PyConES 2023

Cheuk Ting Ho

Before working in Developer Relations, Cheuk has been a Data Scientist in various companies which demands high numerical and programmatical skills, especially in Python. To follow her passion for the tech community, Cheuk has been a Developer Advocate for 3 years. Cheuk also contributes to multiple Open Source libraries like Hypothesis, Pytest, Panda, Jupyter Notebook and Django.

Besides her work, Cheuk enjoys talking about Python on personal streaming platforms and podcasts. Cheuk has also been a speaker at Universities and various conferences. Besides speaking at conferences, Cheuk also organises events for developers. Conferences that Cheuk has organized include EuroPython (which she is a board member), PyData Global and Pyjamas Conf. Believing in Tech Diversity and Inclusion, Cheuk constantly organizes workshops and mentored sprints for minority groups. In 2021, Cheuk has become a Python Software Foundation fellow.


LinkedIn

https://www.linkedin.com/in/cheukting-ho

Web personal

https://cheuk.dev/

Otro enlace (e.g. GitHub)

https://github.com/Cheukting

Twitter

https://twitter.com/cheukting_ho


Session

07/10
12:15
35minutos
Untangle Python Spaghetti - Deep dive into environments and dependencies management
Cheuk Ting Ho

After learning doing in Python, we started multiple Python or Data Science projects. Dependency management becomes a skill that we need to avoid requirement conflicts amount projects. In this talk, we will learn how dependencies management tools work and how to choose the right one to use.

In this talk, we will use venv, the environment managing tool that come with CPython, and conda, the tool that is popular among data science partitioners to decipher how environment and dependency management works. First, we will go through some basic knowledge of how Python "sees" your package and know where to import them when needed. Then, we will make the audience aware that, to avoid the requirement conflict amount different projects, we need a new set of environments for each project.

Then, we will see how tools like venv and conda can create a new set of environments. We will cover both the practical aspect - how to use the tools and which one to use, and the theoretical aspect - the inner working of the tools and why they are different. This will make the audience get familiar with some tools that are at their disposal and inspire them to start using them for their work.

This talk is for beginner Pythonistas or data scientists who started to use Python professionally and those who are curious to know how the environment and dependency management tools work.

Software packages
Antequera (Sala 1.10)