Author name: Rebecca Phillips

Rebecca Phillips is a UI/UX Designer and Open-Source Advocate with 9 years of experience making user-friendly SaaS products. Her specialties include Figma prototyping and open design contributions, gained through freelance work and product teams. Rebecca holds a BA in Graphic Design from Pratt Institute and is a certified UX Professional. Her UI kits are used in open-source apps worldwide. Rebecca makes design best practices accessible to all.

Handling out of memory errors in Python Pandas
Coding & Programming, Python, Technology

5 Essential Tips for Handling out of memory errors in Python Pandas efficiently.

Handling out of memory errors in Python Pandas requires a mix of strategic coding and modern library features. By optimizing data types, utilizing chunking methods, and leveraging the PyArrow backend, developers can drastically reduce RAM usage. These techniques allow for processing datasets that are significantly larger than the available physical memory, ensuring smooth operations even on standard laptops. LSI Keywords: Pandas dataframe memory optimization, Python garbage collection techniques, reading large csv files python, Pandas PyArrow backend usage.

Scroll to Top