Best Python IDEs and Code Editors

Python is one of the most widely used programming languages, because of its streamlined syntax and emphasis on plain language. Additionally, it may run on widely used operating systems like Windows, Mac, Linux, Android, and more. Python is an excellent platform for practically any business requirement because of its many use cases. Python is capable of handling needs for software development, web apps, artificial intelligence, machine learning, deep learning, and data visualization, to mention a few.

When it comes to developing Python applications, having the right Integrated Development Environment (IDE) or code editor can greatly enhance your productivity and coding experience. Python, as mentioned above is one of the most popular and versatile programming languages that offers a variety of options for developers to choose from. These IDEs and code editors provide a range of features, from intelligent code completion and debugging capabilities to customizable interfaces and extensive plugin ecosystems.

Hire Python Developers who can take advantage of these IDEs’ and code editors’ capabilities. Python code editors function as a platform for text editors that emphasizes facilitating source code editing. Its whole feature set is geared toward enhancing code development. The main distinction between Python code editors and integrated development environments (IDEs) is that IDEs include a GUI while code editors do not. The coding process can be optimized using an IDE that includes a code editor. Like IDEs, the majority of code editors will support a variety of scripting languages and frameworks, including HTML, PHP, Ruby, and others.  

Best Code Editors for Python in 2023


A robust and well-liked Integrated Development Environment (IDE) specifically made for Python development is called PyCharm. It provides a full range of tools and features that speed up the development process and raise developer productivity. It has a sophisticated code editor, debugging tools, support for testing frameworks, integration of testing frameworks, integrated database tools, and plugins and extensions. The Community Edition and the Professional Edition are the two editions that are offered. A better programming experience and more productivity are made possible by its user-friendly interface and comprehensive collection of functionality.


PyDev is an integrated development environment built as a plugin for the Eclipse platform. It provides a comprehensive development environment for Python, offering features like code completion, debugging, refactoring, and integration with version control systems. With PyDev, developers can leverage the powerful capabilities of Eclipse while enjoying Python-specific tools and functionality. It supports various Python frameworks and libraries, making it suitable for a wide range of projects. PyDev’s integration with Eclipse’s ecosystem and its extensive feature set makes it a popular choice for Python developers seeking a robust and customizable IDE.

Python Notepad++

Python programming can be done with the help of the well-known code editor Notepad++, which offers a compact & effective environment. It may be combined with outside tools & command-line interfaces to execute & test Python scripts, and it has syntax highlighting basic code completion and indentation capabilities. For developers who are constantly on the road, it is also portable and may be used to operate from a USB drive without the requirement for installation. It would be advised to use a specialist Python IDE for Python development projects that are more complex.

Sublime Text 

It is well known that Sublime Text is a top-notch code editor with a simple yet effective user interface and strong capabilities for effective writing, including support for Python development. It is well known for its responsiveness, speed, and variety of customization possibilities. With its “Goto Anything” feature, users may swiftly browse files, symbols, or lines of code by utilizing a fuzzy search. With the help of its Package Control system, it also provides a wide collection of packages and plugins in addition to robust search and replace capabilities. Also supported are multi-pane layout, split editing, distraction-free mode, and debugging tools. Sublime Text is a popular option when you hire dedicated developers as they can help you leverage the combination of speed, customization possibilities, strong search capabilities, and a large ecosystem of packages.


The popular text editor Vim is renowned for its effectiveness, speed, and robust editing features. Users may complete intricate editing tasks with few keystrokes with its modal editing mechanism. It also has considerable customizability, search and replace capabilities, auto-indentation, bracket matching, code folding, and syntax highlighting. Vim is a popular option for Python programmers looking for a highly effective and customized coding environment. It works well with external tools, provides case-sensitive and global search and replace operations, and supports regular expressions. Its community is dynamic and energetic, and they have created plugins and extensions to increase its capability.


The Python scientific community has been maintaining Spyder since 2012. It is a potent IDE for Python-based scientific computing and data analysis. It supports scientific libraries like NumPy, SciPy, Pandas, Matplotlib, and sci-kit-learn and has an easy-to-use UI and interactive terminal. Additionally, Spyder supports unit tests, version control systems, code refactoring, syntax highlighting, code linting, and code completion. Users can customize this IDE via plugins and APIs, and it also creates interactive visualizations. Spyder is a great option for developers, data scientists, and academics working on scientific projects.


Jypter is a powerful open-source Python development tool. It allows for the iterative and experimental writing and execution of Python code thanks to its web-based interface and notebook format. Creating well-documented Python projects, tutorials, or data analysis reports is simple thanks to Jupyter’s support for Markdown. It is made easier to explore and visualize data because of the interaction with well-known Python libraries like NumPy, Pandas, and Matplotlib. To facilitate group cooperation and information sharing, collaborative features make it simple to share notebooks. 

By providing a comprehensive record of code, data, and visualizations in a single document, Jupyter encourages repeatability. Users can further modify their environments with a variety of plugins and extensions thanks to Jupyter’s extensibility. Jupyter offers an interactive, collaborative, and customizable environment for Python scripting, data analysis, and documentation, making it a versatile and useful tool for researchers, data scientists, and developers.


GitHub created Atom, an open-source code editor for Python. To improve the coding experience, it provides a cutting-edge, user-friendly interface with strong functionality. Users may alter the editor’s appearance and functionality by installing themes and packages, and its extensive package ecosystem provides language-specific support and integration with well-known tools. Atom’s search and replace features, which also support regular expressions and multi-line searches, help you save time and effort. Additionally, split views and panes are supported, enabling effective multitasking.

Installing and managing packages is made easier by Atom’s built-in package manager. Atom can use a lot of resources despite its performance, especially when fully modified or loaded with many packages. Thanks to its ongoing development and extensive community support, an atom is a viable option for Python development despite its resource-intensive nature.


In conclusion, the best Python developer tools provide a variety of features and abilities to improve coding efficiency and teamwork. These tools accommodate various requirements and tastes, from feature-rich integrated development environments like PyCharm and Spyder to configurable code editors like Atom and Sublime Text. For data analysis and documentation, Jupyter notebooks offer an interactive interface. These tools enable Python developers to boost productivity, streamline workflow, and produce high-caliber applications.