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The most common question asked by Python beginners in the past two years is, what code editing tool should I use?
To be honest, I personally use Jupyter Notebook the most, mainly for frequent data visualization, which is convenient some.
But for beginners, PyCharm is still the best choice. I even recommend that you only use PyCharm.
From all current mainstream Python IDEs, PyCharm is the most suitable for Python. Developed, especially for novices, it can save a lot of unnecessary time and costs.
I also often use PyCharm to write scripts and occasionally develop some web applications. It can be said that no IDE can reach the level of perfection of PyCharm.
Compared with other IDEs, PyCharm has the following four main advantages, which will be introduced one by one later:
At the same time, PyCharm is a cross-platform application Program, compatible with Linux, macOS and Windows platforms.
PyCharm is a commercial tool from JetBrain, the Czech software company that developed IntelliJ IDEA and Kotlin.
Users can use 3 versions of PyCharm, namely Community Edition, Professional Edition, and Education Edition.
The features of PyCharm are detailed as follows (refer to the official website)
PyCharm comes with smart code Editor that helps write high-quality Python code. It improves code understanding and readability by providing different color displays for keywords, classes and functions (i.e. syntax and error highlighting).
The code editor can also provide code completion, code inspection, real-time error highlighting and quick repair, and can realize automated code reconstruction and rich navigation functions.
PyCharm’s extensive out-of-the-box tools include integrated debugger and test runner; Python profiler; built-in terminal; integration with major VCS and built-in Database tools; remote development capabilities utilizing remote interpreters; integrated ssh terminal; and integration with Docker and Vagrant.
Some of the most basic integration tools provided by PyCharm include:
PyCharm supports scientific libraries such as Matplotlib and SciPy to help Python developers complete data science and machine learning projects.
Google App Engine, or simply App Engine, is a PaaS and cloud computing platform designed to develop and host web applications .
It provides automatic scaling functionality for web applications. The professional version of PyCharm provides support for Google App Engine.
General IDEs support debugging and testing programs, and PyCharm is no exception. It provides an integrated Python debugger and line-by-line code coverage. Integrated unit testing.
Python developers can use PyCharm to create web applications. As a result, Python IDE supports popular web technologies, including CoffeeScript, CSS, HTML, JavaScript, and TypeScript.
In addition, it also includes support for Cython and SQL.
PyCharm also provides a real-time editing function, that is, developers can create/modify web pages while pushing web pages in real time. Therefore, changes can be tracked directly on the web browser. Web applications can also be built using AngularJS or NodeJS.
The code navigation feature makes it easier for developers to navigate to classes, functions, or files. It also helps significantly reduce the effort and time required to edit and enhance Python code. File structure view and dedicated project view are always available.
lens mode allows developers to thoroughly inspect and debug the entire Python source code. With code navigation, you can locate elements, variables, etc. in virtually no time. Developers can quickly switch between classes, files, and methods.
The refactoring function in PyCharm helps improve the internal structure of the Python program without affecting the external performance of the Python program. Making changes to local and global variables is efficient and fast.
PyCharm allows running, debugging, testing and deploying applications on remote hosts or virtual machines.
For this purpose, Python IDE provides:
PyCharm allows developers to leverage Django in Python development projects. The Python IDE provides auto-completion functionality, and you can also use Django to write debugging code.
PyCharm also supports other popular Python frameworks such as Flask, Pyramid and web2py.
Version Control System (VCS) simply tracks changes made to files, applications, and other information sources.
PyCharm provides a unified user interface for CVS, Git, Mercurial, Perforce and Subversion.
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