Python Data Analytics
Apress (Verlag)
978-1-4842-0959-2 (ISBN)
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Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language.
You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics.
This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.
Fabio Nelli, is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma (Italy). He has beena computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies.He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain).He is currently developing Java applications that interface Oracle databases with scientific instrumentations generating data and web server applications providing analysis of the results to researchers in real time.
PART I1. Setup Your Environment
2. Automation Scripts
PART II
3. Where and How to Get Data
4. Introduction to pandas
5. pandas In-Depth
6. Python Data Visualizations with matplotlib
7. Designing Beautiful Graphs
8. Analyze Text Data with Natural Language Processing
PART III9. Full Example project 1
10. Full Example project 2
11. Full Example project 3
Appendix A
Appendix B
| Zusatzinfo | 607 Illustrations, black and white; XXI, 337 p. 607 illus. |
|---|---|
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 692 g |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
| Mathematik / Informatik ► Informatik ► Web / Internet | |
| Sozialwissenschaften ► Politik / Verwaltung ► Staat / Verwaltung | |
| Schlagworte | Datenanalyse • Programmiersprache |
| ISBN-10 | 1-4842-0959-1 / 1484209591 |
| ISBN-13 | 978-1-4842-0959-2 / 9781484209592 |
| Zustand | Neuware |
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