If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...

10月版では、新たにPythonのインタラクティブな実行環境であるJupyterをサポート。 エディタ上にPythonの実行結果を即座に返すJupyterの"editor-centric"な ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Improved IntelliSense support for Jupyter Notebooks highlights the September 2022 update of Python dev tooling in Visual Studio Code. That tooling comes in extensions for Python (64 million installs, ...

また、空のJupyter Notebook作成や既存のノートブックファイルを開く際の速度が約2倍になるなどパフォーマンスの改善もはかられている。

Since Microsoft went all in on Python for its open source, cross-platform Visual Studio Code editor years ago, the company has steadily been adding new features, tools and functionality, including a ...

The folks at Project Jupyter have announced a major update to the JupyterLab Desktop. JupyterLab Desktop is the cross-platform desktop application for JupyterLab, a web-based interactive development ...

Microsoft Excel 365 now supports Python integration, allowing users to write Python scripts directly in Excel, with additional flexibility provided by tools like Anaconda and Jupyter Notebooks.