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I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
```
$ conda create -n {new_environment_name} python
$ conda activate {new environment name}
$ conda install jupyterlab
```
Hmm, what is mamba? I thought I was at least sort of up to date with the various python dependency managers, but that one is new to me. Relatedly, I have a grand vision of having as part of my development environment a jupyter notebook always at hand, in which to explore data as necessary, whip up scripts, accumulate little helper functions, etc. Basically, any time I have that "hm, I wonder..." itch, I'd like to be…
But you could just install conda and just `conda env export -n base` to export your environment.
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
Dependency management hell isn't just a Javascript problem these days.
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
I just wondered if anyone has any ideas how you go about this as I've been drawing a blank.
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
You should use Anaconda instead of pip to install data science related tools in Python. ``` $ conda create -n {new_environment_name} python $ conda activate {new environment name} $ conda install jupyterlab ```
({new_environment_name}) ...$ python -m ipykernel install --user --name {new_environment_name} --display-name "Python ({new environment display name})"
The env won't be accessible in jupyter (lab or notebook) until you do this step.
[0] https://stackoverflow.com/questions/39604271/conda-environme...
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
True. I like Python, but the ecosystem can be very confusing for a quick dive. It's easy to get lost between pyenv, virtualenv, pipenv, pip, pip3, easy_install and friends.
I don't write Python code for my work. Last weekend I came across an interesting Jupiter notebook and figured I'd give it a try on my work laptop. "It's probably as easy as brew install pip and then use that to load the other dependencies," I assumed. Over an hour later I had to give up. There was initially some kind of Python version conflict on my Mac. Eventually some version of JupyterLab was installed somewhere,…
Then remember to run pip using `python3 -m pip ` and use virtual environments (venv)
I stumbled on this a couple weeks ago and documented the process here https://flaviocopes.com/python-installation-macos/
I found the same problem with Ruby (old version preinstalled on macOS)