From Kafka to a Spreadsheet - A Step by Step Python Tutorial
Quix
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Quix Streams is an open source Python library for processing data in Apache Kafka. Designed around the principle of DataFrames (tabular representation of streaming data), it helps teams build real-time data pipelines for ML and analytics, by simplifying the transition from batch-based processing using libraries like Pandas to stream-based processing Best in class Python developer experience with pure Python, no JVM, no wrappers around other languages, and no cross-language debugging. It allows developers to utilize the full Python ecosystem. Itβs stateful, fault-tolerant and promotes best practices to quickly deploy and scale out for production. To learn more you can 1. Follow/star the repo: https://github.com/quixio/quix-streams 2. Join the Slack community: https://quix.io/slack-invite 3. Visit: https://quix.io/
Video Description
Sooner or later, someone will ask you to get data into a spreadsheet. It's a universal truth of the software business. So let's create a project that does exactly that! In this Python coding walkthrough, we'll show you how to build a real-time data-streaming pipeline that takes data from Apache Kafka and streams it into a live Google Spreadsheet. You see every step of the code - minus our API keys - as we build up the solution step-by-step. From empty directory to working, live-updating sheet. π₯ This project's source code: https://github.com/quixio/simple-kafka-python π¨βπ» Quix Streams Source on Github: https://github.com/quixio/quix-streams π Quix Streams API Docs: https://quix.io/docs/quix-streams/api-reference/quixstreams.html πΊ Watch all the videos in this series: https://www.youtube.com/playlist?list=PL5gMntduShmyJd2fsflN1jwLW9XtDMFAX βοΈ Google Developer Console: https://console.cloud.google.com/ -- 00:00 Intro 00:27 Weather data 01:00 Data preprocessing 06:47 Hourly data grouping 08:10 Summarize hourly data 15:10 Connect the data to google sheets 22:44 Summary 23:10 Outro
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