[DevEnv] Python setup

2024-08-28 update

Summary

pyenv + virtualenv for python version manage & virtual env manage
poetryfor dependency manage

Python Version Manager

pyenv

pyenv local: Sets a local application-specific Python version by writing the version name to a .python-version file in the current directory.

pyenv-virtualenvs

.python-versions automatically activate pyenv virtualenv

Pyenv & Pyenv-virtualenvs cheetsheets

https://github.com/malexer/cheatsheets/blob/master/pyenv.md

List available Python versions for installation:
```
pyenv install --list
```
Install a specific Python version:
```
pyenv install 3.9.5
```
Set global Python version:
```
pyenv global 3.9.5
```
Set local Python version (for current directory):
```
pyenv local 3.8.10
```
Create a virtual environment:
```
pyenv virtualenv 3.9.5 myproject
```
Activate a virtual environment:
```
pyenv activate myproject
```
Deactivate current virtual environment:
```
pyenv deactivate
```
Uninstall a Python version:
```
pyenv uninstall 3.7.9
```
Show current Python version:
```
pyenv version
```
Update pyenv itself:
```
pyenv update
```

what kind of python should install?

difference between python 3.x and anaconda

Python 3.x refers to the 3.x versions of the Python programming language. On the other hand, Anaconda is a distribution of Python and R programming languages for scientific computing, data science, machine learning applications, and large-scale data processing. It includes a collection of over 250 pre-installed packages tailored for these purposes and a package manager called conda1.
In summary, Python 3.x is a version of the Python programming language while Anaconda is a distribution that includes Python along with other tools and packages for scientific computing and data science 1.
Is there anything else you would like to know?

How to install Python packages with pip and requirements.txt

package manage in pycharm

Environment

Venv setup

why have to use venv? -> cause recommendation

Note If you are using Python 3.3 or newer, the venv module is the preferred way to create and manage virtual environments. venv is included in the Python standard library and requires no additional installation. If you are using venv, you may skip this section. https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/#installing-virtualenv

$ source venv/bin/activate.fish

PyCharm add Venv

pyenv version

if project have venv/.python-version even that venv is made by others pyenv automatically trying to use that.

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