Explore unexpected success stories and novel applications of the Pandas library in this 23-minute EuroPython 2018 conference talk. Discover how Dimiter Naydenov leveraged Pandas to efficiently solve complex day-to-day problems, including extracting pen strokes from handwritten SVG samples and recomposing them into reusable letters and numbers. Learn how implementing Pandas approaches reduced memory footprint, improved performance, and changed the way of thinking about data processing in Python. Gain insights into vectorizing inner loops, utilizing multi-index operations, and achieving faster results by orders of magnitude. Follow Naydenov's journey from his background and company startup to his first experiences with Pandas, covering topics such as DataFrame structure, letter extraction, classification, word building, and label linking. Understand the limitations and potential applications of Pandas in various scenarios, and be inspired to find innovative solutions using this powerful data manipulation tool.
Overview
Syllabus
Introduction
Dimiters background
Starting his own company
Have you used pandas before
pandas introduction
first experience with pandas
pandas documentation
my project
requirements
mailing label
generalized process
the problem
SVG Pad Tools
SVG to Path
Pandas DataFrame
Pandas Structure
Letter Extraction
Multiple Passes
Merge
Classification
Word Building
Label Link
What I Learned
One More Thing
Limitations
Taught by
EuroPython Conference
