What I've tried I have an anaconda environment called tacs-v2 on my WSL (Ubuntu 20.04.3 LTS). When instead I run from DataSpell (with the same interpreter of that virtual environment) it gives ModuleNotFoundError: No module named myfunct. We are pleased to announce that our new data science IDE DataSpell has officially released!DataSpell isbob官方旗舰店 JetBrains new IDE, designed for participation in exploratory data analysis and ML model designed prototype design personnel.DataSpell Jupyter in an environment of ergonomic Notebook interactivity with the intelligence of P圜harm Python and R code auxiliary combination.What are the main function of DataSpell offer?First of all, DataSpell supports local and remote Jupyter Notebook.Can be used directly in the IDE, like using traditional Notebook based on Web.Compared with Jupyter or JupyterLab's main advantage is that use DataSpell, you can get the mature IDE provides intelligent code auxiliary and many other features.DataSpell support Jupyter command mode, most of the standard keyboard shortcuts, Markdown and LaTeX and interactive output.For Python scripts, and R DataSpell allows you to run the entire script or part of it, and interactively browse the output easily. I was creating a new virtual environment on Ubuntu 20.04: virtualenv myenv But it gave an error: ModuleNotFoundError: No module named Other info: virtual. Summary I would like to use an anaconda environment living in Windows Subsystem for Linux (WSL) as a python interpreter for P圜harm and as a kernel for Jupyter Notebook. I use conda venv, when I run directly from terminal: conda activate da python merge.py. Configure an interpreter using WSL DataSpell Documentation windows - Win 10. WSL JDataSpell 2022.2: Visual Merge for Jupyter Notebook, UX Enhancements for Working With Cells, WSL Support DataSpell 2022.2 is here and ready to give your data science work an efficiency boost. For using the Windows data scientists or machine learning engineers, Windows Subsystem for Linux (WSL) 2 2 function must not unfamiliar.WSL 2 allows the use of the Hyper - V virtualization on Windows 10 or 11 full install Linux distributions.Involve data science or machine learning task, which provides the advantage from two aspects: on Windows access to all applications or files, and the use of Linux running Python code.This perfect correspondence using Linux analysis or model of exclusive package, no manual compilation.WSL 2 more lightweight than traditional virtual machine, only provide command line functions, always limit in Python development environment options for Jupyter Notebook.Fortunately DataSpell 2022.2 by WSL 2 configuration of the Python interpreter function, you can run on Windows DataSpell easily through all want to use the Linux compatible software package.Let's see how it works.Set the WSL before using the WSL 2, need to make sure that is using a compatible version of Windows.Windows versand higher (family and higher) and support all versions of Windows 11 WSL 2.Then, install Ubuntu or first Advanced settings configuration in WSL Microsoft Learn iniatinklis2022 m.
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