Handbuch Data Science mit Python
Jake Vanderplas
Sold by Wegmann1855, Zwiesel, Germany
AbeBooks Seller since 2 June 2022
New - Soft cover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by Wegmann1855, Zwiesel, Germany
AbeBooks Seller since 2 June 2022
Condition: New
Quantity: 1 available
Add to basketNeuware -Der unverzichtbare Werkzeugkasten für Data Science in der 2. Auflage- Das bewährte Standardwerk jetzt in vollständig aktualisierter Neuauflage- Behandelt die neuesten Versionen von IPython, NumPy, pandas, Matplotlib und Scikit-Learn- Die leicht nachvollziehbaren Beispiele helfen Ihnen bei der erfolgreichen Einrichtung und Nutzung der Data-Science-Tools- Inklusive Jupyter Not Elektronisches Buch, die es Ihnen ermöglichen, den Code direkt beim Lesen auszuprobierenFür viele Data Scientists ist Python die Sprache der Wahl, weil zahlreiche ausgereifte Bibliotheken zum Speichern, Bearbeiten und Auswerten von Daten verfügbar sind. Jake VanderPlas versammelt in dieser 2. Auflage seines Standardwerks alle wichtigen Datenanalyse Tools in einem Band und erläutert deren Einsatz in der Praxis. Beschrieben werden IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn und verwandte Werkzeuge.Für Datenanalystinnen und analysten und Data Cruncher mit Python Kenntnissen ist dieses umfassende Handbuch von unschätzbarem Wert bei der Erledigung ihrer täglichen Aufgaben. Dazu gehören die Manipulation, Umwandlung und Bereinigung von Daten, die Visualisierung verschiedener Datentypen sowie die Nutzung von Daten zum Erstellen von Statistiken und Machine Learning Modellen.Dieses Handbuch beschreibt die folgenden Tools:- IPython und Jupyter bieten eine Umgebung für Berechnungen, die von vielen Data Scientists genutzt wird- NumPy stellt das ndarray zum effizienten Speichern und Bearbeiten dicht gepackter Datenarrays bereit- Pandas verfügt über das DataFrameObjekt für die Speicherung und Manipulation gelabelter und spaltenorientierter Daten- Matplotlib ermöglicht die flexible und vielseitige Visualisierung von Daten- Scikit-Learn unterstützt bei der Implementierung der wichtigsten und gebräuchlichsten Algorithmen für das Machine Learning'Jake beschreibt weit mehr als die Grundlagen dieser Open-Source-Tools; er erläutert die zugrunde liegenden Konzepte, Vorgehensweisen und Abstraktionen in klarer Sprache und mit verständlichen Erklärungen.' -- Brian Granger, Physikprofessor und Mitbegründer des Jupyter-Projekts.
Seller Inventory # 9783960092254
For many data scientists, Python is the language of choice because numerous sophisticated libraries are available for storing, editing and evaluating data. Jake VanderPlas gathered in this 2nd Edition of his standard work all important data analysis tools in one volume and explains their use in practice. Described are IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit Learn and related tools.
For data analysts and data crunchers with Python knowledge, this comprehensive handbook is invaluable in completing their daily tasks. This includes manipulation, conversion, and cleanup of data, visualization of different types of data, as well as using data to create statistics and machine learning models.
This manual describes the following tools:
»Jake describes far more than the basics of these open source tools; he explains the underlying concepts, procedures, and abstractions in clear language and with understandable explanations.« -- Brian Granger, physics professor and co-founder of the Jupyter Project
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