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142557576
Numerisches Python: Arbeiten mit NumPy Matplotlib und Pandas
Item #:
142557576
DJF 9388
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- - Grundlagen zur Lösung numerischer Probleme mit Python- Verarbeitung großer Datenmengen mit NumPy, z. B. im maschinellen Lernen- Datenvisualisierung mit Matplotlib- Ideal für Personen aus Wissenschaft, Ingenieurwesen und Datenanalyse- Ideal zum Umstieg von Matlab auf Python- Einführung anhand vieler Beispiele und Praxisfälle sowie Musterlösungen- Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten BuchesDieses Buch vermittelt die Python-Grundlagen zur Lösung numerischer Probleme aus den Gebieten Data Science und Maschinelles Lernen.Im ersten Teil geht es um NumPy als Basis der numerischen Programmierung mit Python. Eingehend behandelt werden Arrays als zentraler Datentyp für alles, Numerische Operationen, Broadcasting und Ufuncs. Statistik und Wahrscheinlichkeitsrechnung ist ein eigenes Kapitel gewidmet, ebenso wie Boolscher Maskierung und File-Handling.Die Datenvisualisierung mit Matplotlib bildet den Schwerpunkt des zweiten Teils. Zunächst geht es um die Begrifflichkeit von Matplotlib. Behandelt werden Linien-, Balkendiagramme, Histogramme und Konturplots.Der dritte Teil dreht sich um Pandas mit seinen Series und DataFrames. Behandelt wird auch der Umgang mit verschiedensten Dateiformaten wie Excel, CSV und JSON sowie mit unvollständigen Daten und NaN. Aufgezeigt werden die Möglichkeiten der Datenvisualisierung direkt mit Pandas.Der vierte Teil bietet Beispielanwendungen des erlernten Stoffes, wie z.B. ein Haushaltsbuch und eine praxistaugliche Einnahmeüberschussrechnung. Auch findet sich hier eine Einführung in Bildverarbeitungstechniken.Fast jedes der 32 Kapitel enthält zusätzliche Übungen zum Erproben und Vertiefen des Erlernten, die zugehörigen Lösungen sind im fünften Teil zusammengefasst.AUS DEM INHALT //NumPy Numerische Operationen auf mehrdimensionalen Arrays Broadcasting und UfuncsMatplotlib: Diskrete und kontinuierliche Graphen Balken- und Säulendiagramme, Histogramme, KonturplotsPandas: Series und DataFrames Arbeiten mit Excel-, csv- und JSON-Dateien Unvollständige Daten (NaN) DatenvisualisierungPraxisbeispiele: Bildverarbeitung Haushaltsbuch und Einnahmeüberschussrechnung
| Publisher | Carl Hanser Verlag GmbH & Co. KG |
| Publication date | 11 Aug. 2023 |
| Edition | 2. Updated and expanded |
| Language | German |
| Print length | 928 pages |
| ISBN-10 | 3446471707 |
| ISBN-13 | 978-3446471702 |
| Dimensions | 18 x 3.2 x 24.7 cm |
Product Description
Numerisches Python: Arbeiten mit NumPy Matplotlib und Pandas
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