Learning the pandas library : Python tools for data munging, data analysis, and visualization

**Python is one of the top 3 tools that Data Scientists use.**One of the tools in their arsenal is the Pandas library.__This tool is popular because it gives you so much functionality out of the box.__In addition, you can use all the power of Python to make the hard stuff easy!__Learning the Pandas Library__is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples.The Content Covers:Installation Data Structures Series CRUD Series Indexing Series Methods Series Plotting Series Examples DataFrame Methods DataFrame Statistics Grouping, Pivoting, and Reshaping Dealing with Missing Data Joining DataFrames DataFrame Examples**Preliminary Reviews**This is an__excellent introduction benefitting from clear writing and simple examples__. The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me.**-Garry C.**I have finished reading__Learning the Pandas Library__and I liked it... very useful and helpful tips even for people who use pandas regularly.**-Tom Z.** Python is one of the top 3 tools that Data Scientists use. One of the tools in their arsenal is the Pandas library. This tool is popular because it gives you so much functionality out of the box. In addition, you can use all the power of Python to make the hard stuff easy! Learning the Pandas Library is designed to bring developers and aspiring data scientists who are anxious to learn Pandas up to speed quickly. It starts with the fundamentals of the data structures. Then, it covers the essential functionality. It includes many examples, graphics, code samples, and plots from real world examples. The Content Covers: Installation Data Structures Series CRUD Series Indexing Series Methods Series Plotting Series Examples DataFrame Methods DataFrame Statistics Grouping, Pivoting, and Reshaping Dealing with Missing Data Joining DataFrames DataFrame Examples Preliminary Reviews This is an excellent introduction benefitting from clear writing and simple examples . The pandas documentation itself is large and sometimes assumes too much knowledge, in my opinion. Learning the Pandas Library bridges this gap for new users and even for those with some pandas experience such as me. -Garry C. I have finished reading Learning the Pandas Library and I liked it... very useful and helpful tips even for people who use pandas regularly. -Tom Z. From the Author......Page 4 Introduction......Page 5 Installation......Page 8 Data Structures......Page 11 Series......Page 14 Series CRUD......Page 22 Series Indexing......Page 29 Series Methods......Page 39 Series Plotting......Page 72 Another Series Example......Page 80 DataFrames......Page 91 Data Frame Example......Page 98 Data Frame Methods......Page 112 Data Frame Statistics......Page 131 Grouping, Pivoting, and Reshaping......Page 139 Dealing With Missing Data......Page 155 Joining Data Frames......Page 162 Avalanche Analysis and Plotting......Page 168 Summary......Page 199 About the Author......Page 200 Also Available......Page 201 One more thing......Page 207