Registration link: https://ucla.zoom.us/meeting/register/tJIvd-igpjMiGNVkod90GFNhBTuT7pwRfj5- The Hoffman2 Cluster is a powerful computational resource for the UCLA research community. This workshop is part of a three-seminar series designed to introduce users to the Hoffman2 Cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port…
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Python
Introduction to Remote Sensing with Python
Register here Satellites are circling our planet, allowing us to “sense” things about the Earth. It is the art and science of making measurements using sensors. Remote sensing has thus become a valuable tool in research and applications in a wide range of disciplines, such as engineering, geology, geography, urban planning, public health, archeology, environmental…
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Converting plots from Matlab to Python/matplotlib
This workshop will introduce how to use Python/matplotlib and other packages to generate data visualization and animation for publications or presentations. We will discuss plotting functions and techniques available in both Matlab and Python to handle and customize your graphics in practice. The materials include simple 2D/3D plots to present scalers and vectors, filled plots…
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Common Data formats: How to Access Them Programmatically
Storing data in an open-standard format ensures the data’s long-term readability and reusability, which is an important component of achieving reproducible computing. In this class we will explore a number of common data formats, learn about their structures and show how to access them programmatically. The data formats considered include: CSV (several variants), JSON, XML, Excel and HDF5. The Python and Julia languages will be used in the programming examples.
Using SQL with Python for Data Analysis
SQL is a standard language designed to query and extract data from tables stored in a database. Python, on the other hand, has well-known libraries specially designed for data analysis and manipulation. This course will introduce attendees to the basics of how to integrate SQL and relational database management systems with Python for data analysis….
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Learning Scikit-Learn: the basics
As machine learning gains more and more popularity in science and technology in recent years, scikit-learn becomes one of the must-have libraries in the general machine learning toolbox. In this lecture we will present an introduction about the basics of scikit-learn python library. Prerequisite knowledge for the workshop includes Python programming and basic machine learning concepts.
High-Performance Data Science in Python (1) Interpreter War
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.
Data Visualization with Python II: Making Interactive Plots and Widgets
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The second part of this series will explore various ways that Python can be used to…
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Introduction to Spatial Statistics with Python
Registration link: https://ucla.zoom.us/meeting/register/tJwkdu6hqj4sG9ZioB0tM8VuXxA44AWGc6W- Visual interpretations are meaningful ways to determine spatial trends in our data. However, underlying factors—such as inconsistent geographies, scale, data gaps, overlapping data—have the potential to produce incorrect assumptions, as valuable information may be conveniently hidden from the visual output. One way to address this issue is to amend your visual output…
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Data Visualization with Python I: Plotting Fundamentals
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data. Data visualization plays an essential role in representing data so that its underlying patterns might be conveyed and understood. The first part of this series will showcase various ways that Python can be used for…
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