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271256506
Python Datenanalyse: Rohdaten in verwertbare Erkenntnisse umwandeln mit Pandas NumPy und Visualisierungstools
Item #:
271256506
WST 114
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- Sind Ihre Datensätze unübersichtlich und schwer zu interpretieren? Aus rohen Informationen klare, strategische Entscheidungen abzuleiten, erfordert mehr als nur Programmierkenntnisse. Es bedarf einer strukturierten Vorgehensweise.Dieses Buch ist ein umfassendes, praxisorientiertes Handbuch zur Beherrschung des kompletten analytischen Workflows mit Python. Es richtet sich an Analysten und Entwickler, die ihre Fähigkeiten ausbauen möchten, und behandelt alles von der Einrichtung einer reproduzierbaren Umgebung bis hin zur Bereitstellung interaktiver Dashboards. Sie lernen, wie Sie komplexe Formate wie JSON und XML verarbeiten, fehlerhafte Daten bereinigen und fortgeschrittene statistische Operationen durchführen.In diesem Buch lernen Sie, wie Sie:• Professionelle, reproduzierbare Projekte mit Git und virtuellen Umgebungen aufbauen.• Verschiedene Formate (CSV, Excel, Parquet, SQL) effizient lesen und schreiben.• Daten bereinigen, indem Sie fehlende Werte, Duplikate und statistische Ausreißer verwalten.• Tabellen mit Pandas manipulieren und umstrukturieren (GroupBy, Zusammenführungen, Fensterfunktionen).• Klare, aussagekräftige Diagramme mit Matplotlib, Seaborn und Plotly erstellen.• Ihre Berechnungen für massive Datensätze mit Dask skalieren.• Interaktive Anwendungen mit Streamlit und Dash bauen, um Ihre Ergebnisse zu teilen.Verlieren Sie keine Zeit mehr mit unübersichtlichen Skripten. Lernen Sie die Techniken, die Ihre Analysen zuverlässig, reproduzierbar und bereit für die Produktion machen.Holen Sie sich Ihr Exemplar noch heute und erweitern Sie Ihre Python-Datenkompetenz.
| Publisher | Independently published |
| Publication date | 23 April 2026 |
| Language | German |
| Print length | 200 pages |
| ISBN-13 | 979-8258660657 |
| Dimensions | 17.78 x 1.17 x 25.4 cm |
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Python Datenanalyse: Rohdaten in verwertbare Erkenntnisse umwandeln mit Pandas NumPy und Visualisierungstools
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