Python virtual environments // best practice

Publicado el: 14 noviembre 2020
en el canal de: Kahan Data Solutions

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Python, like most other modern programming languages, has its own unique way of downloading, storing, and resolving packages (or modules). While this has its advantages, there were some interesting decisions made about package storage and resolution, which has lead to some problems—particularly with how and where packages are stored.

This video will show you how virtual environments can help you organize packages for your project.

Python is becoming increasingly more important in the world of data engineering as the work has begun to cross over more into traditional software engineering practices. Not only is it becoming a more important language for your career, but it is also a great language for fun side projects!

About Python:
Python is an interpreted, high-level and general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Timestamps:
0:00 - Intro
0:47 Understand Package Locations
1:22 Create Virtual Environment
2:56 Compare Packages Between Environments
3:35 Create A Second Virtual Environment
4:29 Compare All 3 Environments

Title & Tags:
Using Virtual Environments to Separate Your Packages | Python Tutorial
#kahandatasolutions #python #dataengineering

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