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IDRE Early Career Research Day

Institute for Digital Research and Education
Sequoia Room, UCLA Faculty Center 480 Charles E Young Dr S, Los Angeles, CA, United States

Venue: Sequoia Room, UCLA Faculty Center, 480 Charles E. Young Drive East, Los Angeles Registration: RSVP link Contact: T.V.Singh The Institute for Digital Research and Education (IDRE) is pleased to announce the upcoming IDRE Early Career Research Day. This event is aimed to highlight the diverse research activities in computational science, data science, information science,...

Free

Introduction to Data Science with Python Part 1

Institute for Digital Research and Education
Zoom

The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part...

Free

Introduction to Data Science with Python Part 2

Institute for Digital Research and Education
Zoom

The term "data science" has become a ubiquitous and all-encompassing term to address any field that utilizes data analytics in one form or another. Despite having such a broad mandate, certain elements remain consistent in the approach to data science that are interdisciplinary: data acquisition, data exploration, data modeling, and data communication. In this two-part...

Free

High-Performance Data Science in Python (1) Interpreter War

Institute for Digital Research and Education
Zoom

This workshop series will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the first session, we will focus on how to boost the speed of python code in an interperter level by explaining the concepts (e.g. GIL, GIT) and introducing the packages of pypy, numba, pythran, cython etc. Although no specific prerequisite is required to attend the talk, having programming experience in Python will be helpful to fully understand the lecture content.

High-Performance Data Science in Python (2) DataFrame Game

Institute for Digital Research and Education
Zoom

This workshop series will present an extensive discussion on how to improve the performance of Python in data science by looking under the hood of its language/libraries and using the technologies to make Python a practical solution for the high-performance big data analytics. In the second session, we will focus on how to load/process the super big dataset in Python using a single machine and comparing the dataframe implementations from Pandas, Modin, Pandarallel, Dask and Vaex etc. Although no specific prerequisite is required to attend the talk, having programming experience in Python's numpy and Pandas packages will be helpful to fully understand the lecture content.

Python for High Performance Data Analytics (1) Computation

Office of Advanced Research Computing
Zoom

While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...

Python for High Performance Data Analytics (2) Arrays

Office of Advanced Research Computing
Zoom

While Python becomes the most popular programming language since 2019, data scientists often have a few common complaints about its slow speed and the limited capabilities of handling the big data scenarios. In this workshop series, we will present an extensive discussion on how to improve the performance of Python in data science by looking...

High Performance Python for Data Analytics pt.1

Zoom

While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...

High Performance Python for Data Analytics pt.2

Zoom

While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...

Learning Scikit-Learn

Office of Advanced Research Computing
Zoom

Machine learning has become a key element in science and technology today. Mastering libraries like scikit-learn–a vital tool for machine learning–is essential. In this workshop, you'll receive a fundamental introduction to the scikit-learn Python library. For the best experience, participants should have a working knowledge of Python and a basic understanding of machine learning concepts....

High Performance Machine Learning Using Scikit-Learn

Office of Advanced Research Computing
Zoom

Machine learning is playing an increasingly important role in science and technology. In this advanced session, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to speed up model training using multicore processors and accelerators, as well as techniques for out-of-core learning. This workshop builds on the foundational concepts from the...

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