I've been enjoying the convenience of the Black Formatter extension in Visual Studio Code, especially its "Format on Save" feature for Python files. Being able to automatically format my code upon saving with Ctrl+S has significantly streamlined my workflow. However,…
Environment Ubuntu 20.04 Python 3.8.10 Pip 20.0.2 Using pip venv to create a virtual environment in my project directory. These are the commands I am running. python3 -m pip venv .venv # Create the virtual environment source .venv/bin/activate (.venv) $…
I bought a new laptop and installed VS Code and Tensorflow on Windows. The TF Python script needs a conda virtual environment that can access Nvidia GPU card. I got the virtual environment working fine. I also got the TF…
I have a virtual environment with some installed packages and a notebook with some imports of packages that only exist in this environment. I have done Ctrl + Shift + P > Python: Select Interpreter, and chosen my environment. But,…
I am using Visual Studio code for Jupyter Notebook work. I am outputting Pandas DataFrames as: display(df) DataFrame's have MultiIndex which Visual Studio Code table output almost manages to colour with stripes correctly. Visual Studio Code does not render borders…
I want to print on the same line in a VS Code notebook but it does not work. b also does not work well, it requires me to use two b as a group to backspace. I installed the Jupyter…
for some background, I usually use vscode for creating input for my calculation, especially using the jupyter notebook extension to my WSL Ubuntu. so I've been setting up my vscode using standard Python and Jupyter noteboook extensions. Everything looked good…
Working in VSCode (1.86.2) on an iMac (14.3.1): I created a conda environment and selected python 3.10 as the interpreter (one of the libraries I am working with doesn't work with anything above 3.10), then start a new terminal and…
i want to send this simple pyspark dataframe to kafka and i done everything but i always get an error. i try it with simple python producer script and it works and the pyspark read stream work my only problem…
I have many json files (example below), I am interested in converting these json to a table version in the csv file format [example below] with the help of python script from jupyter notebook provided my one of my collaborator…