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Numpy is the standard Python array package. It provides not only the basic data structure, but also plenty of operations on this ...

Submit a Proposal to Speak at OSFF NYC December 8 2022 or Register to Attend: ...

When it comes to storing a lot of analytics, Apache Cassandra is a popular choice for its write performance and horizontal ...

Season 1, Talk 3 of NetDevOps Live! explores the fundamentals of Model Driven Programmability with a look at YANG and ...

【講題介紹/ Session Info】 Exploratory Data Analysis (EDA) with Python by Mr. Eason Lai / Microsoft Time: 11:15 – 11:45 ...

Take my Full Python Course Here: https://www.analystbuilder.com/courses/pandas-for-data-analysis In this series we will be ...

Try CodeCrafters for free using my referral link: https://app.codecrafters.io/join?via=trentpark8800 In this walkthrough, we dive into ...

Stereotype is a performance-focused Python 3.8 library for providing a structure for your data and validating it. The models allow ...

Making the move to a document database can be intimidating. Yes, its flexible data model gives you a lot of choices, but it also ...

Día 16. Database creation. I'm no longer going to stream in Spanish, it is evident to me that the people that may understand or ...

Michael Pyrcz Build from zero, learn some spatial data analytics / geostatistics tools and powerful uncertainty modeling workflows ...

Sure and traditional data modeling uses tools like erlin and ear studio could you recommend some online tools for the good are ...

Therefore we created a developer-friendly JSON implementation of the CityGML data model. This talk will introduce *CityJSON* ...

Miguel de la Varga The repo for this tutorial is in GitHub: https://github.com/cgre-aachen/gempy_workshops.git There is a static ...

Business Analytics, Data Modeling Stages, Data Preprocessing Techniques, Data Cleaning and Data Transformation.

Thomas Frisendal explores all aspects of Graph Data Modeling. Watch more DATAVERSITY webinars: ...

This 1.5-hour webinar will provide an introduction to the structure and use of APIs in general, and the NEON API in particular.

Tennessee Leeuwenburg https://linux.conf.au/schedule/30020/view_talk Ever tried to get into data science or machine learning, ...

We invite you to join us in this monthly DATAVERSITY webinar series, "Big Challenges with Data Modeling" hosted by Karen ...

EuroPython 2024 — North Hall on 2024-07-11] Don't fix bad data, do this instead by Martina Ivanicova ...

David Ziganto http://pyohio.org/schedule/presentation/295/ Rapid prototyping in data science often hits a wall when data is too ...

Getting complete and high-performance data is not always the case in Machine Learning. While working on any real-world ...

EuroPython 2025 — North Hall on 2025-07-18] *Data Governance 101: Stop Firefighting, Start Engineering by Kateřina ...

Florian Wagner, Carsten Rücker, Thomas Günther, Andrea Balza Tutorial Info: - https://github.com/gimli-org/transform2021 ...

Isabella Velásquez presents Chapter 12 ("Introduction to Modeling Libraries in Python") from Python for Data Analysis by Wes ...