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Institute for Digital Research and Education

Institute for Digital Research and Education

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IDRE Early Career Research Day

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,...
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Free

Introduction to Data Science with Python Part 1

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...
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Free

Introduction to Data Science with Python Part 2

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...
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Free

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

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

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

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...
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Python for High Performance Data Analytics (2) Arrays

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...
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