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I am a huge believer in practicing your craft. Professional athletes spend most of their time honing their skills and making themsleves better. In Engineering many spend nearly 0 time practicing. I am not saying that you need to spend all your free time practicing, but a few minutes trying new things can go a long way in how you understand what you are doing and make a hue impact on your long term productivity.
Start practicing
practice building pipelines with #kedro today
Go to your playground directory, and if you don't have one, make one.
cd ~/playground
get pipx
Install pipx in your system python. This is one of the very few, and possibly the only python library that deserves to be installed in your system directory, primarily because its used to sanbox clis in their own virtual environment automatically for you.
pip install pipx
make a new project
From inside your playground
directory, start your new kedro project.
This is quite simple and painless. So much so that if you mess this one
up doing something wild, it might be easier to make a new one that
fixing the wild one.
pipx run kedro new # answer the questions it asks
I use this quite often to try out new things in a safe place.
Make a virtual environment
Using Conda
Conda is a fine choice to manage your virtual environments. It used to make things so much easier on windows that it was almost required. Nowadays getting python running on windows has become so much easier that this is less so.
conda create -n my-project python=3.8 -y conda activate my-project python -m pip install --upgrade pip pip install -e src
one great benefit of conda is that it lets you choose the interpreter to go with your virtual environment.
Your new environment will be listed in your list of conda env here.
conda info --envs
Using venv
venv
is what I use now. Nothing against conda, it works great.
venv
just feels a bit lighter and more common. I've actually grown to
appreciate that the venv
is right where I put it, most often in the
project directory.
python -m venv .venv source ./.venv/bin/activate python -m pip install --upgrade pip pip install -e src
using pipenv
pipenv
is another fine choice. I like how in one command it makes the
environment and activates it for you. pipenv
also puts virtual
environments in the global directory.
pipx run pipenv shell python -m pip install --upgrade pip pip install -e src
Make pipelines
Now go make some pipelines with your new project, try something wild, break it, and make another.