Which software to use to learn python

Learn python using software such as Anaconda, PyCharm, Visual Studio Code, Jupyter Notebook, Sublime Text and IDLE. Detailed introduction: 1. Anaconda is an open source Python distribution designed for data science and machine learning. It provides a wealth of scientific computing, data analysis and machine learning libraries; 2. PyCharm is a software developed by JetBrains Python integration and more.

The operating system for this tutorial: Windows 10 system, Python version 3.11.4, DELL G3 computer.

You can use multiple software to learn Python programming, the most commonly used of which are the following:

1. Anaconda: Anaconda is an open source Python distribution designed for data science and machine learning And design. It provides a wealth of scientific computing, data analysis and machine learning libraries, such as NumPy, Pandas, Matplotlib and Scikit-learn, etc. Anaconda also includes tools such as Jupyter Notebook and Spyder, which can help you with interactive programming and debugging. If you mainly work in data science or machine learning, using Anaconda is a good choice.

2. PyCharm: PyCharm is a Python integrated development environment (IDE) developed by JetBrains, designed to improve the productivity of Python developers. It provides many features such as code auto-completion, debugger, code quality analysis and version control integration, etc. PyCharm also supports many Python libraries and frameworks, such as Django and Pyramid, etc. If you need a powerful IDE for writing Python code, PyCharm is a good choice.

3. Visual Studio Code: Visual Studio Code is a lightweight code editor developed by Microsoft. It supports multiple programming languages, including Python, and provides many useful features such as code autocompletion, debugger, Git integration, and plugin system. Visual Studio Code also supports custom configurations and themes that can be personalized to your preferences.

4. Jupyter Notebook: Jupyter Notebook is an interactive web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It is widely used in data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, etc. You can write Python code in Jupyter Notebook and share and collaborate in documents.

5. Sublime Text: Sublime Text is a highly customizable text editor that supports multiple programming languages. It offers many useful features such as code snippets, macro recording, and a plugin system. Sublime Text also supports custom configurations and themes that can be personalized to your preferences.

6. IDLE: IDLE is Python’s own integrated development environment (IDE), suitable for beginners and simple project development. It provides basic editor, debugger and shell window functions. Although its functionality is relatively simple, it is sufficient for entry-level Python learners.

To sum up, which software to choose depends on your needs and learning goals. If you mainly work in data science or machine learning, then Anaconda is a good choice; if you need a powerful IDE for writing Python code, then PyCharm is a good choice; if you want to use a lightweight A code editor, then Visual Studio Code or Sublime Text is a good choice; if you need an interactive development environment, then Jupyter Notebook is a good choice; if you are just starting to learn Python, then using IDLE is a good choice choose.

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