Idris Python Data Analysis

Learn how to apply powerful data analysis techniques with popular open source Python modules
1. Auflage 2024
ISBN: 978-1-78355-336-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 348 Seiten

Learn how to apply powerful data analysis techniques with popular open source Python modulesKey Features - Learn how to find, manipulate, and analyze data using Python
- Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python code
- An easy-to-follow guide with realistic examples that are frequently used in real-world data analysis projects
Book DescriptionThis book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.What you will learn - Install open source Python modules on various platforms
- Get to know about the fundamentals of NumPy including arrays
- Manipulate data with pandas
- Retrieve, process, store, and visualize data
- Understand signal processing and timeseries data analysis
- Work with relational and NoSQL databases
- Discover more about data modeling and machine learning
- Get to grips with interoperability and cloud computing
Who this book is forThis book is for programmers, scientists, and engineers who have knowledge of the Python language and know the basics of data science. It is for those who wish to learn different data analysis methods using Python and its libraries. This book contains all the basic ingredients you need to become an expert data analyst.

Autoren/Hrsg.

Idris, Ivan

Fachgebiete

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

Inhaltsverzeichnis

Table of Contents - Getting Started
- NumPy Arrays
- Statistics and Linear Algebra
- Pandas Primer
- Retrieving, Processing and Storing Data
- Data Visualization
- Signal Processing and Time-series
- Working with databases
- Analyzing Textual Data and Social Media
- Predictive Analytics and Machine Learning
- Environments outside of the Python ecosystem and Cloud Computing
- Performance Tuning, Profiling and Concurrency
- Appendix A
- Appendix B
- Appendix C
- Preface

Über Autor(innen)

Idris Ivan :

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.