There is no better way to build in Python than by using an IDE (Integrated Development Environment). They not only make your work much easier as well as logical; they also enhance the coding experience and efficiency.

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4. Best Ide For Python Mac

I strongly recommend sublime text. It's cross-platform (windows/linux/mac) and works. Wing Python IDE. Category- IDE Platform- Windows, Linux and Mac. This IDE is designed specifically for development in Python and comes in three different editions i.e. 101, Personal and Pro. Among all, the 101 version is the simplest version having a minimalist debugger, basic editor and simple search.

Sure, everyone knows this. However, the problem is, how do you pick the best environment for Python development when there are so many options? This often becomes an issue that beginner developers have to face.

In this article, we’ll provide an overview of the best IDEs for Python that are popular among coders and a few other options that are worth considering. But before we delve into it, let’s first explain what an IDE means.

Table of Contents

• What is an IDE, and Why Do You Need It?
• The Most Popular IDEs Among Python Developers
• Best Python-compatible IDEs for ML, AI, and BD
• Other IDEs for Python Development

What is an IDE, and Why Do You Need It?

An Integrated Development Environment is a software package that developers use to create programs. It’s meant to maximize a programmer’s productivity by incorporating closely related components with simple user interfaces. Essentially, it’s a tool that improves the process of creating, testing, and debugging source code — it makes the job easier.

Some of the tools IDEs use include:

• A text editor
• Compiler and/or interpreter
• Assembly automation tools
• Debugger.

There’s a seemingly similar term an integrated development environment — code editor. Let’s first discuss the differences and commonalities of both tools.

What Is a Code Editor?

A code editor is just a text editor that highlights the syntax and formats the code. Advanced code editors can develop and modify code.

IDE	Code Editor
Uses high-performing libraries or toolkits that enable advanced coding	Lacks libraries and toolkits
Automated	Manual
Rich feature collection	Fewer features

Distinctive Features of IDEs and Code Editors

What qualities do both IDEs and code editors share? They enable developers to:

• Store and reopen scripts
• Run their code on it
• Debug
• Highlight syntax.

The Most Popular IDEs Among Python Developers

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Now that you have a basic understanding of development tools, including the qualities they possess, we can take a closer look at several favored examples.

PyCharm

PyCharm was developed by JetBrains, a notable software development company. It is considered one of the best IDEs for Python when it comes to AI and ML. Most importantly, Pycharm merges its libraries – like Matplotlib and NumPy – to enable developers to explore other options for work.

Compatibility: Windows, MacOS, Linux

Top plugins and features:

• Built-in developer tools
• Capabilities for remote development
• Live editing mode
• IPython Notebook.

Pros:

• PyCharm supports web development frameworks, including Pyramid, Flask, and Django.
• Offers a smart code feature for more precise and faster bug fixes.
• Allows to develop on remote hosts thanks to Docker and Vagrant connections and ssh terminal.

Cons:

• The interface might seem bulky.
• The Pro version can seem too expensive.

Visual Studio Code

Visual Studio Code is sometimes mistaken for Visual Studio IDE, which isn’t a common tool in the Python world. VS Code is a complete code editor with premium features and many coders say it’s the best IDE editor out there.

Compatibility: Windows, Linux, Mac OS.

Top plugins and features:

• Built-in git
• Extensions for customizing the tool
• Breakpoints for debugging
• An interactive console.

Pros:

• Its Electron framework allows you to work with VS Code on almost all platforms.
• You can debug the code directly from the editor,
• Supports multiple keyboard shortcuts to speed up coding.

Cons:

• Limited features for debugging.
• Doesn’t have built-in templates.

Sublime Text

Sublime Text can be considered the best Python editor because it’s simple, universal, and convenient. It’s widely used by most coders, and across different platforms.

Compatibility: Windows, Linux, and Mac OS.

Top plugins and features:

• Easy navigation for high performance
• Support for different packages to customize the editor
• Code snippets for replicating common code with just one keyword
• Immediate project switching and split editing.

Pros:

• Works with different markup languages.
• Enables users to choose which projects they want to work on.
• Comes with a key tool that enables a wide index of classes and functions.
• Provides a strong API and an organized ecosystem for high performance.

Cons:

• A bit advanced for beginners
• Its git plugin isn’t very powerful.

VI/Vim

Vim is amongst the top 5 in our list of the best IDE tools for Python. It is a modal editor that splits file viewing from file editing. It’s a huge step ahead of the initial Vi, with more powerful features.

Compatibility: Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, and MorphOS.

Top plugins and features:

• Scripts that allow you to perform almost all of the programming tasks in Python.
• Ctags for better tag navigation.
• Built-in basic word completion.

Pros:

• It has a keyboard interface to improve efficiency.
• It supports many plugins (e.g., version control, file management).
• Can be extended with different functionality via the .vimrc file (e.g., highlighting search results.

Cons:

• The interface might seem clumsy; some developers find it inconvenient to use.
• Its modal editor may take time for users to learn.

GNU Emacs

GNU Emacs also competes for the title of the best Python editor. It’s often described as an extendable, self-documenting editor with an on-the-go display. Though not entirely new in the industry, Emacs is constantly upgraded to meet developers’ needs.

Compatibility: Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, and MorphOS.

Top plugins and features:

• It adopts the Lisp coding language
• Syntax coloring
• Unicode support.

Pros:

• As a second language, Lisp enables developers to perform better.
• Emacs is compatible with many different platforms.
• It enables a variety of customization scripts that developers can use.

Cons:

• Users might have to spend a little more time learning the editor’s complex customization process.
• It is more complex to use than some of the other IDEs.

IDLE

IDLE code editor is popular among students, as it is supplied together with Python. It’s simple to work with, universal, and supports different devices. It’s no wonder they call it a disposable IDE, as it helps to learn the basics before moving on to more sophisticated tools.

Compatibility: Windows, Linux, and Mac OS.

Top plugins with features:

• tkinter GUI toolkit
• Multi-window interface
• Configured with dialog boxes, browsers, and other configurations.

Pros:

• IDLE allows users to highlight errors, auto code, and accurately identify them.
• IDLE has a top lighter Python shell.
• Its inbuilt correction feature boosts performance.
• It enables users to search and replace files in the editor.

Cons:

• IDLE doesn’t enable copying to the library.
• Scripts cannot exceed 100 lines of code.

Best Python-compatible IDEs for ML, AI, and BD

Python is one of the go-to languages in machine learning, artificial intelligence, big data, and related fields. We’d like to dedicate a separate section to IDEs that are suitable for Python developers in these areas.

Atom

Atom is an open-source editor that’s compatible with virtually every programming language like PHP, Java, etc. It is regularly updated, reliable, and can be used universally. Github built Atom with powerful features that offer a good programming experience, including plugins, such as Packages — for SQL queries, Markdown Preview Plus — for editing, visualizing, and rendering LaTeX expressions.

Spyder

Spyder is created explicitly for data science. It’s open-source and compatible with numerous platforms making it a better choice for beginner IDE users. It merges its key libraries – like NumPy, Matplotlib, and SciPy – for perfect development.

JuPyter/IPython Notebook

Best Python Ide For Machine Learning

Jupyter is web-based and enables developers to build and operate scripts or notebooks. It is relatively simpler and more user-friendly. Jupyter also uses Seaborn and Matplotlib for data visualization.

Other IDEs for Python Development

Here are a few more IDEs that are less known or less popular, but are still worth considering.

Eclipse + PyDev

Download: Eclipse, PyDev

Eclipse is an open-source editor and one of the go-to Python IDEs for Windows. Its collection of extensions and plugins is very extensive and enough to build almost anything you want. Along with the PyDev extension, it allows for smart debugging and improves the code quality.

Eric Python

Eric is another less popular Python IDE, but it is still powerful and efficient. Whether it’s for commercial or private use, Eric offers a dimension of functionality that suits multiple purposes. It runs on all platforms.

Wing

Wing is a notable IDE for Python that helps with smart coding. With its simple-to-use editor, a powerful debugger, the possibility for remote coding, error-checking and many other features, it’s worth your attention, even though it’s not at the top of any popularity charts.

PyScripter

PyScripter aims to beat other Python IDEs for Windows with its superb functionality. It’s also a great Python IDE for Mac, with its commercial version available for most programming languages. PyScripter has a rich feature set, but despite that, it’s pretty lightweight.

Pyzo

Pyzo is a free open-source coding tool that will work with any Python interpreter, even the Conda environment. Two of its standout features are simplicity and interactivity. It’s easy to use, even for beginners.

Thonny

Thonny was developed by the University of Tartu with a beginner programmer in mind. It’s easy to start using since its interface doesn’t have any complicated or distracting features from the get-go. Another perk for beginners is that you can see step by step how Python evaluates your expressions.

Conclusion

We have reviewed a rich collection of the best Python IDEs and other tools. Deciding on which tool to use is a matter of convenience and one’s proficiency level. Of course, there are all-time favorites like PyCharm, but you can always try out a few other tools and see which ones work best for you.

Some IDEs are better for beginners, while others are more professional; each of them has its unique features and design. We’ve put together this list to give you a variety to choose from.

Get More Done

Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation.

Write Better Code

Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection.

Find Bugs Faster

Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container.

Wingware's 20 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive.
Supported Platforms | Python Versions

Intelligent Editor

Wing's editor speeds up interactive Pythondevelopment with context-appropriate auto-completion and documentation,inline error detection and code quality analysis, PEP 8 enforcement, invocationassistance, auto-editing, refactoring, code folding, multi-selection,customizable code snippets, and much more. Wing can emulatevi, emacs, Eclipse, Visual Studio, XCode, and MATLAB.

Powerful Debugger

Wing's debugger makes it easy to fix bugs and write new Python code interactively.Use conditional breakpoints to isolate a problem, then step through code, inspect data,try out bug fixes with the Debug Console's command line, watch values, and debug recursively.You can debug multi-process and multi-threaded code launched from the IDE, hosted in a webframework, called from an embedded Python instance, or run on a remote host, VM, orcontainer. Wing also provides an array and dataframe viewer for scientific anddata analysis tasks.

Easy Code Navigation

Wing makes it easy to get around code with goto-definition, find uses,find symbol in project, editor symbol index, module and class browser, keyboard-drivensearch, and powerful multi-file search. Visit history is stored automatically, so you caninstantly return to previously visited code. Or define and traverse categorizedbookmarks that track automatically as code changes.

Integrated Unit Testing

Wing supports test-driven development with the unittest, doctest, nose, pytest, and Django testing frameworks. Failing tests are easy to diagnose and fix with Wing's powerful debugger, and you can write new code interactively in the live runtime context set up by a unit test.

Remote Development

Wing's quick-to-configure remote development support delivers all of Wing'sfeatures seamlessly and securely to Python code running on a remote host, VM, or container.Remote development is possible to hosts running OS X and Linux, including Docker, AWS, Vagrant,WSL, and Raspberry Pi.

Customizable and Extensible

Wing offers hundreds of configuration options affecting editor emulation, displaythemes, syntax coloring, UI layout, and much more. Easily switch to and from dark mode,magnify the interface for presentations and meetings, and use perspectives to managetask-specific UI configurations. New IDE features can be added by writing Python code thatcalls down to Wing's scripting API. You can even develop and debug your extension scriptswith Wing.

And Much More

Wing supports project management and revision control with Git, Mercurial, Perforce,Bazaar, Subversion, and CVS. Other features include support for virtualenv, a difference/merge tool,indentation style conversion, and executing OS command lines. Wing runs on Windows, OS X, andLinux, and also supports remote development to Raspberry Pi and other ARM Linux devices.

Not all features are available in Wing Personal and Wing 101. Compare Products

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We are a specialized engineering company that writes desktop applications for engineers to perform process simulation and related data analysis. We have been using Wing Pro for the past decade with a small team of developers. We could not be happier with the product and the support!

The debugger and code navigation tools are some of the best features in Wing Pro. It is very easy to trace problems through complicated code. It is easy to jump to areas of code that you need to find. The editor is theme-able and many of our team work in 'dark mode'.

The support is also great. Issues get responded to quickly and fixes pushed within days.

I've been using Wing Pro as my main development environment for 10 years now.I've used it for my open-source projects, my client projects when Iwas working as a freelancer, and now at my work in a corporate environment. I doPython programming almost exclusively, so Wing's Python-centric approach is a good fit forme.

The debugger is first-class. It works on multi-process, multi-thread programs and supportsremote debugging. The editor is great. It's got VI and emacs mode and it's extensible withPython scripts. The support staff is great. I've made many suggestions and requests forimprovement to them over the years, and they've implemented many of them. Bugs are fixedquickly.

Overall, I highly recommend Wing Pro!

Scientific and Data Analysis

Wing's focus on interactive development works well for scientific and data analysis with Jupyter, NumPy, SciPy, Matplotlib, pandas, and other frameworks. The debugger's dataframe and array viewer makes it easy to inspect large data sets.

Web Development

Wing supports development with Django, Flask, web2py, Pyramid, Google App Engine, and other web frameworks. The debugger can step through Django and web2py templates. Wing works seamlessly with code running on a remote host, virtual machine, or container such as Vagrant or WSL.

Animation and Games

Best Ide For Python For Mac

Since Wing's debugger can run in embedded instances of Python, it can be used to develop scripts for Blender, Autodesk Maya, NUKE, Source Filmmaker and other modeling, rendering, and compositing applications that use Python. Wing also works with pygame and other Python-based game engines.

Python Ide For Mac Os

Desktop Apps and More

Wing can develop, test, and debug desktop applications with PyQt, wxPython, Tkinter, and other UI development frameworks. Scripting, Raspberry Pi, and other types of development are also supported.

Best Ide For Python Mac

New in Wing 7

Wing 7 introduces an improved code warnings and code quality inspection system that includes built in error detection and tight integration with pylint, pep8, and mypy. This release also adds code reformatting with Black and YAPF, improved support for virtualenv, support for Anaconda environments, support for Python 3.8, support for Python 3 enums, How-Tos for using Wing with Docker, AWS and PyXLL, easier debugging of modules launched with 'python -m', a new data frame and array viewer, a MATLAB keyboard personality, easy inline debug data display with Shift-Space, code folding for YAML, JSON, and .pyi/.pi files, support for macOS Dark Mode and Catalina, improved stack data display, support for PEP 3134 chained exceptions, callouts for search and other code navigation features, four new color palettes, improved bookmarking, a high-level configuration menu, magnified presentation mode, a new update manager, stepping over import internals, simplified remote agent installation, updated and expanded documentation, improved Debug I/O process management, and much more.

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