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7 Best Python IDE For Developers in 2021
What is a Python IDE…??
A Python Integrated Development Environment (IDE) provides all the essential tools needed for software development with Python training in chennai. It helps to automate the tasks and enhance the productivity and efficiency of the developer. A Python IDE primarily consists of a code editor, a compiler, automation tools, debugging tools, and much more and you can conveniently write, compile, execute, and debug the code with the help of it. Some of the additional requirements for a better Python IDE are – Source Code Backup, Automatic Code Formatting, Debugging Support, Syntax Highlight, and many others.
1. PyCharm:
- Compatible with: Windows, macOS, and Linux
- Active community support
- Smart Code Navigation
- Fast and Safe Refactoring
- Standard Database tools
One of the primary cons that come up with PyCharm is that it has a slow loading time. Other than that, Python is comparatively good in all aspects and is recommended to every developer i.e., from beginner to advanced level.
2. PyDev:
- Supports CPython, Jython, and IronPython
- Code Completion with Auto Import
- Interactive Console
- Find Referrers in Debugger Compatible with: Windows, macOS, Linux, etc.
PyDev is platform-independent & free to use and in particular, for beginners, it may be comparatively harder to download Eclipse and installing the PyDev plugin but if you’ve previously worked with Eclipse then you can surely give it a try to PyDev for Python development.
3. Spyder:
- Open-Source and Cross-Platform IDE
- Rich Community Support
- Compatible with: Windows, macOS, Linux, etc.
- iPython Console
- Variable Explorer
Though, the target users for Spyder are mostly Data Scientists and Engineers – if you’re a beginner to intermediate level Python developer you can opt to explore and work with this enriching Python IDE this year.
4. Thonny:
- Easy to Learn
- Compatible with: Windows, macOS, and Linux.
- Support for CPython and MicroPython
- Steps through Expression Evaluation
- Mode for Explaining References
If you’re an experienced Python Developer then you may opt to ignore this particular Python IDE but in case, if you’re a beginner or looking forward to starting with Python anytime soon then you’re strongly recommended to check out Thonny for Python development.
5. IDLE:
- No additional setup or installation required
- Supports Syntax Highlighting
- Debugger with stepping and breakpoint features
- Call stack’s clear visibility
- Compatible with: Windows, macOS, and Linux
IDLE is mostly recommended to beginner-level Python Developers and it is quite good for building simple projects and if you’re looking forward to building some advanced-level projects – you can go with any other Python IDE mentioned in the list.
6. Wing :
- Supports Remote Development
- Integrated Unit Testing Customizable and Extensible IDE
- Version control
- Compatible with: Windows, macOS, and Linux
The wing is very much suitable for all Python developers and you can go with it as per your requirements, for instance – if you’re a novice and need a Python IDE for learning purposes you can go with the free versions or if you are seeking some advanced functionalities, you can opt for Wing Pro or other paid versions.
7. Atom IDE:
- Customizable Interface
- Better Documentation
- Easier Code Navigation
- Diagnostics Availability (errors and warnings)
- Compatible with: Windows, macOS, and Linux.
Though there are many updations and improvements in Atom IDE that are expected to come in the coming times – you can consider exploring it now as well for Python development. So, these are the most recommended Python IDEs that you can consider as per your needs or project requirements. For example – if you’re a beginner in Python Development, you can consider opting from Thonny, IDLE, and Wing; if you’re an experienced one, you can go with PyCharm or PyDev. Similarly, if you need a Python IDE for building basic projects, you can pick out IDLE, or if you want some advanced functionalities, you can consider from Wing and PyCharm or if you’re a Data Science enthusiast, you can surely give it a try to Spyder.
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