Grigory Petrov, Maxim DanilovBest Practice, Coding / Code-Review, Development Methods
top-10 Python complexities and how they are required to fight the "software complexity problem" in big projects
Antoine ToubhansBest Practice, Computer Vision, Data Engineering, Data Visualization, Development Methods, Reproducibility
Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit
DavidBest Practice, Development Methods, Reproducibility
In this workshop, we will learn what it means and how to build an "MLOps workflow" by extending the power of Git and GitHub with open-source tools.
Florian BruhinBest Practice, Development Methods
The #pytest tool presents a rapid and simple way to write tests for your Python code. This training gives an introduction with exercises to some distinguishing features.
Philipp StephanBest Practice, Development Methods, DevOps, Packaging
After a review of the current state of Python dependency management, we’d like to present a versatile method of using git submodules to handle internal dependencies in a dockerized microservice architecture, where common libraries have to be iterated quickly.
Dr. Kristian RotherBest Practice, Coding / Code-Review, Development Methods
Refactor a space travel game by introducing functions, classes and data structures
Helena SchmidtBest Practice, Development Methods, R
R and Python are two of the most powerful tools for any kind of data analysis. But both programming languages have their strengths and weaknesses. This leads to the question: When and how to rewrite your R analysis code in Python?
Tobias HeintzData Engineering, Development Methods, DevOps
How alcemy uses DevOps techniques to streamline and accelerate our daily development. Let's look at a number of real-world examples and best practices taken straight from the pipelines we use to release code several times a day.
Shivam SinghalCommunity, Development Methods
Learn how to write great documentation to nurture community of your open source project