Formatting of date

Here you see how date from JSON can be formatted by twig.Example of JSON with dates: For that create a JCI-Template with: URL: dateformattingtwig-code:See for the Syntax in date(“…”) Then add time: 1653018490 time-formatted: Friday 20.05.2022 date: 2022-10-06T00:00:00.000+0000 date-formatted: Thursday 06.10.2022 otherdate: Fri, 20 May 22 05:48:10 +0200 otherdate-formatted: Friday 20.05.2022 03:48:10 … Continue reading “Formatting of date”


summary:ML case studies. Least squares as springs. Ensuring data quality. Open data in 2020. Version control for ML. number:314 title:Issue 314 url: published_at02.12.20, 02:25


summary:Causal design patterns. Why ML is hard to tune. Experimentation guardrails. Python EDA toolkit. COVID-19 modeling lessons. How to cite data sources. number:321 title:Issue 321 url: published_at03.02.21, 06:05


summary:DS as Atomic Habit. Elegant SQL w/ R. Bayesian statistics Primer. Julia update: Python challenger? Best-of Python ML. Notes from NeurIPS 2020. number:319 title:Issue 319 url: published_at19.01.21, 22:56


summary:🔥 ML tutorial w/ crypto. ⚽ Analytics 2021. Dynamic data testing. Modeling vaccination strategies. Experimentation w/ resource constraints. number:313 title:Issue 313 url: published_at24.11.20, 22:33


summary:Data monitoring at scale. AI for Good: for REAL? Legal questions for DS. Why business intuition > ML. Density plots. Internal tool design. number:320 title:Issue 320 url: published_at27.01.21, 01:53


summary: Real-time ML in practice. Search tool for obscure datasets. Intro to probablistic ML. Python data validation. number:318 title:Issue 318 url: published_at13.01.21, 03:11


summary:Hands-on ML. COVID mobility modeling. Prediction markets vs polls. Julia Notebooks. Colliding worlds of BI and DS. ML for Java. Data discovery at Uber number:312 title:Issue 312 url: published_at18.11.20, 01:17


summary:Data quality at scale. Key statistical ideas of past 50 years. Beautiful plotting w/ ggplot2. 2020 top papers. Distill for R Markdown. number:315 title:Issue 315 url: published_at09.12.20, 03:49


summary:Code reviews for Jupyter. How models leak data. Advanced Data Science 2020. Algorithmic bias: past, present, future. End-to-end ML monitoring. number:316 title:Issue 316 url: published_at16.12.20, 01:37