Hello, everyone! In the previous article, one of the most shocking news of the Indian Startup was described which was the resignation of the Flipkart Group CEO and Chairman, Binny Bansal. Take a look out the article here in detail. In this, a list of IDEs and Editors will be listed for programming in Python. Python is growing at an amazing rate and it is important for all developers and coders (specifically).
Python is a programming language that lets you work quickly and integrate systems more effectively. The language is an object-oriented language which supports many functions, packages and libraries. These package and library support helps in building amazing products which range from websites to automated and intelligent systems. Besides this, the language works fast, efficiently and also is easy to code. The only major thing to take care is about the indentations within the code.
Programming in this language is simple and not very complex. Like every other language (like Java, PHP, .NET and more), it is written either in an IDE (also known as Integrated Development Environment) or a normal text editor. A list of IDEs and editors is provided along with their downloadable link. This allows better effectiveness in developing the systems using Python. Considering some of the best tools, the list is limited to certain IDE’s and editors, though the usage depends on the developer.
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List of Tools (IDEs and Editors) used for Programming Python
Following is the list of tools wherein the code can be written and made to run:
1. Jupyter Notebook: The Jupyter Notebook is an open source software tool, which is used for computing across different interactive programming languages. One of the major use of Jupyter Notebook is done by Python language. It is a web-based tool which easily deploys the code and generates the output in the same window.
Benefits and drawbacks of the Jupyter notebook are:
|Multiple language support||Internet required to run the server|
|Easy access to jump between the code and generate output within the same window||Code reviewing difficult|
|Better visualizations and graph generation in the notebook||High complexity in order to manage the code and work done|
To use this open source web-based tool, Download Jupyter Notebook here
2. PyCharm: This tool is a desktop-based tool, provided by JetBrains, a software company based in Prague, Europe. The tool, PyCharm comes with two different versions, one is a paid version, called as the ‘PyCharm Professional Edition’ and other is the open source, a free version called the ‘PyCharm Community Edition’. The tool consists of multiple language support, similar to Jupyter Notebook and can be interconnected with different interpreters across different platforms.
Benefits and Drawbacks of PyCharm are as follows:
|Open Source||Heavy, a bit slow to startup|
|Multiple language support||Limited features in the open source tool|
|Desktop-based tool||The runtime environment is a challenge.|
|Better integration with frameworks and interpreters||Cloud support limited|
|Better code analysis and debugging||Integration with certain tools is difficult|
To use the PyCharm tool for your coding, Download PyCharm here
3. Spyder: Spyder stands for Scientific Python Development Environment and is a really powerful tool written in Python and designed for Python development. With some of the advanced analytical and processing features, Spyder allows developers to analyse the data in a much effective way and allows to produce great results. Spyder integrates with a number of prominent packages in the scientific Python stack.
Benefits and Drawbacks of Spyder are as follows:
|Open Source||Limited features as compared to PyCharm|
|More scientific and numerical ability support||Challenges in the configuration of few packages|
|Desktop-based tool||Less support with third-party interpreters and languages|
|Light and fast compared to PyCharm||No git integration|
|Support of Python Profiler||–|
To use Spyder for your Python programming, Download Spyder here
4. Atom: Atom IDE is one of the most powerful tools. It is heavy and eats up lots of memory of the system, but works effectively and seamless with a number of different packages, libraries and tools. The tool supports cross-platform editing and it becomes easier to edit/run codes across, Windows, Mac or Linux.
Benefits and Drawbacks of Atom are as follows:
|Open Source||Very heavy|
|Multiple language support||Performance issues|
|Better integration with frameworks and interpreters|
|Better code analysis and debugging|
To use Atom as your tool for Python programming, Download Atom here
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5. Editors like Sublime/vim/Notepad++: Text editors can also be used to jot down the code and build systems with complex computational algorithms and integration of different packages and libraries. The processing matters as compared to an IDE, though for practising purposes, text editors are highly recommended. Benefits and Drawbacks are as follows:
|Open Source (Few text editors are paid)||No autocompletion feature|
|Multiple language support||Performance issues|
|Cross-platform support for select editors||Low integration capabilities as compared to IDEs|
|Light and easy to use||Slow process|
|Lack of debugging mode in certain editors|
Summarization of tools, editors and IDEs
To sum it up, all sorts of tools, editors and IDEs are good and it completely depends on the developer on what to use and what not.
Though, in brief, if you have a good system with an ample amount of RAM and GPU, use either PyCharm or Atom. If your system is a slightly low end, go ahead with Spyder or Jupyter. Jupyter you can opt if you have a good network connection and if your project deals with lots of visualization analysis. Editors can be used in any system depending on your comfortability.
Though, if you are just starting off, then choose any one editor and code in that. This will help you remember the syntax and improve your coding skills to a larger extent as compared to using an IDE.
Do comment your views on the same and if in case, there is something missing, then kindly mention in the comment section below.
Happy Reading! 🙂
Author: Akshay Rakesh Toshniwal