From Pandas to Production: ELT with dlt
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Discover how the open-source Python library "data load tool" (dlt) bridges the gap between data engineering and data science in this 27-minute EuroPython Conference talk. Learn to overcome typical roadblocks in data science workflows and streamline the transition from data exploration to production. Explore best practices for data handling and managing failures through real-life examples, and understand how dlt can help avoid common engineering headaches in maintaining data pipelines. Gain insights into improving your data science processes and enhancing productivity in data-driven projects.
Syllabus
From Pandas to production: ELT with dlt — Violetta Mishechkina, Adrian Brudaru
Taught by
EuroPython Conference
Related Courses
Machine Learning With Big DataUniversity of California, San Diego via Coursera Recolección y exploración de datos
Tecnológico de Monterrey via Coursera Capstone: Create Value from Open Data
ESSEC Business School via Coursera Big Data - Capstone Project
University of California, San Diego via Coursera Análisis de Datos - Proyecto Final
Tecnológico de Monterrey via Coursera