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Data mining. --- Python (Computer program language). --- Programming --- Statistical science --- Mathematical statistics --- Python --- Programmeertalen --- Data mining --- Programming languages (Electronic computers) --- Python (Computer program language) --- 681.3*D32 --- Scripting languages (Computer science) --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Python (software) --- Programmeertaal --- Information Technology --- General and Others

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"Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process

Data Mining. --- Data mining. --- Datenanalyse. --- Datenmanagement. --- Programming languages (Electronic computers). --- Python (Computer program language). --- Python 3.6. --- Python (Computer program language) --- Programming languages (Electronic computers) --- Exploration de données. --- Python (langage de programmation) --- Langages de programmation. --- Data mining

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Erfahren Sie alles über das Manipulieren, Bereinigen, Verarbeiten und Aufbereiten von Datensätzen mit Python: Aktualisiert auf Python 3.10 und pandas 1.4, zeigt Ihnen dieses konsequent praxisbezogene Buch anhand konkreter Fallbeispiele, wie Sie eine Vielzahl von typischen Datenanalyse-Problemen effektiv lösen. Gleichzeitig lernen Sie die neuesten Versionen von pandas, NumPy und Jupyter kennen.Geschrieben von Wes McKinney, dem Begründer des pandas-Projekts, bietet Datenanalyse mit Python einen praktischen Einstieg in die Data-Science-Tools von Python. Das Buch eignet sich sowohl für Datenanalysten, für die Python Neuland ist, als auch für Python-Programmierer, die sich in Data Science und Scientific Computing einarbeiten wollen. Daten und Zusatzmaterial zum Buch sind auf GitHub verfügbar.

Python (Computer program language) --- Programming languages (Electronic computers) --- Data mining.