Master Data Analysis with Python
Seiten
2024
No Starch Press,US (Verlag)
978-1-7185-0344-1 (ISBN)
No Starch Press,US (Verlag)
978-1-7185-0344-1 (ISBN)
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This comprehensive but easy-to-follow deep dive into data analysis and visualization in the Python programming language is packed with practical examples and exercises that use real-world datasets.
This book is an in-depth guide to best practices for data analysis and visualization in Python. It focuses on various Python libraries, showing you how to optimize their performance with the most up-to-date syntax. After learning the basics of the pandas library, you’ll dive into how to use it for conducting nearly any kind of data analysis—complete with exercises in every chapter that test your newfound skills on real-world datasets, like tracking Chicago bikers. You’ll also explore the matplotlib and seaborn libraries, and try out some of the most common tasks during data analysis, including selecting subsets of the data and performing calculations on single or multiple columns.
Learn to:
Apply operations to independent groups within a dataset
Observe data over a period of time
Tidy your data and display it in a reader-friendly way
Join multiple datasets to work with them at the same time
Set up a robust environment on your system to do data science
Master Data Analysis with Python is a masterclass in the best practices, libraries, and techniques for collecting, analyzing, and visualizing data with the world’s most popular, easy-to-learn language.
This book is an in-depth guide to best practices for data analysis and visualization in Python. It focuses on various Python libraries, showing you how to optimize their performance with the most up-to-date syntax. After learning the basics of the pandas library, you’ll dive into how to use it for conducting nearly any kind of data analysis—complete with exercises in every chapter that test your newfound skills on real-world datasets, like tracking Chicago bikers. You’ll also explore the matplotlib and seaborn libraries, and try out some of the most common tasks during data analysis, including selecting subsets of the data and performing calculations on single or multiple columns.
Learn to:
Apply operations to independent groups within a dataset
Observe data over a period of time
Tidy your data and display it in a reader-friendly way
Join multiple datasets to work with them at the same time
Set up a robust environment on your system to do data science
Master Data Analysis with Python is a masterclass in the best practices, libraries, and techniques for collecting, analyzing, and visualizing data with the world’s most popular, easy-to-learn language.
Teddy Petrou is an expert at Python, data exploration, and machine learning and earned his Master's degree in Statistics from Rice University. Petrou is the author of Master the Fundamentals of Python, Pandas Cookbook, and Build an Interactive Data Analytics Dashboard with Python. He has taught hundreds of students Python and data science. He is one of the foremost authorities on using the pandas library to do data analysis. He is the founder of Dunder Data and creator of dexplo, a suite of data science packages that include bar_chart_race, dexplot, jupyter_to_medium, and dataframe_image.
| Erscheint lt. Verlag | 12.11.2024 |
|---|---|
| Verlagsort | San Francisco |
| Sprache | englisch |
| Maße | 178 x 235 mm |
| Gewicht | 369 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| ISBN-10 | 1-7185-0344-X / 171850344X |
| ISBN-13 | 978-1-7185-0344-1 / 9781718503441 |
| Zustand | Neuware |
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