We all know that if its the topic of performance and programming Apple’s OS is one of the best to program on and gives optimum performance and in the 21st century Python is one of the powerful languages upon which you can code on.
Its a very powerful language can be used to develop applications in less number of code lines giving the same and better-intended output.
According to TIOBE, Python was the Best language of the year 2018 also. Click on the image to view in Fullscreen.
Like all other languages it can also be written using terminal or command prompt but if you are into IDE or want a Graphical user interface software where you can write the code and can debug the code easily then its a good thing as we are bringing you the list of best IDEs for Python language present currently in the market.
What is Integrated Development Environment (IDE)?
Integrated Development Environment or IDE is an application that provides comprehensive facilities to computer programmers for software development. An IDE normally consists of a source code editor, build automation tools, and a debugger.
Nowadays mostly all IDEs provide auto code completion feature also for example Eclipse for Java.
In this post, I am going to list famous IDEs which developers use and also include some of my favorites too!
BEST IDE FOR PYTHON IN 2019
Nowadays Atom IDE is one of the most popular among all developers. They like the simple interface(just like the notepad) and at the same time provides plugins type of features to install various packages into their Atom IDE without going to the browser.
Atom is a free and open-source text and source code editor for macOS, Linux, and Microsoft Windows with support for plug-ins written in Node.js, and embedded Git Control, developed by GitHub. Atom is a desktop application built using web technologies.
Few of the features of Atom are:-
- open-source text and source code editor for macOS, Linux, and Microsoft Windows
- Support for plug-ins written in Node.js
- Embedded Git Control.
Has more languages available than normal programmers can use, having add-ons and support for their uses: Html, CSS, PHP, composer, JSON, js, and so many more extending with plugins is your friend too. working with bootstrap? there’s an auto-completion plugin as well.
- Performance issues for few developers
- Uses a lot of spare CPU power.
- It’s slow compared to Sublime Text.
You can download this IDE by going on their official IDE website.
2Visual Studio Code
When it comes to the development of applications, Microsoft is hard to ignore. The company had laid the foundation of OS which we now use, and today it’s helping to code applications in C sharp and in other languages too.
Visual Studio Code is a source code editor developed by Microsoft for Windows, Linux and macOS. Like Atom It includes essential support for debugging, embedded Git control, syntax highlighting and also has intelligent code completion, snippets, and code refactoring.
- Debug code right from the editor. Launch or attach to your running apps and debug with breakpoints, call stacks, and an interactive console.
- Review diffs, stage files, and make commits right from the editor. Push and pull from any hosted SCM service.
- Install extensions to add new languages, themes, debuggers, and to connect to additional services. Extensions run in separate processes, ensuring they won’t slow down your editor.
- Support for less programming languages.
- Intellisense and autocomplete are not supported for .Net framework
You can download this IDE from Microsoft’s official website dedicated for Visual Code.
Pycharm is one of my favorite IDE for python programming and is my main daily driver for programming.
PyCharm is an integrated development environment used in computer programming, specifically for the Python language. It is developed by the Czech company JetBrains.
Features of Pycharm
- Features also include language-aware code completion, error detection, and on-the-fly code fixes!
- Use smart search to jump to any class, file or symbol, or even any IDE action or tool window.
- Refactor your code the intelligent way, with safe Rename and Delete, Extract Method, Introduce Variable, Inline Variable or Method, and other refactorings.
- Live Editing Preview lets you open a page in the editor and the browser and see the changes being made in code instantly in the browser.
Cons of Pycharm
- The learning curve is there as with PyCharm you will have a lot of stuff you have no idea what to do with it.
- Its paid. If you serious into web development and stuff you have to buy the Pycharm.
You can download Pycharm by visiting the JetBrains’ official site dedicated for the IDE.
No its not the movie but a Python IDE. Spyder is an open source cross-platform integrated development environment for scientific programming in the Python language.
It’s not much known or used IDE but it is one of the IDEs dedicated for scientific programming, and if you are into such stuff this IDE should be your first pick!
Features of Spyder
- Interact with and modify variables on the fly.
- Plot a histogram or time series, edit a date frame or Numpy array, sort a collection, dig into nested objects.
- Find and eliminate bottlenecks to unchain your code’s performance.
- Instantly view any object’s docs, and render your own.
- It has its own Terminal.
- Render data -driven documents using Spyder Reports.
Cons of Spyder
- Not for general programmers.
- don’t have support for VCS systems
You can download Spyder by going to their official website
Okay so if you are new into Python programming you might not hear of it as its uses are more complex.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.
Uses include data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Features of Jupyter Notebook
- The Notebook has support for over 40 programming languages, including Python, R, Julia, and Scala.
- Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
- Leverage big data tools, such as Apache Spark, from Python, R and Scala.
- You can use Docker and Kubernetes to scale your deployment, isolate user processes, and simplify software installation.
- You can deploy the Notebook next to your data to provide unified software management and data access within your organization.
Cons of Jupyter Notebook
- In-memory variables can be overwritten
- Python lack of type safety + Jupyter’s arbitrary execution can make long notebooks a nightmare to handle. The problem may also exist with other languages
- Notebooks cannot be used as a programming asset – functions written in a notebook cannot be invoked using import statements
- Tool support for notebook files (such as ipynb) can vary – Gitlab provides decent support but Bitbucket, for instance, doesn’t even parse the JSON.
- Kernel death/restart does occur with the backend – although this is not a Jupyter level issue always.
(You might want to look some more cons then head over to this link)
You can download Jupyter from here.
I would like to say that if you are a general programmer you can go with Pycharm or Atom anyway. But if you are into scientific programming or programming that involves visualization then go for Spyder.