Come to this Data Bytes session to learn tips for speeding up your Python code. We will cover both built in methods and data structures that you can use to speed up your code, as well as more advanced techniques using different Python libraries.
Website: dataservices.library.jhu.edu/
Contact us: dataservices@jhu.edu
JHU Data Services, part of the Johns Hopkins University Sheridan Libraries, helps the JHU community find, use, visualize, manage, and share data. We offer live webinars and self-paced online trainings on computational research and coding, GIS, data management, data visualization, and more. See all of our training topics on our website.
This repository contains materials for one of our Data Bytes webinars, which is open to JHU students, faculty, and staff. Please contact us with any questions.
As of March 2020, Data Services workshops are being held virtually on Zoom. See our calendar to register for upcoming workshops.
db-python-speedup.ipynb: Jupyter notebook containing the code and slides from the session.- PresentationMaterials: This folder contains PowerPoint slides and other presentation materials used in the workshop
- Resources:
If you have taken the live webinar for this class, please take this survey: Data Bytes Survey
The presentation materials are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0), attributable to Data Services, Johns Hopkins University.
See LICENSE file for additional code licensing and re-use information.
The images, external resources, and cheatsheets linked in this repository may have other licenses and terms of use.
Please cite this material as: Johns Hopkins University Data Services. October 10th, 2022. Speeding up your Python Code. https://github.com/jhu-data-services/data-bytes-speeding-up-python-code