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January 21 · Issue #223 · View online |
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This week’s pick is a piece on how to make your Pandas dataframe plots look more professional and compelling with just one line of code. We also have articles on key trends in the 2022 data stack, as well as simpler ML with PyCaret+mlflow. Stay healthy!
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Create Stunning Plots on Pandas Dataframes in One Line of Code | Towards Data Science
The default Pandas plots use Matplotlib backend, but the use of the Cufflinks library can make those pedestrian charts look far more professional without writing additional code.
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Patterns for better insights and troubleshooting with hybrid cloud logs
How Google Cloud is helping customers improve cost and get better insights from apps and services, including data pipelines, with cloud logs.
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A Launch Event for E-commerce You Don't Want to Miss... | Jan 27th, 2022 | Integrate.io
With partners like Salesforce, Shopify, AWS, and Snowflake, Integrate.io will take the industry by storm. Don’t miss one of the first SaaS virtual launch events of the year! [Sponsored]
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The Future of the Modern Data Stack in 2022 | by Prukalpa | Jan, 2022 | Towards Data Science
This piece breaks down the 6 big ideas about the modern data stack that appeared last year and aren’t going away.
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Understanding Firestore performance with Key Visualizer
Firestore is Google Cloud’s NoSQL document database. Now that the Firestore Key Visualizer is now GA, this piece explains how to use it to get the best performance from your Firestore database.
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Act like a Machine Learning Pro in Simple Way (PyCaret + mlflow) | by Mars | Jan, 2022 | Medium
For those new to ML, or intimated by it, this piece has a simple Jupyter Notebook setup showing how PyCaret+mlflow can simplify ML model building.
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Winning a Flood-Forecasting Hackathon with Hydrology and AutoML | by Mikhail Sarafanov | Jan, 2022 | Towards Data Science
How the author’s NSS Lab team won the hackathon Emergency DataHack 2021 using AutoML tools.
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Getting to know… Jarrett C. Hurms | Nightingale
An interview with Jarrett, a data visualization practitioner and graduate-level instructor who’s also on the executive board of BlackTIDES (Black in Tech, Informatics, Data Science, Epidemiology and Social Science).
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Mexican Restaurants Rating using PowerBI | by Clare Uche | Jan, 2022 | Medium
Using PowerBI to visualize the qualities that make a good Mexican restaurant, and produce a ranking using those qualities.
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Auto-Diagnosis and Remediation in Netflix Data Platform | by Netflix Technology Blog | Jan, 2022 | Netflix TechBlog
An overview of Pensive, the tool that the Netflix Data Platform uses to address failed workloads in their production environment.
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The New Version of Orbit (v1.1) is Released: The Improvements, Design Changes, and Exciting Collaborations
Orbit is Uber’s Python package used to perform Bayesian time-series analysis and forecasting. This piece focuses on the changes and improvements in the version 1.1 updates.
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