Top 10 development environments for python programming
What is the development environment?
The development environment provides an interface and convenient view for the development process. It helps to write, build, test, and debug programs.
Here, in this article we will discuss development environment programs for python programming.
10 python development environment programs are listed below :
- Pycharm
- Jupiter notebook
- Visual studio
- Spyder
- Atom
- Eclipse+ Pydev
- Thonny
- Cloud 9
- Vim
- Sublime text
1.pycharm:
Platform: Linux, macOS, Windows
For: Professional
website: https://www.jetbrains.com/pycharm/
Pycharm is developed by the JetBrains. It has two versions pycharm professional edition and pycharm community version. Pycharm community version is free whereas pycharm professional is paid one.
Pycharm features are it is debugger, command line, local history, version control, database interface. We can able to use version control, command line, and connect to the database without leaving IDE thus it saves time and make more productive programming.
2.Jupiter notebook:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: https://jupyter.org/
Project Jupiter is a nonprofit organization created to develop open-source software. It supports 40 programming languages including python R, Julia, and scala. Jupiter notebook is open-source software that allows us to create and share line code, visualization, etc.
Jupiter notebook provides a wide range of workflow in data science, Scientific computing, machine learning, data visualization, data cleaning, and many more.
The highlighting feature of Jupiter notebook is language choice, Share notebook, interactive output, big data integration.
3.Visual Studio:
Platform: Linux, macOS, Windows
For: Professional
Official website: https://code.visualstudio.com
Visual Studio is developed by Microsoft. It is firstly published on 29 April 2015. It is based on an electron framework. Electron or atom-shell is an open-source framework maintained and developed by Github. Visual studio can be used for many programming languages such as Java, Javascript, Node.js,
C++ etc in this case we can use it for python by simply downloading and installing the corresponding plugin to adapt to the environment.
Visual studio has features such as integration of powerful code auto compilation engine also known as IntelliSense, debugging console, and terminal to launch server command. It has extension-based architecture so it can be extended by adding successive component as needed this make it outstanding.
4.Spyder:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: https://github.com/spyder-ide/spyder
Spyder was developed by Pierre Raybaut in 2008. It is open-source and free for everyone. It is mainly used for scientific development. It contains an interactive console, documentation viewer, variable explore, and development tools.
Spyder has features such as autocompletion, debugging, and python shell. It also has scientific libraries such as Matplotlib, Numpy, Ipython, Scipy. It is mostly used by scientists, engineers, and data analysts.
It is a combination of advanced editing, analysis, debugging,
and profile functioning of a comprehensive tool with data exploration.
5.Atom:
Platform: Linux, macOS,Windows
For: Beginners and Professional
Official website: https://atom.io/
Atom is developed by Github. It is also an open-source code editor for getting with python using atom we have to install some packages. Autocomplete-python,linter-flasks,python-debugger, etc are some packages in atom for python.
Atom as a feature such as syntax highlighting, and auto compilation. The unique feature of an atom is a fully customizable interface, we can change everything from interface to basic function.
6.Eclipse+ Pydev:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: https://www.eclipse.org/; http://pydev.org/
Eclipse is historically designed for the java programming language but plugin or extension it can be used for various programming languages.
Pydev is a plugin that allows eclipse to used as python IDE.
It supports Jython and IronPython.It is free and platform-independent.
The main feature of Pydev are debugger Django integration, type hinting, interactive console, syntax highlighting, and many more. Pydev extension offers features such as code analysis and remote debugging.
7.Thonny:
Platform: Linux, macOS, Windows
For: Beginners
Official website: https://thonny.org
Thonny is one of the integrated development environment for python, It is developed by the University of Tartu. It comes with python 3.7 built-in.
Thonny is mainly designed for beginners.The user interface is simple so that beginner can get familiar and find easy to get started.
Some features of Thonny are syntax error highlighting, debugger, code completion, step through expression evaluation, etc. It does not require a large amount of memory to run so we can consume memory. Though it is a beginner it is good for full-fledged python development.
8.Cloud 9:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: https://www.cloud9.gg
Cloud 9 is part of Amazon web services(AWS). It is a cloud-hosted development environment. It is one of the best development environments and has increased user experience to a new level. It supports both version python 2 and python 3.
Cloud 9 also supports flask which is a framework for lightweight application. It uses Platform for Tracking general error, code error, and style error.
9.Vim:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: https://www.vim.org
Vim is a text editor that allows for the manipulation of a text file. It is was published by Bram Mooleannan. It is pre-installed in the macOS and Unix operating systems. To use vim as a python development environment we have to add a plugin.
Vim also has features such as syntax highlighting, code completion, debugging, etc. Developers prefer for its keyboard shortcuts and extendibility. It has features of multibuffer that support simultaneous file editing and automatic indentation.
10.sublime text:
Platform: Linux, macOS, Windows
For: Beginners and Professional
Official website: http://www.sublimetext.com/
Sublime text is cod editor coded in c++ and python. It supports 44 programming languages including python. It was published by Jon Skinner in 2007. It has built-in support for python when you install it as sublime text as python IDE. Different plugins and packages make high quality and powerful IDE allows to develop easily with python.
Some features of the sublime text are fast and very few bugs, opens large files. There are also many packages for scientific development, Django, flask, and so on. we can create a full-fledged python development environment as per our need through sublime text.
