Jupyter Notebook vs PyCharm: Software comparison
Summary
Jupyter Notebook and PyCharm are two popular choices that offer their own specific benefits in different areas of data science and software development. Jupyter is a browser-based open-source data science notebook tool that supports Python; Julia; and other dynamic programming languages such as R, Scilab and Octane. PyCharm is a dedicated IDE tool focused on providing a complete solution for creating full-fledged packages and software in Python, including classes and graphical user interfaces (GUIs). PyCharm’s most popular features include a built-in debugger and smart auto-complete as well as DevOps tools, such as version control, which makes it ideal for developers and software engineers. Both Jupyter and PyCharm allow you to execute your code in place and offer ways to analyze or determine where errors are originating.
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