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Curious about our new release? By July 31st, our new release will dataprep.eda module will add create_db_report function to depict the relationship inner database with web-UI! Please have a try!
More fantastic funtionalies in upcoming release!
Clean, Connect and Visualize Interactively with DataPrep! A One-in-all package for your data analysis process. This package contains three main APIs for us to use, they are: ✅Data Exploration ✅Data Cleaning ✅Data Collection #data #datascience #machinelearning
Today we welcomed Guest Speaker @JiannWang, Associate Professor, School of Computing Science, Simon Fraser University. He spoke on @DataPrepAI: Accelerate #Data Preparation for #AI. We are happy to learn of the advancement of data prep tools that better fit researcher's needs.
 
                                            My @cidrdb gong show talk: "Can your database do this?" A sneak peek into our newest adventure @ponder_io featuring @modin_project and @lux_api — more coming soon! Video (5 mins): loom.com/share/51ee8394… Slides: slideshare.net/AdityaParamesw…
slideshare.net
Can Your Database Do this?
DataPrep V0.4 is out now (github.com/sfu-db/datapre…). This version provides the fastest way to load data from DB to DataFrames (thanks to connectorx), and adds more than 100 new clean functions. Please give it a try!
We have now got DataPrep.EDA as the fastest and easiest EDA tool in 🐍 This will make my job much easy now!!🤗#DataScience #Datapreparation #Dataanalysis #Datawrangling #Python #MachineLearning #ArtificialIntelligence dataprep.ai
dataprep.ai
DataPrep — Low code data preparation in Python
DataPrep is designed and optimized for computational notebooks, the most popular environment among data scientists
Thank you!
Clean, Connect and Visualize Interactively with DataPrep! A One-in-all package for your data analysis process. This package contains three main APIs for us to use, they are: ✅Data Exploration ✅Data Cleaning ✅Data Collection #data #datascience #machinelearning
DataPrep just received its 1000th stars on GitHub! Thanks to all DataPrep contributors and users. github.com/sfu-db/dataprep
Excited to finally reveal what I've been working on these past few months... 😉🎉 w/ @lgavish and @mkvorwerck, honored to write @OReillyMedia's first-ever book on data quality and observability, Data Quality Fundamentals! Check out the early release: montecarlodata.com/oreilly-data-q…
 
                                            connector-x: Fastest Library to Load Data From DB to DataFrames in Rust and Python #python github.com/sfu-db/connect…
Thanks for your excellent tutorial video!
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