Master Data Analysis with Python

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.

這本全面而易於理解的書籍深入探討了Python程式語言中的數據分析和可視化，並提供了使用真實世界數據集的實用示例和練習。

這本書是一本關於Python數據分析和可視化最佳實踐的深入指南。它專注於各種Python庫，並展示如何使用最新的語法來優化其性能。在學習pandas庫的基礎知識後，您將深入研究如何使用它進行幾乎任何類型的數據分析，每章都有練習，可以在真實世界數據集上測試您新學到的技能，例如追踪芝加哥的騎自行車者。您還將探索matplotlib和seaborn庫，並嘗試在數據分析中執行一些最常見的任務，包括選擇數據的子集並對單個或多個列進行計算。

學習如何：
- 對數據集中的獨立群組應用操作
- 在一段時間內觀察數據
- 整理數據並以易讀的方式顯示
- 同時連接多個數據集以進行工作
- 在系統上建立強大的環境進行數據科學

《用Python進行數據分析大師班》是一個關於使用世界上最受歡迎且易於學習的語言收集、分析和可視化數據的最佳實踐、庫和技術的大師班。

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.

Teddy Petrou是Python、資料探索和機器學習方面的專家，並在萊斯大學獲得統計學碩士學位。Petrou是《精通Python基礎》、《Pandas Cookbook》和《使用Python建立互動式數據分析儀表板》的作者。他已經教授了數百名學生Python和數據科學。他是使用pandas庫進行數據分析的頂尖權威之一。他是Dunder Data的創始人，也是dexplo的創作者，dexplo是一套包括bar_chart_race、dexplot、jupyter_to_medium和dataframe_image等數據科學套件。