python_virtual_environement.md

Python virtual environement

Created: Feb 18, 2021 10:04 PM Last Edited Time: Mar 20, 2021 10:51 PM Status: done Week: Week 1 presented: Yes

1. Why we need a python environement

Python applications will often use packages and modules that don’t come as part of the standard library. Applications will sometimes need a specific version of a library.

This means it may not be possible for one Python installation to meet the requirements of every application. If application A needs version 1.0 of a particular module but application B needs version 2.0, then the requirements are in conflict and installing either version 1.0 or 2.0 will leave one application unable to run.

2. for what python environement is used for

virtualenv is used to manage Python packages for different projects.

a self-contained directory tree that contains a Python installation for a particular version of Python, plus a number of additional packages. Different applications can then use different virtual environments


3. CONDA for python Package, dependency and environment management

• Conda is an open-source package management system and environment management system that runs on Windows, macOS, and Linux.
• Conda quickly installs, runs, and updates packages and their dependencies.
• Conda easily creates, saves, loads, and switches between environments on your local computer.

3. CONDA environment for local usage

name:quaada
channels:
    - default
dependencies:
    - python=3.8
    - pip
    - matplotlib
    - jupyterlab
    - pip:
      - tensorflow==2.4.1
      - numpy==1.19.2
      - tensorflow-datasets 4.2.0

conda env create -f environement.yml

conda activate quaada