For Python novices, it is recommended to use the following development software:
1. Python IDE: Python IDE is an integrated development environment for writing and running Python code. Commonly used Python IDEs include PyCharm, Visual Studio Code, Python Studio, etc. These IDEs It provides code auto-completion, syntax highlighting, debugging, code formatting and other functions to help you write code more easily.
2. Jupyter Notebook: Jupyter Notebook is an interactive web application for writing and running Python code. It supports multiple programming languages and provides powerful interactive functions, such as code completion, automatic running, graphical display, etc. Jupyter Notebook Ideal for beginners in data visualization, interactive programming, and exploratory data analysis.
3. Spyder: Spyder is an open source Python integrated development environment, mainly used for scientific computing and data analysis. It supports Python, R and Julia and other programming languages, and provides a wealth of data science tools and libraries. Spyder integrates with IPython for interactive programming and data analysis.
4. Thonny: Thonny is a Python programming environment suitable for beginners, providing a simple interface and rich functions. It supports Python 2 and Python 3. It also provides automatic code completion, syntax highlighting, running code, debugging and other functions. Thonny also supports multiple programming modes, such as command line mode, Python mode and Thonny mode.
5. IDLE: IDLE is Python’s own integrated development environment that can be used to write and run Python code. It provides basic code editing functions, such as code completion, syntax highlighting, automatic indentation, etc. IDLE is suitable for beginners to practice simple Python programming.
In short, for Python novices, it is recommended to use an integrated development environment (IDE) or an interactive programming environment (such as Jupyter Notebook) for programming. These development software can provide a better code editing and running experience, helping you learn and master Python programming more easily.
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