
Sign up to save your podcasts
Or
Should you use a Python virtual environment in a Docker container? What are the advantages of using the same development practices locally and inside a container? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
We share a recent post by Hynek Schlawack about building Python projects using Docker containers. Hynek argues for using virtual environments for these projects, like developing a local one. He’s found that keeping your code in an isolated, well-defined location and structure avoids confusion and complexity.
We also discuss our development setups, including Python versions, code editors, virtual environment practices, terminals, and customizations. We dig into how your programming history affects the tools you use.
We share several other articles and projects from the Python community, including a group of new releases, addressing the “why” in comments, comparing a data science workflow in Python and R, removing common problems from CSV files, and a project for creating HTML tables in Django.
This episode is sponsored by InfluxData.
Course Spotlight: Advanced Python import Techniques
The Python import system is as powerful as it is useful. In this in-depth video course, you’ll learn how to harness this power to improve the structure and maintainability of your code.
Topics:
News:
Show Links:
Discussion:
Projects:
Additional Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
4.7
136136 ratings
Should you use a Python virtual environment in a Docker container? What are the advantages of using the same development practices locally and inside a container? Christopher Trudeau is back on the show this week, bringing another batch of PyCoder’s Weekly articles and projects.
We share a recent post by Hynek Schlawack about building Python projects using Docker containers. Hynek argues for using virtual environments for these projects, like developing a local one. He’s found that keeping your code in an isolated, well-defined location and structure avoids confusion and complexity.
We also discuss our development setups, including Python versions, code editors, virtual environment practices, terminals, and customizations. We dig into how your programming history affects the tools you use.
We share several other articles and projects from the Python community, including a group of new releases, addressing the “why” in comments, comparing a data science workflow in Python and R, removing common problems from CSV files, and a project for creating HTML tables in Django.
This episode is sponsored by InfluxData.
Course Spotlight: Advanced Python import Techniques
The Python import system is as powerful as it is useful. In this in-depth video course, you’ll learn how to harness this power to improve the structure and maintainability of your code.
Topics:
News:
Show Links:
Discussion:
Projects:
Additional Links:
Level up your Python skills with our expert-led courses:
Support the podcast & join our community of Pythonistas
272 Listeners
283 Listeners
481 Listeners
592 Listeners
624 Listeners
443 Listeners
296 Listeners
213 Listeners
142 Listeners
982 Listeners
189 Listeners
266 Listeners
189 Listeners
64 Listeners
77 Listeners