October 2017
Intermediate to advanced
532 pages
16h 10m
English
Overview
The Pandas Cookbook offers a collection of practical recipes for mastering data manipulation, analysis, and visualization tasks using pandas. Through a methodological and hands-on approach, you will learn to utilize pandas for handling real-world datasets efficiently. By the end of this book, you will be able to solve complex data science problems and create insightful visual representations in Python.
What this Book will help me do
- Understand the core functionalities of pandas 0.20 for exploring datasets effectively.
- Master filtering, selecting, and transforming data for targeted analysis.
- Leverage pandas' features for aggregating and transforming grouped data.
- Restructure data for analysis and create professional visualizations using integration with Seaborn and Matplotlib.
- Gain expertise in handling time series data and SQL-like merging operations.
Author(s)
Theodore Petrou, the author of the Pandas Cookbook, is a data scientist and Python expert with extensive experience teaching and using pandas in professional settings. Known for his practical approach, he meticulously explains each recipe and includes comprehensive examples and datasets in Jupyter notebooks to enhance your learning experience.
Who is it for?
This book is aimed at data scientists, Python developers, and analysts seeking an in-depth, practical guide to mastering data analysis with pandas. Whether you're a beginner with some knowledge of Python or an experienced analyst looking to refine your skills, this cookbook provides valuable insights and techniques for your data-driven tasks.
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