Python, Python, and a lot more info you want to know about data and analytics

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May 2018 Hello, Analytics enthusiasts! Python seems to be the hot topic of the month. If you're new to the language or maybe you don't know anything about Python, start with the quick 5-minute read, Beginner's guide to Python and then move on to the free Data Analysis with Python course. If you're familiar with Python, you might be interested in these tutorials: Metaprogramming in Python, Accelerating Python for scientific computing, and Develop a blockchain application from scratch in Python. Have you tried IBM Watson Explorer Community Edition? If so, take this quick survey and provide your feedback to help enhance the product. There's plenty more great content in this month's newsletter, so read on. Here's the compulsory newsletter fine print I have to include every month. To change your newsletter subscription or to forward it to a friend, see the lower right corner. Or send me newsletter feedback--I'd love to hear from you! Robin Wood - Content Manager, developerWorks Big Data & Analytics New tutorials and articles Ingest and analyze event data streams for timely insights If you're interested in doing data analytics on event data while it is streaming, then this code pattern is for you. It uses Jupyter Notebook, Spark SQL, and matplotlib to show taxi trip event statistics while the events are streaming. A Java program streams the data into IBM Db2 Event Store which is optimized for event-driven data processing and analytics. Understand your data with Dynamic Dashboard Embedded Understanding data effectively can be tricky. With too little data, any kind of analysis is unreliable. But too much data can make it difficult to understand exactly what you’re looking at. Learn to easily add end-to-end data visualization capabilities to applications so users can create visualizations that feel like part of the app. Getting started with JanusGraph This quick-start to deploying the JanusGraph property graph database guides you through deployment, indexing, and visualization. Improve the flexibility of message delivery into Kafka with Kafka Custom Operation Processors When businesses have data at the right time, they can be more efficient and make the right tactical and strategic decisions. An introduction to data science The fourth and final part of this article series explores the languages of data science (hey, there's Python in this one, too!). Use IoT data in Watson Studio for billing and alerts See how to use Streams Designer in Watson Studio to ingest data from utility meters to bill and notify customers. Make your organization insight-driven with the right replication solution Irrespective of where your data resides, you need a data replication solution for real-time replication requirements in support of your data integration and analytics projects. Govern your data lake with IBM Unified Governance and integration solutions Provide clean, reliable business-ready data to all your data consumers. Data replication for big data Real-time incremental delivery of transactional data to Hadoop- and Kafka-based data lakes or data hubs with data replication. From data lake to data-driven organization Learn how metadata management and governance approaches developed for the data lake can increase the value that you get from your data. Continuous data for continuous testing Achieve project success, better software quality and faster time to market — all by keeping your test data environment lean and agile. Popular videos IBM InfoSphere Optim Test Data Orchestrator: Versioning your DataBlocks Ingest data from IoT devices in Watson Studio In the News InfoSphere DataStage integrates data across systems and applications What's new with IBM's Analytics industry models Events IBM Code Tech Talk: Create a web app to analyze and visualize IoT device data 09 May, 2018 at 1:00 pm EDT Building trusted data through deep profiling and analysis with machine learning On-demand webinar Are you creating Data Lakes or Data Swamps? 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