editor

Another Code editor is Atom. Atom is a Github-developed open-source code editor used for Python development (similar Sublime text). Atom is highly customizable. You can install packages according to your demands. Besides, Autocomplete-python, linter-flake8, and python-debugger are commonly packaging in Atom.

Not only that, with a sleek interface, file system browser, and marketplace for extensions, open-source Atom is built using Electron, a framework for creating desktop applications using JavaScript, HTML, and CSS.

Pros: Electron provides widespread support across all platforms. Atom is a lightweight program that downloads and loads fast.

Cons: Build and debugging support are community-provided add-ons rather than built-in features. Atom runs as a JavaScript process rather than as a native application because it is built on Electron.

4. Visual Studio

For: Beginner, Professtional
Pricing: Free & License
Category: IDE

IDE VS

Visual Studio is a full-featured IDE created by Microsoft. VS is available in both free (Community) and commercial (Professional and Enterprise) editions for Windows and Mac OS. In addition, Visual Studio enables development for various platforms and comes with its own marketplace for extensions.

Python Tools for Visual Studio (also known as PTVS) allows Python scripting in Visual Studio as well as Intellisense for Python, debugging, and other features.

5. Visual Studio Code

For: Professional 
Pricing: Free
Category: Code Editor

Visual Studio Code (VS Code) is a free and open-source IDE for Python development provided by Microsoft.

VSC best IDE for python

In Visual Studio Code, you can add extensions to create a Python development environment that meets your needs. Intelligent code completion, linting for potential errors, debugging, unit testing, and other tools are including.

Moreover, VS Code is a small program with a lot of functionality. This is why it is gaining popularity among Python programmers. However, because VS Code is based on Electron, it shares the same benefits and drawbacks as Atom.

Furthermore, Installing Python support in VS Code is simple: go to the Marketplace and click a button. Then, search for Python, click Install and restart if necessary. VS Code will automatically detect your Python installation and libraries.

Pros: VS Code is available on every platform thanks to Electron, is surprisingly full-featured despite its small footprint, and is open-source.

6. Vi/Vim

For: Professional  
Pricing: Free
Category: Code Editor

Vi (known as Vim) is a text editor that comes preinstalled in Mac OS and UNIX systems. However, you’ll need to download it if you’re using Windows. Many enhancements to the original VI are included in VIM, including an extensibility model and in-place code generation. In addition, VIMScripts are available for various Python development tasks.

Some programmers enjoy Vim, its keyboard shortcuts, and extensibility, while others do not like it.

Not only that, Vim can be a useful tool for Python programming if you already know how to use it. However, if you don’t already know Vim and its commands, you’ll need to spend some time studying them before you can use it for Python.

You can use Vim as a Python IDE by adding plugins for syntax highlighting, code completion, debugging, refactoring, and so on.

best IDE for python Vi Vim

Pros: You’re familiar with VI, you use VI, and you adore VI. With VIMScripts, you can bend it to your will.

Cons: You’re not sure how a modal editor is supposed to work, and you’re not comfortable finding or writing your own scripts to support Python programming.

Plus, you already know that VI would be a fantastic text editor if it came with a solid operating system.

7. Thonny

For: Beginner
Pricing: Free
Category: IDE

Thonny is a Python-specific IDE with Python 3 pre-installed. You can start writing Python code once you’ve installed it.

Thonny is for those who are new to Python. Beginners will find it straightforward to get started because the user interface is kept simple.

It contains several features that make it an excellent IDE for full-fledged Python development. Some of its features are syntax error highlighting, debugger, code completion, step through expression evaluation, etc.

Quick Tip: If you are a beginner, go to View and click variables. This will open variables view that contains your program’s variable list and their values.

Pros: You’re a beginner Python user looking for a ready-to-use IDE.

Cons: However, Thonny is too simple for most usage for more experienced Python developers, and the built-in interpreter is something to work around, not with. Furthermore, as a new tool, you may encounter challenges that do not have immediate remedies.

8. PyCharm

For: Professional
Pricing: Freemium
Category: IDE

Another IDE we want to show you are PyCharm. It is one of the best (and only) full-featured, specialized Python IDEs. PyCharm installs fast and easily on Windows, Mac OS X, and Linux systems and is available in both paid (Professional) and free open-source (Community) edition:

  • Community is a lightweight, free open-source version that is ideal for Python and scientific programming.
  • Professional is a premium version of the IDE that includes support for Web development.

Moreover, PyCharm includes all of the essential features of a good IDE, including code completion, code inspections, error-highlighting and fixes, debugging, a version control system, and code refactoring.

In addition, PyCharm enables Python development directly. You can create a new file and begin coding. PyCharm includes support for source control and projects and the ability to run and debug Python straight from within the program.

Pros: It’s the de-facto Python IDE environment, with a thriving community and a wealth of resources. It edits, runs, and debugs Python out of the box.

Cons: On the other hand, PyCharm can be slow to launch, and the default settings for existing projects may need to be tweaked.

9. Spyder

For: Beginner, Professional 
Pricing: Free
Category: IDE

Spyder is an open-source integrated development environment (IDE) that is typically used for scientific development.

Installing the Anaconda distribution is the quickest way to get started with Spyder. Anaconda is a popular distribution for data science and machine learning, in case you didn’t know.

Spyder’s target audience is data scientists who use Python, which is intriguing. Spyder works nicely with popular Python data science libraries such as SciPy, NumPy, and Matplotlib.

Spyder has most of the “standard IDE features,” such as a code editor with syntax highlighting, Python code completion, and even a built-in documentation browser. However, when compared to PyCharm, it lacks features.

best IDE for python Spyder

In addition, A special feature of Spyder is “variable explorer”, which allows you to display data using a table-based layout right inside your IDE. You might fall in love with this unique feature if you undertake data science work with Python daily. Also useful is the IPython/Jupyter integration.

Overall, Spyder feels more basic than other IDEs.

Pros: You’re a data scientist who works with Python’s Anaconda distribution.

Cons: More experienced Python programmers may find Spyder to be too simple to use on a daily basis, preferring instead to use a more comprehensive IDE or customized editor solution.

10.GNU Emac

For: Beginner
Pricing: Free
Category: Code Editor

Back before the iPhone vs Android war, before the Linux vs Windows war, even before the PC vs Mac war, there was the Editor War, with GNU Emacs as one of the combatants. Billed as “the extensible, customizable, self-documenting, real-time display editor,” GNU Emacs has been around almost as long as UNIX and has a fervent following.

Always free and available on every platform (in one form or another), GNU Emacs uses a form of the powerful Lisp programming language for customization, and various customization scripts exist for Python development.

GNU Emacs - Wikipedia

Pros: You know Emacs, you use Emacs, you love Emacs. Lisp is a second language, and you know the power it gives you means you can do anything.

Cons: Customization means writing (or copy/pasting) Lisp code into various script files. If it’s not already provided, you may have to learn Lisp to figure out how to do it.

IV. Which Python IDE is Right for You?

Only you can make this decision, but here are some advices:

  • Firstly, new Python developers should experiment with solutions that require as little customisation as feasible. The fewer things that get in the way, the better.
  • Then, look for code editor solutions if you use text editors for other jobs (such as web pages or documentation).
  • Last but not least, if you’re already working on other applications, you might find it easier to include Python into your toolkit.

Conclusion

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