Top 10 Python IDEs And Code Editors

Are you also getting started with Python but confused about which python IDE or code editor to use? Well, this blog is written for you!!
This blog will give you a complete walkthrough of the available python IDEs & code editors and which is best suited for your work.

In this blog we will cover:

• What is an IDE?
• What is a Code Editor?
• Top 10 Python IDEs and code editors

So, Before moving ahead, let us first see what is an IDE and code editor.

What Is An IDE?

An integrated development environment (IDE) is software for building applications that combines common developer tools into a single graphical user interface (GUI). An Integrated Development Environment is also one of these projects created to bind the tasks of writing, debugging, testing, and executing the code of the software.

An IDE typically consists of:

• Source code editor: A text editor that can assist in writing software code with features such as syntax highlighting, checking for bugs as code is being written.
• Local build automation: Utilities that automate simple, repeatable tasks as part of creating a local build of the software for use by the developer, like compiling computer source code into binary code, packaging binary code, and running automated tests.
• Debugger: A program for testing other programs that can graphically display the location of a bug in the original code.

Features of IDEs

1. Uses high-performing libraries or toolkits that enable advanced coding.
2. Automated.
3. More feature collection.

What Is A Code Editor?

A code editor is a text editor that highlights the syntax and formats the code. Advanced code editors can develop and modify code. Some common features shared by IDE and code editor is that they enable developers to store and reopen scripts, run code on them, debug, highlight syntax, etc.

Features of Code Editors

1. libraries and toolkits are less as compared to IDEs.
2. Manual.
3. Few features.

10 Best Python IDEs & Code Editors

To help you choose your Best Python IDEs and code editors, we have compiled a list of some of the popular Python IDEs and code editors:

1. PyCharm
2. Visual Studio Code
3. Sublime Text
4. Jupyter Notebook
5. Atom
6. Codespaces
7. Vim
8. Spyder
9. Thonny
10. Pydev

1.) PyCharm

Developed by JetBrains and released in 2010, PyCharm is a cross-platform IDE that offers a variety of features such as version control, graphical debugger, integrated unit tester, and pairs well for web development and Data Science tasks.

PyCharm is a dedicated Python Integrated Development Environment (IDE) providing a wide range of essential tools for Python developers. With PyCharm’s API, developers can create their custom plugins for adding new features to the IDE.

Platform Compatibility: Windows, macOS, Linux

Advantages:

• Provides framework support.
• Provides a smart platform when it comes to error detection, auto code completion.
• A customizable interface increases productivity.
• Supports cross-platform development. With this, developers can transcribe scripts on diverse platforms.

PyCharm is available in three editions:

1. Community (free and open-sourced)
2. Professional (paid)
3. Edu (free and open-sourced)

2.) Visual Studio Code

Released in 2015, Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS, and Linux.

It comes with built-in support for JavaScript, TypeScript, and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity).

We can add extensions to make a Python development setting. It delivers support for embedded Git control, debugging, syntax highlighting, code refactoring, and snippets.

Platform Compatibility: Windows, macOS, Linux

Use Case: You’re a dedicated developer who changes languages regularly, wants to learn one tool for all your programming needs, and isn’t too interested in visual customizations.

Advantages:

• Good layout and smart interface
• Provides multi-language support and many additional functionalities
• Supports the use of multi-split window and vertical orientation trait.

3.) Sublime Text

Written by a Google engineer, Sublime Text is a cross-platform IDE established in Python and C++.

Sublime Text IDE for Python on Windows has elementary inbuilt support for Python. It is rapid and can be easily modified as per your requirement to form a complete development ecosystem. You can set up packages for auto-completion, debugging, and code printing.

It is built in such a way that it supports numerous other mark-up and programming languages. The code editor permits users to add supplementary functions with the assistance of plugins. Sublime Text is the best free Python IDE.

Platform Compatibility: Windows, macOS, Linux

Use Case: You’re a long-time coder who wants a customizable but lightweight tool for all your favorite programming languages and are not afraid to take time to set it up.

Advantages:

• Good compatibility with language grammars
• Permits users to select specific preferences
• GoTo Definition feature to produce an application-wide index
• Dominant cross-platform user interface toolkit

4.) Anaconda & Jupyter

Anaconda is a free and open-source distribution of the Python languages for data science and machine learning-related applications. It can be installed on Windows, Linux, and macOS systems. Conda is an open-source, cross-platform, package management system. It comes with various tools like JupyterLab, Jupyter Notebook, Spyder, Glueviz, Visual Studio Code

Jupyter Notebook is a web-based interactive computational environment for creating Jupyter notebook documents that supports several languages like Python, R, etc., and is largely used for data analysis, data visualization, and more. Also, it is a cloud-based, open-source tool useful for programmers just starting with data science.

Platform Compatibility: Windows, macOS, Linux

Advantages:

1. Jupyter supports markdown and allows you to add HTML elements from images to videos.
2. It also provides features like data cleaning and transformation, numerical simulation, statistical modeling, and data visualization.
3. It generates a rich and interactive outcome
4. It helps to edit snippets before having to run them

5.) Atom

Released in 2014 and developed by Github, it is the best in source-code hosting and software version controlling, Atom is a lightweight and cross-platform Code Editor for Python and many other programming languages.

It provides a lot of features in the form of packages, that enhance its core features. It’s built on HTML, JavaScript, CSS, and Node.js, with the underlying framework being Electron.

Platform Compatibility: Windows, macOS, Linux

Use case: You’re a multi-language developer who wants a free CE with extensive customization but doesn’t want to spend too much time fine-tuning it.

Advantages:

• Simple to use
• Allows UI customization
• Support from the team at GitHub
• Quickly open the file to retrieve information and data

6.) Codespaces

Developed by Microsoft and released in May of 2020, Codespaces is a new cloud-based cross-platform CE usable entirely in your browser. It includes a browser-based text editor and support for Git repositories, extensions, and a built-in command-line interface. It is even usable offline and will update once an internet connection is reestablished.
Codespaces can either be launched directly from Github or through a local install of Visual Studio.

Use Case: You’re a developer that often works on collaborative projects or contributes to open-source projects and doesn’t mind limited customization options.

Advantages:

• Good for team projects
• Usable anywhere on any device
• No install or setup
• Integrated with Github from the ground up

7.) Vim

Vim is a highly configurable text editor built to make creating and changing any kind of text very efficient. It is included as “vi” with most UNIX systems and with Apple OS X.

Vim features are:

• persistent, multi-level undo tree
• extensive plugin system
• support for hundreds of programming languages and file formats
• powerful search and replace
• integrates with many tools

Advantage:

• Software is feature-rich and provides a good user experience with community support.
• Recognition and conversion of file formats (UNIX, MS-DOS, or Mac)

8.) Spyder

Spyder is a free and open-source scientific environment written in Python, for Python, and designed by and for scientists, engineers, and data analysts.

It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.

Platform Compatibility: Windows and macOS.
For Linux, we recommend the cross-platform Anaconda distribution, which includes Spyder and many other useful packages for scientific Python.

Use Case: You use Python solely for data science or machine learning and want an IDE with tools tailored to your coding needs.

Advantages:

• Community support
• Rich in development tool features
• Complete documentation

9.) Thonny

Thonny is an IDE developed for beginners. It provides step-by-step assistance to the programmer.

Some prominent features are:

• Easy to get started
• No-hassle variables
• Simple debugger
• Step through expression evaluation
• Highlights syntax errors
• Beginner-friendly system shell
• Simple & clean pip GUI

Use Case: You’re a newer Python developer that wants more features than is offered by IDLE but don’t want to jump to a more involved IDE yet.

Advantages:

• IDE adapted for beginners’ learning
• Basic and functional user interface
• Does not require a large amount of memory to run

10.) Pydev

PyDev is a Python IDE for Eclipse, which may be used in Python, Jython, and IronPython development. It comes with many frameworks such as Django integration.

Advantages:

• Easy to learn and also includes several features (CPython, Jython, IronPython)
• The Pydev plugin to code in Python on Eclipse
• Code Completion and Code Analysis

Conclusion

Python is one of the most well-known languages and perhaps even the most popular. As with most major languages, you have a multitude of useful, practical, and powerful IDEs, whether they are paid or free. In this blog, we have seen the top 10 python IDEs and code editors

Related References

• Python For Beginners: Overview, Features & Career Opportunities
• An Introduction To Python For Microsoft Azure Data Scientist | DP-100
• Python For Data Science: Why, How & Libraries Used
• Data Scientists vs Data Engineers vs Data Analyst

Next Task For You…

Python’s growth is very promising in the near future. Gaining the right skills through the right platform will get you to the perfect job.

We are launching our course Python For Data Science (AI/ML) & Data Engineers (Python For Beginners) which will you help and guide you towards your first steps to Python.  Join our Waitlist to know more about it.

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