Tag: ide

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conda jupyter tensorflow

found on #stackoverflow
https://stackoverflow.com/a/43259471/1650038

Create a virtual environment - conda create -n tensorflowx

  • conda activate tensorflowx

So then the next thing, when you launch it:

  1. If you are not inside the virtual environment type - Source Activate Tensorflow
  2. Then inside this again install your Jupiter notebook and Pandas libraries, because there can be some missing in this virtual environment

Inside the virtual environment just type:

  1. pip install jupyter notebook
  2. pip install pandas

Then you can launch jupyter notebook saying:

  1. jupyter notebook
  2. Select the correct terminal python 3 or 2
  3. Then import those modules

! start jupy from project folder in Documents

.py files

git init
add commit
git remote add origin  <REMOTE_URL> 
git push remot origin

conda jupyter tensorflow: github condjup is local xfold repo
vs code debug tensorflo: repo deepflo
docker tensorflow image: once again:
docker run -it --rm -v $(realpath ~/notebooks):/tf/notebooks -p 8888:8888 tensorflow/tensorflow:latest-jupyter
https://codeflysurf.com/2021/11/22/running-tensorflow-in-jupyter-notebook-docker/

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virtual env python

different projects, different requirements different envs:
create your virtual environment

python3 -m venv tutorial-env
python -m venv venv
$ . venv/bin/activate

https://docs.python.org/3/tutorial/venv.html

add it in your git repo, .gitignore

echo "venv" >> .gitignore
create requirements.txt:
pip freeze > requirements.txt
git add requirements.txt

https://medium.com/wealthy-bytes/the-easiest-way-to-use-a-python-virtual-environment-with-git-401e07c39cde

pip install -r requirements.txt

https://boscacci.medium.com/why-and-how-to-make-a-requirements-txt-f329c685181e

tia