![]() Both are great options for writing, running, and sharing reproducible Python code. JupyterLab is a newer version of the traditional notebook. Jupyter Notebooks and JupyterLab: Jupyter Notebooks are free, interactive notebooks for writing and running Python code. Some of the common IDEs you may want to consider are: There are many IDEs that support Python code. Using the same IDE as your collaborators or colleagues can help you find a user community to help with troubleshooting and making the most of IDE features Some IDEs may make it easier to save your code in a cloud environment Will you always be working from the same computer? Some IDEs may make it easier to share your code on GitHub or other cloud environments IDEs will have features that are useful for different tasks, such as machine learning or visualizing data If you use multiple programming languages, you may want one IDE that can accommodate all of them Some IDEs will be better for beginners or have more advanced features What is your level of programming knowledge? A few questions that may guide you to the right IDE for your purposes are: We recommend choosing an IDE based on your comfort level with Python, other programming languages you use, and the tasks you are trying to complete. You can choose an IDE based on the features you want to use. Other IDEs are made for a specific programming language, such as Python, or task, such as machine learning.Ĭommon features of IDEs that can help you write code are code completion, syntax highlighting, debugging, environment managers, version control, and auto-refactoring. Some IDEs are general and allow users to write and run code in multiple languages. In Python, you will use an IDE to write your code and run your programs. Choosing an IDE is an essential part of programming in Python. Integrated Development Environments, or IDEs, are desktop applications that are designed to make software development easier. You can download the latest version of Python (version 3.X) from What is an IDE?
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