Webinar Financial Modeling On Large Datasets Juliahub

[Webinar] Financial Modeling On Large Datasets | JuliaHub
[Webinar] Financial Modeling On Large Datasets | JuliaHub

[Webinar] Financial Modeling On Large Datasets | JuliaHub In this webinar you will learn how to use onlinestats, dataframes, and other julia packages to analyze larger than memory datasets from a standard laptop. the primary data example is currency conversion buy/offer price data at millisecond resolution from 2009 to 2016. In this webinar you will learn how to use onlinestats, juliadb, and other julia packages to analyse larger than memory datasets from a standard laptop.

Using Large Datasets In JuliaHub
Using Large Datasets In JuliaHub

Using Large Datasets In JuliaHub Learn to analyze large scale financial datasets using julia's powerful ecosystem in this 53 minute webinar led by julia computing's senior research scientist josh day. In this webinar you will learn how to use onlinestats, dataframes, and other julia packages to analyze larger than memory datasets from a standard laptop. the primary data example is currency conversion buy/offer price data at millisecond resolution from 2009 to 2016. Webinar: financial modeling using julia on large, streaming datasets in this webinar you will learn how to use onlinestats, juliadb, and other julia. In this webinar you will learn how to use onlinestats, dataframes, and other julia packages to analyze larger than memory datasets from a standard laptop. the primary data example is currency conversion buy/offer price data at millisecond resolution from 2009 to 2016.

Accelerating Modeling & Simulation | JuliaHub Webinar
Accelerating Modeling & Simulation | JuliaHub Webinar

Accelerating Modeling & Simulation | JuliaHub Webinar Webinar: financial modeling using julia on large, streaming datasets in this webinar you will learn how to use onlinestats, juliadb, and other julia. In this webinar you will learn how to use onlinestats, dataframes, and other julia packages to analyze larger than memory datasets from a standard laptop. the primary data example is currency conversion buy/offer price data at millisecond resolution from 2009 to 2016. Are you looking for a way to address the challenges of processing large datasets both awkwardness of handling and lengthy processing times? watch this webinar where we demonstrate how you can process multiple csv files using dataframes.jl in juliahub. In this free webinar, josh day covers how to use onlinestats, juliadb, and other julia packages to analyse larger than memory datasets from a standard laptop. Learn how julia's 50 100x speedup over python and r in various data science workflows such as reading a large batch of csv files, data processing and machine learning can help #fintech. Stay updated with juliahub events. join workshops and seminars focused on the latest in scientific and technical computing.

Financial Modeling on Large, Streaming Datasets

Financial Modeling on Large, Streaming Datasets

Financial Modeling on Large, Streaming Datasets

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