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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Feather
Binary data frame storage for Python, R, and more
Feather is a fast, interoperable binary data frame storage format designed for efficient data exchange between analysis tools. It provides columnar serialization for data frames, making read and write operations faster than many text-based formats. The project was built to make sharing data across languages such as Python and R easier. Feather is powered by the Apache Arrow columnar memory specification, which helps it represent numeric, string, categorical, date, timestamp, boolean, and binary data efficiently. It also supports null and missing values across column types. ... -
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PalOOCa OpenOffice Extension for Palo
palo olap open office calc plugin for data analysis
The PalOOCa Project offers a fast, flexible and intuitive Office-based Business Intelligence solution based on Jedox. It provides an extension for OpenOffice.org Calc which allows both, read and write, access to data from within the Jedox OLAP Server via Calc. If used together with the Open Source Jedox/Palo OLAP Server it completes the Open Source MOLAP-Stack for Business Intelligence. Additionally to Jedox OLAP it is also (read-only) compatible to (almost) all OLAP servers supporting XMLA. Intended audiences are: - scientific research & teaching - financial analysis & controlling Consult the FAQ in the Wiki.
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