Miller Hands-On Data Analysis with NumPy and pandas

Implement Python packages from data manipulation to processing
1. Auflage 2018
ISBN: 978-1-78953-424-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 168 Seiten

No detailed description available for "Hands-On Data Analysis with NumPy and pandas".

Autoren/Hrsg.

Miller, Curtis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung

Inhaltsverzeichnis

Table of Contents - Setting Up a Python Data Analysis Environment
- Diving into NumPY
- Operations on NumPy Arrays
- Pandas Are Fun! What Is pandas?
- Arithmetic, Function Application and Mapping with pandas
- Managing, Indexing, and Plotting

Über Autor(innen)

Miller Curtis:

Curtis Miller is a doctoral candidate at the University of Utah studying mathematical statistics. He writes software for both research and personal interest, including the R package (CPAT) available on the Comprehensive R Archive Network (CRAN). Among Curtis Miller's publications are academic papers along with books and video courses all published by Packt Publishing. Curtis Miller's video courses include Unpacking NumPy and Pandas, Data Acquisition and Manipulation with Python, Training Your Systems with Python Statistical Modelling, and Applications of Statistical Learning with Python. His books include Hands-On Data Analysis with NumPy and Pandas.