https://knjiznica.gfz.hr/files/original/3131fb7406bde8d298ee67e8c6d59724.jpg 276f1bca5f2e1e8b8df20a41ce7b53d7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Nove knjige u Knjižnici Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource <strong>Python Data Science Handbook</strong> Description An account of the resource <br />For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues.<br /><br /><br /> Creator An entity primarily responsible for making the resource <em>Jake VanderPlas</em> Publisher An entity responsible for making the resource available <em>O'Reilly</em> Date A point or period of time associated with an event in the lifecycle of the resource <em>2017</em> Identifier An unambiguous reference to the resource within a given context <em>9781491912058</em>