IDE for Python and text editor recommendations

  

Let's look at the top six Python IDEs and text editors that developers often use to make workflows as smooth and efficient as possible

Overview

Any programmer learning a programming language for the first time will think about which IDE or text editor to use. Regardless of which programming language it is, the efficiency of the task depends on which IDE the web developer, mobile, desktop app developer, or data scientist chooses.

IDE and text editors are tools that provide a suitable development environment for developers to write, test, and debug code. If it is a correct IDE or text editor, it should support various programming languages, make it easy to manage files, and there should be no problems or inconvenience in using them.

And many IDEs and text editors provide customization of the right development environment for users through a variety of attributes and options. There is no IDE that is the best for everyone. Depending on individual tastes, some prefer IDE with everything, while others prefer light text editors.

And we will now look at the top six Python IDE and text editors that developers often use to make workflows as smooth and efficient as possible. Therefore, if you are looking for an IDE or text editor to use, please take a look until you find the IDE you want.

1. Sublime Text

Sublime Text is basically free and can be used to write, modify, and debug codes in any programming language. And it's very light and fast. However, if you download the Sublime Text for the first time, install it, and run it, it will look simple on the surface. Someone might think it's sloppy.

However, if you make good use of Sublime Text's add-on, you can become a lightweight and powerful editor. The best thing about Sublime Text add-on is that you can customize additional features to suit your needs, from color to overall shape, Github or other platform connections. It took less than 30 minutes to set the Sublime Text to a perfect development environment, and after that, it will be ready to start working.

https://www.sublimetext.com/

2. Spyder

Spyder (Scientific Python Development Environment) is a free open source IDE specialized for Python. The best advantage is that Spider is lighter than other IDEs. Spider is the best choice for data science and machine learning. The reason is that there is an interactive coding mode that analyzes code written in real time.

Spyder also provides the ability to inspect the entire code base or divide it into sections to investigate it in detail. Of course, it can also be used in NumPy, Pandas, SciPy, and IPython, which are widely used in data science. And if you want IDE's powerful debugger integration environment, Spider provides a fantastic graphic debugger that can easily test and track bugs.

https://www.spyder-ide.org/

3. Atom

Atom is an open source text editor developed by Github. Atom was developed to support commonly used programming languages such as Java and Ruby on Rail. However, customization also provides a great user experience when writing Python code. Additionally, Atom's various plug-ins can make it a good text editor to use in developing data science applications. Like a Data Atom package that allows you to run SQL queries.

Another best package is Atom's powerful user community. Atom's community is one of the most active communities. Without words, Atom can easily manage project versions with the best Git integration.

https://atom.io/

4. Visual Studio Code

Visual Studio Code (Vs Code) is one of the most complete and widely used IDE. VS Code is a very famous IDE for Python, C, C#, and JavaScript developers. VS Code is light and open source, so it's free.

VS Code has many advantages, especially for beginners, because it defines functions or classes or shows helpful information when there is a syntax error. VS Code provides a useful PyLint integrated environment to check for errors in code. Other advantages include unit testing or real-value-print loop (REPL) operations.

https://code.visualstudio.com/

5. PyCharm

If you learn Python, probably the final king of IDE is PyCharm. PyCharm is probably the most famous Python IDE. And the biggest advantage is that it was developed for Python. Of course, it is good to support a variety of programming languages, but IDE created for only one language often provides a stronger development environment.

PyCharm offers many Python features such as code/error highlighting, Git integration, and powerful graphic debuggers. Code editors also provide customization in shapes and colors that suit them, and they also have a variety of plug-ins to expand their functions.

https://www.jetbrains.com/pycharm/

6. Jupyter Notebooks

Lastly, it is Jupiter Notebooks, which is famous in the data science community. Jupyter means Julia, Python, and R.Jupiter Notebooks is an open source and free development environment widely used in the community.

The Jumpyter Notebook provides characteristics that can be used by mixing code fragments with markdown, HTML, and LaTex text. And it is a server-based structure that can be easily used using a browser. Powerful visualization capabilities due to the use of IPython are preferred, especially in relation to data science and quantum computing. In addition, the expansion of the Jupiter Notebook is the Jupiter Lab, which provides much more functionality, such as visual debuggers.

https://jupyter.org/

Finish

IDE or text editor selection can make a big difference between the way you work and the efficiency of debugging 1,000 or 10,000 lines of code. The correct IDE or text editor allows code highlighting, easy file management, easy job uploads, and sharing.

However, there are many IDE and Tex editors, and it is not easy in reality to use all of them. So try the six IDEs and text editors we introduced and see which IDE suits you best.