About the Author
Theodore Petrou is a data scientist and the founder of Dunder Data, a professional educational company focusing on exploratory data analysis. He is also the head of Houston Data Science, a meetup group with more than 2,000 members that has the primary goal of getting local data enthusiasts together in the same room to practice data science. Before founding Dunder Data, Ted was a data scientist at Schlumberger, a large oil services company, where he spent the vast majority of his time exploring data.
Some of his projects included using targeted sentiment analysis to discover the root cause of part failure from engineer text, developing customized client/server dashboarding applications, and real-time web services to avoid the mispricing of sales items. Ted received his masters degree in statistics from Rice University, and used his analytical skills to play poker professionally and teach math before becoming a data scientist. Ted is a strong supporter of learning through practice and can often be found answering questions about pandas on Stack Overflow.
发表于2024-11-05
Pandas Cookbook 2024 pdf epub mobi 电子书
图书标签: Python Pandas Programming 数据分析 计算机 编程
Key Features
Use the power of pandas to solve most complex scientific computing problems with ease
Leverage fast, robust data structures in pandas to gain useful insights from your data
Practical, easy to implement recipes for quick solutions to common problems in data using pandas
Book Description
This book will provide you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way.
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands like one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through practical situations that you are highly likely to encounter.
Many advanced recipes combine several different features across the pandas library to generate results.
What you will learn
Master the fundamentals of pandas to quickly begin exploring any dataset
Isolate any subset of data by properly selecting and querying the data
Split data into independent groups before applying aggregations and transformations to each group
Restructure data into tidy form to make data analysis and visualization easier
Prepare real-world messy datasets for machine learning
Combine and merge data from different sources through pandas SQL-like operations
Utilize pandas unparalleled time series functionality
Create beautiful and insightful visualizations through pandas direct hooks to Matplotlib and Seaborn
Nice
评分最美不过数据框———引自 艾新波
评分以dataframe和series两大数据结构为核心,把各自相关的attributes和methods结合案例讲述得非常清晰。 第8章非常有用,讲怎么把raw data通过stack, melt, pivot等方式整理成Hadley Wickham标准下的tidy data。
评分最美不过数据框———引自 艾新波
评分工具书
Pandas Cookbook 2024 pdf epub mobi 电子书