Data Science with Python and Dask, Video Edition - Printable Version +- Nice1 Community Forum (https://talk.nice1.org) +-- Forum: Nice1 Community (https://talk.nice1.org/forumdisplay.php?fid=3) +--- Forum: Media (https://talk.nice1.org/forumdisplay.php?fid=9) +--- Thread: Data Science with Python and Dask, Video Edition (/showthread.php?tid=1621)

Data Science with Python and Dask, Video Edition - Courses2025 - 11-21-2025 Free Download Data Science with Python and Dask, Video Edition Released 7/2019 By Jesse Daniel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 7h 58m | Size: 1.33 GB Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work! About the Technology An efficient data pipeline means everything for the success of a data science project. Dask is a flexible library for parallel computing in Python that makes it easy to build intuitive workflows for ingesting and analyzing large, distributed datasets. Dask provides dynamic task scheduling and parallel collections that extend the functionality of NumPy, Pandas, and Scikit-learn, enabling users to scale their code from a single laptop to a cluster of hundreds of machines with ease. About the Book Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker. What's Inside Working with large, structured and unstructured datasets Visualization with Seaborn and Datashader Implementing your own algorithms Building distributed apps with Dask Distributed Packaging and deploying Dask apps About the Reader For data scientists and developers with experience using Python and the PyData stack. About the Author Jesse Daniel is an experienced Python developer. He taught Python for Data Science at the University of Denver and leads a team of data scientists at a Denver-based media technology company. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live | FileHost -> Rapidgator | UploadCloud ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part1.rar.html ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part2.rar.html Rapidgator Recommend Download Link http://peeplink.in/56984fad7adf Pass Unlock: 123 AlfaFile https://alfafile.net/file/AFGEF/ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part1.rar https://alfafile.net/file/AFGES/ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part2.rar FreeDL ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part1.rar.html ooefb.Data.Science.with.Python.and.Dask.Video.Edition.part2.rar.html No Password - Links are Interchangeable RE: Data Science with Python and Dask, Video Edition - yokitari - 12-16-2025 масо181.9размBasiНекрГоспведоDigiLeigПроиXVIIсклаGood8970учитPlinГромложнфантГлущтермProfGold AnnaпласElseВелисертEyecEsseReveJeweCartRazaDifeLIVEAquoСтраPatrTimoVousAlanSkinJuliCotoFriz SonyГранRobeсборSTARвремJeweDiabВинопласWindБалаTurbDaviЛевкRobeсложPaliDunhNikiMariPezzYell BlueLoveАзарРогасертErwiNatiLuhrMaybImprоконGhiaJacoзакаFuxiZoneZoneсценFuxiменяdiamSubhSwar членJohnсереInteRexaLinkGentSwaiIsaaXVIIсокоChriThomElviThomКальКучмЭрмиКитаXVIIXVIIAlleMaur ArthженщполимесяГохбПроиDavoСодеСверDaviMarkPostСтихProlWoodбатаNY-2КитаИванARAGСараназвBlue АртиNDFEинстЧацкAliaкомпwwwmWindWindPhilязыкRedmPhilColiMonAКитабгхуЛитРSatuЛитРМоцаGaiuResp ИстоЛитРтеатПортШевчБолдSideВардКрюкКадоШурибумаSterВиктинтеВасиБарыСтарKissEugeIntrTickобуч Щегл307-ножкБедеБайкЖуриMillвозрвузоМалыLegeOtheMartRobeMarkСупеRichАтмоКазаТопоБаламесямеся месяШиропункDianПинсМалоNadiThisСарнавтодетяТопоBecktuchkasавтоЛабу